aiplatform – cloud.google.com/go/aiplatform/apiv1/aiplatformpb Index | Files

package aiplatformpb

import "cloud.google.com/go/aiplatform/apiv1/aiplatformpb"

Index

Variables 

var (
	AcceleratorType_name = map[int32]string{
		0:  "ACCELERATOR_TYPE_UNSPECIFIED",
		1:  "NVIDIA_TESLA_K80",
		2:  "NVIDIA_TESLA_P100",
		3:  "NVIDIA_TESLA_V100",
		4:  "NVIDIA_TESLA_P4",
		5:  "NVIDIA_TESLA_T4",
		8:  "NVIDIA_TESLA_A100",
		9:  "NVIDIA_A100_80GB",
		11: "NVIDIA_L4",
		13: "NVIDIA_H100_80GB",
		14: "NVIDIA_H100_MEGA_80GB",
		6:  "TPU_V2",
		7:  "TPU_V3",
		10: "TPU_V4_POD",
		12: "TPU_V5_LITEPOD",
	}
	AcceleratorType_value = map[string]int32{
		"ACCELERATOR_TYPE_UNSPECIFIED": 0,
		"NVIDIA_TESLA_K80":             1,
		"NVIDIA_TESLA_P100":            2,
		"NVIDIA_TESLA_V100":            3,
		"NVIDIA_TESLA_P4":              4,
		"NVIDIA_TESLA_T4":              5,
		"NVIDIA_TESLA_A100":            8,
		"NVIDIA_A100_80GB":             9,
		"NVIDIA_L4":                    11,
		"NVIDIA_H100_80GB":             13,
		"NVIDIA_H100_MEGA_80GB":        14,
		"TPU_V2":                       6,
		"TPU_V3":                       7,
		"TPU_V4_POD":                   10,
		"TPU_V5_LITEPOD":               12,
	}
)

Enum value maps for AcceleratorType. 

var (
	Artifact_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "PENDING",
		2: "LIVE",
	}
	Artifact_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"PENDING":           1,
		"LIVE":              2,
	}
)

Enum value maps for Artifact_State. 

var (
	HarmCategory_name = map[int32]string{
		0: "HARM_CATEGORY_UNSPECIFIED",
		1: "HARM_CATEGORY_HATE_SPEECH",
		2: "HARM_CATEGORY_DANGEROUS_CONTENT",
		3: "HARM_CATEGORY_HARASSMENT",
		4: "HARM_CATEGORY_SEXUALLY_EXPLICIT",
		5: "HARM_CATEGORY_CIVIC_INTEGRITY",
	}
	HarmCategory_value = map[string]int32{
		"HARM_CATEGORY_UNSPECIFIED":       0,
		"HARM_CATEGORY_HATE_SPEECH":       1,
		"HARM_CATEGORY_DANGEROUS_CONTENT": 2,
		"HARM_CATEGORY_HARASSMENT":        3,
		"HARM_CATEGORY_SEXUALLY_EXPLICIT": 4,
		"HARM_CATEGORY_CIVIC_INTEGRITY":   5,
	}
)

Enum value maps for HarmCategory. 

var (
	Modality_name = map[int32]string{
		0: "MODALITY_UNSPECIFIED",
		1: "TEXT",
		2: "IMAGE",
		3: "VIDEO",
		4: "AUDIO",
		5: "DOCUMENT",
	}
	Modality_value = map[string]int32{
		"MODALITY_UNSPECIFIED": 0,
		"TEXT":                 1,
		"IMAGE":                2,
		"VIDEO":                3,
		"AUDIO":                4,
		"DOCUMENT":             5,
	}
)

Enum value maps for Modality. 

var (
	GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference_name = map[int32]string{
		0: "UNKNOWN",
		1: "PRIORITIZE_QUALITY",
		2: "BALANCED",
		3: "PRIORITIZE_COST",
	}
	GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference_value = map[string]int32{
		"UNKNOWN":            0,
		"PRIORITIZE_QUALITY": 1,
		"BALANCED":           2,
		"PRIORITIZE_COST":    3,
	}
)

Enum value maps for GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference. 

var (
	SafetySetting_HarmBlockThreshold_name = map[int32]string{
		0: "HARM_BLOCK_THRESHOLD_UNSPECIFIED",
		1: "BLOCK_LOW_AND_ABOVE",
		2: "BLOCK_MEDIUM_AND_ABOVE",
		3: "BLOCK_ONLY_HIGH",
		4: "BLOCK_NONE",
		5: "OFF",
	}
	SafetySetting_HarmBlockThreshold_value = map[string]int32{
		"HARM_BLOCK_THRESHOLD_UNSPECIFIED": 0,
		"BLOCK_LOW_AND_ABOVE":              1,
		"BLOCK_MEDIUM_AND_ABOVE":           2,
		"BLOCK_ONLY_HIGH":                  3,
		"BLOCK_NONE":                       4,
		"OFF":                              5,
	}
)

Enum value maps for SafetySetting_HarmBlockThreshold. 

var (
	SafetySetting_HarmBlockMethod_name = map[int32]string{
		0: "HARM_BLOCK_METHOD_UNSPECIFIED",
		1: "SEVERITY",
		2: "PROBABILITY",
	}
	SafetySetting_HarmBlockMethod_value = map[string]int32{
		"HARM_BLOCK_METHOD_UNSPECIFIED": 0,
		"SEVERITY":                      1,
		"PROBABILITY":                   2,
	}
)

Enum value maps for SafetySetting_HarmBlockMethod. 

var (
	SafetyRating_HarmProbability_name = map[int32]string{
		0: "HARM_PROBABILITY_UNSPECIFIED",
		1: "NEGLIGIBLE",
		2: "LOW",
		3: "MEDIUM",
		4: "HIGH",
	}
	SafetyRating_HarmProbability_value = map[string]int32{
		"HARM_PROBABILITY_UNSPECIFIED": 0,
		"NEGLIGIBLE":                   1,
		"LOW":                          2,
		"MEDIUM":                       3,
		"HIGH":                         4,
	}
)

Enum value maps for SafetyRating_HarmProbability. 

var (
	SafetyRating_HarmSeverity_name = map[int32]string{
		0: "HARM_SEVERITY_UNSPECIFIED",
		1: "HARM_SEVERITY_NEGLIGIBLE",
		2: "HARM_SEVERITY_LOW",
		3: "HARM_SEVERITY_MEDIUM",
		4: "HARM_SEVERITY_HIGH",
	}
	SafetyRating_HarmSeverity_value = map[string]int32{
		"HARM_SEVERITY_UNSPECIFIED": 0,
		"HARM_SEVERITY_NEGLIGIBLE":  1,
		"HARM_SEVERITY_LOW":         2,
		"HARM_SEVERITY_MEDIUM":      3,
		"HARM_SEVERITY_HIGH":        4,
	}
)

Enum value maps for SafetyRating_HarmSeverity. 

var (
	Candidate_FinishReason_name = map[int32]string{
		0: "FINISH_REASON_UNSPECIFIED",
		1: "STOP",
		2: "MAX_TOKENS",
		3: "SAFETY",
		4: "RECITATION",
		5: "OTHER",
		6: "BLOCKLIST",
		7: "PROHIBITED_CONTENT",
		8: "SPII",
		9: "MALFORMED_FUNCTION_CALL",
	}
	Candidate_FinishReason_value = map[string]int32{
		"FINISH_REASON_UNSPECIFIED": 0,
		"STOP":                      1,
		"MAX_TOKENS":                2,
		"SAFETY":                    3,
		"RECITATION":                4,
		"OTHER":                     5,
		"BLOCKLIST":                 6,
		"PROHIBITED_CONTENT":        7,
		"SPII":                      8,
		"MALFORMED_FUNCTION_CALL":   9,
	}
)

Enum value maps for Candidate_FinishReason. 

var (
	Scheduling_Strategy_name = map[int32]string{
		0: "STRATEGY_UNSPECIFIED",
		1: "ON_DEMAND",
		2: "LOW_COST",
		3: "STANDARD",
		4: "SPOT",
		6: "FLEX_START",
	}
	Scheduling_Strategy_value = map[string]int32{
		"STRATEGY_UNSPECIFIED": 0,
		"ON_DEMAND":            1,
		"LOW_COST":             2,
		"STANDARD":             3,
		"SPOT":                 4,
		"FLEX_START":           6,
	}
)

Enum value maps for Scheduling_Strategy. 

var (
	SampleConfig_SampleStrategy_name = map[int32]string{
		0: "SAMPLE_STRATEGY_UNSPECIFIED",
		1: "UNCERTAINTY",
	}
	SampleConfig_SampleStrategy_value = map[string]int32{
		"SAMPLE_STRATEGY_UNSPECIFIED": 0,
		"UNCERTAINTY":                 1,
	}
)

Enum value maps for SampleConfig_SampleStrategy. 

var (
	ExportDataConfig_ExportUse_name = map[int32]string{
		0: "EXPORT_USE_UNSPECIFIED",
		6: "CUSTOM_CODE_TRAINING",
	}
	ExportDataConfig_ExportUse_value = map[string]int32{
		"EXPORT_USE_UNSPECIFIED": 0,
		"CUSTOM_CODE_TRAINING":   6,
	}
)

Enum value maps for ExportDataConfig_ExportUse. 

var (
	EvaluatedAnnotation_EvaluatedAnnotationType_name = map[int32]string{
		0: "EVALUATED_ANNOTATION_TYPE_UNSPECIFIED",
		1: "TRUE_POSITIVE",
		2: "FALSE_POSITIVE",
		3: "FALSE_NEGATIVE",
	}
	EvaluatedAnnotation_EvaluatedAnnotationType_value = map[string]int32{
		"EVALUATED_ANNOTATION_TYPE_UNSPECIFIED": 0,
		"TRUE_POSITIVE":                         1,
		"FALSE_POSITIVE":                        2,
		"FALSE_NEGATIVE":                        3,
	}
)

Enum value maps for EvaluatedAnnotation_EvaluatedAnnotationType. 

var (
	ErrorAnalysisAnnotation_QueryType_name = map[int32]string{
		0: "QUERY_TYPE_UNSPECIFIED",
		1: "ALL_SIMILAR",
		2: "SAME_CLASS_SIMILAR",
		3: "SAME_CLASS_DISSIMILAR",
	}
	ErrorAnalysisAnnotation_QueryType_value = map[string]int32{
		"QUERY_TYPE_UNSPECIFIED": 0,
		"ALL_SIMILAR":            1,
		"SAME_CLASS_SIMILAR":     2,
		"SAME_CLASS_DISSIMILAR":  3,
	}
)

Enum value maps for ErrorAnalysisAnnotation_QueryType. 

var (
	PairwiseChoice_name = map[int32]string{
		0: "PAIRWISE_CHOICE_UNSPECIFIED",
		1: "BASELINE",
		2: "CANDIDATE",
		3: "TIE",
	}
	PairwiseChoice_value = map[string]int32{
		"PAIRWISE_CHOICE_UNSPECIFIED": 0,
		"BASELINE":                    1,
		"CANDIDATE":                   2,
		"TIE":                         3,
	}
)

Enum value maps for PairwiseChoice. 

var (
	CometSpec_CometVersion_name = map[int32]string{
		0: "COMET_VERSION_UNSPECIFIED",
		2: "COMET_22_SRC_REF",
	}
	CometSpec_CometVersion_value = map[string]int32{
		"COMET_VERSION_UNSPECIFIED": 0,
		"COMET_22_SRC_REF":          2,
	}
)

Enum value maps for CometSpec_CometVersion. 

var (
	MetricxSpec_MetricxVersion_name = map[int32]string{
		0: "METRICX_VERSION_UNSPECIFIED",
		1: "METRICX_24_REF",
		2: "METRICX_24_SRC",
		3: "METRICX_24_SRC_REF",
	}
	MetricxSpec_MetricxVersion_value = map[string]int32{
		"METRICX_VERSION_UNSPECIFIED": 0,
		"METRICX_24_REF":              1,
		"METRICX_24_SRC":              2,
		"METRICX_24_SRC_REF":          3,
	}
)

Enum value maps for MetricxSpec_MetricxVersion. 

var (
	Event_Type_name = map[int32]string{
		0: "TYPE_UNSPECIFIED",
		1: "INPUT",
		2: "OUTPUT",
	}
	Event_Type_value = map[string]int32{
		"TYPE_UNSPECIFIED": 0,
		"INPUT":            1,
		"OUTPUT":           2,
	}
)

Enum value maps for Event_Type. 

var (
	Execution_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "NEW",
		2: "RUNNING",
		3: "COMPLETE",
		4: "FAILED",
		5: "CACHED",
		6: "CANCELLED",
	}
	Execution_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"NEW":               1,
		"RUNNING":           2,
		"COMPLETE":          3,
		"FAILED":            4,
		"CACHED":            5,
		"CANCELLED":         6,
	}
)

Enum value maps for Execution_State. 

var (
	Examples_ExampleGcsSource_DataFormat_name = map[int32]string{
		0: "DATA_FORMAT_UNSPECIFIED",
		1: "JSONL",
	}
	Examples_ExampleGcsSource_DataFormat_value = map[string]int32{
		"DATA_FORMAT_UNSPECIFIED": 0,
		"JSONL":                   1,
	}
)

Enum value maps for Examples_ExampleGcsSource_DataFormat. 

var (
	Presets_Query_name = map[int32]string{
		0: "PRECISE",
		1: "FAST",
	}
	Presets_Query_value = map[string]int32{
		"PRECISE": 0,
		"FAST":    1,
	}
)

Enum value maps for Presets_Query. 

var (
	Presets_Modality_name = map[int32]string{
		0: "MODALITY_UNSPECIFIED",
		1: "IMAGE",
		2: "TEXT",
		3: "TABULAR",
	}
	Presets_Modality_value = map[string]int32{
		"MODALITY_UNSPECIFIED": 0,
		"IMAGE":                1,
		"TEXT":                 2,
		"TABULAR":              3,
	}
)

Enum value maps for Presets_Modality. 

var (
	ExamplesOverride_DataFormat_name = map[int32]string{
		0: "DATA_FORMAT_UNSPECIFIED",
		1: "INSTANCES",
		2: "EMBEDDINGS",
	}
	ExamplesOverride_DataFormat_value = map[string]int32{
		"DATA_FORMAT_UNSPECIFIED": 0,
		"INSTANCES":               1,
		"EMBEDDINGS":              2,
	}
)

Enum value maps for ExamplesOverride_DataFormat. 

var (
	ExplanationMetadata_InputMetadata_Encoding_name = map[int32]string{
		0: "ENCODING_UNSPECIFIED",
		1: "IDENTITY",
		2: "BAG_OF_FEATURES",
		3: "BAG_OF_FEATURES_SPARSE",
		4: "INDICATOR",
		5: "COMBINED_EMBEDDING",
		6: "CONCAT_EMBEDDING",
	}
	ExplanationMetadata_InputMetadata_Encoding_value = map[string]int32{
		"ENCODING_UNSPECIFIED":   0,
		"IDENTITY":               1,
		"BAG_OF_FEATURES":        2,
		"BAG_OF_FEATURES_SPARSE": 3,
		"INDICATOR":              4,
		"COMBINED_EMBEDDING":     5,
		"CONCAT_EMBEDDING":       6,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Encoding. 

var (
	ExplanationMetadata_InputMetadata_Visualization_Type_name = map[int32]string{
		0: "TYPE_UNSPECIFIED",
		1: "PIXELS",
		2: "OUTLINES",
	}
	ExplanationMetadata_InputMetadata_Visualization_Type_value = map[string]int32{
		"TYPE_UNSPECIFIED": 0,
		"PIXELS":           1,
		"OUTLINES":         2,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_Type. 

var (
	ExplanationMetadata_InputMetadata_Visualization_Polarity_name = map[int32]string{
		0: "POLARITY_UNSPECIFIED",
		1: "POSITIVE",
		2: "NEGATIVE",
		3: "BOTH",
	}
	ExplanationMetadata_InputMetadata_Visualization_Polarity_value = map[string]int32{
		"POLARITY_UNSPECIFIED": 0,
		"POSITIVE":             1,
		"NEGATIVE":             2,
		"BOTH":                 3,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_Polarity. 

var (
	ExplanationMetadata_InputMetadata_Visualization_ColorMap_name = map[int32]string{
		0: "COLOR_MAP_UNSPECIFIED",
		1: "PINK_GREEN",
		2: "VIRIDIS",
		3: "RED",
		4: "GREEN",
		6: "RED_GREEN",
		5: "PINK_WHITE_GREEN",
	}
	ExplanationMetadata_InputMetadata_Visualization_ColorMap_value = map[string]int32{
		"COLOR_MAP_UNSPECIFIED": 0,
		"PINK_GREEN":            1,
		"VIRIDIS":               2,
		"RED":                   3,
		"GREEN":                 4,
		"RED_GREEN":             6,
		"PINK_WHITE_GREEN":      5,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_ColorMap. 

var (
	ExplanationMetadata_InputMetadata_Visualization_OverlayType_name = map[int32]string{
		0: "OVERLAY_TYPE_UNSPECIFIED",
		1: "NONE",
		2: "ORIGINAL",
		3: "GRAYSCALE",
		4: "MASK_BLACK",
	}
	ExplanationMetadata_InputMetadata_Visualization_OverlayType_value = map[string]int32{
		"OVERLAY_TYPE_UNSPECIFIED": 0,
		"NONE":                     1,
		"ORIGINAL":                 2,
		"GRAYSCALE":                3,
		"MASK_BLACK":               4,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_OverlayType. 

var (
	Feature_ValueType_name = map[int32]string{
		0:  "VALUE_TYPE_UNSPECIFIED",
		1:  "BOOL",
		2:  "BOOL_ARRAY",
		3:  "DOUBLE",
		4:  "DOUBLE_ARRAY",
		9:  "INT64",
		10: "INT64_ARRAY",
		11: "STRING",
		12: "STRING_ARRAY",
		13: "BYTES",
		14: "STRUCT",
	}
	Feature_ValueType_value = map[string]int32{
		"VALUE_TYPE_UNSPECIFIED": 0,
		"BOOL":                   1,
		"BOOL_ARRAY":             2,
		"DOUBLE":                 3,
		"DOUBLE_ARRAY":           4,
		"INT64":                  9,
		"INT64_ARRAY":            10,
		"STRING":                 11,
		"STRING_ARRAY":           12,
		"BYTES":                  13,
		"STRUCT":                 14,
	}
)

Enum value maps for Feature_ValueType. 

var (
	Feature_MonitoringStatsAnomaly_Objective_name = map[int32]string{
		0: "OBJECTIVE_UNSPECIFIED",
		1: "IMPORT_FEATURE_ANALYSIS",
		2: "SNAPSHOT_ANALYSIS",
	}
	Feature_MonitoringStatsAnomaly_Objective_value = map[string]int32{
		"OBJECTIVE_UNSPECIFIED":   0,
		"IMPORT_FEATURE_ANALYSIS": 1,
		"SNAPSHOT_ANALYSIS":       2,
	}
)

Enum value maps for Feature_MonitoringStatsAnomaly_Objective. 

var (
	FeatureOnlineStore_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "STABLE",
		2: "UPDATING",
	}
	FeatureOnlineStore_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"STABLE":            1,
		"UPDATING":          2,
	}
)

Enum value maps for FeatureOnlineStore_State. 

var (
	FeatureViewDataFormat_name = map[int32]string{
		0: "FEATURE_VIEW_DATA_FORMAT_UNSPECIFIED",
		1: "KEY_VALUE",
		2: "PROTO_STRUCT",
	}
	FeatureViewDataFormat_value = map[string]int32{
		"FEATURE_VIEW_DATA_FORMAT_UNSPECIFIED": 0,
		"KEY_VALUE":                            1,
		"PROTO_STRUCT":                         2,
	}
)

Enum value maps for FeatureViewDataFormat. 

var (
	NearestNeighborQuery_NumericFilter_Operator_name = map[int32]string{
		0: "OPERATOR_UNSPECIFIED",
		1: "LESS",
		2: "LESS_EQUAL",
		3: "EQUAL",
		4: "GREATER_EQUAL",
		5: "GREATER",
		6: "NOT_EQUAL",
	}
	NearestNeighborQuery_NumericFilter_Operator_value = map[string]int32{
		"OPERATOR_UNSPECIFIED": 0,
		"LESS":                 1,
		"LESS_EQUAL":           2,
		"EQUAL":                3,
		"GREATER_EQUAL":        4,
		"GREATER":              5,
		"NOT_EQUAL":            6,
	}
)

Enum value maps for NearestNeighborQuery_NumericFilter_Operator. 

var (
	FeatureView_ServiceAgentType_name = map[int32]string{
		0: "SERVICE_AGENT_TYPE_UNSPECIFIED",
		1: "SERVICE_AGENT_TYPE_PROJECT",
		2: "SERVICE_AGENT_TYPE_FEATURE_VIEW",
	}
	FeatureView_ServiceAgentType_value = map[string]int32{
		"SERVICE_AGENT_TYPE_UNSPECIFIED":  0,
		"SERVICE_AGENT_TYPE_PROJECT":      1,
		"SERVICE_AGENT_TYPE_FEATURE_VIEW": 2,
	}
)

Enum value maps for FeatureView_ServiceAgentType. 

var (
	FeatureView_IndexConfig_DistanceMeasureType_name = map[int32]string{
		0: "DISTANCE_MEASURE_TYPE_UNSPECIFIED",
		1: "SQUARED_L2_DISTANCE",
		2: "COSINE_DISTANCE",
		3: "DOT_PRODUCT_DISTANCE",
	}
	FeatureView_IndexConfig_DistanceMeasureType_value = map[string]int32{
		"DISTANCE_MEASURE_TYPE_UNSPECIFIED": 0,
		"SQUARED_L2_DISTANCE":               1,
		"COSINE_DISTANCE":                   2,
		"DOT_PRODUCT_DISTANCE":              3,
	}
)

Enum value maps for FeatureView_IndexConfig_DistanceMeasureType. 

var (
	Featurestore_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "STABLE",
		2: "UPDATING",
	}
	Featurestore_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"STABLE":            1,
		"UPDATING":          2,
	}
)

Enum value maps for Featurestore_State. 

var (
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "DEFAULT",
		2: "ENABLED",
		3: "DISABLED",
	}
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"DEFAULT":           1,
		"ENABLED":           2,
		"DISABLED":          3,
	}
)

Enum value maps for FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State. 

var (
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_name = map[int32]string{
		0: "BASELINE_UNSPECIFIED",
		1: "LATEST_STATS",
		2: "MOST_RECENT_SNAPSHOT_STATS",
		3: "PREVIOUS_IMPORT_FEATURES_STATS",
	}
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_value = map[string]int32{
		"BASELINE_UNSPECIFIED":           0,
		"LATEST_STATS":                   1,
		"MOST_RECENT_SNAPSHOT_STATS":     2,
		"PREVIOUS_IMPORT_FEATURES_STATS": 3,
	}
)

Enum value maps for FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline. 

var (
	Index_IndexUpdateMethod_name = map[int32]string{
		0: "INDEX_UPDATE_METHOD_UNSPECIFIED",
		1: "BATCH_UPDATE",
		2: "STREAM_UPDATE",
	}
	Index_IndexUpdateMethod_value = map[string]int32{
		"INDEX_UPDATE_METHOD_UNSPECIFIED": 0,
		"BATCH_UPDATE":                    1,
		"STREAM_UPDATE":                   2,
	}
)

Enum value maps for Index_IndexUpdateMethod. 

var (
	IndexDatapoint_NumericRestriction_Operator_name = map[int32]string{
		0: "OPERATOR_UNSPECIFIED",
		1: "LESS",
		2: "LESS_EQUAL",
		3: "EQUAL",
		4: "GREATER_EQUAL",
		5: "GREATER",
		6: "NOT_EQUAL",
	}
	IndexDatapoint_NumericRestriction_Operator_value = map[string]int32{
		"OPERATOR_UNSPECIFIED": 0,
		"LESS":                 1,
		"LESS_EQUAL":           2,
		"EQUAL":                3,
		"GREATER_EQUAL":        4,
		"GREATER":              5,
		"NOT_EQUAL":            6,
	}
)

Enum value maps for IndexDatapoint_NumericRestriction_Operator. 

var (
	NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_name = map[int32]string{
		0:  "ERROR_TYPE_UNSPECIFIED",
		1:  "EMPTY_LINE",
		2:  "INVALID_JSON_SYNTAX",
		3:  "INVALID_CSV_SYNTAX",
		4:  "INVALID_AVRO_SYNTAX",
		5:  "INVALID_EMBEDDING_ID",
		6:  "EMBEDDING_SIZE_MISMATCH",
		7:  "NAMESPACE_MISSING",
		8:  "PARSING_ERROR",
		9:  "DUPLICATE_NAMESPACE",
		10: "OP_IN_DATAPOINT",
		11: "MULTIPLE_VALUES",
		12: "INVALID_NUMERIC_VALUE",
		13: "INVALID_ENCODING",
		14: "INVALID_SPARSE_DIMENSIONS",
		15: "INVALID_TOKEN_VALUE",
		16: "INVALID_SPARSE_EMBEDDING",
		17: "INVALID_EMBEDDING",
	}
	NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_value = map[string]int32{
		"ERROR_TYPE_UNSPECIFIED":    0,
		"EMPTY_LINE":                1,
		"INVALID_JSON_SYNTAX":       2,
		"INVALID_CSV_SYNTAX":        3,
		"INVALID_AVRO_SYNTAX":       4,
		"INVALID_EMBEDDING_ID":      5,
		"EMBEDDING_SIZE_MISMATCH":   6,
		"NAMESPACE_MISSING":         7,
		"PARSING_ERROR":             8,
		"DUPLICATE_NAMESPACE":       9,
		"OP_IN_DATAPOINT":           10,
		"MULTIPLE_VALUES":           11,
		"INVALID_NUMERIC_VALUE":     12,
		"INVALID_ENCODING":          13,
		"INVALID_SPARSE_DIMENSIONS": 14,
		"INVALID_TOKEN_VALUE":       15,
		"INVALID_SPARSE_EMBEDDING":  16,
		"INVALID_EMBEDDING":         17,
	}
)

Enum value maps for NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType. 

var (
	GoogleDriveSource_ResourceId_ResourceType_name = map[int32]string{
		0: "RESOURCE_TYPE_UNSPECIFIED",
		1: "RESOURCE_TYPE_FILE",
		2: "RESOURCE_TYPE_FOLDER",
	}
	GoogleDriveSource_ResourceId_ResourceType_value = map[string]int32{
		"RESOURCE_TYPE_UNSPECIFIED": 0,
		"RESOURCE_TYPE_FILE":        1,
		"RESOURCE_TYPE_FOLDER":      2,
	}
)

Enum value maps for GoogleDriveSource_ResourceId_ResourceType. 

var (
	JobState_name = map[int32]string{
		0:  "JOB_STATE_UNSPECIFIED",
		1:  "JOB_STATE_QUEUED",
		2:  "JOB_STATE_PENDING",
		3:  "JOB_STATE_RUNNING",
		4:  "JOB_STATE_SUCCEEDED",
		5:  "JOB_STATE_FAILED",
		6:  "JOB_STATE_CANCELLING",
		7:  "JOB_STATE_CANCELLED",
		8:  "JOB_STATE_PAUSED",
		9:  "JOB_STATE_EXPIRED",
		10: "JOB_STATE_UPDATING",
		11: "JOB_STATE_PARTIALLY_SUCCEEDED",
	}
	JobState_value = map[string]int32{
		"JOB_STATE_UNSPECIFIED":         0,
		"JOB_STATE_QUEUED":              1,
		"JOB_STATE_PENDING":             2,
		"JOB_STATE_RUNNING":             3,
		"JOB_STATE_SUCCEEDED":           4,
		"JOB_STATE_FAILED":              5,
		"JOB_STATE_CANCELLING":          6,
		"JOB_STATE_CANCELLED":           7,
		"JOB_STATE_PAUSED":              8,
		"JOB_STATE_EXPIRED":             9,
		"JOB_STATE_UPDATING":            10,
		"JOB_STATE_PARTIALLY_SUCCEEDED": 11,
	}
)

Enum value maps for JobState. 

var (
	MetadataSchema_MetadataSchemaType_name = map[int32]string{
		0: "METADATA_SCHEMA_TYPE_UNSPECIFIED",
		1: "ARTIFACT_TYPE",
		2: "EXECUTION_TYPE",
		3: "CONTEXT_TYPE",
	}
	MetadataSchema_MetadataSchemaType_value = map[string]int32{
		"METADATA_SCHEMA_TYPE_UNSPECIFIED": 0,
		"ARTIFACT_TYPE":                    1,
		"EXECUTION_TYPE":                   2,
		"CONTEXT_TYPE":                     3,
	}
)

Enum value maps for MetadataSchema_MetadataSchemaType. 

var (
	Model_DeploymentResourcesType_name = map[int32]string{
		0: "DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED",
		1: "DEDICATED_RESOURCES",
		2: "AUTOMATIC_RESOURCES",
		3: "SHARED_RESOURCES",
	}
	Model_DeploymentResourcesType_value = map[string]int32{
		"DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED": 0,
		"DEDICATED_RESOURCES":                   1,
		"AUTOMATIC_RESOURCES":                   2,
		"SHARED_RESOURCES":                      3,
	}
)

Enum value maps for Model_DeploymentResourcesType. 

var (
	Model_ExportFormat_ExportableContent_name = map[int32]string{
		0: "EXPORTABLE_CONTENT_UNSPECIFIED",
		1: "ARTIFACT",
		2: "IMAGE",
	}
	Model_ExportFormat_ExportableContent_value = map[string]int32{
		"EXPORTABLE_CONTENT_UNSPECIFIED": 0,
		"ARTIFACT":                       1,
		"IMAGE":                          2,
	}
)

Enum value maps for Model_ExportFormat_ExportableContent. 

var (
	ModelSourceInfo_ModelSourceType_name = map[int32]string{
		0: "MODEL_SOURCE_TYPE_UNSPECIFIED",
		1: "AUTOML",
		2: "CUSTOM",
		3: "BQML",
		4: "MODEL_GARDEN",
		5: "GENIE",
		6: "CUSTOM_TEXT_EMBEDDING",
		7: "MARKETPLACE",
	}
	ModelSourceInfo_ModelSourceType_value = map[string]int32{
		"MODEL_SOURCE_TYPE_UNSPECIFIED": 0,
		"AUTOML":                        1,
		"CUSTOM":                        2,
		"BQML":                          3,
		"MODEL_GARDEN":                  4,
		"GENIE":                         5,
		"CUSTOM_TEXT_EMBEDDING":         6,
		"MARKETPLACE":                   7,
	}
)

Enum value maps for ModelSourceInfo_ModelSourceType. 

var (
	ModelDeploymentMonitoringObjectiveType_name = map[int32]string{
		0: "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED",
		1: "RAW_FEATURE_SKEW",
		2: "RAW_FEATURE_DRIFT",
		3: "FEATURE_ATTRIBUTION_SKEW",
		4: "FEATURE_ATTRIBUTION_DRIFT",
	}
	ModelDeploymentMonitoringObjectiveType_value = map[string]int32{
		"MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED": 0,
		"RAW_FEATURE_SKEW":          1,
		"RAW_FEATURE_DRIFT":         2,
		"FEATURE_ATTRIBUTION_SKEW":  3,
		"FEATURE_ATTRIBUTION_DRIFT": 4,
	}
)

Enum value maps for ModelDeploymentMonitoringObjectiveType. 

var (
	ModelDeploymentMonitoringJob_MonitoringScheduleState_name = map[int32]string{
		0: "MONITORING_SCHEDULE_STATE_UNSPECIFIED",
		1: "PENDING",
		2: "OFFLINE",
		3: "RUNNING",
	}
	ModelDeploymentMonitoringJob_MonitoringScheduleState_value = map[string]int32{
		"MONITORING_SCHEDULE_STATE_UNSPECIFIED": 0,
		"PENDING":                               1,
		"OFFLINE":                               2,
		"RUNNING":                               3,
	}
)

Enum value maps for ModelDeploymentMonitoringJob_MonitoringScheduleState. 

var (
	ModelDeploymentMonitoringBigQueryTable_LogSource_name = map[int32]string{
		0: "LOG_SOURCE_UNSPECIFIED",
		1: "TRAINING",
		2: "SERVING",
	}
	ModelDeploymentMonitoringBigQueryTable_LogSource_value = map[string]int32{
		"LOG_SOURCE_UNSPECIFIED": 0,
		"TRAINING":               1,
		"SERVING":                2,
	}
)

Enum value maps for ModelDeploymentMonitoringBigQueryTable_LogSource. 

var (
	ModelDeploymentMonitoringBigQueryTable_LogType_name = map[int32]string{
		0: "LOG_TYPE_UNSPECIFIED",
		1: "PREDICT",
		2: "EXPLAIN",
	}
	ModelDeploymentMonitoringBigQueryTable_LogType_value = map[string]int32{
		"LOG_TYPE_UNSPECIFIED": 0,
		"PREDICT":              1,
		"EXPLAIN":              2,
	}
)

Enum value maps for ModelDeploymentMonitoringBigQueryTable_LogType. 

var (
	PublisherModelView_name = map[int32]string{
		0: "PUBLISHER_MODEL_VIEW_UNSPECIFIED",
		1: "PUBLISHER_MODEL_VIEW_BASIC",
		2: "PUBLISHER_MODEL_VIEW_FULL",
		3: "PUBLISHER_MODEL_VERSION_VIEW_BASIC",
	}
	PublisherModelView_value = map[string]int32{
		"PUBLISHER_MODEL_VIEW_UNSPECIFIED":   0,
		"PUBLISHER_MODEL_VIEW_BASIC":         1,
		"PUBLISHER_MODEL_VIEW_FULL":          2,
		"PUBLISHER_MODEL_VERSION_VIEW_BASIC": 3,
	}
)

Enum value maps for PublisherModelView. 

var (
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_name = map[int32]string{
		0: "PREDICTION_FORMAT_UNSPECIFIED",
		2: "JSONL",
		3: "BIGQUERY",
	}
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_value = map[string]int32{
		"PREDICTION_FORMAT_UNSPECIFIED": 0,
		"JSONL":                         2,
		"BIGQUERY":                      3,
	}
)

Enum value maps for ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat. 

var (
	NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_name = map[int32]string{
		0: "MULTI_TRIAL_ALGORITHM_UNSPECIFIED",
		1: "REINFORCEMENT_LEARNING",
		2: "GRID_SEARCH",
	}
	NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_value = map[string]int32{
		"MULTI_TRIAL_ALGORITHM_UNSPECIFIED": 0,
		"REINFORCEMENT_LEARNING":            1,
		"GRID_SEARCH":                       2,
	}
)

Enum value maps for NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm. 

var (
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_name = map[int32]string{
		0: "GOAL_TYPE_UNSPECIFIED",
		1: "MAXIMIZE",
		2: "MINIMIZE",
	}
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_value = map[string]int32{
		"GOAL_TYPE_UNSPECIFIED": 0,
		"MAXIMIZE":              1,
		"MINIMIZE":              2,
	}
)

Enum value maps for NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType. 

var (
	NasTrial_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "REQUESTED",
		2: "ACTIVE",
		3: "STOPPING",
		4: "SUCCEEDED",
		5: "INFEASIBLE",
	}
	NasTrial_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"REQUESTED":         1,
		"ACTIVE":            2,
		"STOPPING":          3,
		"SUCCEEDED":         4,
		"INFEASIBLE":        5,
	}
)

Enum value maps for NasTrial_State. 

var (
	NotebookRuntimeType_name = map[int32]string{
		0: "NOTEBOOK_RUNTIME_TYPE_UNSPECIFIED",
		1: "USER_DEFINED",
		2: "ONE_CLICK",
	}
	NotebookRuntimeType_value = map[string]int32{
		"NOTEBOOK_RUNTIME_TYPE_UNSPECIFIED": 0,
		"USER_DEFINED":                      1,
		"ONE_CLICK":                         2,
	}
)

Enum value maps for NotebookRuntimeType. 

var (
	NotebookRuntime_HealthState_name = map[int32]string{
		0: "HEALTH_STATE_UNSPECIFIED",
		1: "HEALTHY",
		2: "UNHEALTHY",
	}
	NotebookRuntime_HealthState_value = map[string]int32{
		"HEALTH_STATE_UNSPECIFIED": 0,
		"HEALTHY":                  1,
		"UNHEALTHY":                2,
	}
)

Enum value maps for NotebookRuntime_HealthState. 

var (
	NotebookRuntime_RuntimeState_name = map[int32]string{
		0:   "RUNTIME_STATE_UNSPECIFIED",
		1:   "RUNNING",
		2:   "BEING_STARTED",
		3:   "BEING_STOPPED",
		4:   "STOPPED",
		5:   "BEING_UPGRADED",
		100: "ERROR",
		101: "INVALID",
	}
	NotebookRuntime_RuntimeState_value = map[string]int32{
		"RUNTIME_STATE_UNSPECIFIED": 0,
		"RUNNING":                   1,
		"BEING_STARTED":             2,
		"BEING_STOPPED":             3,
		"STOPPED":                   4,
		"BEING_UPGRADED":            5,
		"ERROR":                     100,
		"INVALID":                   101,
	}
)

Enum value maps for NotebookRuntime_RuntimeState. 

var (
	NotebookExecutionJobView_name = map[int32]string{
		0: "NOTEBOOK_EXECUTION_JOB_VIEW_UNSPECIFIED",
		1: "NOTEBOOK_EXECUTION_JOB_VIEW_BASIC",
		2: "NOTEBOOK_EXECUTION_JOB_VIEW_FULL",
	}
	NotebookExecutionJobView_value = map[string]int32{
		"NOTEBOOK_EXECUTION_JOB_VIEW_UNSPECIFIED": 0,
		"NOTEBOOK_EXECUTION_JOB_VIEW_BASIC":       1,
		"NOTEBOOK_EXECUTION_JOB_VIEW_FULL":        2,
	}
)

Enum value maps for NotebookExecutionJobView. 

var (
	PostStartupScriptConfig_PostStartupScriptBehavior_name = map[int32]string{
		0: "POST_STARTUP_SCRIPT_BEHAVIOR_UNSPECIFIED",
		1: "RUN_ONCE",
		2: "RUN_EVERY_START",
		3: "DOWNLOAD_AND_RUN_EVERY_START",
	}
	PostStartupScriptConfig_PostStartupScriptBehavior_value = map[string]int32{
		"POST_STARTUP_SCRIPT_BEHAVIOR_UNSPECIFIED": 0,
		"RUN_ONCE":                     1,
		"RUN_EVERY_START":              2,
		"DOWNLOAD_AND_RUN_EVERY_START": 3,
	}
)

Enum value maps for PostStartupScriptConfig_PostStartupScriptBehavior. 

var (
	Type_name = map[int32]string{
		0: "TYPE_UNSPECIFIED",
		1: "STRING",
		2: "NUMBER",
		3: "INTEGER",
		4: "BOOLEAN",
		5: "ARRAY",
		6: "OBJECT",
	}
	Type_value = map[string]int32{
		"TYPE_UNSPECIFIED": 0,
		"STRING":           1,
		"NUMBER":           2,
		"INTEGER":          3,
		"BOOLEAN":          4,
		"ARRAY":            5,
		"OBJECT":           6,
	}
)

Enum value maps for Type. 

var (
	PersistentResource_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "PROVISIONING",
		3: "RUNNING",
		4: "STOPPING",
		5: "ERROR",
		6: "REBOOTING",
		7: "UPDATING",
	}
	PersistentResource_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"PROVISIONING":      1,
		"RUNNING":           3,
		"STOPPING":          4,
		"ERROR":             5,
		"REBOOTING":         6,
		"UPDATING":          7,
	}
)

Enum value maps for PersistentResource_State. 

var (
	PipelineFailurePolicy_name = map[int32]string{
		0: "PIPELINE_FAILURE_POLICY_UNSPECIFIED",
		1: "PIPELINE_FAILURE_POLICY_FAIL_SLOW",
		2: "PIPELINE_FAILURE_POLICY_FAIL_FAST",
	}
	PipelineFailurePolicy_value = map[string]int32{
		"PIPELINE_FAILURE_POLICY_UNSPECIFIED": 0,
		"PIPELINE_FAILURE_POLICY_FAIL_SLOW":   1,
		"PIPELINE_FAILURE_POLICY_FAIL_FAST":   2,
	}
)

Enum value maps for PipelineFailurePolicy. 

var (
	PipelineTaskDetail_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "PENDING",
		2: "RUNNING",
		3: "SUCCEEDED",
		4: "CANCEL_PENDING",
		5: "CANCELLING",
		6: "CANCELLED",
		7: "FAILED",
		8: "SKIPPED",
		9: "NOT_TRIGGERED",
	}
	PipelineTaskDetail_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"PENDING":           1,
		"RUNNING":           2,
		"SUCCEEDED":         3,
		"CANCEL_PENDING":    4,
		"CANCELLING":        5,
		"CANCELLED":         6,
		"FAILED":            7,
		"SKIPPED":           8,
		"NOT_TRIGGERED":     9,
	}
)

Enum value maps for PipelineTaskDetail_State. 

var (
	PipelineState_name = map[int32]string{
		0: "PIPELINE_STATE_UNSPECIFIED",
		1: "PIPELINE_STATE_QUEUED",
		2: "PIPELINE_STATE_PENDING",
		3: "PIPELINE_STATE_RUNNING",
		4: "PIPELINE_STATE_SUCCEEDED",
		5: "PIPELINE_STATE_FAILED",
		6: "PIPELINE_STATE_CANCELLING",
		7: "PIPELINE_STATE_CANCELLED",
		8: "PIPELINE_STATE_PAUSED",
	}
	PipelineState_value = map[string]int32{
		"PIPELINE_STATE_UNSPECIFIED": 0,
		"PIPELINE_STATE_QUEUED":      1,
		"PIPELINE_STATE_PENDING":     2,
		"PIPELINE_STATE_RUNNING":     3,
		"PIPELINE_STATE_SUCCEEDED":   4,
		"PIPELINE_STATE_FAILED":      5,
		"PIPELINE_STATE_CANCELLING":  6,
		"PIPELINE_STATE_CANCELLED":   7,
		"PIPELINE_STATE_PAUSED":      8,
	}
)

Enum value maps for PipelineState. 

var (
	GenerateContentResponse_PromptFeedback_BlockedReason_name = map[int32]string{
		0: "BLOCKED_REASON_UNSPECIFIED",
		1: "SAFETY",
		2: "OTHER",
		3: "BLOCKLIST",
		4: "PROHIBITED_CONTENT",
	}
	GenerateContentResponse_PromptFeedback_BlockedReason_value = map[string]int32{
		"BLOCKED_REASON_UNSPECIFIED": 0,
		"SAFETY":                     1,
		"OTHER":                      2,
		"BLOCKLIST":                  3,
		"PROHIBITED_CONTENT":         4,
	}
)

Enum value maps for GenerateContentResponse_PromptFeedback_BlockedReason. 

var (
	PublisherModel_OpenSourceCategory_name = map[int32]string{
		0: "OPEN_SOURCE_CATEGORY_UNSPECIFIED",
		1: "PROPRIETARY",
		2: "GOOGLE_OWNED_OSS_WITH_GOOGLE_CHECKPOINT",
		3: "THIRD_PARTY_OWNED_OSS_WITH_GOOGLE_CHECKPOINT",
		4: "GOOGLE_OWNED_OSS",
		5: "THIRD_PARTY_OWNED_OSS",
	}
	PublisherModel_OpenSourceCategory_value = map[string]int32{
		"OPEN_SOURCE_CATEGORY_UNSPECIFIED":             0,
		"PROPRIETARY":                                  1,
		"GOOGLE_OWNED_OSS_WITH_GOOGLE_CHECKPOINT":      2,
		"THIRD_PARTY_OWNED_OSS_WITH_GOOGLE_CHECKPOINT": 3,
		"GOOGLE_OWNED_OSS":                             4,
		"THIRD_PARTY_OWNED_OSS":                        5,
	}
)

Enum value maps for PublisherModel_OpenSourceCategory. 

var (
	PublisherModel_LaunchStage_name = map[int32]string{
		0: "LAUNCH_STAGE_UNSPECIFIED",
		1: "EXPERIMENTAL",
		2: "PRIVATE_PREVIEW",
		3: "PUBLIC_PREVIEW",
		4: "GA",
	}
	PublisherModel_LaunchStage_value = map[string]int32{
		"LAUNCH_STAGE_UNSPECIFIED": 0,
		"EXPERIMENTAL":             1,
		"PRIVATE_PREVIEW":          2,
		"PUBLIC_PREVIEW":           3,
		"GA":                       4,
	}
)

Enum value maps for PublisherModel_LaunchStage. 

var (
	PublisherModel_VersionState_name = map[int32]string{
		0: "VERSION_STATE_UNSPECIFIED",
		1: "VERSION_STATE_STABLE",
		2: "VERSION_STATE_UNSTABLE",
	}
	PublisherModel_VersionState_value = map[string]int32{
		"VERSION_STATE_UNSPECIFIED": 0,
		"VERSION_STATE_STABLE":      1,
		"VERSION_STATE_UNSTABLE":    2,
	}
)

Enum value maps for PublisherModel_VersionState. 

var (
	ReservationAffinity_Type_name = map[int32]string{
		0: "TYPE_UNSPECIFIED",
		1: "NO_RESERVATION",
		2: "ANY_RESERVATION",
		3: "SPECIFIC_RESERVATION",
	}
	ReservationAffinity_Type_value = map[string]int32{
		"TYPE_UNSPECIFIED":     0,
		"NO_RESERVATION":       1,
		"ANY_RESERVATION":      2,
		"SPECIFIC_RESERVATION": 3,
	}
)

Enum value maps for ReservationAffinity_Type. 

var (
	Schedule_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "ACTIVE",
		2: "PAUSED",
		3: "COMPLETED",
	}
	Schedule_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"ACTIVE":            1,
		"PAUSED":            2,
		"COMPLETED":         3,
	}
)

Enum value maps for Schedule_State. 

var (
	Study_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "ACTIVE",
		2: "INACTIVE",
		3: "COMPLETED",
	}
	Study_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"ACTIVE":            1,
		"INACTIVE":          2,
		"COMPLETED":         3,
	}
)

Enum value maps for Study_State. 

var (
	Trial_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "REQUESTED",
		2: "ACTIVE",
		3: "STOPPING",
		4: "SUCCEEDED",
		5: "INFEASIBLE",
	}
	Trial_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"REQUESTED":         1,
		"ACTIVE":            2,
		"STOPPING":          3,
		"SUCCEEDED":         4,
		"INFEASIBLE":        5,
	}
)

Enum value maps for Trial_State. 

var (
	StudySpec_Algorithm_name = map[int32]string{
		0: "ALGORITHM_UNSPECIFIED",
		2: "GRID_SEARCH",
		3: "RANDOM_SEARCH",
	}
	StudySpec_Algorithm_value = map[string]int32{
		"ALGORITHM_UNSPECIFIED": 0,
		"GRID_SEARCH":           2,
		"RANDOM_SEARCH":         3,
	}
)

Enum value maps for StudySpec_Algorithm. 

var (
	StudySpec_ObservationNoise_name = map[int32]string{
		0: "OBSERVATION_NOISE_UNSPECIFIED",
		1: "LOW",
		2: "HIGH",
	}
	StudySpec_ObservationNoise_value = map[string]int32{
		"OBSERVATION_NOISE_UNSPECIFIED": 0,
		"LOW":                           1,
		"HIGH":                          2,
	}
)

Enum value maps for StudySpec_ObservationNoise. 

var (
	StudySpec_MeasurementSelectionType_name = map[int32]string{
		0: "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED",
		1: "LAST_MEASUREMENT",
		2: "BEST_MEASUREMENT",
	}
	StudySpec_MeasurementSelectionType_value = map[string]int32{
		"MEASUREMENT_SELECTION_TYPE_UNSPECIFIED": 0,
		"LAST_MEASUREMENT":                       1,
		"BEST_MEASUREMENT":                       2,
	}
)

Enum value maps for StudySpec_MeasurementSelectionType. 

var (
	StudySpec_MetricSpec_GoalType_name = map[int32]string{
		0: "GOAL_TYPE_UNSPECIFIED",
		1: "MAXIMIZE",
		2: "MINIMIZE",
	}
	StudySpec_MetricSpec_GoalType_value = map[string]int32{
		"GOAL_TYPE_UNSPECIFIED": 0,
		"MAXIMIZE":              1,
		"MINIMIZE":              2,
	}
)

Enum value maps for StudySpec_MetricSpec_GoalType. 

var (
	StudySpec_ParameterSpec_ScaleType_name = map[int32]string{
		0: "SCALE_TYPE_UNSPECIFIED",
		1: "UNIT_LINEAR_SCALE",
		2: "UNIT_LOG_SCALE",
		3: "UNIT_REVERSE_LOG_SCALE",
	}
	StudySpec_ParameterSpec_ScaleType_value = map[string]int32{
		"SCALE_TYPE_UNSPECIFIED": 0,
		"UNIT_LINEAR_SCALE":      1,
		"UNIT_LOG_SCALE":         2,
		"UNIT_REVERSE_LOG_SCALE": 3,
	}
)

Enum value maps for StudySpec_ParameterSpec_ScaleType. 

var (
	TensorboardTimeSeries_ValueType_name = map[int32]string{
		0: "VALUE_TYPE_UNSPECIFIED",
		1: "SCALAR",
		2: "TENSOR",
		3: "BLOB_SEQUENCE",
	}
	TensorboardTimeSeries_ValueType_value = map[string]int32{
		"VALUE_TYPE_UNSPECIFIED": 0,
		"SCALAR":                 1,
		"TENSOR":                 2,
		"BLOB_SEQUENCE":          3,
	}
)

Enum value maps for TensorboardTimeSeries_ValueType. 

var (
	ExecutableCode_Language_name = map[int32]string{
		0: "LANGUAGE_UNSPECIFIED",
		1: "PYTHON",
	}
	ExecutableCode_Language_value = map[string]int32{
		"LANGUAGE_UNSPECIFIED": 0,
		"PYTHON":               1,
	}
)

Enum value maps for ExecutableCode_Language. 

var (
	CodeExecutionResult_Outcome_name = map[int32]string{
		0: "OUTCOME_UNSPECIFIED",
		1: "OUTCOME_OK",
		2: "OUTCOME_FAILED",
		3: "OUTCOME_DEADLINE_EXCEEDED",
	}
	CodeExecutionResult_Outcome_value = map[string]int32{
		"OUTCOME_UNSPECIFIED":       0,
		"OUTCOME_OK":                1,
		"OUTCOME_FAILED":            2,
		"OUTCOME_DEADLINE_EXCEEDED": 3,
	}
)

Enum value maps for CodeExecutionResult_Outcome. 

var (
	DynamicRetrievalConfig_Mode_name = map[int32]string{
		0: "MODE_UNSPECIFIED",
		1: "MODE_DYNAMIC",
	}
	DynamicRetrievalConfig_Mode_value = map[string]int32{
		"MODE_UNSPECIFIED": 0,
		"MODE_DYNAMIC":     1,
	}
)

Enum value maps for DynamicRetrievalConfig_Mode. 

var (
	FunctionCallingConfig_Mode_name = map[int32]string{
		0: "MODE_UNSPECIFIED",
		1: "AUTO",
		2: "ANY",
		3: "NONE",
	}
	FunctionCallingConfig_Mode_value = map[string]int32{
		"MODE_UNSPECIFIED": 0,
		"AUTO":             1,
		"ANY":              2,
		"NONE":             3,
	}
)

Enum value maps for FunctionCallingConfig_Mode. 

var (
	SupervisedHyperParameters_AdapterSize_name = map[int32]string{
		0: "ADAPTER_SIZE_UNSPECIFIED",
		1: "ADAPTER_SIZE_ONE",
		2: "ADAPTER_SIZE_FOUR",
		3: "ADAPTER_SIZE_EIGHT",
		4: "ADAPTER_SIZE_SIXTEEN",
	}
	SupervisedHyperParameters_AdapterSize_value = map[string]int32{
		"ADAPTER_SIZE_UNSPECIFIED": 0,
		"ADAPTER_SIZE_ONE":         1,
		"ADAPTER_SIZE_FOUR":        2,
		"ADAPTER_SIZE_EIGHT":       3,
		"ADAPTER_SIZE_SIXTEEN":     4,
	}
)

Enum value maps for SupervisedHyperParameters_AdapterSize. 

var (
	Tensor_DataType_name = map[int32]string{
		0:  "DATA_TYPE_UNSPECIFIED",
		1:  "BOOL",
		2:  "STRING",
		3:  "FLOAT",
		4:  "DOUBLE",
		5:  "INT8",
		6:  "INT16",
		7:  "INT32",
		8:  "INT64",
		9:  "UINT8",
		10: "UINT16",
		11: "UINT32",
		12: "UINT64",
	}
	Tensor_DataType_value = map[string]int32{
		"DATA_TYPE_UNSPECIFIED": 0,
		"BOOL":                  1,
		"STRING":                2,
		"FLOAT":                 3,
		"DOUBLE":                4,
		"INT8":                  5,
		"INT16":                 6,
		"INT32":                 7,
		"INT64":                 8,
		"UINT8":                 9,
		"UINT16":                10,
		"UINT32":                11,
		"UINT64":                12,
	}
)

Enum value maps for Tensor_DataType. 

var (
	FileStatus_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "ACTIVE",
		2: "ERROR",
	}
	FileStatus_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"ACTIVE":            1,
		"ERROR":             2,
	}
)

Enum value maps for FileStatus_State. 

var (
	CorpusStatus_State_name = map[int32]string{
		0: "UNKNOWN",
		1: "INITIALIZED",
		2: "ACTIVE",
		3: "ERROR",
	}
	CorpusStatus_State_value = map[string]int32{
		"UNKNOWN":     0,
		"INITIALIZED": 1,
		"ACTIVE":      2,
		"ERROR":       3,
	}
)

Enum value maps for CorpusStatus_State. 

var File_google_cloud_aiplatform_v1_accelerator_type_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_annotation_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_annotation_spec_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_api_auth_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_artifact_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_batch_prediction_job_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_cached_content_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_completion_stats_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_content_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_context_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_custom_job_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_data_item_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_data_labeling_job_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_dataset_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_dataset_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_dataset_version_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_deployed_index_ref_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_deployed_model_ref_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_deployment_resource_pool_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_deployment_resource_pool_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_encryption_spec_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_endpoint_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_endpoint_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_entity_type_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_env_var_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_evaluated_annotation_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1_event_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_execution_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_explanation_metadata_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_explanation_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_group_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_monitoring_stats_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_online_store_admin_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_online_store_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_online_store_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_registry_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_selector_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_view_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_feature_view_sync_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_featurestore_monitoring_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_featurestore_online_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_featurestore_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_featurestore_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_gen_ai_cache_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_genai_tuning_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_hyperparameter_tuning_job_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_index_endpoint_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_index_endpoint_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_index_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_index_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_io_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_job_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_job_state_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_lineage_subgraph_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_llm_utility_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_machine_resources_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_manual_batch_tuning_parameters_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_match_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_metadata_schema_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_metadata_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1_migratable_resource_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1_model_deployment_monitoring_job_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_model_evaluation_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_model_evaluation_slice_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_model_garden_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_model_monitoring_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_model_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_model_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_nas_job_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_network_spec_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_notebook_euc_config_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_notebook_execution_job_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_notebook_idle_shutdown_config_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_notebook_runtime_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_notebook_runtime_template_ref_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_notebook_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_notebook_software_config_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_openapi_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_operation_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_persistent_resource_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_persistent_resource_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_pipeline_failure_policy_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_pipeline_job_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_pipeline_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_pipeline_state_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_prediction_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_publisher_model_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_reasoning_engine_execution_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_reasoning_engine_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_reasoning_engine_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_reservation_affinity_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_saved_query_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_schedule_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_schedule_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_service_networking_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_specialist_pool_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_specialist_pool_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_study_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_tensorboard_data_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_tensorboard_experiment_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_tensorboard_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_tensorboard_run_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_tensorboard_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_tensorboard_time_series_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_tool_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_training_pipeline_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_tuning_job_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_types_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_unmanaged_container_model_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_user_action_reference_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_value_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_vertex_rag_data_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_vertex_rag_data_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_vertex_rag_service_proto protoreflect.FileDescriptor
var File_google_cloud_aiplatform_v1_vizier_service_proto protoreflect.FileDescriptor

Functions

func RegisterDatasetServiceServer 

func RegisterDatasetServiceServer(s *grpc.Server, srv DatasetServiceServer)

func RegisterDeploymentResourcePoolServiceServer 

func RegisterDeploymentResourcePoolServiceServer(s *grpc.Server, srv DeploymentResourcePoolServiceServer)

func RegisterEndpointServiceServer 

func RegisterEndpointServiceServer(s *grpc.Server, srv EndpointServiceServer)

func RegisterEvaluationServiceServer 

func RegisterEvaluationServiceServer(s *grpc.Server, srv EvaluationServiceServer)

func RegisterFeatureOnlineStoreAdminServiceServer 

func RegisterFeatureOnlineStoreAdminServiceServer(s *grpc.Server, srv FeatureOnlineStoreAdminServiceServer)

func RegisterFeatureOnlineStoreServiceServer 

func RegisterFeatureOnlineStoreServiceServer(s *grpc.Server, srv FeatureOnlineStoreServiceServer)

func RegisterFeatureRegistryServiceServer 

func RegisterFeatureRegistryServiceServer(s *grpc.Server, srv FeatureRegistryServiceServer)

func RegisterFeaturestoreOnlineServingServiceServer 

func RegisterFeaturestoreOnlineServingServiceServer(s *grpc.Server, srv FeaturestoreOnlineServingServiceServer)

func RegisterFeaturestoreServiceServer 

func RegisterFeaturestoreServiceServer(s *grpc.Server, srv FeaturestoreServiceServer)

func RegisterGenAiCacheServiceServer 

func RegisterGenAiCacheServiceServer(s *grpc.Server, srv GenAiCacheServiceServer)

func RegisterGenAiTuningServiceServer 

func RegisterGenAiTuningServiceServer(s *grpc.Server, srv GenAiTuningServiceServer)

func RegisterIndexEndpointServiceServer 

func RegisterIndexEndpointServiceServer(s *grpc.Server, srv IndexEndpointServiceServer)

func RegisterIndexServiceServer 

func RegisterIndexServiceServer(s *grpc.Server, srv IndexServiceServer)

func RegisterJobServiceServer 

func RegisterJobServiceServer(s *grpc.Server, srv JobServiceServer)

func RegisterLlmUtilityServiceServer 

func RegisterLlmUtilityServiceServer(s *grpc.Server, srv LlmUtilityServiceServer)

func RegisterMatchServiceServer 

func RegisterMatchServiceServer(s *grpc.Server, srv MatchServiceServer)

func RegisterMetadataServiceServer 

func RegisterMetadataServiceServer(s *grpc.Server, srv MetadataServiceServer)

func RegisterMigrationServiceServer 

func RegisterMigrationServiceServer(s *grpc.Server, srv MigrationServiceServer)

func RegisterModelGardenServiceServer 

func RegisterModelGardenServiceServer(s *grpc.Server, srv ModelGardenServiceServer)

func RegisterModelServiceServer 

func RegisterModelServiceServer(s *grpc.Server, srv ModelServiceServer)

func RegisterNotebookServiceServer 

func RegisterNotebookServiceServer(s *grpc.Server, srv NotebookServiceServer)

func RegisterPersistentResourceServiceServer 

func RegisterPersistentResourceServiceServer(s *grpc.Server, srv PersistentResourceServiceServer)

func RegisterPipelineServiceServer 

func RegisterPipelineServiceServer(s *grpc.Server, srv PipelineServiceServer)

func RegisterPredictionServiceServer 

func RegisterPredictionServiceServer(s *grpc.Server, srv PredictionServiceServer)

func RegisterReasoningEngineExecutionServiceServer 

func RegisterReasoningEngineExecutionServiceServer(s *grpc.Server, srv ReasoningEngineExecutionServiceServer)

func RegisterReasoningEngineServiceServer 

func RegisterReasoningEngineServiceServer(s *grpc.Server, srv ReasoningEngineServiceServer)

func RegisterScheduleServiceServer 

func RegisterScheduleServiceServer(s *grpc.Server, srv ScheduleServiceServer)

func RegisterSpecialistPoolServiceServer 

func RegisterSpecialistPoolServiceServer(s *grpc.Server, srv SpecialistPoolServiceServer)

func RegisterTensorboardServiceServer 

func RegisterTensorboardServiceServer(s *grpc.Server, srv TensorboardServiceServer)

func RegisterVertexRagDataServiceServer 

func RegisterVertexRagDataServiceServer(s *grpc.Server, srv VertexRagDataServiceServer)

func RegisterVertexRagServiceServer 

func RegisterVertexRagServiceServer(s *grpc.Server, srv VertexRagServiceServer)

func RegisterVizierServiceServer 

func RegisterVizierServiceServer(s *grpc.Server, srv VizierServiceServer)

Types

type AcceleratorType 

type AcceleratorType int32

Represents a hardware accelerator type. 

const (
	// Unspecified accelerator type, which means no accelerator.
	AcceleratorType_ACCELERATOR_TYPE_UNSPECIFIED AcceleratorType = 0
	// Deprecated: Nvidia Tesla K80 GPU has reached end of support,
	// see https://cloud.google.com/compute/docs/eol/k80-eol.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/accelerator_type.proto.
	AcceleratorType_NVIDIA_TESLA_K80 AcceleratorType = 1
	// Nvidia Tesla P100 GPU.
	AcceleratorType_NVIDIA_TESLA_P100 AcceleratorType = 2
	// Nvidia Tesla V100 GPU.
	AcceleratorType_NVIDIA_TESLA_V100 AcceleratorType = 3
	// Nvidia Tesla P4 GPU.
	AcceleratorType_NVIDIA_TESLA_P4 AcceleratorType = 4
	// Nvidia Tesla T4 GPU.
	AcceleratorType_NVIDIA_TESLA_T4 AcceleratorType = 5
	// Nvidia Tesla A100 GPU.
	AcceleratorType_NVIDIA_TESLA_A100 AcceleratorType = 8
	// Nvidia A100 80GB GPU.
	AcceleratorType_NVIDIA_A100_80GB AcceleratorType = 9
	// Nvidia L4 GPU.
	AcceleratorType_NVIDIA_L4 AcceleratorType = 11
	// Nvidia H100 80Gb GPU.
	AcceleratorType_NVIDIA_H100_80GB AcceleratorType = 13
	// Nvidia H100 Mega 80Gb GPU.
	AcceleratorType_NVIDIA_H100_MEGA_80GB AcceleratorType = 14
	// TPU v2.
	AcceleratorType_TPU_V2 AcceleratorType = 6
	// TPU v3.
	AcceleratorType_TPU_V3 AcceleratorType = 7
	// TPU v4.
	AcceleratorType_TPU_V4_POD AcceleratorType = 10
	// TPU v5.
	AcceleratorType_TPU_V5_LITEPOD AcceleratorType = 12
)

func (AcceleratorType) Descriptor 

func (AcceleratorType) Descriptor() protoreflect.EnumDescriptor

func (AcceleratorType) Enum 

func (x AcceleratorType) Enum() *AcceleratorType

func (AcceleratorType) EnumDescriptor 

func (AcceleratorType) EnumDescriptor() ([]byte, []int)

Deprecated: Use AcceleratorType.Descriptor instead.

func (AcceleratorType) Number 

func (x AcceleratorType) Number() protoreflect.EnumNumber

func (AcceleratorType) String 

func (x AcceleratorType) String() string

func (AcceleratorType) Type 

func (AcceleratorType) Type() protoreflect.EnumType

type ActiveLearningConfig 

type ActiveLearningConfig struct {

	// Required. Max human labeling DataItems. The rest part will be labeled by
	// machine.
	//
	// Types that are assignable to HumanLabelingBudget:
	//
	//	*ActiveLearningConfig_MaxDataItemCount
	//	*ActiveLearningConfig_MaxDataItemPercentage
	HumanLabelingBudget isActiveLearningConfig_HumanLabelingBudget `protobuf_oneof:"human_labeling_budget"`
	// Active learning data sampling config. For every active learning labeling
	// iteration, it will select a batch of data based on the sampling strategy.
	SampleConfig *SampleConfig `protobuf:"bytes,3,opt,name=sample_config,json=sampleConfig,proto3" json:"sample_config,omitempty"`
	// CMLE training config. For every active learning labeling iteration, system
	// will train a machine learning model on CMLE. The trained model will be used
	// by data sampling algorithm to select DataItems.
	TrainingConfig *TrainingConfig `protobuf:"bytes,4,opt,name=training_config,json=trainingConfig,proto3" json:"training_config,omitempty"`
	// contains filtered or unexported fields
}

Parameters that configure the active learning pipeline. Active learning will 

label the data incrementally by several iterations. For every iteration, it
will select a batch of data based on the sampling strategy.

func (*ActiveLearningConfig) Descriptor 

func (*ActiveLearningConfig) Descriptor() ([]byte, []int)

Deprecated: Use ActiveLearningConfig.ProtoReflect.Descriptor instead.

func (*ActiveLearningConfig) GetHumanLabelingBudget 

func (m *ActiveLearningConfig) GetHumanLabelingBudget() isActiveLearningConfig_HumanLabelingBudget

func (*ActiveLearningConfig) GetMaxDataItemCount 

func (x *ActiveLearningConfig) GetMaxDataItemCount() int64

func (*ActiveLearningConfig) GetMaxDataItemPercentage 

func (x *ActiveLearningConfig) GetMaxDataItemPercentage() int32

func (*ActiveLearningConfig) GetSampleConfig 

func (x *ActiveLearningConfig) GetSampleConfig() *SampleConfig

func (*ActiveLearningConfig) GetTrainingConfig 

func (x *ActiveLearningConfig) GetTrainingConfig() *TrainingConfig

func (*ActiveLearningConfig) ProtoMessage 

func (*ActiveLearningConfig) ProtoMessage()

func (*ActiveLearningConfig) ProtoReflect 

func (x *ActiveLearningConfig) ProtoReflect() protoreflect.Message

func (*ActiveLearningConfig) Reset 

func (x *ActiveLearningConfig) Reset()

func (*ActiveLearningConfig) String 

func (x *ActiveLearningConfig) String() string

type ActiveLearningConfig_MaxDataItemCount 

type ActiveLearningConfig_MaxDataItemCount struct {
	// Max number of human labeled DataItems.
	MaxDataItemCount int64 `protobuf:"varint,1,opt,name=max_data_item_count,json=maxDataItemCount,proto3,oneof"`
}

type ActiveLearningConfig_MaxDataItemPercentage 

type ActiveLearningConfig_MaxDataItemPercentage struct {
	// Max percent of total DataItems for human labeling.
	MaxDataItemPercentage int32 `protobuf:"varint,2,opt,name=max_data_item_percentage,json=maxDataItemPercentage,proto3,oneof"`
}

type AddContextArtifactsAndExecutionsRequest 

type AddContextArtifactsAndExecutionsRequest struct {

	// Required. The resource name of the Context that the Artifacts and
	// Executions belong to. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// The resource names of the Artifacts to attribute to the Context.
	//
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	Artifacts []string `protobuf:"bytes,2,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// The resource names of the Executions to associate with the
	// Context.
	//
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Executions []string `protobuf:"bytes,3,rep,name=executions,proto3" json:"executions,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].

func (*AddContextArtifactsAndExecutionsRequest) Descriptor 

func (*AddContextArtifactsAndExecutionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddContextArtifactsAndExecutionsRequest.ProtoReflect.Descriptor instead.

func (*AddContextArtifactsAndExecutionsRequest) GetArtifacts 

func (x *AddContextArtifactsAndExecutionsRequest) GetArtifacts() []string

func (*AddContextArtifactsAndExecutionsRequest) GetContext 

func (x *AddContextArtifactsAndExecutionsRequest) GetContext() string

func (*AddContextArtifactsAndExecutionsRequest) GetExecutions 

func (x *AddContextArtifactsAndExecutionsRequest) GetExecutions() []string

func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage 

func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage()

func (*AddContextArtifactsAndExecutionsRequest) ProtoReflect 

func (x *AddContextArtifactsAndExecutionsRequest) ProtoReflect() protoreflect.Message

func (*AddContextArtifactsAndExecutionsRequest) Reset 

func (x *AddContextArtifactsAndExecutionsRequest) Reset()

func (*AddContextArtifactsAndExecutionsRequest) String 

func (x *AddContextArtifactsAndExecutionsRequest) String() string

type AddContextArtifactsAndExecutionsResponse 

type AddContextArtifactsAndExecutionsResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].

func (*AddContextArtifactsAndExecutionsResponse) Descriptor 

func (*AddContextArtifactsAndExecutionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use AddContextArtifactsAndExecutionsResponse.ProtoReflect.Descriptor instead.

func (*AddContextArtifactsAndExecutionsResponse) ProtoMessage 

func (*AddContextArtifactsAndExecutionsResponse) ProtoMessage()

func (*AddContextArtifactsAndExecutionsResponse) ProtoReflect 

func (x *AddContextArtifactsAndExecutionsResponse) ProtoReflect() protoreflect.Message

func (*AddContextArtifactsAndExecutionsResponse) Reset 

func (x *AddContextArtifactsAndExecutionsResponse) Reset()

func (*AddContextArtifactsAndExecutionsResponse) String 

func (x *AddContextArtifactsAndExecutionsResponse) String() string

type AddContextChildrenRequest 

type AddContextChildrenRequest struct {

	// Required. The resource name of the parent Context.
	//
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// The resource names of the child Contexts.
	ChildContexts []string `protobuf:"bytes,2,rep,name=child_contexts,json=childContexts,proto3" json:"child_contexts,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].

func (*AddContextChildrenRequest) Descriptor 

func (*AddContextChildrenRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddContextChildrenRequest.ProtoReflect.Descriptor instead.

func (*AddContextChildrenRequest) GetChildContexts 

func (x *AddContextChildrenRequest) GetChildContexts() []string

func (*AddContextChildrenRequest) GetContext 

func (x *AddContextChildrenRequest) GetContext() string

func (*AddContextChildrenRequest) ProtoMessage 

func (*AddContextChildrenRequest) ProtoMessage()

func (*AddContextChildrenRequest) ProtoReflect 

func (x *AddContextChildrenRequest) ProtoReflect() protoreflect.Message

func (*AddContextChildrenRequest) Reset 

func (x *AddContextChildrenRequest) Reset()

func (*AddContextChildrenRequest) String 

func (x *AddContextChildrenRequest) String() string

type AddContextChildrenResponse 

type AddContextChildrenResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].

func (*AddContextChildrenResponse) Descriptor 

func (*AddContextChildrenResponse) Descriptor() ([]byte, []int)

Deprecated: Use AddContextChildrenResponse.ProtoReflect.Descriptor instead.

func (*AddContextChildrenResponse) ProtoMessage 

func (*AddContextChildrenResponse) ProtoMessage()

func (*AddContextChildrenResponse) ProtoReflect 

func (x *AddContextChildrenResponse) ProtoReflect() protoreflect.Message

func (*AddContextChildrenResponse) Reset 

func (x *AddContextChildrenResponse) Reset()

func (*AddContextChildrenResponse) String 

func (x *AddContextChildrenResponse) String() string

type AddExecutionEventsRequest 

type AddExecutionEventsRequest struct {

	// Required. The resource name of the Execution that the Events connect
	// Artifacts with.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Execution string `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
	// The Events to create and add.
	Events []*Event `protobuf:"bytes,2,rep,name=events,proto3" json:"events,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].

func (*AddExecutionEventsRequest) Descriptor 

func (*AddExecutionEventsRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddExecutionEventsRequest.ProtoReflect.Descriptor instead.

func (*AddExecutionEventsRequest) GetEvents 

func (x *AddExecutionEventsRequest) GetEvents() []*Event

func (*AddExecutionEventsRequest) GetExecution 

func (x *AddExecutionEventsRequest) GetExecution() string

func (*AddExecutionEventsRequest) ProtoMessage 

func (*AddExecutionEventsRequest) ProtoMessage()

func (*AddExecutionEventsRequest) ProtoReflect 

func (x *AddExecutionEventsRequest) ProtoReflect() protoreflect.Message

func (*AddExecutionEventsRequest) Reset 

func (x *AddExecutionEventsRequest) Reset()

func (*AddExecutionEventsRequest) String 

func (x *AddExecutionEventsRequest) String() string

type AddExecutionEventsResponse 

type AddExecutionEventsResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].

func (*AddExecutionEventsResponse) Descriptor 

func (*AddExecutionEventsResponse) Descriptor() ([]byte, []int)

Deprecated: Use AddExecutionEventsResponse.ProtoReflect.Descriptor instead.

func (*AddExecutionEventsResponse) ProtoMessage 

func (*AddExecutionEventsResponse) ProtoMessage()

func (*AddExecutionEventsResponse) ProtoReflect 

func (x *AddExecutionEventsResponse) ProtoReflect() protoreflect.Message

func (*AddExecutionEventsResponse) Reset 

func (x *AddExecutionEventsResponse) Reset()

func (*AddExecutionEventsResponse) String 

func (x *AddExecutionEventsResponse) String() string

type AddTrialMeasurementRequest 

type AddTrialMeasurementRequest struct {

	// Required. The name of the trial to add measurement.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"`
	// Required. The measurement to be added to a Trial.
	Measurement *Measurement `protobuf:"bytes,3,opt,name=measurement,proto3" json:"measurement,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].

func (*AddTrialMeasurementRequest) Descriptor 

func (*AddTrialMeasurementRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddTrialMeasurementRequest.ProtoReflect.Descriptor instead.

func (*AddTrialMeasurementRequest) GetMeasurement 

func (x *AddTrialMeasurementRequest) GetMeasurement() *Measurement

func (*AddTrialMeasurementRequest) GetTrialName 

func (x *AddTrialMeasurementRequest) GetTrialName() string

func (*AddTrialMeasurementRequest) ProtoMessage 

func (*AddTrialMeasurementRequest) ProtoMessage()

func (*AddTrialMeasurementRequest) ProtoReflect 

func (x *AddTrialMeasurementRequest) ProtoReflect() protoreflect.Message

func (*AddTrialMeasurementRequest) Reset 

func (x *AddTrialMeasurementRequest) Reset()

func (*AddTrialMeasurementRequest) String 

func (x *AddTrialMeasurementRequest) String() string

type Annotation 

type Annotation struct {

	// Output only. Resource name of the Annotation.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. Google Cloud Storage URI points to a YAML file describing
	// [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
	// defined as an [OpenAPI 3.0.2 Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// The schema files that can be used here are found in
	// gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
	// chosen schema must be consistent with the parent Dataset's
	// [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
	PayloadSchemaUri string `protobuf:"bytes,2,opt,name=payload_schema_uri,json=payloadSchemaUri,proto3" json:"payload_schema_uri,omitempty"`
	// Required. The schema of the payload can be found in
	// [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
	Payload *structpb.Value `protobuf:"bytes,3,opt,name=payload,proto3" json:"payload,omitempty"`
	// Output only. Timestamp when this Annotation was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Annotation was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
	// Output only. The source of the Annotation.
	AnnotationSource *UserActionReference `protobuf:"bytes,5,opt,name=annotation_source,json=annotationSource,proto3" json:"annotation_source,omitempty"`
	// Optional. The labels with user-defined metadata to organize your
	// Annotations.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Annotation(System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable. Following system labels exist for each Annotation:
	//
	//   - "aiplatform.googleapis.com/annotation_set_name":
	//     optional, name of the UI's annotation set this Annotation belongs to.
	//     If not set, the Annotation is not visible in the UI.
	//
	//   - "aiplatform.googleapis.com/payload_schema":
	//     output only, its value is the
	//     [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
	//     title.
	Labels map[string]string `protobuf:"bytes,6,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.

func (*Annotation) Descriptor 

func (*Annotation) Descriptor() ([]byte, []int)

Deprecated: Use Annotation.ProtoReflect.Descriptor instead.

func (*Annotation) GetAnnotationSource 

func (x *Annotation) GetAnnotationSource() *UserActionReference

func (*Annotation) GetCreateTime 

func (x *Annotation) GetCreateTime() *timestamppb.Timestamp

func (*Annotation) GetEtag 

func (x *Annotation) GetEtag() string

func (*Annotation) GetLabels 

func (x *Annotation) GetLabels() map[string]string

func (*Annotation) GetName 

func (x *Annotation) GetName() string

func (*Annotation) GetPayload 

func (x *Annotation) GetPayload() *structpb.Value

func (*Annotation) GetPayloadSchemaUri 

func (x *Annotation) GetPayloadSchemaUri() string

func (*Annotation) GetUpdateTime 

func (x *Annotation) GetUpdateTime() *timestamppb.Timestamp

func (*Annotation) ProtoMessage 

func (*Annotation) ProtoMessage()

func (*Annotation) ProtoReflect 

func (x *Annotation) ProtoReflect() protoreflect.Message

func (*Annotation) Reset 

func (x *Annotation) Reset()

func (*Annotation) String 

func (x *Annotation) String() string

type AnnotationSpec 

type AnnotationSpec struct {

	// Output only. Resource name of the AnnotationSpec.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the AnnotationSpec.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Timestamp when this AnnotationSpec was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when AnnotationSpec was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Identifies a concept with which DataItems may be annotated with.

func (*AnnotationSpec) Descriptor 

func (*AnnotationSpec) Descriptor() ([]byte, []int)

Deprecated: Use AnnotationSpec.ProtoReflect.Descriptor instead.

func (*AnnotationSpec) GetCreateTime 

func (x *AnnotationSpec) GetCreateTime() *timestamppb.Timestamp

func (*AnnotationSpec) GetDisplayName 

func (x *AnnotationSpec) GetDisplayName() string

func (*AnnotationSpec) GetEtag 

func (x *AnnotationSpec) GetEtag() string

func (*AnnotationSpec) GetName 

func (x *AnnotationSpec) GetName() string

func (*AnnotationSpec) GetUpdateTime 

func (x *AnnotationSpec) GetUpdateTime() *timestamppb.Timestamp

func (*AnnotationSpec) ProtoMessage 

func (*AnnotationSpec) ProtoMessage()

func (*AnnotationSpec) ProtoReflect 

func (x *AnnotationSpec) ProtoReflect() protoreflect.Message

func (*AnnotationSpec) Reset 

func (x *AnnotationSpec) Reset()

func (*AnnotationSpec) String 

func (x *AnnotationSpec) String() string

type ApiAuth 

type ApiAuth struct {

	// The auth config.
	//
	// Types that are assignable to AuthConfig:
	//
	//	*ApiAuth_ApiKeyConfig_
	AuthConfig isApiAuth_AuthConfig `protobuf_oneof:"auth_config"`
	// contains filtered or unexported fields
}

The generic reusable api auth config.

func (*ApiAuth) Descriptor 

func (*ApiAuth) Descriptor() ([]byte, []int)

Deprecated: Use ApiAuth.ProtoReflect.Descriptor instead.

func (*ApiAuth) GetApiKeyConfig 

func (x *ApiAuth) GetApiKeyConfig() *ApiAuth_ApiKeyConfig

func (*ApiAuth) GetAuthConfig 

func (m *ApiAuth) GetAuthConfig() isApiAuth_AuthConfig

func (*ApiAuth) ProtoMessage 

func (*ApiAuth) ProtoMessage()

func (*ApiAuth) ProtoReflect 

func (x *ApiAuth) ProtoReflect() protoreflect.Message

func (*ApiAuth) Reset 

func (x *ApiAuth) Reset()

func (*ApiAuth) String 

func (x *ApiAuth) String() string

type ApiAuth_ApiKeyConfig 

type ApiAuth_ApiKeyConfig struct {

	// Required. The SecretManager secret version resource name storing API key.
	// e.g. projects/{project}/secrets/{secret}/versions/{version}
	ApiKeySecretVersion string `protobuf:"bytes,1,opt,name=api_key_secret_version,json=apiKeySecretVersion,proto3" json:"api_key_secret_version,omitempty"`
	// contains filtered or unexported fields
}

The API secret.

func (*ApiAuth_ApiKeyConfig) Descriptor 

func (*ApiAuth_ApiKeyConfig) Descriptor() ([]byte, []int)

Deprecated: Use ApiAuth_ApiKeyConfig.ProtoReflect.Descriptor instead.

func (*ApiAuth_ApiKeyConfig) GetApiKeySecretVersion 

func (x *ApiAuth_ApiKeyConfig) GetApiKeySecretVersion() string

func (*ApiAuth_ApiKeyConfig) ProtoMessage 

func (*ApiAuth_ApiKeyConfig) ProtoMessage()

func (*ApiAuth_ApiKeyConfig) ProtoReflect 

func (x *ApiAuth_ApiKeyConfig) ProtoReflect() protoreflect.Message

func (*ApiAuth_ApiKeyConfig) Reset 

func (x *ApiAuth_ApiKeyConfig) Reset()

func (*ApiAuth_ApiKeyConfig) String 

func (x *ApiAuth_ApiKeyConfig) String() string

type ApiAuth_ApiKeyConfig_ 

type ApiAuth_ApiKeyConfig_ struct {
	// The API secret.
	ApiKeyConfig *ApiAuth_ApiKeyConfig `protobuf:"bytes,1,opt,name=api_key_config,json=apiKeyConfig,proto3,oneof"`
}

type Artifact 

type Artifact struct {

	// Output only. The resource name of the Artifact.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// User provided display name of the Artifact.
	// May be up to 128 Unicode characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The uniform resource identifier of the artifact file.
	// May be empty if there is no actual artifact file.
	Uri string `protobuf:"bytes,6,opt,name=uri,proto3" json:"uri,omitempty"`
	// An eTag used to perform consistent read-modify-write updates. If not set, a
	// blind "overwrite" update happens.
	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Artifacts.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Artifact (System
	// labels are excluded).
	Labels map[string]string `protobuf:"bytes,10,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Timestamp when this Artifact was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Artifact was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The state of this Artifact. This is a property of the Artifact, and does
	// not imply or capture any ongoing process. This property is managed by
	// clients (such as Vertex AI Pipelines), and the system does not prescribe
	// or check the validity of state transitions.
	State Artifact_State `protobuf:"varint,13,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Artifact_State" json:"state,omitempty"`
	// The title of the schema describing the metadata.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaTitle string `protobuf:"bytes,14,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`
	// The version of the schema in schema_name to use.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaVersion string `protobuf:"bytes,15,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
	// Properties of the Artifact.
	// Top level metadata keys' heading and trailing spaces will be trimmed.
	// The size of this field should not exceed 200KB.
	Metadata *structpb.Struct `protobuf:"bytes,16,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Description of the Artifact
	Description string `protobuf:"bytes,17,opt,name=description,proto3" json:"description,omitempty"`
	// contains filtered or unexported fields
}

Instance of a general artifact.

func (*Artifact) Descriptor 

func (*Artifact) Descriptor() ([]byte, []int)

Deprecated: Use Artifact.ProtoReflect.Descriptor instead.

func (*Artifact) GetCreateTime 

func (x *Artifact) GetCreateTime() *timestamppb.Timestamp

func (*Artifact) GetDescription 

func (x *Artifact) GetDescription() string

func (*Artifact) GetDisplayName 

func (x *Artifact) GetDisplayName() string

func (*Artifact) GetEtag 

func (x *Artifact) GetEtag() string

func (*Artifact) GetLabels 

func (x *Artifact) GetLabels() map[string]string

func (*Artifact) GetMetadata 

func (x *Artifact) GetMetadata() *structpb.Struct

func (*Artifact) GetName 

func (x *Artifact) GetName() string

func (*Artifact) GetSchemaTitle 

func (x *Artifact) GetSchemaTitle() string

func (*Artifact) GetSchemaVersion 

func (x *Artifact) GetSchemaVersion() string

func (*Artifact) GetState 

func (x *Artifact) GetState() Artifact_State

func (*Artifact) GetUpdateTime 

func (x *Artifact) GetUpdateTime() *timestamppb.Timestamp

func (*Artifact) GetUri 

func (x *Artifact) GetUri() string

func (*Artifact) ProtoMessage 

func (*Artifact) ProtoMessage()

func (*Artifact) ProtoReflect 

func (x *Artifact) ProtoReflect() protoreflect.Message

func (*Artifact) Reset 

func (x *Artifact) Reset()

func (*Artifact) String 

func (x *Artifact) String() string

type Artifact_State 

type Artifact_State int32

Describes the state of the Artifact. 

const (
	// Unspecified state for the Artifact.
	Artifact_STATE_UNSPECIFIED Artifact_State = 0
	// A state used by systems like Vertex AI Pipelines to indicate that the
	// underlying data item represented by this Artifact is being created.
	Artifact_PENDING Artifact_State = 1
	// A state indicating that the Artifact should exist, unless something
	// external to the system deletes it.
	Artifact_LIVE Artifact_State = 2
)

func (Artifact_State) Descriptor 

func (Artifact_State) Descriptor() protoreflect.EnumDescriptor

func (Artifact_State) Enum 

func (x Artifact_State) Enum() *Artifact_State

func (Artifact_State) EnumDescriptor 

func (Artifact_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Artifact_State.Descriptor instead.

func (Artifact_State) Number 

func (x Artifact_State) Number() protoreflect.EnumNumber

func (Artifact_State) String 

func (x Artifact_State) String() string

func (Artifact_State) Type 

func (Artifact_State) Type() protoreflect.EnumType

type AssignNotebookRuntimeOperationMetadata 

type AssignNotebookRuntimeOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// A human-readable message that shows the intermediate progress details of
	// NotebookRuntime.
	ProgressMessage string `protobuf:"bytes,2,opt,name=progress_message,json=progressMessage,proto3" json:"progress_message,omitempty"`
	// contains filtered or unexported fields
}

Metadata information for [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.AssignNotebookRuntime].

func (*AssignNotebookRuntimeOperationMetadata) Descriptor 

func (*AssignNotebookRuntimeOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use AssignNotebookRuntimeOperationMetadata.ProtoReflect.Descriptor instead.

func (*AssignNotebookRuntimeOperationMetadata) GetGenericMetadata 

func (x *AssignNotebookRuntimeOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*AssignNotebookRuntimeOperationMetadata) GetProgressMessage 

func (x *AssignNotebookRuntimeOperationMetadata) GetProgressMessage() string

func (*AssignNotebookRuntimeOperationMetadata) ProtoMessage 

func (*AssignNotebookRuntimeOperationMetadata) ProtoMessage()

func (*AssignNotebookRuntimeOperationMetadata) ProtoReflect 

func (x *AssignNotebookRuntimeOperationMetadata) ProtoReflect() protoreflect.Message

func (*AssignNotebookRuntimeOperationMetadata) Reset 

func (x *AssignNotebookRuntimeOperationMetadata) Reset()

func (*AssignNotebookRuntimeOperationMetadata) String 

func (x *AssignNotebookRuntimeOperationMetadata) String() string

type AssignNotebookRuntimeRequest 

type AssignNotebookRuntimeRequest struct {

	// Required. The resource name of the Location to get the NotebookRuntime
	// assignment. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The resource name of the NotebookRuntimeTemplate based on which a
	// NotebookRuntime will be assigned (reuse or create a new one).
	NotebookRuntimeTemplate string `protobuf:"bytes,2,opt,name=notebook_runtime_template,json=notebookRuntimeTemplate,proto3" json:"notebook_runtime_template,omitempty"`
	// Required. Provide runtime specific information (e.g. runtime owner,
	// notebook id) used for NotebookRuntime assignment.
	NotebookRuntime *NotebookRuntime `protobuf:"bytes,3,opt,name=notebook_runtime,json=notebookRuntime,proto3" json:"notebook_runtime,omitempty"`
	// Optional. User specified ID for the notebook runtime.
	NotebookRuntimeId string `protobuf:"bytes,4,opt,name=notebook_runtime_id,json=notebookRuntimeId,proto3" json:"notebook_runtime_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.AssignNotebookRuntime].

func (*AssignNotebookRuntimeRequest) Descriptor 

func (*AssignNotebookRuntimeRequest) Descriptor() ([]byte, []int)

Deprecated: Use AssignNotebookRuntimeRequest.ProtoReflect.Descriptor instead.

func (*AssignNotebookRuntimeRequest) GetNotebookRuntime 

func (x *AssignNotebookRuntimeRequest) GetNotebookRuntime() *NotebookRuntime

func (*AssignNotebookRuntimeRequest) GetNotebookRuntimeId 

func (x *AssignNotebookRuntimeRequest) GetNotebookRuntimeId() string

func (*AssignNotebookRuntimeRequest) GetNotebookRuntimeTemplate 

func (x *AssignNotebookRuntimeRequest) GetNotebookRuntimeTemplate() string

func (*AssignNotebookRuntimeRequest) GetParent 

func (x *AssignNotebookRuntimeRequest) GetParent() string

func (*AssignNotebookRuntimeRequest) ProtoMessage 

func (*AssignNotebookRuntimeRequest) ProtoMessage()

func (*AssignNotebookRuntimeRequest) ProtoReflect 

func (x *AssignNotebookRuntimeRequest) ProtoReflect() protoreflect.Message

func (*AssignNotebookRuntimeRequest) Reset 

func (x *AssignNotebookRuntimeRequest) Reset()

func (*AssignNotebookRuntimeRequest) String 

func (x *AssignNotebookRuntimeRequest) String() string

type Attribution 

type Attribution struct {

	// Output only. Model predicted output if the input instance is constructed
	// from the baselines of all the features defined in
	// [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
	// The field name of the output is determined by the key in
	// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
	//
	// If the Model's predicted output has multiple dimensions (rank > 1), this is
	// the value in the output located by
	// [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
	//
	// If there are multiple baselines, their output values are averaged.
	BaselineOutputValue float64 `protobuf:"fixed64,1,opt,name=baseline_output_value,json=baselineOutputValue,proto3" json:"baseline_output_value,omitempty"`
	// Output only. Model predicted output on the corresponding [explanation
	// instance][ExplainRequest.instances]. The field name of the output is
	// determined by the key in
	// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
	//
	// If the Model predicted output has multiple dimensions, this is the value in
	// the output located by
	// [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
	InstanceOutputValue float64 `protobuf:"fixed64,2,opt,name=instance_output_value,json=instanceOutputValue,proto3" json:"instance_output_value,omitempty"`
	// Output only. Attributions of each explained feature. Features are extracted
	// from the [prediction
	// instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
	// to [explanation metadata for
	// inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
	//
	// The value is a struct, whose keys are the name of the feature. The values
	// are how much the feature in the
	// [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
	// to the predicted result.
	//
	// The format of the value is determined by the feature's input format:
	//
	//   - If the feature is a scalar value, the attribution value is a
	//     [floating number][google.protobuf.Value.number_value].
	//
	//   - If the feature is an array of scalar values, the attribution value is
	//     an [array][google.protobuf.Value.list_value].
	//
	//   - If the feature is a struct, the attribution value is a
	//     [struct][google.protobuf.Value.struct_value]. The keys in the
	//     attribution value struct are the same as the keys in the feature
	//     struct. The formats of the values in the attribution struct are
	//     determined by the formats of the values in the feature struct.
	//
	// The
	// [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
	// field, pointed to by the
	// [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
	// [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
	// object, points to the schema file that describes the features and their
	// attribution values (if it is populated).
	FeatureAttributions *structpb.Value `protobuf:"bytes,3,opt,name=feature_attributions,json=featureAttributions,proto3" json:"feature_attributions,omitempty"`
	// Output only. The index that locates the explained prediction output.
	//
	// If the prediction output is a scalar value, output_index is not populated.
	// If the prediction output has multiple dimensions, the length of the
	// output_index list is the same as the number of dimensions of the output.
	// The i-th element in output_index is the element index of the i-th dimension
	// of the output vector. Indices start from 0.
	OutputIndex []int32 `protobuf:"varint,4,rep,packed,name=output_index,json=outputIndex,proto3" json:"output_index,omitempty"`
	// Output only. The display name of the output identified by
	// [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
	// example, the predicted class name by a multi-classification Model.
	//
	// This field is only populated iff the Model predicts display names as a
	// separate field along with the explained output. The predicted display name
	// must has the same shape of the explained output, and can be located using
	// output_index.
	OutputDisplayName string `protobuf:"bytes,5,opt,name=output_display_name,json=outputDisplayName,proto3" json:"output_display_name,omitempty"`
	// Output only. Error of
	// [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
	// caused by approximation used in the explanation method. Lower value means
	// more precise attributions.
	//
	// * For Sampled Shapley
	// [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
	// increasing
	// [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
	// might reduce the error.
	// * For Integrated Gradients
	// [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
	// increasing
	// [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
	// might reduce the error.
	// * For [XRAI
	// attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
	// increasing
	// [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
	// reduce the error.
	//
	// See [this introduction](/vertex-ai/docs/explainable-ai/overview)
	// for more information.
	ApproximationError float64 `protobuf:"fixed64,6,opt,name=approximation_error,json=approximationError,proto3" json:"approximation_error,omitempty"`
	// Output only. Name of the explain output. Specified as the key in
	// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
	OutputName string `protobuf:"bytes,7,opt,name=output_name,json=outputName,proto3" json:"output_name,omitempty"`
	// contains filtered or unexported fields
}

Attribution that explains a particular prediction output.

func (*Attribution) Descriptor 

func (*Attribution) Descriptor() ([]byte, []int)

Deprecated: Use Attribution.ProtoReflect.Descriptor instead.

func (*Attribution) GetApproximationError 

func (x *Attribution) GetApproximationError() float64

func (*Attribution) GetBaselineOutputValue 

func (x *Attribution) GetBaselineOutputValue() float64

func (*Attribution) GetFeatureAttributions 

func (x *Attribution) GetFeatureAttributions() *structpb.Value

func (*Attribution) GetInstanceOutputValue 

func (x *Attribution) GetInstanceOutputValue() float64

func (*Attribution) GetOutputDisplayName 

func (x *Attribution) GetOutputDisplayName() string

func (*Attribution) GetOutputIndex 

func (x *Attribution) GetOutputIndex() []int32

func (*Attribution) GetOutputName 

func (x *Attribution) GetOutputName() string

func (*Attribution) ProtoMessage 

func (*Attribution) ProtoMessage()

func (*Attribution) ProtoReflect 

func (x *Attribution) ProtoReflect() protoreflect.Message

func (*Attribution) Reset 

func (x *Attribution) Reset()

func (*Attribution) String 

func (x *Attribution) String() string

type AugmentPromptRequest 

type AugmentPromptRequest struct {

	// The data source for retrieving contexts.
	//
	// Types that are assignable to DataSource:
	//
	//	*AugmentPromptRequest_VertexRagStore
	DataSource isAugmentPromptRequest_DataSource `protobuf_oneof:"data_source"`
	// Required. The resource name of the Location from which to augment prompt.
	// The users must have permission to make a call in the project.
	// Format:
	// `projects/{project}/locations/{location}`.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. Input content to augment, only text format is supported for now.
	Contents []*Content `protobuf:"bytes,2,rep,name=contents,proto3" json:"contents,omitempty"`
	// Optional. Metadata of the backend deployed model.
	Model *AugmentPromptRequest_Model `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
	// contains filtered or unexported fields
}

Request message for AugmentPrompt.

func (*AugmentPromptRequest) Descriptor 

func (*AugmentPromptRequest) Descriptor() ([]byte, []int)

Deprecated: Use AugmentPromptRequest.ProtoReflect.Descriptor instead.

func (*AugmentPromptRequest) GetContents 

func (x *AugmentPromptRequest) GetContents() []*Content

func (*AugmentPromptRequest) GetDataSource 

func (m *AugmentPromptRequest) GetDataSource() isAugmentPromptRequest_DataSource

func (*AugmentPromptRequest) GetModel 

func (x *AugmentPromptRequest) GetModel() *AugmentPromptRequest_Model

func (*AugmentPromptRequest) GetParent 

func (x *AugmentPromptRequest) GetParent() string

func (*AugmentPromptRequest) GetVertexRagStore 

func (x *AugmentPromptRequest) GetVertexRagStore() *VertexRagStore

func (*AugmentPromptRequest) ProtoMessage 

func (*AugmentPromptRequest) ProtoMessage()

func (*AugmentPromptRequest) ProtoReflect 

func (x *AugmentPromptRequest) ProtoReflect() protoreflect.Message

func (*AugmentPromptRequest) Reset 

func (x *AugmentPromptRequest) Reset()

func (*AugmentPromptRequest) String 

func (x *AugmentPromptRequest) String() string

type AugmentPromptRequest_Model 

type AugmentPromptRequest_Model struct {

	// Optional. The model that the user will send the augmented prompt for
	// content generation.
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. The model version of the backend deployed model.
	ModelVersion string `protobuf:"bytes,2,opt,name=model_version,json=modelVersion,proto3" json:"model_version,omitempty"`
	// contains filtered or unexported fields
}

Metadata of the backend deployed model.

func (*AugmentPromptRequest_Model) Descriptor 

func (*AugmentPromptRequest_Model) Descriptor() ([]byte, []int)

Deprecated: Use AugmentPromptRequest_Model.ProtoReflect.Descriptor instead.

func (*AugmentPromptRequest_Model) GetModel 

func (x *AugmentPromptRequest_Model) GetModel() string

func (*AugmentPromptRequest_Model) GetModelVersion 

func (x *AugmentPromptRequest_Model) GetModelVersion() string

func (*AugmentPromptRequest_Model) ProtoMessage 

func (*AugmentPromptRequest_Model) ProtoMessage()

func (*AugmentPromptRequest_Model) ProtoReflect 

func (x *AugmentPromptRequest_Model) ProtoReflect() protoreflect.Message

func (*AugmentPromptRequest_Model) Reset 

func (x *AugmentPromptRequest_Model) Reset()

func (*AugmentPromptRequest_Model) String 

func (x *AugmentPromptRequest_Model) String() string

type AugmentPromptRequest_VertexRagStore 

type AugmentPromptRequest_VertexRagStore struct {
	// Optional. Retrieves contexts from the Vertex RagStore.
	VertexRagStore *VertexRagStore `protobuf:"bytes,4,opt,name=vertex_rag_store,json=vertexRagStore,proto3,oneof"`
}

type AugmentPromptResponse 

type AugmentPromptResponse struct {

	// Augmented prompt, only text format is supported for now.
	AugmentedPrompt []*Content `protobuf:"bytes,1,rep,name=augmented_prompt,json=augmentedPrompt,proto3" json:"augmented_prompt,omitempty"`
	// Retrieved facts from RAG data sources.
	Facts []*Fact `protobuf:"bytes,2,rep,name=facts,proto3" json:"facts,omitempty"`
	// contains filtered or unexported fields
}

Response message for AugmentPrompt.

func (*AugmentPromptResponse) Descriptor 

func (*AugmentPromptResponse) Descriptor() ([]byte, []int)

Deprecated: Use AugmentPromptResponse.ProtoReflect.Descriptor instead.

func (*AugmentPromptResponse) GetAugmentedPrompt 

func (x *AugmentPromptResponse) GetAugmentedPrompt() []*Content

func (*AugmentPromptResponse) GetFacts 

func (x *AugmentPromptResponse) GetFacts() []*Fact

func (*AugmentPromptResponse) ProtoMessage 

func (*AugmentPromptResponse) ProtoMessage()

func (*AugmentPromptResponse) ProtoReflect 

func (x *AugmentPromptResponse) ProtoReflect() protoreflect.Message

func (*AugmentPromptResponse) Reset 

func (x *AugmentPromptResponse) Reset()

func (*AugmentPromptResponse) String 

func (x *AugmentPromptResponse) String() string

type AutomaticResources 

type AutomaticResources struct {

	// Immutable. The minimum number of replicas this DeployedModel will be always
	// deployed on. If traffic against it increases, it may dynamically be
	// deployed onto more replicas up to
	// [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
	// and as traffic decreases, some of these extra replicas may be freed. If the
	// requested value is too large, the deployment will error.
	MinReplicaCount int32 `protobuf:"varint,1,opt,name=min_replica_count,json=minReplicaCount,proto3" json:"min_replica_count,omitempty"`
	// Immutable. The maximum number of replicas this DeployedModel may be
	// deployed on when the traffic against it increases. If the requested value
	// is too large, the deployment will error, but if deployment succeeds then
	// the ability to scale the model to that many replicas is guaranteed (barring
	// service outages). If traffic against the DeployedModel increases beyond
	// what its replicas at maximum may handle, a portion of the traffic will be
	// dropped. If this value is not provided, a no upper bound for scaling under
	// heavy traffic will be assume, though Vertex AI may be unable to scale
	// beyond certain replica number.
	MaxReplicaCount int32 `protobuf:"varint,2,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// contains filtered or unexported fields
}

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration. Each Model supporting these resources documents its specific guidelines.

func (*AutomaticResources) Descriptor 

func (*AutomaticResources) Descriptor() ([]byte, []int)

Deprecated: Use AutomaticResources.ProtoReflect.Descriptor instead.

func (*AutomaticResources) GetMaxReplicaCount 

func (x *AutomaticResources) GetMaxReplicaCount() int32

func (*AutomaticResources) GetMinReplicaCount 

func (x *AutomaticResources) GetMinReplicaCount() int32

func (*AutomaticResources) ProtoMessage 

func (*AutomaticResources) ProtoMessage()

func (*AutomaticResources) ProtoReflect 

func (x *AutomaticResources) ProtoReflect() protoreflect.Message

func (*AutomaticResources) Reset 

func (x *AutomaticResources) Reset()

func (*AutomaticResources) String 

func (x *AutomaticResources) String() string

type AutoscalingMetricSpec 

type AutoscalingMetricSpec struct {

	// Required. The resource metric name.
	// Supported metrics:
	//
	// * For Online Prediction:
	// * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle`
	// * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
	MetricName string `protobuf:"bytes,1,opt,name=metric_name,json=metricName,proto3" json:"metric_name,omitempty"`
	// The target resource utilization in percentage (1% - 100%) for the given
	// metric; once the real usage deviates from the target by a certain
	// percentage, the machine replicas change. The default value is 60
	// (representing 60%) if not provided.
	Target int32 `protobuf:"varint,2,opt,name=target,proto3" json:"target,omitempty"`
	// contains filtered or unexported fields
}

The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.

func (*AutoscalingMetricSpec) Descriptor 

func (*AutoscalingMetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use AutoscalingMetricSpec.ProtoReflect.Descriptor instead.

func (*AutoscalingMetricSpec) GetMetricName 

func (x *AutoscalingMetricSpec) GetMetricName() string

func (*AutoscalingMetricSpec) GetTarget 

func (x *AutoscalingMetricSpec) GetTarget() int32

func (*AutoscalingMetricSpec) ProtoMessage 

func (*AutoscalingMetricSpec) ProtoMessage()

func (*AutoscalingMetricSpec) ProtoReflect 

func (x *AutoscalingMetricSpec) ProtoReflect() protoreflect.Message

func (*AutoscalingMetricSpec) Reset 

func (x *AutoscalingMetricSpec) Reset()

func (*AutoscalingMetricSpec) String 

func (x *AutoscalingMetricSpec) String() string

type AvroSource 

type AvroSource struct {

	// Required. Google Cloud Storage location.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
	// contains filtered or unexported fields
}

The storage details for Avro input content.

func (*AvroSource) Descriptor 

func (*AvroSource) Descriptor() ([]byte, []int)

Deprecated: Use AvroSource.ProtoReflect.Descriptor instead.

func (*AvroSource) GetGcsSource 

func (x *AvroSource) GetGcsSource() *GcsSource

func (*AvroSource) ProtoMessage 

func (*AvroSource) ProtoMessage()

func (*AvroSource) ProtoReflect 

func (x *AvroSource) ProtoReflect() protoreflect.Message

func (*AvroSource) Reset 

func (x *AvroSource) Reset()

func (*AvroSource) String 

func (x *AvroSource) String() string

type BatchCancelPipelineJobsOperationMetadata 

type BatchCancelPipelineJobsOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs].

func (*BatchCancelPipelineJobsOperationMetadata) Descriptor 

func (*BatchCancelPipelineJobsOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchCancelPipelineJobsOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchCancelPipelineJobsOperationMetadata) GetGenericMetadata 

func (x *BatchCancelPipelineJobsOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchCancelPipelineJobsOperationMetadata) ProtoMessage 

func (*BatchCancelPipelineJobsOperationMetadata) ProtoMessage()

func (*BatchCancelPipelineJobsOperationMetadata) ProtoReflect 

func (x *BatchCancelPipelineJobsOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchCancelPipelineJobsOperationMetadata) Reset 

func (x *BatchCancelPipelineJobsOperationMetadata) Reset()

func (*BatchCancelPipelineJobsOperationMetadata) String 

func (x *BatchCancelPipelineJobsOperationMetadata) String() string

type BatchCancelPipelineJobsRequest 

type BatchCancelPipelineJobsRequest struct {

	// Required. The name of the PipelineJobs' parent resource.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The names of the PipelineJobs to cancel.
	// A maximum of 32 PipelineJobs can be cancelled in a batch.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`
	Names []string `protobuf:"bytes,2,rep,name=names,proto3" json:"names,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs].

func (*BatchCancelPipelineJobsRequest) Descriptor 

func (*BatchCancelPipelineJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchCancelPipelineJobsRequest.ProtoReflect.Descriptor instead.

func (*BatchCancelPipelineJobsRequest) GetNames 

func (x *BatchCancelPipelineJobsRequest) GetNames() []string

func (*BatchCancelPipelineJobsRequest) GetParent 

func (x *BatchCancelPipelineJobsRequest) GetParent() string

func (*BatchCancelPipelineJobsRequest) ProtoMessage 

func (*BatchCancelPipelineJobsRequest) ProtoMessage()

func (*BatchCancelPipelineJobsRequest) ProtoReflect 

func (x *BatchCancelPipelineJobsRequest) ProtoReflect() protoreflect.Message

func (*BatchCancelPipelineJobsRequest) Reset 

func (x *BatchCancelPipelineJobsRequest) Reset()

func (*BatchCancelPipelineJobsRequest) String 

func (x *BatchCancelPipelineJobsRequest) String() string

type BatchCancelPipelineJobsResponse 

type BatchCancelPipelineJobsResponse struct {

	// PipelineJobs cancelled.
	PipelineJobs []*PipelineJob `protobuf:"bytes,1,rep,name=pipeline_jobs,json=pipelineJobs,proto3" json:"pipeline_jobs,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs].

func (*BatchCancelPipelineJobsResponse) Descriptor 

func (*BatchCancelPipelineJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchCancelPipelineJobsResponse.ProtoReflect.Descriptor instead.

func (*BatchCancelPipelineJobsResponse) GetPipelineJobs 

func (x *BatchCancelPipelineJobsResponse) GetPipelineJobs() []*PipelineJob

func (*BatchCancelPipelineJobsResponse) ProtoMessage 

func (*BatchCancelPipelineJobsResponse) ProtoMessage()

func (*BatchCancelPipelineJobsResponse) ProtoReflect 

func (x *BatchCancelPipelineJobsResponse) ProtoReflect() protoreflect.Message

func (*BatchCancelPipelineJobsResponse) Reset 

func (x *BatchCancelPipelineJobsResponse) Reset()

func (*BatchCancelPipelineJobsResponse) String 

func (x *BatchCancelPipelineJobsResponse) String() string

type BatchCreateFeaturesOperationMetadata 

type BatchCreateFeaturesOperationMetadata struct {

	// Operation metadata for Feature.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform batch create Features.

func (*BatchCreateFeaturesOperationMetadata) Descriptor 

func (*BatchCreateFeaturesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateFeaturesOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchCreateFeaturesOperationMetadata) GetGenericMetadata 

func (x *BatchCreateFeaturesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchCreateFeaturesOperationMetadata) ProtoMessage 

func (*BatchCreateFeaturesOperationMetadata) ProtoMessage()

func (*BatchCreateFeaturesOperationMetadata) ProtoReflect 

func (x *BatchCreateFeaturesOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchCreateFeaturesOperationMetadata) Reset 

func (x *BatchCreateFeaturesOperationMetadata) Reset()

func (*BatchCreateFeaturesOperationMetadata) String 

func (x *BatchCreateFeaturesOperationMetadata) String() string

type BatchCreateFeaturesRequest 

type BatchCreateFeaturesRequest struct {

	// Required. The resource name of the EntityType/FeatureGroup to create the
	// batch of Features under. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	// `projects/{project}/locations/{location}/featureGroups/{feature_group}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request message specifying the Features to create. All
	// Features must be created under the same parent EntityType / FeatureGroup.
	// The `parent` field in each child request message can be omitted. If
	// `parent` is set in a child request, then the value must match the `parent`
	// value in this request message.
	Requests []*CreateFeatureRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. Request message for [FeatureRegistryService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.BatchCreateFeatures].

func (*BatchCreateFeaturesRequest) Descriptor 

func (*BatchCreateFeaturesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateFeaturesRequest.ProtoReflect.Descriptor instead.

func (*BatchCreateFeaturesRequest) GetParent 

func (x *BatchCreateFeaturesRequest) GetParent() string

func (*BatchCreateFeaturesRequest) GetRequests 

func (x *BatchCreateFeaturesRequest) GetRequests() []*CreateFeatureRequest

func (*BatchCreateFeaturesRequest) ProtoMessage 

func (*BatchCreateFeaturesRequest) ProtoMessage()

func (*BatchCreateFeaturesRequest) ProtoReflect 

func (x *BatchCreateFeaturesRequest) ProtoReflect() protoreflect.Message

func (*BatchCreateFeaturesRequest) Reset 

func (x *BatchCreateFeaturesRequest) Reset()

func (*BatchCreateFeaturesRequest) String 

func (x *BatchCreateFeaturesRequest) String() string

type BatchCreateFeaturesResponse 

type BatchCreateFeaturesResponse struct {

	// The Features created.
	Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].

func (*BatchCreateFeaturesResponse) Descriptor 

func (*BatchCreateFeaturesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateFeaturesResponse.ProtoReflect.Descriptor instead.

func (*BatchCreateFeaturesResponse) GetFeatures 

func (x *BatchCreateFeaturesResponse) GetFeatures() []*Feature

func (*BatchCreateFeaturesResponse) ProtoMessage 

func (*BatchCreateFeaturesResponse) ProtoMessage()

func (*BatchCreateFeaturesResponse) ProtoReflect 

func (x *BatchCreateFeaturesResponse) ProtoReflect() protoreflect.Message

func (*BatchCreateFeaturesResponse) Reset 

func (x *BatchCreateFeaturesResponse) Reset()

func (*BatchCreateFeaturesResponse) String 

func (x *BatchCreateFeaturesResponse) String() string

type BatchCreateTensorboardRunsRequest 

type BatchCreateTensorboardRunsRequest struct {

	// Required. The resource name of the TensorboardExperiment to create the
	// TensorboardRuns in. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	// The parent field in the CreateTensorboardRunRequest messages must match
	// this field.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request message specifying the TensorboardRuns to create.
	// A maximum of 1000 TensorboardRuns can be created in a batch.
	Requests []*CreateTensorboardRunRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].

func (*BatchCreateTensorboardRunsRequest) Descriptor 

func (*BatchCreateTensorboardRunsRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateTensorboardRunsRequest.ProtoReflect.Descriptor instead.

func (*BatchCreateTensorboardRunsRequest) GetParent 

func (x *BatchCreateTensorboardRunsRequest) GetParent() string

func (*BatchCreateTensorboardRunsRequest) GetRequests 

func (x *BatchCreateTensorboardRunsRequest) GetRequests() []*CreateTensorboardRunRequest

func (*BatchCreateTensorboardRunsRequest) ProtoMessage 

func (*BatchCreateTensorboardRunsRequest) ProtoMessage()

func (*BatchCreateTensorboardRunsRequest) ProtoReflect 

func (x *BatchCreateTensorboardRunsRequest) ProtoReflect() protoreflect.Message

func (*BatchCreateTensorboardRunsRequest) Reset 

func (x *BatchCreateTensorboardRunsRequest) Reset()

func (*BatchCreateTensorboardRunsRequest) String 

func (x *BatchCreateTensorboardRunsRequest) String() string

type BatchCreateTensorboardRunsResponse 

type BatchCreateTensorboardRunsResponse struct {

	// The created TensorboardRuns.
	TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].

func (*BatchCreateTensorboardRunsResponse) Descriptor 

func (*BatchCreateTensorboardRunsResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateTensorboardRunsResponse.ProtoReflect.Descriptor instead.

func (*BatchCreateTensorboardRunsResponse) GetTensorboardRuns 

func (x *BatchCreateTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun

func (*BatchCreateTensorboardRunsResponse) ProtoMessage 

func (*BatchCreateTensorboardRunsResponse) ProtoMessage()

func (*BatchCreateTensorboardRunsResponse) ProtoReflect 

func (x *BatchCreateTensorboardRunsResponse) ProtoReflect() protoreflect.Message

func (*BatchCreateTensorboardRunsResponse) Reset 

func (x *BatchCreateTensorboardRunsResponse) Reset()

func (*BatchCreateTensorboardRunsResponse) String 

func (x *BatchCreateTensorboardRunsResponse) String() string

type BatchCreateTensorboardTimeSeriesRequest 

type BatchCreateTensorboardTimeSeriesRequest struct {

	// Required. The resource name of the TensorboardExperiment to create the
	// TensorboardTimeSeries in.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	// The TensorboardRuns referenced by the parent fields in the
	// CreateTensorboardTimeSeriesRequest messages must be sub resources of this
	// TensorboardExperiment.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request message specifying the TensorboardTimeSeries to
	// create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
	Requests []*CreateTensorboardTimeSeriesRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].

func (*BatchCreateTensorboardTimeSeriesRequest) Descriptor 

func (*BatchCreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*BatchCreateTensorboardTimeSeriesRequest) GetParent 

func (x *BatchCreateTensorboardTimeSeriesRequest) GetParent() string

func (*BatchCreateTensorboardTimeSeriesRequest) GetRequests 

func (x *BatchCreateTensorboardTimeSeriesRequest) GetRequests() []*CreateTensorboardTimeSeriesRequest

func (*BatchCreateTensorboardTimeSeriesRequest) ProtoMessage 

func (*BatchCreateTensorboardTimeSeriesRequest) ProtoMessage()

func (*BatchCreateTensorboardTimeSeriesRequest) ProtoReflect 

func (x *BatchCreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*BatchCreateTensorboardTimeSeriesRequest) Reset 

func (x *BatchCreateTensorboardTimeSeriesRequest) Reset()

func (*BatchCreateTensorboardTimeSeriesRequest) String 

func (x *BatchCreateTensorboardTimeSeriesRequest) String() string

type BatchCreateTensorboardTimeSeriesResponse 

type BatchCreateTensorboardTimeSeriesResponse struct {

	// The created TensorboardTimeSeries.
	TensorboardTimeSeries []*TensorboardTimeSeries `protobuf:"bytes,1,rep,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].

func (*BatchCreateTensorboardTimeSeriesResponse) Descriptor 

func (*BatchCreateTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead.

func (*BatchCreateTensorboardTimeSeriesResponse) GetTensorboardTimeSeries 

func (x *BatchCreateTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries

func (*BatchCreateTensorboardTimeSeriesResponse) ProtoMessage 

func (*BatchCreateTensorboardTimeSeriesResponse) ProtoMessage()

func (*BatchCreateTensorboardTimeSeriesResponse) ProtoReflect 

func (x *BatchCreateTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message

func (*BatchCreateTensorboardTimeSeriesResponse) Reset 

func (x *BatchCreateTensorboardTimeSeriesResponse) Reset()

func (*BatchCreateTensorboardTimeSeriesResponse) String 

func (x *BatchCreateTensorboardTimeSeriesResponse) String() string

type BatchDedicatedResources 

type BatchDedicatedResources struct {

	// Required. Immutable. The specification of a single machine.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Immutable. The number of machine replicas used at the start of the batch
	// operation. If not set, Vertex AI decides starting number, not greater than
	// [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
	StartingReplicaCount int32 `protobuf:"varint,2,opt,name=starting_replica_count,json=startingReplicaCount,proto3" json:"starting_replica_count,omitempty"`
	// Immutable. The maximum number of machine replicas the batch operation may
	// be scaled to. The default value is 10.
	MaxReplicaCount int32 `protobuf:"varint,3,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// contains filtered or unexported fields
}

A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.

func (*BatchDedicatedResources) Descriptor 

func (*BatchDedicatedResources) Descriptor() ([]byte, []int)

Deprecated: Use BatchDedicatedResources.ProtoReflect.Descriptor instead.

func (*BatchDedicatedResources) GetMachineSpec 

func (x *BatchDedicatedResources) GetMachineSpec() *MachineSpec

func (*BatchDedicatedResources) GetMaxReplicaCount 

func (x *BatchDedicatedResources) GetMaxReplicaCount() int32

func (*BatchDedicatedResources) GetStartingReplicaCount 

func (x *BatchDedicatedResources) GetStartingReplicaCount() int32

func (*BatchDedicatedResources) ProtoMessage 

func (*BatchDedicatedResources) ProtoMessage()

func (*BatchDedicatedResources) ProtoReflect 

func (x *BatchDedicatedResources) ProtoReflect() protoreflect.Message

func (*BatchDedicatedResources) Reset 

func (x *BatchDedicatedResources) Reset()

func (*BatchDedicatedResources) String 

func (x *BatchDedicatedResources) String() string

type BatchDeletePipelineJobsRequest 

type BatchDeletePipelineJobsRequest struct {

	// Required. The name of the PipelineJobs' parent resource.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The names of the PipelineJobs to delete.
	// A maximum of 32 PipelineJobs can be deleted in a batch.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`
	Names []string `protobuf:"bytes,2,rep,name=names,proto3" json:"names,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs].

func (*BatchDeletePipelineJobsRequest) Descriptor 

func (*BatchDeletePipelineJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchDeletePipelineJobsRequest.ProtoReflect.Descriptor instead.

func (*BatchDeletePipelineJobsRequest) GetNames 

func (x *BatchDeletePipelineJobsRequest) GetNames() []string

func (*BatchDeletePipelineJobsRequest) GetParent 

func (x *BatchDeletePipelineJobsRequest) GetParent() string

func (*BatchDeletePipelineJobsRequest) ProtoMessage 

func (*BatchDeletePipelineJobsRequest) ProtoMessage()

func (*BatchDeletePipelineJobsRequest) ProtoReflect 

func (x *BatchDeletePipelineJobsRequest) ProtoReflect() protoreflect.Message

func (*BatchDeletePipelineJobsRequest) Reset 

func (x *BatchDeletePipelineJobsRequest) Reset()

func (*BatchDeletePipelineJobsRequest) String 

func (x *BatchDeletePipelineJobsRequest) String() string

type BatchDeletePipelineJobsResponse 

type BatchDeletePipelineJobsResponse struct {

	// PipelineJobs deleted.
	PipelineJobs []*PipelineJob `protobuf:"bytes,1,rep,name=pipeline_jobs,json=pipelineJobs,proto3" json:"pipeline_jobs,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs].

func (*BatchDeletePipelineJobsResponse) Descriptor 

func (*BatchDeletePipelineJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchDeletePipelineJobsResponse.ProtoReflect.Descriptor instead.

func (*BatchDeletePipelineJobsResponse) GetPipelineJobs 

func (x *BatchDeletePipelineJobsResponse) GetPipelineJobs() []*PipelineJob

func (*BatchDeletePipelineJobsResponse) ProtoMessage 

func (*BatchDeletePipelineJobsResponse) ProtoMessage()

func (*BatchDeletePipelineJobsResponse) ProtoReflect 

func (x *BatchDeletePipelineJobsResponse) ProtoReflect() protoreflect.Message

func (*BatchDeletePipelineJobsResponse) Reset 

func (x *BatchDeletePipelineJobsResponse) Reset()

func (*BatchDeletePipelineJobsResponse) String 

func (x *BatchDeletePipelineJobsResponse) String() string

type BatchImportEvaluatedAnnotationsRequest 

type BatchImportEvaluatedAnnotationsRequest struct {

	// Required. The name of the parent ModelEvaluationSlice resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Evaluated annotations resource to be imported.
	EvaluatedAnnotations []*EvaluatedAnnotation `protobuf:"bytes,2,rep,name=evaluated_annotations,json=evaluatedAnnotations,proto3" json:"evaluated_annotations,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]

func (*BatchImportEvaluatedAnnotationsRequest) Descriptor 

func (*BatchImportEvaluatedAnnotationsRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchImportEvaluatedAnnotationsRequest.ProtoReflect.Descriptor instead.

func (*BatchImportEvaluatedAnnotationsRequest) GetEvaluatedAnnotations 

func (x *BatchImportEvaluatedAnnotationsRequest) GetEvaluatedAnnotations() []*EvaluatedAnnotation

func (*BatchImportEvaluatedAnnotationsRequest) GetParent 

func (x *BatchImportEvaluatedAnnotationsRequest) GetParent() string

func (*BatchImportEvaluatedAnnotationsRequest) ProtoMessage 

func (*BatchImportEvaluatedAnnotationsRequest) ProtoMessage()

func (*BatchImportEvaluatedAnnotationsRequest) ProtoReflect 

func (x *BatchImportEvaluatedAnnotationsRequest) ProtoReflect() protoreflect.Message

func (*BatchImportEvaluatedAnnotationsRequest) Reset 

func (x *BatchImportEvaluatedAnnotationsRequest) Reset()

func (*BatchImportEvaluatedAnnotationsRequest) String 

func (x *BatchImportEvaluatedAnnotationsRequest) String() string

type BatchImportEvaluatedAnnotationsResponse 

type BatchImportEvaluatedAnnotationsResponse struct {

	// Output only. Number of EvaluatedAnnotations imported.
	ImportedEvaluatedAnnotationsCount int32 `protobuf:"varint,1,opt,name=imported_evaluated_annotations_count,json=importedEvaluatedAnnotationsCount,proto3" json:"imported_evaluated_annotations_count,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]

func (*BatchImportEvaluatedAnnotationsResponse) Descriptor 

func (*BatchImportEvaluatedAnnotationsResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchImportEvaluatedAnnotationsResponse.ProtoReflect.Descriptor instead.

func (*BatchImportEvaluatedAnnotationsResponse) GetImportedEvaluatedAnnotationsCount 

func (x *BatchImportEvaluatedAnnotationsResponse) GetImportedEvaluatedAnnotationsCount() int32

func (*BatchImportEvaluatedAnnotationsResponse) ProtoMessage 

func (*BatchImportEvaluatedAnnotationsResponse) ProtoMessage()

func (*BatchImportEvaluatedAnnotationsResponse) ProtoReflect 

func (x *BatchImportEvaluatedAnnotationsResponse) ProtoReflect() protoreflect.Message

func (*BatchImportEvaluatedAnnotationsResponse) Reset 

func (x *BatchImportEvaluatedAnnotationsResponse) Reset()

func (*BatchImportEvaluatedAnnotationsResponse) String 

func (x *BatchImportEvaluatedAnnotationsResponse) String() string

type BatchImportModelEvaluationSlicesRequest 

type BatchImportModelEvaluationSlicesRequest struct {

	// Required. The name of the parent ModelEvaluation resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Model evaluation slice resource to be imported.
	ModelEvaluationSlices []*ModelEvaluationSlice `protobuf:"bytes,2,rep,name=model_evaluation_slices,json=modelEvaluationSlices,proto3" json:"model_evaluation_slices,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]

func (*BatchImportModelEvaluationSlicesRequest) Descriptor 

func (*BatchImportModelEvaluationSlicesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchImportModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.

func (*BatchImportModelEvaluationSlicesRequest) GetModelEvaluationSlices 

func (x *BatchImportModelEvaluationSlicesRequest) GetModelEvaluationSlices() []*ModelEvaluationSlice

func (*BatchImportModelEvaluationSlicesRequest) GetParent 

func (x *BatchImportModelEvaluationSlicesRequest) GetParent() string

func (*BatchImportModelEvaluationSlicesRequest) ProtoMessage 

func (*BatchImportModelEvaluationSlicesRequest) ProtoMessage()

func (*BatchImportModelEvaluationSlicesRequest) ProtoReflect 

func (x *BatchImportModelEvaluationSlicesRequest) ProtoReflect() protoreflect.Message

func (*BatchImportModelEvaluationSlicesRequest) Reset 

func (x *BatchImportModelEvaluationSlicesRequest) Reset()

func (*BatchImportModelEvaluationSlicesRequest) String 

func (x *BatchImportModelEvaluationSlicesRequest) String() string

type BatchImportModelEvaluationSlicesResponse 

type BatchImportModelEvaluationSlicesResponse struct {

	// Output only. List of imported
	// [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
	ImportedModelEvaluationSlices []string `protobuf:"bytes,1,rep,name=imported_model_evaluation_slices,json=importedModelEvaluationSlices,proto3" json:"imported_model_evaluation_slices,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]

func (*BatchImportModelEvaluationSlicesResponse) Descriptor 

func (*BatchImportModelEvaluationSlicesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchImportModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.

func (*BatchImportModelEvaluationSlicesResponse) GetImportedModelEvaluationSlices 

func (x *BatchImportModelEvaluationSlicesResponse) GetImportedModelEvaluationSlices() []string

func (*BatchImportModelEvaluationSlicesResponse) ProtoMessage 

func (*BatchImportModelEvaluationSlicesResponse) ProtoMessage()

func (*BatchImportModelEvaluationSlicesResponse) ProtoReflect 

func (x *BatchImportModelEvaluationSlicesResponse) ProtoReflect() protoreflect.Message

func (*BatchImportModelEvaluationSlicesResponse) Reset 

func (x *BatchImportModelEvaluationSlicesResponse) Reset()

func (*BatchImportModelEvaluationSlicesResponse) String 

func (x *BatchImportModelEvaluationSlicesResponse) String() string

type BatchMigrateResourcesOperationMetadata 

type BatchMigrateResourcesOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Partial results that reflect the latest migration operation progress.
	PartialResults []*BatchMigrateResourcesOperationMetadata_PartialResult `protobuf:"bytes,2,rep,name=partial_results,json=partialResults,proto3" json:"partial_results,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].

func (*BatchMigrateResourcesOperationMetadata) Descriptor 

func (*BatchMigrateResourcesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesOperationMetadata) GetGenericMetadata 

func (x *BatchMigrateResourcesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchMigrateResourcesOperationMetadata) GetPartialResults 

func (x *BatchMigrateResourcesOperationMetadata) GetPartialResults() []*BatchMigrateResourcesOperationMetadata_PartialResult

func (*BatchMigrateResourcesOperationMetadata) ProtoMessage 

func (*BatchMigrateResourcesOperationMetadata) ProtoMessage()

func (*BatchMigrateResourcesOperationMetadata) ProtoReflect 

func (x *BatchMigrateResourcesOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesOperationMetadata) Reset 

func (x *BatchMigrateResourcesOperationMetadata) Reset()

func (*BatchMigrateResourcesOperationMetadata) String 

func (x *BatchMigrateResourcesOperationMetadata) String() string

type BatchMigrateResourcesOperationMetadata_PartialResult 

type BatchMigrateResourcesOperationMetadata_PartialResult struct {

	// If the resource's migration is ongoing, none of the result will be set.
	// If the resource's migration is finished, either error or one of the
	// migrated resource name will be filled.
	//
	// Types that are assignable to Result:
	//
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Error
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Model
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Dataset
	Result isBatchMigrateResourcesOperationMetadata_PartialResult_Result `protobuf_oneof:"result"`
	// It's the same as the value in
	// [BatchMigrateResourcesRequest.migrate_resource_requests][google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.migrate_resource_requests].
	Request *MigrateResourceRequest `protobuf:"bytes,1,opt,name=request,proto3" json:"request,omitempty"`
	// contains filtered or unexported fields
}

Represents a partial result in batch migration operation for one MigrateResourceRequest[google.cloud.aiplatform.v1.MigrateResourceRequest].

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Descriptor 

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesOperationMetadata_PartialResult.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset() string

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetError 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetError() *status.Status

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetModel 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetModel() string

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest() *MigrateResourceRequest

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetResult 

func (m *BatchMigrateResourcesOperationMetadata_PartialResult) GetResult() isBatchMigrateResourcesOperationMetadata_PartialResult_Result

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage 

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage()

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Reset 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) Reset()

func (*BatchMigrateResourcesOperationMetadata_PartialResult) String 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) String() string

type BatchMigrateResourcesOperationMetadata_PartialResult_Dataset 

type BatchMigrateResourcesOperationMetadata_PartialResult_Dataset struct {
	// Migrated dataset resource name.
	Dataset string `protobuf:"bytes,4,opt,name=dataset,proto3,oneof"`
}

type BatchMigrateResourcesOperationMetadata_PartialResult_Error 

type BatchMigrateResourcesOperationMetadata_PartialResult_Error struct {
	// The error result of the migration request in case of failure.
	Error *status.Status `protobuf:"bytes,2,opt,name=error,proto3,oneof"`
}

type BatchMigrateResourcesOperationMetadata_PartialResult_Model 

type BatchMigrateResourcesOperationMetadata_PartialResult_Model struct {
	// Migrated model resource name.
	Model string `protobuf:"bytes,3,opt,name=model,proto3,oneof"`
}

type BatchMigrateResourcesRequest 

type BatchMigrateResourcesRequest struct {

	// Required. The location of the migrated resource will live in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request messages specifying the resources to migrate.
	// They must be in the same location as the destination.
	// Up to 50 resources can be migrated in one batch.
	MigrateResourceRequests []*MigrateResourceRequest `protobuf:"bytes,2,rep,name=migrate_resource_requests,json=migrateResourceRequests,proto3" json:"migrate_resource_requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].

func (*BatchMigrateResourcesRequest) Descriptor 

func (*BatchMigrateResourcesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesRequest.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesRequest) GetMigrateResourceRequests 

func (x *BatchMigrateResourcesRequest) GetMigrateResourceRequests() []*MigrateResourceRequest

func (*BatchMigrateResourcesRequest) GetParent 

func (x *BatchMigrateResourcesRequest) GetParent() string

func (*BatchMigrateResourcesRequest) ProtoMessage 

func (*BatchMigrateResourcesRequest) ProtoMessage()

func (*BatchMigrateResourcesRequest) ProtoReflect 

func (x *BatchMigrateResourcesRequest) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesRequest) Reset 

func (x *BatchMigrateResourcesRequest) Reset()

func (*BatchMigrateResourcesRequest) String 

func (x *BatchMigrateResourcesRequest) String() string

type BatchMigrateResourcesResponse 

type BatchMigrateResourcesResponse struct {

	// Successfully migrated resources.
	MigrateResourceResponses []*MigrateResourceResponse `protobuf:"bytes,1,rep,name=migrate_resource_responses,json=migrateResourceResponses,proto3" json:"migrate_resource_responses,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].

func (*BatchMigrateResourcesResponse) Descriptor 

func (*BatchMigrateResourcesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesResponse.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesResponse) GetMigrateResourceResponses 

func (x *BatchMigrateResourcesResponse) GetMigrateResourceResponses() []*MigrateResourceResponse

func (*BatchMigrateResourcesResponse) ProtoMessage 

func (*BatchMigrateResourcesResponse) ProtoMessage()

func (*BatchMigrateResourcesResponse) ProtoReflect 

func (x *BatchMigrateResourcesResponse) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesResponse) Reset 

func (x *BatchMigrateResourcesResponse) Reset()

func (*BatchMigrateResourcesResponse) String 

func (x *BatchMigrateResourcesResponse) String() string

type BatchPredictionJob 

type BatchPredictionJob struct {

	// Output only. Resource name of the BatchPredictionJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of this BatchPredictionJob.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The name of the Model resource that produces the predictions via this job,
	// must share the same ancestor Location.
	// Starting this job has no impact on any existing deployments of the Model
	// and their resources.
	// Exactly one of model and unmanaged_container_model must be set.
	//
	// The model resource name may contain version id or version alias to specify
	// the version.
	//
	//	Example: `projects/{project}/locations/{location}/models/{model}@2`
	//	            or
	//	          `projects/{project}/locations/{location}/models/{model}@golden`
	//
	// if no version is specified, the default version will be deployed.
	//
	// The model resource could also be a publisher model.
	//
	//	Example: `publishers/{publisher}/models/{model}`
	//	            or
	//	         `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
	Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. The version ID of the Model that produces the predictions via
	// this job.
	ModelVersionId string `protobuf:"bytes,30,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
	// Contains model information necessary to perform batch prediction without
	// requiring uploading to model registry.
	// Exactly one of model and unmanaged_container_model must be set.
	UnmanagedContainerModel *UnmanagedContainerModel `protobuf:"bytes,28,opt,name=unmanaged_container_model,json=unmanagedContainerModel,proto3" json:"unmanaged_container_model,omitempty"`
	// Required. Input configuration of the instances on which predictions are
	// performed. The schema of any single instance may be specified via the
	// [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
	InputConfig *BatchPredictionJob_InputConfig `protobuf:"bytes,4,opt,name=input_config,json=inputConfig,proto3" json:"input_config,omitempty"`
	// Configuration for how to convert batch prediction input instances to the
	// prediction instances that are sent to the Model.
	InstanceConfig *BatchPredictionJob_InstanceConfig `protobuf:"bytes,27,opt,name=instance_config,json=instanceConfig,proto3" json:"instance_config,omitempty"`
	// The parameters that govern the predictions. The schema of the parameters
	// may be specified via the
	// [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
	ModelParameters *structpb.Value `protobuf:"bytes,5,opt,name=model_parameters,json=modelParameters,proto3" json:"model_parameters,omitempty"`
	// Required. The Configuration specifying where output predictions should
	// be written.
	// The schema of any single prediction may be specified as a concatenation
	// of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
	// and
	// [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
	OutputConfig *BatchPredictionJob_OutputConfig `protobuf:"bytes,6,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
	// The config of resources used by the Model during the batch prediction. If
	// the Model
	// [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
	// DEDICATED_RESOURCES this config may be provided (and the job will use these
	// resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
	// must be provided.
	DedicatedResources *BatchDedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3" json:"dedicated_resources,omitempty"`
	// The service account that the DeployedModel's container runs as. If not
	// specified, a system generated one will be used, which
	// has minimal permissions and the custom container, if used, may not have
	// enough permission to access other Google Cloud resources.
	//
	// Users deploying the Model must have the `iam.serviceAccounts.actAs`
	// permission on this service account.
	ServiceAccount string `protobuf:"bytes,29,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// Immutable. Parameters configuring the batch behavior. Currently only
	// applicable when
	// [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
	// are used (in other cases Vertex AI does the tuning itself).
	ManualBatchTuningParameters *ManualBatchTuningParameters `protobuf:"bytes,8,opt,name=manual_batch_tuning_parameters,json=manualBatchTuningParameters,proto3" json:"manual_batch_tuning_parameters,omitempty"`
	// Generate explanation with the batch prediction results.
	//
	// When set to `true`, the batch prediction output changes based on the
	// `predictions_format` field of the
	// [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
	// object:
	//
	//   - `bigquery`: output includes a column named `explanation`. The value
	//     is a struct that conforms to the
	//     [Explanation][google.cloud.aiplatform.v1.Explanation] object.
	//   - `jsonl`: The JSON objects on each line include an additional entry
	//     keyed `explanation`. The value of the entry is a JSON object that
	//     conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
	//     object.
	//   - `csv`: Generating explanations for CSV format is not supported.
	//
	// If this field is set to true, either the
	// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
	// or
	// [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
	// must be populated.
	GenerateExplanation bool `protobuf:"varint,23,opt,name=generate_explanation,json=generateExplanation,proto3" json:"generate_explanation,omitempty"`
	// Explanation configuration for this BatchPredictionJob. Can be
	// specified only if
	// [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
	// is set to `true`.
	//
	// This value overrides the value of
	// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
	// All fields of
	// [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
	// are optional in the request. If a field of the
	// [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
	// object is not populated, the corresponding field of the
	// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
	// object is inherited.
	ExplanationSpec *ExplanationSpec `protobuf:"bytes,25,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
	// Output only. Information further describing the output of this job.
	OutputInfo *BatchPredictionJob_OutputInfo `protobuf:"bytes,9,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,10,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
	// Output only. Only populated when the job's state is JOB_STATE_FAILED or
	// JOB_STATE_CANCELLED.
	Error *status.Status `protobuf:"bytes,11,opt,name=error,proto3" json:"error,omitempty"`
	// Output only. Partial failures encountered.
	// For example, single files that can't be read.
	// This field never exceeds 20 entries.
	// Status details fields contain standard Google Cloud error details.
	PartialFailures []*status.Status `protobuf:"bytes,12,rep,name=partial_failures,json=partialFailures,proto3" json:"partial_failures,omitempty"`
	// Output only. Information about resources that had been consumed by this
	// job. Provided in real time at best effort basis, as well as a final value
	// once the job completes.
	//
	// Note: This field currently may be not populated for batch predictions that
	// use AutoML Models.
	ResourcesConsumed *ResourcesConsumed `protobuf:"bytes,13,opt,name=resources_consumed,json=resourcesConsumed,proto3" json:"resources_consumed,omitempty"`
	// Output only. Statistics on completed and failed prediction instances.
	CompletionStats *CompletionStats `protobuf:"bytes,14,opt,name=completion_stats,json=completionStats,proto3" json:"completion_stats,omitempty"`
	// Output only. Time when the BatchPredictionJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,15,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the BatchPredictionJob for the first time entered
	// the `JOB_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,16,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the BatchPredictionJob entered any of the following
	// states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,17,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the BatchPredictionJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,18,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize BatchPredictionJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,19,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Customer-managed encryption key options for a BatchPredictionJob. If this
	// is set, then all resources created by the BatchPredictionJob will be
	// encrypted with the provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,24,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// For custom-trained Models and AutoML Tabular Models, the container of the
	// DeployedModel instances will send `stderr` and `stdout` streams to
	// Cloud Logging by default. Please note that the logs incur cost,
	// which are subject to [Cloud Logging
	// pricing](https://cloud.google.com/logging/pricing).
	//
	// User can disable container logging by setting this flag to true.
	DisableContainerLogging bool `protobuf:"varint,34,opt,name=disable_container_logging,json=disableContainerLogging,proto3" json:"disable_container_logging,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,36,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,37,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

A job that uses a Model[google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.

func (*BatchPredictionJob) Descriptor 

func (*BatchPredictionJob) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob) GetCompletionStats 

func (x *BatchPredictionJob) GetCompletionStats() *CompletionStats

func (*BatchPredictionJob) GetCreateTime 

func (x *BatchPredictionJob) GetCreateTime() *timestamppb.Timestamp

func (*BatchPredictionJob) GetDedicatedResources 

func (x *BatchPredictionJob) GetDedicatedResources() *BatchDedicatedResources

func (*BatchPredictionJob) GetDisableContainerLogging 

func (x *BatchPredictionJob) GetDisableContainerLogging() bool

func (*BatchPredictionJob) GetDisplayName 

func (x *BatchPredictionJob) GetDisplayName() string

func (*BatchPredictionJob) GetEncryptionSpec 

func (x *BatchPredictionJob) GetEncryptionSpec() *EncryptionSpec

func (*BatchPredictionJob) GetEndTime 

func (x *BatchPredictionJob) GetEndTime() *timestamppb.Timestamp

func (*BatchPredictionJob) GetError 

func (x *BatchPredictionJob) GetError() *status.Status

func (*BatchPredictionJob) GetExplanationSpec 

func (x *BatchPredictionJob) GetExplanationSpec() *ExplanationSpec

func (*BatchPredictionJob) GetGenerateExplanation 

func (x *BatchPredictionJob) GetGenerateExplanation() bool

func (*BatchPredictionJob) GetInputConfig 

func (x *BatchPredictionJob) GetInputConfig() *BatchPredictionJob_InputConfig

func (*BatchPredictionJob) GetInstanceConfig 

func (x *BatchPredictionJob) GetInstanceConfig() *BatchPredictionJob_InstanceConfig

func (*BatchPredictionJob) GetLabels 

func (x *BatchPredictionJob) GetLabels() map[string]string

func (*BatchPredictionJob) GetManualBatchTuningParameters 

func (x *BatchPredictionJob) GetManualBatchTuningParameters() *ManualBatchTuningParameters

func (*BatchPredictionJob) GetModel 

func (x *BatchPredictionJob) GetModel() string

func (*BatchPredictionJob) GetModelParameters 

func (x *BatchPredictionJob) GetModelParameters() *structpb.Value

func (*BatchPredictionJob) GetModelVersionId 

func (x *BatchPredictionJob) GetModelVersionId() string

func (*BatchPredictionJob) GetName 

func (x *BatchPredictionJob) GetName() string

func (*BatchPredictionJob) GetOutputConfig 

func (x *BatchPredictionJob) GetOutputConfig() *BatchPredictionJob_OutputConfig

func (*BatchPredictionJob) GetOutputInfo 

func (x *BatchPredictionJob) GetOutputInfo() *BatchPredictionJob_OutputInfo

func (*BatchPredictionJob) GetPartialFailures 

func (x *BatchPredictionJob) GetPartialFailures() []*status.Status

func (*BatchPredictionJob) GetResourcesConsumed 

func (x *BatchPredictionJob) GetResourcesConsumed() *ResourcesConsumed

func (*BatchPredictionJob) GetSatisfiesPzi 

func (x *BatchPredictionJob) GetSatisfiesPzi() bool

func (*BatchPredictionJob) GetSatisfiesPzs 

func (x *BatchPredictionJob) GetSatisfiesPzs() bool

func (*BatchPredictionJob) GetServiceAccount 

func (x *BatchPredictionJob) GetServiceAccount() string

func (*BatchPredictionJob) GetStartTime 

func (x *BatchPredictionJob) GetStartTime() *timestamppb.Timestamp

func (*BatchPredictionJob) GetState 

func (x *BatchPredictionJob) GetState() JobState

func (*BatchPredictionJob) GetUnmanagedContainerModel 

func (x *BatchPredictionJob) GetUnmanagedContainerModel() *UnmanagedContainerModel

func (*BatchPredictionJob) GetUpdateTime 

func (x *BatchPredictionJob) GetUpdateTime() *timestamppb.Timestamp

func (*BatchPredictionJob) ProtoMessage 

func (*BatchPredictionJob) ProtoMessage()

func (*BatchPredictionJob) ProtoReflect 

func (x *BatchPredictionJob) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob) Reset 

func (x *BatchPredictionJob) Reset()

func (*BatchPredictionJob) String 

func (x *BatchPredictionJob) String() string

type BatchPredictionJob_InputConfig 

type BatchPredictionJob_InputConfig struct {

	// Required. The source of the input.
	//
	// Types that are assignable to Source:
	//
	//	*BatchPredictionJob_InputConfig_GcsSource
	//	*BatchPredictionJob_InputConfig_BigquerySource
	Source isBatchPredictionJob_InputConfig_Source `protobuf_oneof:"source"`
	// Required. The format in which instances are given, must be one of the
	// [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
	// [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
	InstancesFormat string `protobuf:"bytes,1,opt,name=instances_format,json=instancesFormat,proto3" json:"instances_format,omitempty"`
	// contains filtered or unexported fields
}

Configures the input to BatchPredictionJob[google.cloud.aiplatform.v1.BatchPredictionJob]. See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input formats, and how instances should be expressed via any of them.

func (*BatchPredictionJob_InputConfig) Descriptor 

func (*BatchPredictionJob_InputConfig) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_InputConfig.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_InputConfig) GetBigquerySource 

func (x *BatchPredictionJob_InputConfig) GetBigquerySource() *BigQuerySource

func (*BatchPredictionJob_InputConfig) GetGcsSource 

func (x *BatchPredictionJob_InputConfig) GetGcsSource() *GcsSource

func (*BatchPredictionJob_InputConfig) GetInstancesFormat 

func (x *BatchPredictionJob_InputConfig) GetInstancesFormat() string

func (*BatchPredictionJob_InputConfig) GetSource 

func (m *BatchPredictionJob_InputConfig) GetSource() isBatchPredictionJob_InputConfig_Source

func (*BatchPredictionJob_InputConfig) ProtoMessage 

func (*BatchPredictionJob_InputConfig) ProtoMessage()

func (*BatchPredictionJob_InputConfig) ProtoReflect 

func (x *BatchPredictionJob_InputConfig) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_InputConfig) Reset 

func (x *BatchPredictionJob_InputConfig) Reset()

func (*BatchPredictionJob_InputConfig) String 

func (x *BatchPredictionJob_InputConfig) String() string

type BatchPredictionJob_InputConfig_BigquerySource 

type BatchPredictionJob_InputConfig_BigquerySource struct {
	// The BigQuery location of the input table.
	// The schema of the table should be in the format described by the given
	// context OpenAPI Schema, if one is provided. The table may contain
	// additional columns that are not described by the schema, and they will
	// be ignored.
	BigquerySource *BigQuerySource `protobuf:"bytes,3,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}

type BatchPredictionJob_InputConfig_GcsSource 

type BatchPredictionJob_InputConfig_GcsSource struct {
	// The Cloud Storage location for the input instances.
	GcsSource *GcsSource `protobuf:"bytes,2,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

type BatchPredictionJob_InstanceConfig 

type BatchPredictionJob_InstanceConfig struct {

	// The format of the instance that the Model accepts. Vertex AI will
	// convert compatible
	// [batch prediction input instance
	// formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
	// to the specified format.
	//
	// Supported values are:
	//
	// * `object`: Each input is converted to JSON object format.
	//   - For `bigquery`, each row is converted to an object.
	//   - For `jsonl`, each line of the JSONL input must be an object.
	//   - Does not apply to `csv`, `file-list`, `tf-record`, or
	//     `tf-record-gzip`.
	//
	// * `array`: Each input is converted to JSON array format.
	//   - For `bigquery`, each row is converted to an array. The order
	//     of columns is determined by the BigQuery column order, unless
	//     [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
	//     is populated.
	//     [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
	//     must be populated for specifying field orders.
	//   - For `jsonl`, if each line of the JSONL input is an object,
	//     [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
	//     must be populated for specifying field orders.
	//   - Does not apply to `csv`, `file-list`, `tf-record`, or
	//     `tf-record-gzip`.
	//
	// If not specified, Vertex AI converts the batch prediction input as
	// follows:
	//
	//   - For `bigquery` and `csv`, the behavior is the same as `array`. The
	//     order of columns is the same as defined in the file or table, unless
	//     [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
	//     is populated.
	//   - For `jsonl`, the prediction instance format is determined by
	//     each line of the input.
	//   - For `tf-record`/`tf-record-gzip`, each record will be converted to
	//     an object in the format of `{"b64": <value>}`, where `<value>` is
	//     the Base64-encoded string of the content of the record.
	//   - For `file-list`, each file in the list will be converted to an
	//     object in the format of `{"b64": <value>}`, where `<value>` is
	//     the Base64-encoded string of the content of the file.
	InstanceType string `protobuf:"bytes,1,opt,name=instance_type,json=instanceType,proto3" json:"instance_type,omitempty"`
	// The name of the field that is considered as a key.
	//
	// The values identified by the key field is not included in the transformed
	// instances that is sent to the Model. This is similar to
	// specifying this name of the field in
	// [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
	// In addition, the batch prediction output will not include the instances.
	// Instead the output will only include the value of the key field, in a
	// field named `key` in the output:
	//
	//   - For `jsonl` output format, the output will have a `key` field
	//     instead of the `instance` field.
	//   - For `csv`/`bigquery` output format, the output will have have a `key`
	//     column instead of the instance feature columns.
	//
	// The input must be JSONL with objects at each line, CSV, BigQuery
	// or TfRecord.
	KeyField string `protobuf:"bytes,2,opt,name=key_field,json=keyField,proto3" json:"key_field,omitempty"`
	// Fields that will be included in the prediction instance that is
	// sent to the Model.
	//
	// If
	// [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
	// is `array`, the order of field names in included_fields also determines
	// the order of the values in the array.
	//
	// When included_fields is populated,
	// [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
	// must be empty.
	//
	// The input must be JSONL with objects at each line, BigQuery
	// or TfRecord.
	IncludedFields []string `protobuf:"bytes,3,rep,name=included_fields,json=includedFields,proto3" json:"included_fields,omitempty"`
	// Fields that will be excluded in the prediction instance that is
	// sent to the Model.
	//
	// Excluded will be attached to the batch prediction output if
	// [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
	// is not specified.
	//
	// When excluded_fields is populated,
	// [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
	// must be empty.
	//
	// The input must be JSONL with objects at each line, BigQuery
	// or TfRecord.
	ExcludedFields []string `protobuf:"bytes,4,rep,name=excluded_fields,json=excludedFields,proto3" json:"excluded_fields,omitempty"`
	// contains filtered or unexported fields
}

Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.

func (*BatchPredictionJob_InstanceConfig) Descriptor 

func (*BatchPredictionJob_InstanceConfig) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_InstanceConfig.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_InstanceConfig) GetExcludedFields 

func (x *BatchPredictionJob_InstanceConfig) GetExcludedFields() []string

func (*BatchPredictionJob_InstanceConfig) GetIncludedFields 

func (x *BatchPredictionJob_InstanceConfig) GetIncludedFields() []string

func (*BatchPredictionJob_InstanceConfig) GetInstanceType 

func (x *BatchPredictionJob_InstanceConfig) GetInstanceType() string

func (*BatchPredictionJob_InstanceConfig) GetKeyField 

func (x *BatchPredictionJob_InstanceConfig) GetKeyField() string

func (*BatchPredictionJob_InstanceConfig) ProtoMessage 

func (*BatchPredictionJob_InstanceConfig) ProtoMessage()

func (*BatchPredictionJob_InstanceConfig) ProtoReflect 

func (x *BatchPredictionJob_InstanceConfig) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_InstanceConfig) Reset 

func (x *BatchPredictionJob_InstanceConfig) Reset()

func (*BatchPredictionJob_InstanceConfig) String 

func (x *BatchPredictionJob_InstanceConfig) String() string

type BatchPredictionJob_OutputConfig 

type BatchPredictionJob_OutputConfig struct {

	// Required. The destination of the output.
	//
	// Types that are assignable to Destination:
	//
	//	*BatchPredictionJob_OutputConfig_GcsDestination
	//	*BatchPredictionJob_OutputConfig_BigqueryDestination
	Destination isBatchPredictionJob_OutputConfig_Destination `protobuf_oneof:"destination"`
	// Required. The format in which Vertex AI gives the predictions, must be
	// one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
	// [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
	PredictionsFormat string `protobuf:"bytes,1,opt,name=predictions_format,json=predictionsFormat,proto3" json:"predictions_format,omitempty"`
	// contains filtered or unexported fields
}

Configures the output of BatchPredictionJob[google.cloud.aiplatform.v1.BatchPredictionJob]. See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output formats, and how predictions are expressed via any of them.

func (*BatchPredictionJob_OutputConfig) Descriptor 

func (*BatchPredictionJob_OutputConfig) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_OutputConfig.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_OutputConfig) GetBigqueryDestination 

func (x *BatchPredictionJob_OutputConfig) GetBigqueryDestination() *BigQueryDestination

func (*BatchPredictionJob_OutputConfig) GetDestination 

func (m *BatchPredictionJob_OutputConfig) GetDestination() isBatchPredictionJob_OutputConfig_Destination

func (*BatchPredictionJob_OutputConfig) GetGcsDestination 

func (x *BatchPredictionJob_OutputConfig) GetGcsDestination() *GcsDestination

func (*BatchPredictionJob_OutputConfig) GetPredictionsFormat 

func (x *BatchPredictionJob_OutputConfig) GetPredictionsFormat() string

func (*BatchPredictionJob_OutputConfig) ProtoMessage 

func (*BatchPredictionJob_OutputConfig) ProtoMessage()

func (*BatchPredictionJob_OutputConfig) ProtoReflect 

func (x *BatchPredictionJob_OutputConfig) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_OutputConfig) Reset 

func (x *BatchPredictionJob_OutputConfig) Reset()

func (*BatchPredictionJob_OutputConfig) String 

func (x *BatchPredictionJob_OutputConfig) String() string

type BatchPredictionJob_OutputConfig_BigqueryDestination 

type BatchPredictionJob_OutputConfig_BigqueryDestination struct {
	// The BigQuery project or dataset location where the output is to be
	// written to. If project is provided, a new dataset is created with name
	// `prediction_<model-display-name>_<job-create-time>`
	// where <model-display-name> is made
	// BigQuery-dataset-name compatible (for example, most special characters
	// become underscores), and timestamp is in
	// YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
	// two tables will be created, `predictions`, and `errors`.
	// If the Model has both
	// [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
	// and
	// [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
	// schemata defined then the tables have columns as follows: The
	// `predictions` table contains instances for which the prediction
	// succeeded, it has columns as per a concatenation of the Model's
	// instance and prediction schemata. The `errors` table contains rows for
	// which the prediction has failed, it has instance columns, as per the
	// instance schema, followed by a single "errors" column, which as values
	// has [google.rpc.Status][google.rpc.Status]
	// represented as a STRUCT, and containing only `code` and `message`.
	BigqueryDestination *BigQueryDestination `protobuf:"bytes,3,opt,name=bigquery_destination,json=bigqueryDestination,proto3,oneof"`
}

type BatchPredictionJob_OutputConfig_GcsDestination 

type BatchPredictionJob_OutputConfig_GcsDestination struct {
	// The Cloud Storage location of the directory where the output is
	// to be written to. In the given directory a new directory is created.
	// Its name is `prediction-<model-display-name>-<job-create-time>`,
	// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
	// Inside of it files `predictions_0001.<extension>`,
	// `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
	// are created where `<extension>` depends on chosen
	// [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
	// and N may equal 0001 and depends on the total number of successfully
	// predicted instances. If the Model has both
	// [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
	// and
	// [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
	// schemata defined then each such file contains predictions as per the
	// [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
	// If prediction for any instance failed (partially or completely), then
	// an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
	// `errors_N.<extension>` files are created (N depends on total number
	// of failed predictions). These files contain the failed instances,
	// as per their schema, followed by an additional `error` field which as
	// value has [google.rpc.Status][google.rpc.Status]
	// containing only `code` and `message` fields.
	GcsDestination *GcsDestination `protobuf:"bytes,2,opt,name=gcs_destination,json=gcsDestination,proto3,oneof"`
}

type BatchPredictionJob_OutputInfo 

type BatchPredictionJob_OutputInfo struct {

	// The output location into which prediction output is written.
	//
	// Types that are assignable to OutputLocation:
	//
	//	*BatchPredictionJob_OutputInfo_GcsOutputDirectory
	//	*BatchPredictionJob_OutputInfo_BigqueryOutputDataset
	OutputLocation isBatchPredictionJob_OutputInfo_OutputLocation `protobuf_oneof:"output_location"`
	// Output only. The name of the BigQuery table created, in
	// `predictions_<timestamp>`
	// format, into which the prediction output is written.
	// Can be used by UI to generate the BigQuery output path, for example.
	BigqueryOutputTable string `protobuf:"bytes,4,opt,name=bigquery_output_table,json=bigqueryOutputTable,proto3" json:"bigquery_output_table,omitempty"`
	// contains filtered or unexported fields
}

Further describes this job's output. Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].

func (*BatchPredictionJob_OutputInfo) Descriptor 

func (*BatchPredictionJob_OutputInfo) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_OutputInfo.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_OutputInfo) GetBigqueryOutputDataset 

func (x *BatchPredictionJob_OutputInfo) GetBigqueryOutputDataset() string

func (*BatchPredictionJob_OutputInfo) GetBigqueryOutputTable 

func (x *BatchPredictionJob_OutputInfo) GetBigqueryOutputTable() string

func (*BatchPredictionJob_OutputInfo) GetGcsOutputDirectory 

func (x *BatchPredictionJob_OutputInfo) GetGcsOutputDirectory() string

func (*BatchPredictionJob_OutputInfo) GetOutputLocation 

func (m *BatchPredictionJob_OutputInfo) GetOutputLocation() isBatchPredictionJob_OutputInfo_OutputLocation

func (*BatchPredictionJob_OutputInfo) ProtoMessage 

func (*BatchPredictionJob_OutputInfo) ProtoMessage()

func (*BatchPredictionJob_OutputInfo) ProtoReflect 

func (x *BatchPredictionJob_OutputInfo) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_OutputInfo) Reset 

func (x *BatchPredictionJob_OutputInfo) Reset()

func (*BatchPredictionJob_OutputInfo) String 

func (x *BatchPredictionJob_OutputInfo) String() string

type BatchPredictionJob_OutputInfo_BigqueryOutputDataset 

type BatchPredictionJob_OutputInfo_BigqueryOutputDataset struct {
	// Output only. The path of the BigQuery dataset created, in
	// `bq://projectId.bqDatasetId`
	// format, into which the prediction output is written.
	BigqueryOutputDataset string `protobuf:"bytes,2,opt,name=bigquery_output_dataset,json=bigqueryOutputDataset,proto3,oneof"`
}

type BatchPredictionJob_OutputInfo_GcsOutputDirectory 

type BatchPredictionJob_OutputInfo_GcsOutputDirectory struct {
	// Output only. The full path of the Cloud Storage directory created, into
	// which the prediction output is written.
	GcsOutputDirectory string `protobuf:"bytes,1,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3,oneof"`
}

type BatchReadFeatureValuesOperationMetadata 

type BatchReadFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore batch read Features values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that batch reads Feature values.

func (*BatchReadFeatureValuesOperationMetadata) Descriptor 

func (*BatchReadFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesOperationMetadata) GetGenericMetadata 

func (x *BatchReadFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchReadFeatureValuesOperationMetadata) ProtoMessage 

func (*BatchReadFeatureValuesOperationMetadata) ProtoMessage()

func (*BatchReadFeatureValuesOperationMetadata) ProtoReflect 

func (x *BatchReadFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesOperationMetadata) Reset 

func (x *BatchReadFeatureValuesOperationMetadata) Reset()

func (*BatchReadFeatureValuesOperationMetadata) String 

func (x *BatchReadFeatureValuesOperationMetadata) String() string

type BatchReadFeatureValuesRequest 

type BatchReadFeatureValuesRequest struct {

	// Types that are assignable to ReadOption:
	//
	//	*BatchReadFeatureValuesRequest_CsvReadInstances
	//	*BatchReadFeatureValuesRequest_BigqueryReadInstances
	ReadOption isBatchReadFeatureValuesRequest_ReadOption `protobuf_oneof:"read_option"`
	// Required. The resource name of the Featurestore from which to query Feature
	// values. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Featurestore string `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
	// Required. Specifies output location and format.
	Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
	// When not empty, the specified fields in the *_read_instances source will be
	// joined as-is in the output, in addition to those fields from the
	// Featurestore Entity.
	//
	// For BigQuery source, the type of the pass-through values will be
	// automatically inferred. For CSV source, the pass-through values will be
	// passed as opaque bytes.
	PassThroughFields []*BatchReadFeatureValuesRequest_PassThroughField `protobuf:"bytes,8,rep,name=pass_through_fields,json=passThroughFields,proto3" json:"pass_through_fields,omitempty"`
	// Required. Specifies EntityType grouping Features to read values of and
	// settings.
	EntityTypeSpecs []*BatchReadFeatureValuesRequest_EntityTypeSpec `protobuf:"bytes,7,rep,name=entity_type_specs,json=entityTypeSpecs,proto3" json:"entity_type_specs,omitempty"`
	// Optional. Excludes Feature values with feature generation timestamp before
	// this timestamp. If not set, retrieve oldest values kept in Feature Store.
	// Timestamp, if present, must not have higher than millisecond precision.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].

func (*BatchReadFeatureValuesRequest) Descriptor 

func (*BatchReadFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest) GetBigqueryReadInstances 

func (x *BatchReadFeatureValuesRequest) GetBigqueryReadInstances() *BigQuerySource

func (*BatchReadFeatureValuesRequest) GetCsvReadInstances 

func (x *BatchReadFeatureValuesRequest) GetCsvReadInstances() *CsvSource

func (*BatchReadFeatureValuesRequest) GetDestination 

func (x *BatchReadFeatureValuesRequest) GetDestination() *FeatureValueDestination

func (*BatchReadFeatureValuesRequest) GetEntityTypeSpecs 

func (x *BatchReadFeatureValuesRequest) GetEntityTypeSpecs() []*BatchReadFeatureValuesRequest_EntityTypeSpec

func (*BatchReadFeatureValuesRequest) GetFeaturestore 

func (x *BatchReadFeatureValuesRequest) GetFeaturestore() string

func (*BatchReadFeatureValuesRequest) GetPassThroughFields 

func (x *BatchReadFeatureValuesRequest) GetPassThroughFields() []*BatchReadFeatureValuesRequest_PassThroughField

func (*BatchReadFeatureValuesRequest) GetReadOption 

func (m *BatchReadFeatureValuesRequest) GetReadOption() isBatchReadFeatureValuesRequest_ReadOption

func (*BatchReadFeatureValuesRequest) GetStartTime 

func (x *BatchReadFeatureValuesRequest) GetStartTime() *timestamppb.Timestamp

func (*BatchReadFeatureValuesRequest) ProtoMessage 

func (*BatchReadFeatureValuesRequest) ProtoMessage()

func (*BatchReadFeatureValuesRequest) ProtoReflect 

func (x *BatchReadFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesRequest) Reset 

func (x *BatchReadFeatureValuesRequest) Reset()

func (*BatchReadFeatureValuesRequest) String 

func (x *BatchReadFeatureValuesRequest) String() string

type BatchReadFeatureValuesRequest_BigqueryReadInstances 

type BatchReadFeatureValuesRequest_BigqueryReadInstances struct {
	// Similar to csv_read_instances, but from BigQuery source.
	BigqueryReadInstances *BigQuerySource `protobuf:"bytes,5,opt,name=bigquery_read_instances,json=bigqueryReadInstances,proto3,oneof"`
}

type BatchReadFeatureValuesRequest_CsvReadInstances 

type BatchReadFeatureValuesRequest_CsvReadInstances struct {
	// Each read instance consists of exactly one read timestamp and one or more
	// entity IDs identifying entities of the corresponding EntityTypes whose
	// Features are requested.
	//
	// Each output instance contains Feature values of requested entities
	// concatenated together as of the read time.
	//
	// An example read instance may be `foo_entity_id, bar_entity_id,
	// 2020-01-01T10:00:00.123Z`.
	//
	// An example output instance may be `foo_entity_id, bar_entity_id,
	// 2020-01-01T10:00:00.123Z, foo_entity_feature1_value,
	// bar_entity_feature2_value`.
	//
	// Timestamp in each read instance must be millisecond-aligned.
	//
	// `csv_read_instances` are read instances stored in a plain-text CSV file.
	// The header should be:
	//
	//	[ENTITY_TYPE_ID1], [ENTITY_TYPE_ID2], ..., timestamp
	//
	// The columns can be in any order.
	//
	// Values in the timestamp column must use the RFC 3339 format, e.g.
	// `2012-07-30T10:43:17.123Z`.
	CsvReadInstances *CsvSource `protobuf:"bytes,3,opt,name=csv_read_instances,json=csvReadInstances,proto3,oneof"`
}

type BatchReadFeatureValuesRequest_EntityTypeSpec 

type BatchReadFeatureValuesRequest_EntityTypeSpec struct {

	// Required. ID of the EntityType to select Features. The EntityType id is
	// the
	// [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
	// specified during EntityType creation.
	EntityTypeId string `protobuf:"bytes,1,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
	// Required. Selectors choosing which Feature values to read from the
	// EntityType.
	FeatureSelector *FeatureSelector `protobuf:"bytes,2,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// Per-Feature settings for the batch read.
	Settings []*DestinationFeatureSetting `protobuf:"bytes,3,rep,name=settings,proto3" json:"settings,omitempty"`
	// contains filtered or unexported fields
}

Selects Features of an EntityType to read values of and specifies read settings.

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Descriptor 

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesRequest_EntityTypeSpec.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId() string

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector() *FeatureSelector

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings() []*DestinationFeatureSetting

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage 

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage()

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Reset 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) Reset()

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) String 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) String() string

type BatchReadFeatureValuesRequest_PassThroughField 

type BatchReadFeatureValuesRequest_PassThroughField struct {

	// Required. The name of the field in the CSV header or the name of the
	// column in BigQuery table. The naming restriction is the same as
	// [Feature.name][google.cloud.aiplatform.v1.Feature.name].
	FieldName string `protobuf:"bytes,1,opt,name=field_name,json=fieldName,proto3" json:"field_name,omitempty"`
	// contains filtered or unexported fields
}

Describe pass-through fields in read_instance source.

func (*BatchReadFeatureValuesRequest_PassThroughField) Descriptor 

func (*BatchReadFeatureValuesRequest_PassThroughField) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesRequest_PassThroughField.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest_PassThroughField) GetFieldName 

func (x *BatchReadFeatureValuesRequest_PassThroughField) GetFieldName() string

func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoMessage 

func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoMessage()

func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoReflect 

func (x *BatchReadFeatureValuesRequest_PassThroughField) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesRequest_PassThroughField) Reset 

func (x *BatchReadFeatureValuesRequest_PassThroughField) Reset()

func (*BatchReadFeatureValuesRequest_PassThroughField) String 

func (x *BatchReadFeatureValuesRequest_PassThroughField) String() string

type BatchReadFeatureValuesResponse 

type BatchReadFeatureValuesResponse struct {
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].

func (*BatchReadFeatureValuesResponse) Descriptor 

func (*BatchReadFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesResponse) ProtoMessage 

func (*BatchReadFeatureValuesResponse) ProtoMessage()

func (*BatchReadFeatureValuesResponse) ProtoReflect 

func (x *BatchReadFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesResponse) Reset 

func (x *BatchReadFeatureValuesResponse) Reset()

func (*BatchReadFeatureValuesResponse) String 

func (x *BatchReadFeatureValuesResponse) String() string

type BatchReadTensorboardTimeSeriesDataRequest 

type BatchReadTensorboardTimeSeriesDataRequest struct {

	// Required. The resource name of the Tensorboard containing
	// TensorboardTimeSeries to read data from. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
	// The TensorboardTimeSeries referenced by
	// [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
	// must be sub resources of this Tensorboard.
	Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// Required. The resource names of the TensorboardTimeSeries to read data
	// from. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TimeSeries []string `protobuf:"bytes,2,rep,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].

func (*BatchReadTensorboardTimeSeriesDataRequest) Descriptor 

func (*BatchReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.

func (*BatchReadTensorboardTimeSeriesDataRequest) GetTensorboard 

func (x *BatchReadTensorboardTimeSeriesDataRequest) GetTensorboard() string

func (*BatchReadTensorboardTimeSeriesDataRequest) GetTimeSeries 

func (x *BatchReadTensorboardTimeSeriesDataRequest) GetTimeSeries() []string

func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoMessage 

func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoMessage()

func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoReflect 

func (x *BatchReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message

func (*BatchReadTensorboardTimeSeriesDataRequest) Reset 

func (x *BatchReadTensorboardTimeSeriesDataRequest) Reset()

func (*BatchReadTensorboardTimeSeriesDataRequest) String 

func (x *BatchReadTensorboardTimeSeriesDataRequest) String() string

type BatchReadTensorboardTimeSeriesDataResponse 

type BatchReadTensorboardTimeSeriesDataResponse struct {

	// The returned time series data.
	TimeSeriesData []*TimeSeriesData `protobuf:"bytes,1,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].

func (*BatchReadTensorboardTimeSeriesDataResponse) Descriptor 

func (*BatchReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.

func (*BatchReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData 

func (x *BatchReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() []*TimeSeriesData

func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoMessage 

func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoMessage()

func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoReflect 

func (x *BatchReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message

func (*BatchReadTensorboardTimeSeriesDataResponse) Reset 

func (x *BatchReadTensorboardTimeSeriesDataResponse) Reset()

func (*BatchReadTensorboardTimeSeriesDataResponse) String 

func (x *BatchReadTensorboardTimeSeriesDataResponse) String() string

type BigQueryDestination 

type BigQueryDestination struct {

	// Required. BigQuery URI to a project or table, up to 2000 characters long.
	//
	// When only the project is specified, the Dataset and Table is created.
	// When the full table reference is specified, the Dataset must exist and
	// table must not exist.
	//
	// Accepted forms:
	//
	// *  BigQuery path. For example:
	// `bq://projectId` or `bq://projectId.bqDatasetId` or
	// `bq://projectId.bqDatasetId.bqTableId`.
	OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
	// contains filtered or unexported fields
}

The BigQuery location for the output content.

func (*BigQueryDestination) Descriptor 

func (*BigQueryDestination) Descriptor() ([]byte, []int)

Deprecated: Use BigQueryDestination.ProtoReflect.Descriptor instead.

func (*BigQueryDestination) GetOutputUri 

func (x *BigQueryDestination) GetOutputUri() string

func (*BigQueryDestination) ProtoMessage 

func (*BigQueryDestination) ProtoMessage()

func (*BigQueryDestination) ProtoReflect 

func (x *BigQueryDestination) ProtoReflect() protoreflect.Message

func (*BigQueryDestination) Reset 

func (x *BigQueryDestination) Reset()

func (*BigQueryDestination) String 

func (x *BigQueryDestination) String() string

type BigQuerySource 

type BigQuerySource struct {

	// Required. BigQuery URI to a table, up to 2000 characters long.
	// Accepted forms:
	//
	// *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
	InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri,proto3" json:"input_uri,omitempty"`
	// contains filtered or unexported fields
}

The BigQuery location for the input content.

func (*BigQuerySource) Descriptor 

func (*BigQuerySource) Descriptor() ([]byte, []int)

Deprecated: Use BigQuerySource.ProtoReflect.Descriptor instead.

func (*BigQuerySource) GetInputUri 

func (x *BigQuerySource) GetInputUri() string

func (*BigQuerySource) ProtoMessage 

func (*BigQuerySource) ProtoMessage()

func (*BigQuerySource) ProtoReflect 

func (x *BigQuerySource) ProtoReflect() protoreflect.Message

func (*BigQuerySource) Reset 

func (x *BigQuerySource) Reset()

func (*BigQuerySource) String 

func (x *BigQuerySource) String() string

type BleuInput 

type BleuInput struct {

	// Required. Spec for bleu score metric.
	MetricSpec *BleuSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Repeated bleu instances.
	Instances []*BleuInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// contains filtered or unexported fields
}

Input for bleu metric.

func (*BleuInput) Descriptor 

func (*BleuInput) Descriptor() ([]byte, []int)

Deprecated: Use BleuInput.ProtoReflect.Descriptor instead.

func (*BleuInput) GetInstances 

func (x *BleuInput) GetInstances() []*BleuInstance

func (*BleuInput) GetMetricSpec 

func (x *BleuInput) GetMetricSpec() *BleuSpec

func (*BleuInput) ProtoMessage 

func (*BleuInput) ProtoMessage()

func (*BleuInput) ProtoReflect 

func (x *BleuInput) ProtoReflect() protoreflect.Message

func (*BleuInput) Reset 

func (x *BleuInput) Reset()

func (*BleuInput) String 

func (x *BleuInput) String() string

type BleuInstance 

type BleuInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// contains filtered or unexported fields
}

Spec for bleu instance.

func (*BleuInstance) Descriptor 

func (*BleuInstance) Descriptor() ([]byte, []int)

Deprecated: Use BleuInstance.ProtoReflect.Descriptor instead.

func (*BleuInstance) GetPrediction 

func (x *BleuInstance) GetPrediction() string

func (*BleuInstance) GetReference 

func (x *BleuInstance) GetReference() string

func (*BleuInstance) ProtoMessage 

func (*BleuInstance) ProtoMessage()

func (*BleuInstance) ProtoReflect 

func (x *BleuInstance) ProtoReflect() protoreflect.Message

func (*BleuInstance) Reset 

func (x *BleuInstance) Reset()

func (*BleuInstance) String 

func (x *BleuInstance) String() string

type BleuMetricValue 

type BleuMetricValue struct {

	// Output only. Bleu score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Bleu metric value for an instance.

func (*BleuMetricValue) Descriptor 

func (*BleuMetricValue) Descriptor() ([]byte, []int)

Deprecated: Use BleuMetricValue.ProtoReflect.Descriptor instead.

func (*BleuMetricValue) GetScore 

func (x *BleuMetricValue) GetScore() float32

func (*BleuMetricValue) ProtoMessage 

func (*BleuMetricValue) ProtoMessage()

func (*BleuMetricValue) ProtoReflect 

func (x *BleuMetricValue) ProtoReflect() protoreflect.Message

func (*BleuMetricValue) Reset 

func (x *BleuMetricValue) Reset()

func (*BleuMetricValue) String 

func (x *BleuMetricValue) String() string

type BleuResults 

type BleuResults struct {

	// Output only. Bleu metric values.
	BleuMetricValues []*BleuMetricValue `protobuf:"bytes,1,rep,name=bleu_metric_values,json=bleuMetricValues,proto3" json:"bleu_metric_values,omitempty"`
	// contains filtered or unexported fields
}

Results for bleu metric.

func (*BleuResults) Descriptor 

func (*BleuResults) Descriptor() ([]byte, []int)

Deprecated: Use BleuResults.ProtoReflect.Descriptor instead.

func (*BleuResults) GetBleuMetricValues 

func (x *BleuResults) GetBleuMetricValues() []*BleuMetricValue

func (*BleuResults) ProtoMessage 

func (*BleuResults) ProtoMessage()

func (*BleuResults) ProtoReflect 

func (x *BleuResults) ProtoReflect() protoreflect.Message

func (*BleuResults) Reset 

func (x *BleuResults) Reset()

func (*BleuResults) String 

func (x *BleuResults) String() string

type BleuSpec 

type BleuSpec struct {

	// Optional. Whether to use_effective_order to compute bleu score.
	UseEffectiveOrder bool `protobuf:"varint,1,opt,name=use_effective_order,json=useEffectiveOrder,proto3" json:"use_effective_order,omitempty"`
	// contains filtered or unexported fields
}

Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1.

func (*BleuSpec) Descriptor 

func (*BleuSpec) Descriptor() ([]byte, []int)

Deprecated: Use BleuSpec.ProtoReflect.Descriptor instead.

func (*BleuSpec) GetUseEffectiveOrder 

func (x *BleuSpec) GetUseEffectiveOrder() bool

func (*BleuSpec) ProtoMessage 

func (*BleuSpec) ProtoMessage()

func (*BleuSpec) ProtoReflect 

func (x *BleuSpec) ProtoReflect() protoreflect.Message

func (*BleuSpec) Reset 

func (x *BleuSpec) Reset()

func (*BleuSpec) String 

func (x *BleuSpec) String() string

type Blob 

type Blob struct {

	// Required. The IANA standard MIME type of the source data.
	MimeType string `protobuf:"bytes,1,opt,name=mime_type,json=mimeType,proto3" json:"mime_type,omitempty"`
	// Required. Raw bytes.
	Data []byte `protobuf:"bytes,2,opt,name=data,proto3" json:"data,omitempty"`
	// contains filtered or unexported fields
}

Content blob.

It's preferred to send as [text][google.cloud.aiplatform.v1.Part.text] directly rather than raw bytes.

func (*Blob) Descriptor 

func (*Blob) Descriptor() ([]byte, []int)

Deprecated: Use Blob.ProtoReflect.Descriptor instead.

func (*Blob) GetData 

func (x *Blob) GetData() []byte

func (*Blob) GetMimeType 

func (x *Blob) GetMimeType() string

func (*Blob) ProtoMessage 

func (*Blob) ProtoMessage()

func (*Blob) ProtoReflect 

func (x *Blob) ProtoReflect() protoreflect.Message

func (*Blob) Reset 

func (x *Blob) Reset()

func (*Blob) String 

func (x *Blob) String() string

type BlurBaselineConfig 

type BlurBaselineConfig struct {

	// The standard deviation of the blur kernel for the blurred baseline. The
	// same blurring parameter is used for both the height and the width
	// dimension. If not set, the method defaults to the zero (i.e. black for
	// images) baseline.
	MaxBlurSigma float32 `protobuf:"fixed32,1,opt,name=max_blur_sigma,json=maxBlurSigma,proto3" json:"max_blur_sigma,omitempty"`
	// contains filtered or unexported fields
}

Config for blur baseline.

When enabled, a linear path from the maximally blurred image to the input image is created. Using a blurred baseline instead of zero (black image) is motivated by the BlurIG approach explained here: https://arxiv.org/abs/2004.03383

func (*BlurBaselineConfig) Descriptor 

func (*BlurBaselineConfig) Descriptor() ([]byte, []int)

Deprecated: Use BlurBaselineConfig.ProtoReflect.Descriptor instead.

func (*BlurBaselineConfig) GetMaxBlurSigma 

func (x *BlurBaselineConfig) GetMaxBlurSigma() float32

func (*BlurBaselineConfig) ProtoMessage 

func (*BlurBaselineConfig) ProtoMessage()

func (*BlurBaselineConfig) ProtoReflect 

func (x *BlurBaselineConfig) ProtoReflect() protoreflect.Message

func (*BlurBaselineConfig) Reset 

func (x *BlurBaselineConfig) Reset()

func (*BlurBaselineConfig) String 

func (x *BlurBaselineConfig) String() string

type BoolArray 

type BoolArray struct {

	// A list of bool values.
	Values []bool `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of boolean values.

func (*BoolArray) Descriptor 

func (*BoolArray) Descriptor() ([]byte, []int)

Deprecated: Use BoolArray.ProtoReflect.Descriptor instead.

func (*BoolArray) GetValues 

func (x *BoolArray) GetValues() []bool

func (*BoolArray) ProtoMessage 

func (*BoolArray) ProtoMessage()

func (*BoolArray) ProtoReflect 

func (x *BoolArray) ProtoReflect() protoreflect.Message

func (*BoolArray) Reset 

func (x *BoolArray) Reset()

func (*BoolArray) String 

func (x *BoolArray) String() string

type CachedContent 

type CachedContent struct {

	// Expiration time of the cached content.
	//
	// Types that are assignable to Expiration:
	//
	//	*CachedContent_ExpireTime
	//	*CachedContent_Ttl
	Expiration isCachedContent_Expiration `protobuf_oneof:"expiration"`
	// Immutable. Identifier. The server-generated resource name of the cached
	// content Format:
	// projects/{project}/locations/{location}/cachedContents/{cached_content}
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. Immutable. The user-generated meaningful display name of the
	// cached content.
	DisplayName string `protobuf:"bytes,11,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Immutable. The name of the publisher model to use for cached content.
	// Format:
	// projects/{project}/locations/{location}/publishers/{publisher}/models/{model}
	Model string `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. Input only. Immutable. Developer set system instruction.
	// Currently, text only
	SystemInstruction *Content `protobuf:"bytes,3,opt,name=system_instruction,json=systemInstruction,proto3" json:"system_instruction,omitempty"`
	// Optional. Input only. Immutable. The content to cache
	Contents []*Content `protobuf:"bytes,4,rep,name=contents,proto3" json:"contents,omitempty"`
	// Optional. Input only. Immutable. A list of `Tools` the model may use to
	// generate the next response
	Tools []*Tool `protobuf:"bytes,5,rep,name=tools,proto3" json:"tools,omitempty"`
	// Optional. Input only. Immutable. Tool config. This config is shared for all
	// tools
	ToolConfig *ToolConfig `protobuf:"bytes,6,opt,name=tool_config,json=toolConfig,proto3" json:"tool_config,omitempty"`
	// Output only. Creatation time of the cache entry.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. When the cache entry was last updated in UTC time.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Metadata on the usage of the cached content.
	UsageMetadata *CachedContent_UsageMetadata `protobuf:"bytes,12,opt,name=usage_metadata,json=usageMetadata,proto3" json:"usage_metadata,omitempty"`
	// contains filtered or unexported fields
}

A resource used in LLM queries for users to explicitly specify what to cache and how to cache.

func (*CachedContent) Descriptor 

func (*CachedContent) Descriptor() ([]byte, []int)

Deprecated: Use CachedContent.ProtoReflect.Descriptor instead.

func (*CachedContent) GetContents 

func (x *CachedContent) GetContents() []*Content

func (*CachedContent) GetCreateTime 

func (x *CachedContent) GetCreateTime() *timestamppb.Timestamp

func (*CachedContent) GetDisplayName 

func (x *CachedContent) GetDisplayName() string

func (*CachedContent) GetExpiration 

func (m *CachedContent) GetExpiration() isCachedContent_Expiration

func (*CachedContent) GetExpireTime 

func (x *CachedContent) GetExpireTime() *timestamppb.Timestamp

func (*CachedContent) GetModel 

func (x *CachedContent) GetModel() string

func (*CachedContent) GetName 

func (x *CachedContent) GetName() string

func (*CachedContent) GetSystemInstruction 

func (x *CachedContent) GetSystemInstruction() *Content

func (*CachedContent) GetToolConfig 

func (x *CachedContent) GetToolConfig() *ToolConfig

func (*CachedContent) GetTools 

func (x *CachedContent) GetTools() []*Tool

func (*CachedContent) GetTtl 

func (x *CachedContent) GetTtl() *durationpb.Duration

func (*CachedContent) GetUpdateTime 

func (x *CachedContent) GetUpdateTime() *timestamppb.Timestamp

func (*CachedContent) GetUsageMetadata 

func (x *CachedContent) GetUsageMetadata() *CachedContent_UsageMetadata

func (*CachedContent) ProtoMessage 

func (*CachedContent) ProtoMessage()

func (*CachedContent) ProtoReflect 

func (x *CachedContent) ProtoReflect() protoreflect.Message

func (*CachedContent) Reset 

func (x *CachedContent) Reset()

func (*CachedContent) String 

func (x *CachedContent) String() string

type CachedContent_ExpireTime 

type CachedContent_ExpireTime struct {
	// Timestamp of when this resource is considered expired.
	// This is *always* provided on output, regardless of what was sent
	// on input.
	ExpireTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=expire_time,json=expireTime,proto3,oneof"`
}

type CachedContent_Ttl 

type CachedContent_Ttl struct {
	// Input only. The TTL for this resource. The expiration time is computed:
	// now + TTL.
	Ttl *durationpb.Duration `protobuf:"bytes,10,opt,name=ttl,proto3,oneof"`
}

type CachedContent_UsageMetadata 

type CachedContent_UsageMetadata struct {

	// Total number of tokens that the cached content consumes.
	TotalTokenCount int32 `protobuf:"varint,1,opt,name=total_token_count,json=totalTokenCount,proto3" json:"total_token_count,omitempty"`
	// Number of text characters.
	TextCount int32 `protobuf:"varint,2,opt,name=text_count,json=textCount,proto3" json:"text_count,omitempty"`
	// Number of images.
	ImageCount int32 `protobuf:"varint,3,opt,name=image_count,json=imageCount,proto3" json:"image_count,omitempty"`
	// Duration of video in seconds.
	VideoDurationSeconds int32 `protobuf:"varint,4,opt,name=video_duration_seconds,json=videoDurationSeconds,proto3" json:"video_duration_seconds,omitempty"`
	// Duration of audio in seconds.
	AudioDurationSeconds int32 `protobuf:"varint,5,opt,name=audio_duration_seconds,json=audioDurationSeconds,proto3" json:"audio_duration_seconds,omitempty"`
	// contains filtered or unexported fields
}

Metadata on the usage of the cached content.

func (*CachedContent_UsageMetadata) Descriptor 

func (*CachedContent_UsageMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CachedContent_UsageMetadata.ProtoReflect.Descriptor instead.

func (*CachedContent_UsageMetadata) GetAudioDurationSeconds 

func (x *CachedContent_UsageMetadata) GetAudioDurationSeconds() int32

func (*CachedContent_UsageMetadata) GetImageCount 

func (x *CachedContent_UsageMetadata) GetImageCount() int32

func (*CachedContent_UsageMetadata) GetTextCount 

func (x *CachedContent_UsageMetadata) GetTextCount() int32

func (*CachedContent_UsageMetadata) GetTotalTokenCount 

func (x *CachedContent_UsageMetadata) GetTotalTokenCount() int32

func (*CachedContent_UsageMetadata) GetVideoDurationSeconds 

func (x *CachedContent_UsageMetadata) GetVideoDurationSeconds() int32

func (*CachedContent_UsageMetadata) ProtoMessage 

func (*CachedContent_UsageMetadata) ProtoMessage()

func (*CachedContent_UsageMetadata) ProtoReflect 

func (x *CachedContent_UsageMetadata) ProtoReflect() protoreflect.Message

func (*CachedContent_UsageMetadata) Reset 

func (x *CachedContent_UsageMetadata) Reset()

func (*CachedContent_UsageMetadata) String 

func (x *CachedContent_UsageMetadata) String() string

type CancelBatchPredictionJobRequest 

type CancelBatchPredictionJobRequest struct {

	// Required. The name of the BatchPredictionJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].

func (*CancelBatchPredictionJobRequest) Descriptor 

func (*CancelBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*CancelBatchPredictionJobRequest) GetName 

func (x *CancelBatchPredictionJobRequest) GetName() string

func (*CancelBatchPredictionJobRequest) ProtoMessage 

func (*CancelBatchPredictionJobRequest) ProtoMessage()

func (*CancelBatchPredictionJobRequest) ProtoReflect 

func (x *CancelBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*CancelBatchPredictionJobRequest) Reset 

func (x *CancelBatchPredictionJobRequest) Reset()

func (*CancelBatchPredictionJobRequest) String 

func (x *CancelBatchPredictionJobRequest) String() string

type CancelCustomJobRequest 

type CancelCustomJobRequest struct {

	// Required. The name of the CustomJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].

func (*CancelCustomJobRequest) Descriptor 

func (*CancelCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelCustomJobRequest.ProtoReflect.Descriptor instead.

func (*CancelCustomJobRequest) GetName 

func (x *CancelCustomJobRequest) GetName() string

func (*CancelCustomJobRequest) ProtoMessage 

func (*CancelCustomJobRequest) ProtoMessage()

func (*CancelCustomJobRequest) ProtoReflect 

func (x *CancelCustomJobRequest) ProtoReflect() protoreflect.Message

func (*CancelCustomJobRequest) Reset 

func (x *CancelCustomJobRequest) Reset()

func (*CancelCustomJobRequest) String 

func (x *CancelCustomJobRequest) String() string

type CancelDataLabelingJobRequest 

type CancelDataLabelingJobRequest struct {

	// Required. The name of the DataLabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].

func (*CancelDataLabelingJobRequest) Descriptor 

func (*CancelDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*CancelDataLabelingJobRequest) GetName 

func (x *CancelDataLabelingJobRequest) GetName() string

func (*CancelDataLabelingJobRequest) ProtoMessage 

func (*CancelDataLabelingJobRequest) ProtoMessage()

func (*CancelDataLabelingJobRequest) ProtoReflect 

func (x *CancelDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*CancelDataLabelingJobRequest) Reset 

func (x *CancelDataLabelingJobRequest) Reset()

func (*CancelDataLabelingJobRequest) String 

func (x *CancelDataLabelingJobRequest) String() string

type CancelHyperparameterTuningJobRequest 

type CancelHyperparameterTuningJobRequest struct {

	// Required. The name of the HyperparameterTuningJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].

func (*CancelHyperparameterTuningJobRequest) Descriptor 

func (*CancelHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*CancelHyperparameterTuningJobRequest) GetName 

func (x *CancelHyperparameterTuningJobRequest) GetName() string

func (*CancelHyperparameterTuningJobRequest) ProtoMessage 

func (*CancelHyperparameterTuningJobRequest) ProtoMessage()

func (*CancelHyperparameterTuningJobRequest) ProtoReflect 

func (x *CancelHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*CancelHyperparameterTuningJobRequest) Reset 

func (x *CancelHyperparameterTuningJobRequest) Reset()

func (*CancelHyperparameterTuningJobRequest) String 

func (x *CancelHyperparameterTuningJobRequest) String() string

type CancelNasJobRequest 

type CancelNasJobRequest struct {

	// Required. The name of the NasJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelNasJob][google.cloud.aiplatform.v1.JobService.CancelNasJob].

func (*CancelNasJobRequest) Descriptor 

func (*CancelNasJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelNasJobRequest.ProtoReflect.Descriptor instead.

func (*CancelNasJobRequest) GetName 

func (x *CancelNasJobRequest) GetName() string

func (*CancelNasJobRequest) ProtoMessage 

func (*CancelNasJobRequest) ProtoMessage()

func (*CancelNasJobRequest) ProtoReflect 

func (x *CancelNasJobRequest) ProtoReflect() protoreflect.Message

func (*CancelNasJobRequest) Reset 

func (x *CancelNasJobRequest) Reset()

func (*CancelNasJobRequest) String 

func (x *CancelNasJobRequest) String() string

type CancelPipelineJobRequest 

type CancelPipelineJobRequest struct {

	// Required. The name of the PipelineJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].

func (*CancelPipelineJobRequest) Descriptor 

func (*CancelPipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelPipelineJobRequest.ProtoReflect.Descriptor instead.

func (*CancelPipelineJobRequest) GetName 

func (x *CancelPipelineJobRequest) GetName() string

func (*CancelPipelineJobRequest) ProtoMessage 

func (*CancelPipelineJobRequest) ProtoMessage()

func (*CancelPipelineJobRequest) ProtoReflect 

func (x *CancelPipelineJobRequest) ProtoReflect() protoreflect.Message

func (*CancelPipelineJobRequest) Reset 

func (x *CancelPipelineJobRequest) Reset()

func (*CancelPipelineJobRequest) String 

func (x *CancelPipelineJobRequest) String() string

type CancelTrainingPipelineRequest 

type CancelTrainingPipelineRequest struct {

	// Required. The name of the TrainingPipeline to cancel.
	// Format:
	// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].

func (*CancelTrainingPipelineRequest) Descriptor 

func (*CancelTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*CancelTrainingPipelineRequest) GetName 

func (x *CancelTrainingPipelineRequest) GetName() string

func (*CancelTrainingPipelineRequest) ProtoMessage 

func (*CancelTrainingPipelineRequest) ProtoMessage()

func (*CancelTrainingPipelineRequest) ProtoReflect 

func (x *CancelTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*CancelTrainingPipelineRequest) Reset 

func (x *CancelTrainingPipelineRequest) Reset()

func (*CancelTrainingPipelineRequest) String 

func (x *CancelTrainingPipelineRequest) String() string

type CancelTuningJobRequest 

type CancelTuningJobRequest struct {

	// Required. The name of the TuningJob to cancel. Format:
	// `projects/{project}/locations/{location}/tuningJobs/{tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [GenAiTuningService.CancelTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CancelTuningJob].

func (*CancelTuningJobRequest) Descriptor 

func (*CancelTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelTuningJobRequest.ProtoReflect.Descriptor instead.

func (*CancelTuningJobRequest) GetName 

func (x *CancelTuningJobRequest) GetName() string

func (*CancelTuningJobRequest) ProtoMessage 

func (*CancelTuningJobRequest) ProtoMessage()

func (*CancelTuningJobRequest) ProtoReflect 

func (x *CancelTuningJobRequest) ProtoReflect() protoreflect.Message

func (*CancelTuningJobRequest) Reset 

func (x *CancelTuningJobRequest) Reset()

func (*CancelTuningJobRequest) String 

func (x *CancelTuningJobRequest) String() string

type Candidate 

type Candidate struct {

	// Output only. Index of the candidate.
	Index int32 `protobuf:"varint,1,opt,name=index,proto3" json:"index,omitempty"`
	// Output only. Content parts of the candidate.
	Content *Content `protobuf:"bytes,2,opt,name=content,proto3" json:"content,omitempty"`
	// Output only. Confidence score of the candidate.
	Score float64 `protobuf:"fixed64,8,opt,name=score,proto3" json:"score,omitempty"`
	// Output only. Average log probability score of the candidate.
	AvgLogprobs float64 `protobuf:"fixed64,9,opt,name=avg_logprobs,json=avgLogprobs,proto3" json:"avg_logprobs,omitempty"`
	// Output only. Log-likelihood scores for the response tokens and top tokens
	LogprobsResult *LogprobsResult `protobuf:"bytes,10,opt,name=logprobs_result,json=logprobsResult,proto3" json:"logprobs_result,omitempty"`
	// Output only. The reason why the model stopped generating tokens.
	// If empty, the model has not stopped generating the tokens.
	FinishReason Candidate_FinishReason `protobuf:"varint,3,opt,name=finish_reason,json=finishReason,proto3,enum=google.cloud.aiplatform.v1.Candidate_FinishReason" json:"finish_reason,omitempty"`
	// Output only. List of ratings for the safety of a response candidate.
	//
	// There is at most one rating per category.
	SafetyRatings []*SafetyRating `protobuf:"bytes,4,rep,name=safety_ratings,json=safetyRatings,proto3" json:"safety_ratings,omitempty"`
	// Output only. Describes the reason the mode stopped generating tokens in
	// more detail. This is only filled when `finish_reason` is set.
	FinishMessage *string `protobuf:"bytes,5,opt,name=finish_message,json=finishMessage,proto3,oneof" json:"finish_message,omitempty"`
	// Output only. Source attribution of the generated content.
	CitationMetadata *CitationMetadata `protobuf:"bytes,6,opt,name=citation_metadata,json=citationMetadata,proto3" json:"citation_metadata,omitempty"`
	// Output only. Metadata specifies sources used to ground generated content.
	GroundingMetadata *GroundingMetadata `protobuf:"bytes,7,opt,name=grounding_metadata,json=groundingMetadata,proto3" json:"grounding_metadata,omitempty"`
	// contains filtered or unexported fields
}

A response candidate generated from the model.

func (*Candidate) Descriptor 

func (*Candidate) Descriptor() ([]byte, []int)

Deprecated: Use Candidate.ProtoReflect.Descriptor instead.

func (*Candidate) GetAvgLogprobs 

func (x *Candidate) GetAvgLogprobs() float64

func (*Candidate) GetCitationMetadata 

func (x *Candidate) GetCitationMetadata() *CitationMetadata

func (*Candidate) GetContent 

func (x *Candidate) GetContent() *Content

func (*Candidate) GetFinishMessage 

func (x *Candidate) GetFinishMessage() string

func (*Candidate) GetFinishReason 

func (x *Candidate) GetFinishReason() Candidate_FinishReason

func (*Candidate) GetGroundingMetadata 

func (x *Candidate) GetGroundingMetadata() *GroundingMetadata

func (*Candidate) GetIndex 

func (x *Candidate) GetIndex() int32

func (*Candidate) GetLogprobsResult 

func (x *Candidate) GetLogprobsResult() *LogprobsResult

func (*Candidate) GetSafetyRatings 

func (x *Candidate) GetSafetyRatings() []*SafetyRating

func (*Candidate) GetScore 

func (x *Candidate) GetScore() float64

func (*Candidate) ProtoMessage 

func (*Candidate) ProtoMessage()

func (*Candidate) ProtoReflect 

func (x *Candidate) ProtoReflect() protoreflect.Message

func (*Candidate) Reset 

func (x *Candidate) Reset()

func (*Candidate) String 

func (x *Candidate) String() string

type Candidate_FinishReason 

type Candidate_FinishReason int32

The reason why the model stopped generating tokens. If empty, the model has not stopped generating the tokens. 

const (
	// The finish reason is unspecified.
	Candidate_FINISH_REASON_UNSPECIFIED Candidate_FinishReason = 0
	// Token generation reached a natural stopping point or a configured stop
	// sequence.
	Candidate_STOP Candidate_FinishReason = 1
	// Token generation reached the configured maximum output tokens.
	Candidate_MAX_TOKENS Candidate_FinishReason = 2
	// Token generation stopped because the content potentially contains safety
	// violations. NOTE: When streaming,
	// [content][google.cloud.aiplatform.v1.Candidate.content] is empty if
	// content filters blocks the output.
	Candidate_SAFETY Candidate_FinishReason = 3
	// Token generation stopped because the content potentially contains
	// copyright violations.
	Candidate_RECITATION Candidate_FinishReason = 4
	// All other reasons that stopped the token generation.
	Candidate_OTHER Candidate_FinishReason = 5
	// Token generation stopped because the content contains forbidden terms.
	Candidate_BLOCKLIST Candidate_FinishReason = 6
	// Token generation stopped for potentially containing prohibited content.
	Candidate_PROHIBITED_CONTENT Candidate_FinishReason = 7
	// Token generation stopped because the content potentially contains
	// Sensitive Personally Identifiable Information (SPII).
	Candidate_SPII Candidate_FinishReason = 8
	// The function call generated by the model is invalid.
	Candidate_MALFORMED_FUNCTION_CALL Candidate_FinishReason = 9
)

func (Candidate_FinishReason) Descriptor 

func (Candidate_FinishReason) Descriptor() protoreflect.EnumDescriptor

func (Candidate_FinishReason) Enum 

func (x Candidate_FinishReason) Enum() *Candidate_FinishReason

func (Candidate_FinishReason) EnumDescriptor 

func (Candidate_FinishReason) EnumDescriptor() ([]byte, []int)

Deprecated: Use Candidate_FinishReason.Descriptor instead.

func (Candidate_FinishReason) Number 

func (x Candidate_FinishReason) Number() protoreflect.EnumNumber

func (Candidate_FinishReason) String 

func (x Candidate_FinishReason) String() string

func (Candidate_FinishReason) Type 

func (Candidate_FinishReason) Type() protoreflect.EnumType

type CheckTrialEarlyStoppingStateMetatdata 

type CheckTrialEarlyStoppingStateMetatdata struct {

	// Operation metadata for suggesting Trials.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The name of the Study that the Trial belongs to.
	Study string `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"`
	// The Trial name.
	Trial string `protobuf:"bytes,3,opt,name=trial,proto3" json:"trial,omitempty"`
	// contains filtered or unexported fields
}

This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.

func (*CheckTrialEarlyStoppingStateMetatdata) Descriptor 

func (*CheckTrialEarlyStoppingStateMetatdata) Descriptor() ([]byte, []int)

Deprecated: Use CheckTrialEarlyStoppingStateMetatdata.ProtoReflect.Descriptor instead.

func (*CheckTrialEarlyStoppingStateMetatdata) GetGenericMetadata 

func (x *CheckTrialEarlyStoppingStateMetatdata) GetGenericMetadata() *GenericOperationMetadata

func (*CheckTrialEarlyStoppingStateMetatdata) GetStudy 

func (x *CheckTrialEarlyStoppingStateMetatdata) GetStudy() string

func (*CheckTrialEarlyStoppingStateMetatdata) GetTrial 

func (x *CheckTrialEarlyStoppingStateMetatdata) GetTrial() string

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage 

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage()

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoReflect 

func (x *CheckTrialEarlyStoppingStateMetatdata) ProtoReflect() protoreflect.Message

func (*CheckTrialEarlyStoppingStateMetatdata) Reset 

func (x *CheckTrialEarlyStoppingStateMetatdata) Reset()

func (*CheckTrialEarlyStoppingStateMetatdata) String 

func (x *CheckTrialEarlyStoppingStateMetatdata) String() string

type CheckTrialEarlyStoppingStateRequest 

type CheckTrialEarlyStoppingStateRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].

func (*CheckTrialEarlyStoppingStateRequest) Descriptor 

func (*CheckTrialEarlyStoppingStateRequest) Descriptor() ([]byte, []int)

Deprecated: Use CheckTrialEarlyStoppingStateRequest.ProtoReflect.Descriptor instead.

func (*CheckTrialEarlyStoppingStateRequest) GetTrialName 

func (x *CheckTrialEarlyStoppingStateRequest) GetTrialName() string

func (*CheckTrialEarlyStoppingStateRequest) ProtoMessage 

func (*CheckTrialEarlyStoppingStateRequest) ProtoMessage()

func (*CheckTrialEarlyStoppingStateRequest) ProtoReflect 

func (x *CheckTrialEarlyStoppingStateRequest) ProtoReflect() protoreflect.Message

func (*CheckTrialEarlyStoppingStateRequest) Reset 

func (x *CheckTrialEarlyStoppingStateRequest) Reset()

func (*CheckTrialEarlyStoppingStateRequest) String 

func (x *CheckTrialEarlyStoppingStateRequest) String() string

type CheckTrialEarlyStoppingStateResponse 

type CheckTrialEarlyStoppingStateResponse struct {

	// True if the Trial should stop.
	ShouldStop bool `protobuf:"varint,1,opt,name=should_stop,json=shouldStop,proto3" json:"should_stop,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].

func (*CheckTrialEarlyStoppingStateResponse) Descriptor 

func (*CheckTrialEarlyStoppingStateResponse) Descriptor() ([]byte, []int)

Deprecated: Use CheckTrialEarlyStoppingStateResponse.ProtoReflect.Descriptor instead.

func (*CheckTrialEarlyStoppingStateResponse) GetShouldStop 

func (x *CheckTrialEarlyStoppingStateResponse) GetShouldStop() bool

func (*CheckTrialEarlyStoppingStateResponse) ProtoMessage 

func (*CheckTrialEarlyStoppingStateResponse) ProtoMessage()

func (*CheckTrialEarlyStoppingStateResponse) ProtoReflect 

func (x *CheckTrialEarlyStoppingStateResponse) ProtoReflect() protoreflect.Message

func (*CheckTrialEarlyStoppingStateResponse) Reset 

func (x *CheckTrialEarlyStoppingStateResponse) Reset()

func (*CheckTrialEarlyStoppingStateResponse) String 

func (x *CheckTrialEarlyStoppingStateResponse) String() string

type Citation 

type Citation struct {

	// Output only. Start index into the content.
	StartIndex int32 `protobuf:"varint,1,opt,name=start_index,json=startIndex,proto3" json:"start_index,omitempty"`
	// Output only. End index into the content.
	EndIndex int32 `protobuf:"varint,2,opt,name=end_index,json=endIndex,proto3" json:"end_index,omitempty"`
	// Output only. Url reference of the attribution.
	Uri string `protobuf:"bytes,3,opt,name=uri,proto3" json:"uri,omitempty"`
	// Output only. Title of the attribution.
	Title string `protobuf:"bytes,4,opt,name=title,proto3" json:"title,omitempty"`
	// Output only. License of the attribution.
	License string `protobuf:"bytes,5,opt,name=license,proto3" json:"license,omitempty"`
	// Output only. Publication date of the attribution.
	PublicationDate *date.Date `protobuf:"bytes,6,opt,name=publication_date,json=publicationDate,proto3" json:"publication_date,omitempty"`
	// contains filtered or unexported fields
}

Source attributions for content.

func (*Citation) Descriptor 

func (*Citation) Descriptor() ([]byte, []int)

Deprecated: Use Citation.ProtoReflect.Descriptor instead.

func (*Citation) GetEndIndex 

func (x *Citation) GetEndIndex() int32

func (*Citation) GetLicense 

func (x *Citation) GetLicense() string

func (*Citation) GetPublicationDate 

func (x *Citation) GetPublicationDate() *date.Date

func (*Citation) GetStartIndex 

func (x *Citation) GetStartIndex() int32

func (*Citation) GetTitle 

func (x *Citation) GetTitle() string

func (*Citation) GetUri 

func (x *Citation) GetUri() string

func (*Citation) ProtoMessage 

func (*Citation) ProtoMessage()

func (*Citation) ProtoReflect 

func (x *Citation) ProtoReflect() protoreflect.Message

func (*Citation) Reset 

func (x *Citation) Reset()

func (*Citation) String 

func (x *Citation) String() string

type CitationMetadata 

type CitationMetadata struct {

	// Output only. List of citations.
	Citations []*Citation `protobuf:"bytes,1,rep,name=citations,proto3" json:"citations,omitempty"`
	// contains filtered or unexported fields
}

A collection of source attributions for a piece of content.

func (*CitationMetadata) Descriptor 

func (*CitationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CitationMetadata.ProtoReflect.Descriptor instead.

func (*CitationMetadata) GetCitations 

func (x *CitationMetadata) GetCitations() []*Citation

func (*CitationMetadata) ProtoMessage 

func (*CitationMetadata) ProtoMessage()

func (*CitationMetadata) ProtoReflect 

func (x *CitationMetadata) ProtoReflect() protoreflect.Message

func (*CitationMetadata) Reset 

func (x *CitationMetadata) Reset()

func (*CitationMetadata) String 

func (x *CitationMetadata) String() string

type Claim 

type Claim struct {

	// Index in the input text where the claim starts (inclusive).
	StartIndex *int32 `protobuf:"varint,1,opt,name=start_index,json=startIndex,proto3,oneof" json:"start_index,omitempty"`
	// Index in the input text where the claim ends (exclusive).
	EndIndex *int32 `protobuf:"varint,2,opt,name=end_index,json=endIndex,proto3,oneof" json:"end_index,omitempty"`
	// Indexes of the facts supporting this claim.
	FactIndexes []int32 `protobuf:"varint,3,rep,packed,name=fact_indexes,json=factIndexes,proto3" json:"fact_indexes,omitempty"`
	// Confidence score of this corroboration.
	Score *float32 `protobuf:"fixed32,4,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Claim that is extracted from the input text and facts that support it.

func (*Claim) Descriptor 

func (*Claim) Descriptor() ([]byte, []int)

Deprecated: Use Claim.ProtoReflect.Descriptor instead.

func (*Claim) GetEndIndex 

func (x *Claim) GetEndIndex() int32

func (*Claim) GetFactIndexes 

func (x *Claim) GetFactIndexes() []int32

func (*Claim) GetScore 

func (x *Claim) GetScore() float32

func (*Claim) GetStartIndex 

func (x *Claim) GetStartIndex() int32

func (*Claim) ProtoMessage 

func (*Claim) ProtoMessage()

func (*Claim) ProtoReflect 

func (x *Claim) ProtoReflect() protoreflect.Message

func (*Claim) Reset 

func (x *Claim) Reset()

func (*Claim) String 

func (x *Claim) String() string

type ClientConnectionConfig 

type ClientConnectionConfig struct {

	// Customizable online prediction request timeout.
	InferenceTimeout *durationpb.Duration `protobuf:"bytes,1,opt,name=inference_timeout,json=inferenceTimeout,proto3" json:"inference_timeout,omitempty"`
	// contains filtered or unexported fields
}

Configurations (e.g. inference timeout) that are applied on your endpoints.

func (*ClientConnectionConfig) Descriptor 

func (*ClientConnectionConfig) Descriptor() ([]byte, []int)

Deprecated: Use ClientConnectionConfig.ProtoReflect.Descriptor instead.

func (*ClientConnectionConfig) GetInferenceTimeout 

func (x *ClientConnectionConfig) GetInferenceTimeout() *durationpb.Duration

func (*ClientConnectionConfig) ProtoMessage 

func (*ClientConnectionConfig) ProtoMessage()

func (*ClientConnectionConfig) ProtoReflect 

func (x *ClientConnectionConfig) ProtoReflect() protoreflect.Message

func (*ClientConnectionConfig) Reset 

func (x *ClientConnectionConfig) Reset()

func (*ClientConnectionConfig) String 

func (x *ClientConnectionConfig) String() string

type CodeExecutionResult 

type CodeExecutionResult struct {

	// Required. Outcome of the code execution.
	Outcome CodeExecutionResult_Outcome `protobuf:"varint,1,opt,name=outcome,proto3,enum=google.cloud.aiplatform.v1.CodeExecutionResult_Outcome" json:"outcome,omitempty"`
	// Optional. Contains stdout when code execution is successful, stderr or
	// other description otherwise.
	Output string `protobuf:"bytes,2,opt,name=output,proto3" json:"output,omitempty"`
	// contains filtered or unexported fields
}

Result of executing the ExecutableCode.

Always follows a `part` containing the ExecutableCode.

func (*CodeExecutionResult) Descriptor 

func (*CodeExecutionResult) Descriptor() ([]byte, []int)

Deprecated: Use CodeExecutionResult.ProtoReflect.Descriptor instead.

func (*CodeExecutionResult) GetOutcome 

func (x *CodeExecutionResult) GetOutcome() CodeExecutionResult_Outcome

func (*CodeExecutionResult) GetOutput 

func (x *CodeExecutionResult) GetOutput() string

func (*CodeExecutionResult) ProtoMessage 

func (*CodeExecutionResult) ProtoMessage()

func (*CodeExecutionResult) ProtoReflect 

func (x *CodeExecutionResult) ProtoReflect() protoreflect.Message

func (*CodeExecutionResult) Reset 

func (x *CodeExecutionResult) Reset()

func (*CodeExecutionResult) String 

func (x *CodeExecutionResult) String() string

type CodeExecutionResult_Outcome 

type CodeExecutionResult_Outcome int32

Enumeration of possible outcomes of the code execution. 

const (
	// Unspecified status. This value should not be used.
	CodeExecutionResult_OUTCOME_UNSPECIFIED CodeExecutionResult_Outcome = 0
	// Code execution completed successfully.
	CodeExecutionResult_OUTCOME_OK CodeExecutionResult_Outcome = 1
	// Code execution finished but with a failure. `stderr` should contain the
	// reason.
	CodeExecutionResult_OUTCOME_FAILED CodeExecutionResult_Outcome = 2
	// Code execution ran for too long, and was cancelled. There may or may not
	// be a partial output present.
	CodeExecutionResult_OUTCOME_DEADLINE_EXCEEDED CodeExecutionResult_Outcome = 3
)

func (CodeExecutionResult_Outcome) Descriptor 

func (CodeExecutionResult_Outcome) Descriptor() protoreflect.EnumDescriptor

func (CodeExecutionResult_Outcome) Enum 

func (x CodeExecutionResult_Outcome) Enum() *CodeExecutionResult_Outcome

func (CodeExecutionResult_Outcome) EnumDescriptor 

func (CodeExecutionResult_Outcome) EnumDescriptor() ([]byte, []int)

Deprecated: Use CodeExecutionResult_Outcome.Descriptor instead.

func (CodeExecutionResult_Outcome) Number 

func (x CodeExecutionResult_Outcome) Number() protoreflect.EnumNumber

func (CodeExecutionResult_Outcome) String 

func (x CodeExecutionResult_Outcome) String() string

func (CodeExecutionResult_Outcome) Type 

func (CodeExecutionResult_Outcome) Type() protoreflect.EnumType

type CoherenceInput 

type CoherenceInput struct {

	// Required. Spec for coherence score metric.
	MetricSpec *CoherenceSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Coherence instance.
	Instance *CoherenceInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for coherence metric.

func (*CoherenceInput) Descriptor 

func (*CoherenceInput) Descriptor() ([]byte, []int)

Deprecated: Use CoherenceInput.ProtoReflect.Descriptor instead.

func (*CoherenceInput) GetInstance 

func (x *CoherenceInput) GetInstance() *CoherenceInstance

func (*CoherenceInput) GetMetricSpec 

func (x *CoherenceInput) GetMetricSpec() *CoherenceSpec

func (*CoherenceInput) ProtoMessage 

func (*CoherenceInput) ProtoMessage()

func (*CoherenceInput) ProtoReflect 

func (x *CoherenceInput) ProtoReflect() protoreflect.Message

func (*CoherenceInput) Reset 

func (x *CoherenceInput) Reset()

func (*CoherenceInput) String 

func (x *CoherenceInput) String() string

type CoherenceInstance 

type CoherenceInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// contains filtered or unexported fields
}

Spec for coherence instance.

func (*CoherenceInstance) Descriptor 

func (*CoherenceInstance) Descriptor() ([]byte, []int)

Deprecated: Use CoherenceInstance.ProtoReflect.Descriptor instead.

func (*CoherenceInstance) GetPrediction 

func (x *CoherenceInstance) GetPrediction() string

func (*CoherenceInstance) ProtoMessage 

func (*CoherenceInstance) ProtoMessage()

func (*CoherenceInstance) ProtoReflect 

func (x *CoherenceInstance) ProtoReflect() protoreflect.Message

func (*CoherenceInstance) Reset 

func (x *CoherenceInstance) Reset()

func (*CoherenceInstance) String 

func (x *CoherenceInstance) String() string

type CoherenceResult 

type CoherenceResult struct {

	// Output only. Coherence score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for coherence score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for coherence score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for coherence result.

func (*CoherenceResult) Descriptor 

func (*CoherenceResult) Descriptor() ([]byte, []int)

Deprecated: Use CoherenceResult.ProtoReflect.Descriptor instead.

func (*CoherenceResult) GetConfidence 

func (x *CoherenceResult) GetConfidence() float32

func (*CoherenceResult) GetExplanation 

func (x *CoherenceResult) GetExplanation() string

func (*CoherenceResult) GetScore 

func (x *CoherenceResult) GetScore() float32

func (*CoherenceResult) ProtoMessage 

func (*CoherenceResult) ProtoMessage()

func (*CoherenceResult) ProtoReflect 

func (x *CoherenceResult) ProtoReflect() protoreflect.Message

func (*CoherenceResult) Reset 

func (x *CoherenceResult) Reset()

func (*CoherenceResult) String 

func (x *CoherenceResult) String() string

type CoherenceSpec 

type CoherenceSpec struct {

	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for coherence score metric.

func (*CoherenceSpec) Descriptor 

func (*CoherenceSpec) Descriptor() ([]byte, []int)

Deprecated: Use CoherenceSpec.ProtoReflect.Descriptor instead.

func (*CoherenceSpec) GetVersion 

func (x *CoherenceSpec) GetVersion() int32

func (*CoherenceSpec) ProtoMessage 

func (*CoherenceSpec) ProtoMessage()

func (*CoherenceSpec) ProtoReflect 

func (x *CoherenceSpec) ProtoReflect() protoreflect.Message

func (*CoherenceSpec) Reset 

func (x *CoherenceSpec) Reset()

func (*CoherenceSpec) String 

func (x *CoherenceSpec) String() string

type CometInput 

type CometInput struct {

	// Required. Spec for comet metric.
	MetricSpec *CometSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Comet instance.
	Instance *CometInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for Comet metric.

func (*CometInput) Descriptor 

func (*CometInput) Descriptor() ([]byte, []int)

Deprecated: Use CometInput.ProtoReflect.Descriptor instead.

func (*CometInput) GetInstance 

func (x *CometInput) GetInstance() *CometInstance

func (*CometInput) GetMetricSpec 

func (x *CometInput) GetMetricSpec() *CometSpec

func (*CometInput) ProtoMessage 

func (*CometInput) ProtoMessage()

func (*CometInput) ProtoReflect 

func (x *CometInput) ProtoReflect() protoreflect.Message

func (*CometInput) Reset 

func (x *CometInput) Reset()

func (*CometInput) String 

func (x *CometInput) String() string

type CometInstance 

type CometInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Optional. Source text in original language.
	Source *string `protobuf:"bytes,3,opt,name=source,proto3,oneof" json:"source,omitempty"`
	// contains filtered or unexported fields
}

Spec for Comet instance - The fields used for evaluation are dependent on the comet version.

func (*CometInstance) Descriptor 

func (*CometInstance) Descriptor() ([]byte, []int)

Deprecated: Use CometInstance.ProtoReflect.Descriptor instead.

func (*CometInstance) GetPrediction 

func (x *CometInstance) GetPrediction() string

func (*CometInstance) GetReference 

func (x *CometInstance) GetReference() string

func (*CometInstance) GetSource 

func (x *CometInstance) GetSource() string

func (*CometInstance) ProtoMessage 

func (*CometInstance) ProtoMessage()

func (*CometInstance) ProtoReflect 

func (x *CometInstance) ProtoReflect() protoreflect.Message

func (*CometInstance) Reset 

func (x *CometInstance) Reset()

func (*CometInstance) String 

func (x *CometInstance) String() string

type CometResult 

type CometResult struct {

	// Output only. Comet score. Range depends on version.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Spec for Comet result - calculates the comet score for the given instance using the version specified in the spec.

func (*CometResult) Descriptor 

func (*CometResult) Descriptor() ([]byte, []int)

Deprecated: Use CometResult.ProtoReflect.Descriptor instead.

func (*CometResult) GetScore 

func (x *CometResult) GetScore() float32

func (*CometResult) ProtoMessage 

func (*CometResult) ProtoMessage()

func (*CometResult) ProtoReflect 

func (x *CometResult) ProtoReflect() protoreflect.Message

func (*CometResult) Reset 

func (x *CometResult) Reset()

func (*CometResult) String 

func (x *CometResult) String() string

type CometSpec 

type CometSpec struct {

	// Required. Which version to use for evaluation.
	Version *CometSpec_CometVersion `protobuf:"varint,1,opt,name=version,proto3,enum=google.cloud.aiplatform.v1.CometSpec_CometVersion,oneof" json:"version,omitempty"`
	// Optional. Source language in BCP-47 format.
	SourceLanguage string `protobuf:"bytes,2,opt,name=source_language,json=sourceLanguage,proto3" json:"source_language,omitempty"`
	// Optional. Target language in BCP-47 format. Covers both prediction and
	// reference.
	TargetLanguage string `protobuf:"bytes,3,opt,name=target_language,json=targetLanguage,proto3" json:"target_language,omitempty"`
	// contains filtered or unexported fields
}

Spec for Comet metric.

func (*CometSpec) Descriptor 

func (*CometSpec) Descriptor() ([]byte, []int)

Deprecated: Use CometSpec.ProtoReflect.Descriptor instead.

func (*CometSpec) GetSourceLanguage 

func (x *CometSpec) GetSourceLanguage() string

func (*CometSpec) GetTargetLanguage 

func (x *CometSpec) GetTargetLanguage() string

func (*CometSpec) GetVersion 

func (x *CometSpec) GetVersion() CometSpec_CometVersion

func (*CometSpec) ProtoMessage 

func (*CometSpec) ProtoMessage()

func (*CometSpec) ProtoReflect 

func (x *CometSpec) ProtoReflect() protoreflect.Message

func (*CometSpec) Reset 

func (x *CometSpec) Reset()

func (*CometSpec) String 

func (x *CometSpec) String() string

type CometSpec_CometVersion 

type CometSpec_CometVersion int32

Comet version options. 

const (
	// Comet version unspecified.
	CometSpec_COMET_VERSION_UNSPECIFIED CometSpec_CometVersion = 0
	// Comet 22 for translation + source + reference
	// (source-reference-combined).
	CometSpec_COMET_22_SRC_REF CometSpec_CometVersion = 2
)

func (CometSpec_CometVersion) Descriptor 

func (CometSpec_CometVersion) Descriptor() protoreflect.EnumDescriptor

func (CometSpec_CometVersion) Enum 

func (x CometSpec_CometVersion) Enum() *CometSpec_CometVersion

func (CometSpec_CometVersion) EnumDescriptor 

func (CometSpec_CometVersion) EnumDescriptor() ([]byte, []int)

Deprecated: Use CometSpec_CometVersion.Descriptor instead.

func (CometSpec_CometVersion) Number 

func (x CometSpec_CometVersion) Number() protoreflect.EnumNumber

func (CometSpec_CometVersion) String 

func (x CometSpec_CometVersion) String() string

func (CometSpec_CometVersion) Type 

func (CometSpec_CometVersion) Type() protoreflect.EnumType

type CompleteTrialRequest 

type CompleteTrialRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. If provided, it will be used as the completed Trial's
	// final_measurement; Otherwise, the service will auto-select a
	// previously reported measurement as the final-measurement
	FinalMeasurement *Measurement `protobuf:"bytes,2,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
	// Optional. True if the Trial cannot be run with the given Parameter, and
	// final_measurement will be ignored.
	TrialInfeasible bool `protobuf:"varint,3,opt,name=trial_infeasible,json=trialInfeasible,proto3" json:"trial_infeasible,omitempty"`
	// Optional. A human readable reason why the trial was infeasible. This should
	// only be provided if `trial_infeasible` is true.
	InfeasibleReason string `protobuf:"bytes,4,opt,name=infeasible_reason,json=infeasibleReason,proto3" json:"infeasible_reason,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].

func (*CompleteTrialRequest) Descriptor 

func (*CompleteTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use CompleteTrialRequest.ProtoReflect.Descriptor instead.

func (*CompleteTrialRequest) GetFinalMeasurement 

func (x *CompleteTrialRequest) GetFinalMeasurement() *Measurement

func (*CompleteTrialRequest) GetInfeasibleReason 

func (x *CompleteTrialRequest) GetInfeasibleReason() string

func (*CompleteTrialRequest) GetName 

func (x *CompleteTrialRequest) GetName() string

func (*CompleteTrialRequest) GetTrialInfeasible 

func (x *CompleteTrialRequest) GetTrialInfeasible() bool

func (*CompleteTrialRequest) ProtoMessage 

func (*CompleteTrialRequest) ProtoMessage()

func (*CompleteTrialRequest) ProtoReflect 

func (x *CompleteTrialRequest) ProtoReflect() protoreflect.Message

func (*CompleteTrialRequest) Reset 

func (x *CompleteTrialRequest) Reset()

func (*CompleteTrialRequest) String 

func (x *CompleteTrialRequest) String() string

type CompletionStats 

type CompletionStats struct {

	// Output only. The number of entities that had been processed successfully.
	SuccessfulCount int64 `protobuf:"varint,1,opt,name=successful_count,json=successfulCount,proto3" json:"successful_count,omitempty"`
	// Output only. The number of entities for which any error was encountered.
	FailedCount int64 `protobuf:"varint,2,opt,name=failed_count,json=failedCount,proto3" json:"failed_count,omitempty"`
	// Output only. In cases when enough errors are encountered a job, pipeline,
	// or operation may be failed as a whole. Below is the number of entities for
	// which the processing had not been finished (either in successful or failed
	// state). Set to -1 if the number is unknown (for example, the operation
	// failed before the total entity number could be collected).
	IncompleteCount int64 `protobuf:"varint,3,opt,name=incomplete_count,json=incompleteCount,proto3" json:"incomplete_count,omitempty"`
	// Output only. The number of the successful forecast points that are
	// generated by the forecasting model. This is ONLY used by the forecasting
	// batch prediction.
	SuccessfulForecastPointCount int64 `protobuf:"varint,5,opt,name=successful_forecast_point_count,json=successfulForecastPointCount,proto3" json:"successful_forecast_point_count,omitempty"`
	// contains filtered or unexported fields
}

Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.

func (*CompletionStats) Descriptor 

func (*CompletionStats) Descriptor() ([]byte, []int)

Deprecated: Use CompletionStats.ProtoReflect.Descriptor instead.

func (*CompletionStats) GetFailedCount 

func (x *CompletionStats) GetFailedCount() int64

func (*CompletionStats) GetIncompleteCount 

func (x *CompletionStats) GetIncompleteCount() int64

func (*CompletionStats) GetSuccessfulCount 

func (x *CompletionStats) GetSuccessfulCount() int64

func (*CompletionStats) GetSuccessfulForecastPointCount 

func (x *CompletionStats) GetSuccessfulForecastPointCount() int64

func (*CompletionStats) ProtoMessage 

func (*CompletionStats) ProtoMessage()

func (*CompletionStats) ProtoReflect 

func (x *CompletionStats) ProtoReflect() protoreflect.Message

func (*CompletionStats) Reset 

func (x *CompletionStats) Reset()

func (*CompletionStats) String 

func (x *CompletionStats) String() string

type ComputeTokensRequest 

type ComputeTokensRequest struct {

	// Required. The name of the Endpoint requested to get lists of tokens and
	// token ids.
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Optional. The instances that are the input to token computing API call.
	// Schema is identical to the prediction schema of the text model, even for
	// the non-text models, like chat models, or Codey models.
	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// Optional. The name of the publisher model requested to serve the
	// prediction. Format:
	// projects/{project}/locations/{location}/publishers/*/models/*
	Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. Input content.
	Contents []*Content `protobuf:"bytes,4,rep,name=contents,proto3" json:"contents,omitempty"`
	// contains filtered or unexported fields
}

Request message for ComputeTokens RPC call.

func (*ComputeTokensRequest) Descriptor 

func (*ComputeTokensRequest) Descriptor() ([]byte, []int)

Deprecated: Use ComputeTokensRequest.ProtoReflect.Descriptor instead.

func (*ComputeTokensRequest) GetContents 

func (x *ComputeTokensRequest) GetContents() []*Content

func (*ComputeTokensRequest) GetEndpoint 

func (x *ComputeTokensRequest) GetEndpoint() string

func (*ComputeTokensRequest) GetInstances 

func (x *ComputeTokensRequest) GetInstances() []*structpb.Value

func (*ComputeTokensRequest) GetModel 

func (x *ComputeTokensRequest) GetModel() string

func (*ComputeTokensRequest) ProtoMessage 

func (*ComputeTokensRequest) ProtoMessage()

func (*ComputeTokensRequest) ProtoReflect 

func (x *ComputeTokensRequest) ProtoReflect() protoreflect.Message

func (*ComputeTokensRequest) Reset 

func (x *ComputeTokensRequest) Reset()

func (*ComputeTokensRequest) String 

func (x *ComputeTokensRequest) String() string

type ComputeTokensResponse 

type ComputeTokensResponse struct {

	// Lists of tokens info from the input. A ComputeTokensRequest could have
	// multiple instances with a prompt in each instance. We also need to return
	// lists of tokens info for the request with multiple instances.
	TokensInfo []*TokensInfo `protobuf:"bytes,1,rep,name=tokens_info,json=tokensInfo,proto3" json:"tokens_info,omitempty"`
	// contains filtered or unexported fields
}

Response message for ComputeTokens RPC call.

func (*ComputeTokensResponse) Descriptor 

func (*ComputeTokensResponse) Descriptor() ([]byte, []int)

Deprecated: Use ComputeTokensResponse.ProtoReflect.Descriptor instead.

func (*ComputeTokensResponse) GetTokensInfo 

func (x *ComputeTokensResponse) GetTokensInfo() []*TokensInfo

func (*ComputeTokensResponse) ProtoMessage 

func (*ComputeTokensResponse) ProtoMessage()

func (*ComputeTokensResponse) ProtoReflect 

func (x *ComputeTokensResponse) ProtoReflect() protoreflect.Message

func (*ComputeTokensResponse) Reset 

func (x *ComputeTokensResponse) Reset()

func (*ComputeTokensResponse) String 

func (x *ComputeTokensResponse) String() string

type ContainerRegistryDestination 

type ContainerRegistryDestination struct {

	// Required. Container Registry URI of a container image.
	// Only Google Container Registry and Artifact Registry are supported now.
	// Accepted forms:
	//
	//   - Google Container Registry path. For example:
	//     `gcr.io/projectId/imageName:tag`.
	//
	//   - Artifact Registry path. For example:
	//     `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
	//
	// If a tag is not specified, "latest" will be used as the default tag.
	OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
	// contains filtered or unexported fields
}

The Container Registry location for the container image.

func (*ContainerRegistryDestination) Descriptor 

func (*ContainerRegistryDestination) Descriptor() ([]byte, []int)

Deprecated: Use ContainerRegistryDestination.ProtoReflect.Descriptor instead.

func (*ContainerRegistryDestination) GetOutputUri 

func (x *ContainerRegistryDestination) GetOutputUri() string

func (*ContainerRegistryDestination) ProtoMessage 

func (*ContainerRegistryDestination) ProtoMessage()

func (*ContainerRegistryDestination) ProtoReflect 

func (x *ContainerRegistryDestination) ProtoReflect() protoreflect.Message

func (*ContainerRegistryDestination) Reset 

func (x *ContainerRegistryDestination) Reset()

func (*ContainerRegistryDestination) String 

func (x *ContainerRegistryDestination) String() string

type ContainerSpec 

type ContainerSpec struct {

	// Required. The URI of a container image in the Container Registry that is to
	// be run on each worker replica.
	ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"`
	// The command to be invoked when the container is started.
	// It overrides the entrypoint instruction in Dockerfile when provided.
	Command []string `protobuf:"bytes,2,rep,name=command,proto3" json:"command,omitempty"`
	// The arguments to be passed when starting the container.
	Args []string `protobuf:"bytes,3,rep,name=args,proto3" json:"args,omitempty"`
	// Environment variables to be passed to the container.
	// Maximum limit is 100.
	Env []*EnvVar `protobuf:"bytes,4,rep,name=env,proto3" json:"env,omitempty"`
	// contains filtered or unexported fields
}

The spec of a Container.

func (*ContainerSpec) Descriptor 

func (*ContainerSpec) Descriptor() ([]byte, []int)

Deprecated: Use ContainerSpec.ProtoReflect.Descriptor instead.

func (*ContainerSpec) GetArgs 

func (x *ContainerSpec) GetArgs() []string

func (*ContainerSpec) GetCommand 

func (x *ContainerSpec) GetCommand() []string

func (*ContainerSpec) GetEnv 

func (x *ContainerSpec) GetEnv() []*EnvVar

func (*ContainerSpec) GetImageUri 

func (x *ContainerSpec) GetImageUri() string

func (*ContainerSpec) ProtoMessage 

func (*ContainerSpec) ProtoMessage()

func (*ContainerSpec) ProtoReflect 

func (x *ContainerSpec) ProtoReflect() protoreflect.Message

func (*ContainerSpec) Reset 

func (x *ContainerSpec) Reset()

func (*ContainerSpec) String 

func (x *ContainerSpec) String() string

type Content 

type Content struct {

	// Optional. The producer of the content. Must be either 'user' or 'model'.
	//
	// Useful to set for multi-turn conversations, otherwise can be left blank
	// or unset.
	Role string `protobuf:"bytes,1,opt,name=role,proto3" json:"role,omitempty"`
	// Required. Ordered `Parts` that constitute a single message. Parts may have
	// different IANA MIME types.
	Parts []*Part `protobuf:"bytes,2,rep,name=parts,proto3" json:"parts,omitempty"`
	// contains filtered or unexported fields
}

The base structured datatype containing multi-part content of a message.

A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.

func (*Content) Descriptor 

func (*Content) Descriptor() ([]byte, []int)

Deprecated: Use Content.ProtoReflect.Descriptor instead.

func (*Content) GetParts 

func (x *Content) GetParts() []*Part

func (*Content) GetRole 

func (x *Content) GetRole() string

func (*Content) ProtoMessage 

func (*Content) ProtoMessage()

func (*Content) ProtoReflect 

func (x *Content) ProtoReflect() protoreflect.Message

func (*Content) Reset 

func (x *Content) Reset()

func (*Content) String 

func (x *Content) String() string

type Context 

type Context struct {

	// Immutable. The resource name of the Context.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// User provided display name of the Context.
	// May be up to 128 Unicode characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// An eTag used to perform consistent read-modify-write updates. If not set, a
	// blind "overwrite" update happens.
	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Contexts.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Context (System
	// labels are excluded).
	Labels map[string]string `protobuf:"bytes,9,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Timestamp when this Context was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Context was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. A list of resource names of Contexts that are parents of this
	// Context. A Context may have at most 10 parent_contexts.
	ParentContexts []string `protobuf:"bytes,12,rep,name=parent_contexts,json=parentContexts,proto3" json:"parent_contexts,omitempty"`
	// The title of the schema describing the metadata.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaTitle string `protobuf:"bytes,13,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`
	// The version of the schema in schema_name to use.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
	// Properties of the Context.
	// Top level metadata keys' heading and trailing spaces will be trimmed.
	// The size of this field should not exceed 200KB.
	Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Description of the Context
	Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`
	// contains filtered or unexported fields
}

Instance of a general context.

func (*Context) Descriptor 

func (*Context) Descriptor() ([]byte, []int)

Deprecated: Use Context.ProtoReflect.Descriptor instead.

func (*Context) GetCreateTime 

func (x *Context) GetCreateTime() *timestamppb.Timestamp

func (*Context) GetDescription 

func (x *Context) GetDescription() string

func (*Context) GetDisplayName 

func (x *Context) GetDisplayName() string

func (*Context) GetEtag 

func (x *Context) GetEtag() string

func (*Context) GetLabels 

func (x *Context) GetLabels() map[string]string

func (*Context) GetMetadata 

func (x *Context) GetMetadata() *structpb.Struct

func (*Context) GetName 

func (x *Context) GetName() string

func (*Context) GetParentContexts 

func (x *Context) GetParentContexts() []string

func (*Context) GetSchemaTitle 

func (x *Context) GetSchemaTitle() string

func (*Context) GetSchemaVersion 

func (x *Context) GetSchemaVersion() string

func (*Context) GetUpdateTime 

func (x *Context) GetUpdateTime() *timestamppb.Timestamp

func (*Context) ProtoMessage 

func (*Context) ProtoMessage()

func (*Context) ProtoReflect 

func (x *Context) ProtoReflect() protoreflect.Message

func (*Context) Reset 

func (x *Context) Reset()

func (*Context) String 

func (x *Context) String() string

type CopyModelOperationMetadata 

type CopyModelOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel] operation.

func (*CopyModelOperationMetadata) Descriptor 

func (*CopyModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CopyModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*CopyModelOperationMetadata) GetGenericMetadata 

func (x *CopyModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CopyModelOperationMetadata) ProtoMessage 

func (*CopyModelOperationMetadata) ProtoMessage()

func (*CopyModelOperationMetadata) ProtoReflect 

func (x *CopyModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*CopyModelOperationMetadata) Reset 

func (x *CopyModelOperationMetadata) Reset()

func (*CopyModelOperationMetadata) String 

func (x *CopyModelOperationMetadata) String() string

type CopyModelRequest 

type CopyModelRequest struct {

	// If both fields are unset, a new Model will be created with a generated ID.
	//
	// Types that are assignable to DestinationModel:
	//
	//	*CopyModelRequest_ModelId
	//	*CopyModelRequest_ParentModel
	DestinationModel isCopyModelRequest_DestinationModel `protobuf_oneof:"destination_model"`
	// Required. The resource name of the Location into which to copy the Model.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The resource name of the Model to copy. That Model must be in the
	// same Project. Format:
	// `projects/{project}/locations/{location}/models/{model}`
	SourceModel string `protobuf:"bytes,2,opt,name=source_model,json=sourceModel,proto3" json:"source_model,omitempty"`
	// Customer-managed encryption key options. If this is set,
	// then the Model copy will be encrypted with the provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,3,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel].

func (*CopyModelRequest) Descriptor 

func (*CopyModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use CopyModelRequest.ProtoReflect.Descriptor instead.

func (*CopyModelRequest) GetDestinationModel 

func (m *CopyModelRequest) GetDestinationModel() isCopyModelRequest_DestinationModel

func (*CopyModelRequest) GetEncryptionSpec 

func (x *CopyModelRequest) GetEncryptionSpec() *EncryptionSpec

func (*CopyModelRequest) GetModelId 

func (x *CopyModelRequest) GetModelId() string

func (*CopyModelRequest) GetParent 

func (x *CopyModelRequest) GetParent() string

func (*CopyModelRequest) GetParentModel 

func (x *CopyModelRequest) GetParentModel() string

func (*CopyModelRequest) GetSourceModel 

func (x *CopyModelRequest) GetSourceModel() string

func (*CopyModelRequest) ProtoMessage 

func (*CopyModelRequest) ProtoMessage()

func (*CopyModelRequest) ProtoReflect 

func (x *CopyModelRequest) ProtoReflect() protoreflect.Message

func (*CopyModelRequest) Reset 

func (x *CopyModelRequest) Reset()

func (*CopyModelRequest) String 

func (x *CopyModelRequest) String() string

type CopyModelRequest_ModelId 

type CopyModelRequest_ModelId struct {
	// Optional. Copy source_model into a new Model with this ID. The ID will
	// become the final component of the model resource name.
	//
	// This value may be up to 63 characters, and valid characters are
	// `[a-z0-9_-]`. The first character cannot be a number or hyphen.
	ModelId string `protobuf:"bytes,4,opt,name=model_id,json=modelId,proto3,oneof"`
}

type CopyModelRequest_ParentModel 

type CopyModelRequest_ParentModel struct {
	// Optional. Specify this field to copy source_model into this existing
	// Model as a new version. Format:
	// `projects/{project}/locations/{location}/models/{model}`
	ParentModel string `protobuf:"bytes,5,opt,name=parent_model,json=parentModel,proto3,oneof"`
}

type CopyModelResponse 

type CopyModelResponse struct {

	// The name of the copied Model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. The version ID of the model that is copied.
	ModelVersionId string `protobuf:"bytes,2,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
	// contains filtered or unexported fields
}

Response message of [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel] operation.

func (*CopyModelResponse) Descriptor 

func (*CopyModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use CopyModelResponse.ProtoReflect.Descriptor instead.

func (*CopyModelResponse) GetModel 

func (x *CopyModelResponse) GetModel() string

func (*CopyModelResponse) GetModelVersionId 

func (x *CopyModelResponse) GetModelVersionId() string

func (*CopyModelResponse) ProtoMessage 

func (*CopyModelResponse) ProtoMessage()

func (*CopyModelResponse) ProtoReflect 

func (x *CopyModelResponse) ProtoReflect() protoreflect.Message

func (*CopyModelResponse) Reset 

func (x *CopyModelResponse) Reset()

func (*CopyModelResponse) String 

func (x *CopyModelResponse) String() string

type CorpusStatus 

type CorpusStatus struct {

	// Output only. RagCorpus life state.
	State CorpusStatus_State `protobuf:"varint,1,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.CorpusStatus_State" json:"state,omitempty"`
	// Output only. Only when the `state` field is ERROR.
	ErrorStatus string `protobuf:"bytes,2,opt,name=error_status,json=errorStatus,proto3" json:"error_status,omitempty"`
	// contains filtered or unexported fields
}

RagCorpus status.

func (*CorpusStatus) Descriptor 

func (*CorpusStatus) Descriptor() ([]byte, []int)

Deprecated: Use CorpusStatus.ProtoReflect.Descriptor instead.

func (*CorpusStatus) GetErrorStatus 

func (x *CorpusStatus) GetErrorStatus() string

func (*CorpusStatus) GetState 

func (x *CorpusStatus) GetState() CorpusStatus_State

func (*CorpusStatus) ProtoMessage 

func (*CorpusStatus) ProtoMessage()

func (*CorpusStatus) ProtoReflect 

func (x *CorpusStatus) ProtoReflect() protoreflect.Message

func (*CorpusStatus) Reset 

func (x *CorpusStatus) Reset()

func (*CorpusStatus) String 

func (x *CorpusStatus) String() string

type CorpusStatus_State 

type CorpusStatus_State int32

RagCorpus life state. 

const (
	// This state is not supposed to happen.
	CorpusStatus_UNKNOWN CorpusStatus_State = 0
	// RagCorpus resource entry is initialized, but hasn't done validation.
	CorpusStatus_INITIALIZED CorpusStatus_State = 1
	// RagCorpus is provisioned successfully and is ready to serve.
	CorpusStatus_ACTIVE CorpusStatus_State = 2
	// RagCorpus is in a problematic situation.
	// See `error_message` field for details.
	CorpusStatus_ERROR CorpusStatus_State = 3
)

func (CorpusStatus_State) Descriptor 

func (CorpusStatus_State) Descriptor() protoreflect.EnumDescriptor

func (CorpusStatus_State) Enum 

func (x CorpusStatus_State) Enum() *CorpusStatus_State

func (CorpusStatus_State) EnumDescriptor 

func (CorpusStatus_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use CorpusStatus_State.Descriptor instead.

func (CorpusStatus_State) Number 

func (x CorpusStatus_State) Number() protoreflect.EnumNumber

func (CorpusStatus_State) String 

func (x CorpusStatus_State) String() string

func (CorpusStatus_State) Type 

func (CorpusStatus_State) Type() protoreflect.EnumType

type CorroborateContentRequest 

type CorroborateContentRequest struct {

	// Required. The resource name of the Location from which to corroborate text.
	// The users must have permission to make a call in the project.
	// Format:
	// `projects/{project}/locations/{location}`.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. Input content to corroborate, only text format is supported for
	// now.
	Content *Content `protobuf:"bytes,2,opt,name=content,proto3,oneof" json:"content,omitempty"`
	// Optional. Facts used to generate the text can also be used to corroborate
	// the text.
	Facts []*Fact `protobuf:"bytes,3,rep,name=facts,proto3" json:"facts,omitempty"`
	// Optional. Parameters that can be set to override default settings per
	// request.
	Parameters *CorroborateContentRequest_Parameters `protobuf:"bytes,4,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Request message for CorroborateContent.

func (*CorroborateContentRequest) Descriptor 

func (*CorroborateContentRequest) Descriptor() ([]byte, []int)

Deprecated: Use CorroborateContentRequest.ProtoReflect.Descriptor instead.

func (*CorroborateContentRequest) GetContent 

func (x *CorroborateContentRequest) GetContent() *Content

func (*CorroborateContentRequest) GetFacts 

func (x *CorroborateContentRequest) GetFacts() []*Fact

func (*CorroborateContentRequest) GetParameters 

func (x *CorroborateContentRequest) GetParameters() *CorroborateContentRequest_Parameters

func (*CorroborateContentRequest) GetParent 

func (x *CorroborateContentRequest) GetParent() string

func (*CorroborateContentRequest) ProtoMessage 

func (*CorroborateContentRequest) ProtoMessage()

func (*CorroborateContentRequest) ProtoReflect 

func (x *CorroborateContentRequest) ProtoReflect() protoreflect.Message

func (*CorroborateContentRequest) Reset 

func (x *CorroborateContentRequest) Reset()

func (*CorroborateContentRequest) String 

func (x *CorroborateContentRequest) String() string

type CorroborateContentRequest_Parameters 

type CorroborateContentRequest_Parameters struct {

	// Optional. Only return claims with citation score larger than the
	// threshold.
	CitationThreshold float64 `protobuf:"fixed64,1,opt,name=citation_threshold,json=citationThreshold,proto3" json:"citation_threshold,omitempty"`
	// contains filtered or unexported fields
}

Parameters that can be overrided per request.

func (*CorroborateContentRequest_Parameters) Descriptor 

func (*CorroborateContentRequest_Parameters) Descriptor() ([]byte, []int)

Deprecated: Use CorroborateContentRequest_Parameters.ProtoReflect.Descriptor instead.

func (*CorroborateContentRequest_Parameters) GetCitationThreshold 

func (x *CorroborateContentRequest_Parameters) GetCitationThreshold() float64

func (*CorroborateContentRequest_Parameters) ProtoMessage 

func (*CorroborateContentRequest_Parameters) ProtoMessage()

func (*CorroborateContentRequest_Parameters) ProtoReflect 

func (x *CorroborateContentRequest_Parameters) ProtoReflect() protoreflect.Message

func (*CorroborateContentRequest_Parameters) Reset 

func (x *CorroborateContentRequest_Parameters) Reset()

func (*CorroborateContentRequest_Parameters) String 

func (x *CorroborateContentRequest_Parameters) String() string

type CorroborateContentResponse 

type CorroborateContentResponse struct {

	// Confidence score of corroborating content. Value is [0,1] with 1 is the
	// most confidence.
	CorroborationScore *float32 `protobuf:"fixed32,1,opt,name=corroboration_score,json=corroborationScore,proto3,oneof" json:"corroboration_score,omitempty"`
	// Claims that are extracted from the input content and facts that support the
	// claims.
	Claims []*Claim `protobuf:"bytes,2,rep,name=claims,proto3" json:"claims,omitempty"`
	// contains filtered or unexported fields
}

Response message for CorroborateContent.

func (*CorroborateContentResponse) Descriptor 

func (*CorroborateContentResponse) Descriptor() ([]byte, []int)

Deprecated: Use CorroborateContentResponse.ProtoReflect.Descriptor instead.

func (*CorroborateContentResponse) GetClaims 

func (x *CorroborateContentResponse) GetClaims() []*Claim

func (*CorroborateContentResponse) GetCorroborationScore 

func (x *CorroborateContentResponse) GetCorroborationScore() float32

func (*CorroborateContentResponse) ProtoMessage 

func (*CorroborateContentResponse) ProtoMessage()

func (*CorroborateContentResponse) ProtoReflect 

func (x *CorroborateContentResponse) ProtoReflect() protoreflect.Message

func (*CorroborateContentResponse) Reset 

func (x *CorroborateContentResponse) Reset()

func (*CorroborateContentResponse) String 

func (x *CorroborateContentResponse) String() string

type CountTokensRequest 

type CountTokensRequest struct {

	// Required. The name of the Endpoint requested to perform token counting.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Optional. The name of the publisher model requested to serve the
	// prediction. Format:
	// `projects/{project}/locations/{location}/publishers/*/models/*`
	Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. The instances that are the input to token counting call.
	// Schema is identical to the prediction schema of the underlying model.
	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// Optional. Input content.
	Contents []*Content `protobuf:"bytes,4,rep,name=contents,proto3" json:"contents,omitempty"`
	// Optional. The user provided system instructions for the model.
	// Note: only text should be used in parts and content in each part will be in
	// a separate paragraph.
	SystemInstruction *Content `protobuf:"bytes,5,opt,name=system_instruction,json=systemInstruction,proto3,oneof" json:"system_instruction,omitempty"`
	// Optional. A list of `Tools` the model may use to generate the next
	// response.
	//
	// A `Tool` is a piece of code that enables the system to interact with
	// external systems to perform an action, or set of actions, outside of
	// knowledge and scope of the model.
	Tools []*Tool `protobuf:"bytes,6,rep,name=tools,proto3" json:"tools,omitempty"`
	// Optional. Generation config that the model will use to generate the
	// response.
	GenerationConfig *GenerationConfig `protobuf:"bytes,7,opt,name=generation_config,json=generationConfig,proto3,oneof" json:"generation_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.CountTokens][].

func (*CountTokensRequest) Descriptor 

func (*CountTokensRequest) Descriptor() ([]byte, []int)

Deprecated: Use CountTokensRequest.ProtoReflect.Descriptor instead.

func (*CountTokensRequest) GetContents 

func (x *CountTokensRequest) GetContents() []*Content

func (*CountTokensRequest) GetEndpoint 

func (x *CountTokensRequest) GetEndpoint() string

func (*CountTokensRequest) GetGenerationConfig 

func (x *CountTokensRequest) GetGenerationConfig() *GenerationConfig

func (*CountTokensRequest) GetInstances 

func (x *CountTokensRequest) GetInstances() []*structpb.Value

func (*CountTokensRequest) GetModel 

func (x *CountTokensRequest) GetModel() string

func (*CountTokensRequest) GetSystemInstruction 

func (x *CountTokensRequest) GetSystemInstruction() *Content

func (*CountTokensRequest) GetTools 

func (x *CountTokensRequest) GetTools() []*Tool

func (*CountTokensRequest) ProtoMessage 

func (*CountTokensRequest) ProtoMessage()

func (*CountTokensRequest) ProtoReflect 

func (x *CountTokensRequest) ProtoReflect() protoreflect.Message

func (*CountTokensRequest) Reset 

func (x *CountTokensRequest) Reset()

func (*CountTokensRequest) String 

func (x *CountTokensRequest) String() string

type CountTokensResponse 

type CountTokensResponse struct {

	// The total number of tokens counted across all instances from the request.
	TotalTokens int32 `protobuf:"varint,1,opt,name=total_tokens,json=totalTokens,proto3" json:"total_tokens,omitempty"`
	// The total number of billable characters counted across all instances from
	// the request.
	TotalBillableCharacters int32 `protobuf:"varint,2,opt,name=total_billable_characters,json=totalBillableCharacters,proto3" json:"total_billable_characters,omitempty"`
	// Output only. List of modalities that were processed in the request input.
	PromptTokensDetails []*ModalityTokenCount `protobuf:"bytes,3,rep,name=prompt_tokens_details,json=promptTokensDetails,proto3" json:"prompt_tokens_details,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.CountTokens][].

func (*CountTokensResponse) Descriptor 

func (*CountTokensResponse) Descriptor() ([]byte, []int)

Deprecated: Use CountTokensResponse.ProtoReflect.Descriptor instead.

func (*CountTokensResponse) GetPromptTokensDetails 

func (x *CountTokensResponse) GetPromptTokensDetails() []*ModalityTokenCount

func (*CountTokensResponse) GetTotalBillableCharacters 

func (x *CountTokensResponse) GetTotalBillableCharacters() int32

func (*CountTokensResponse) GetTotalTokens 

func (x *CountTokensResponse) GetTotalTokens() int32

func (*CountTokensResponse) ProtoMessage 

func (*CountTokensResponse) ProtoMessage()

func (*CountTokensResponse) ProtoReflect 

func (x *CountTokensResponse) ProtoReflect() protoreflect.Message

func (*CountTokensResponse) Reset 

func (x *CountTokensResponse) Reset()

func (*CountTokensResponse) String 

func (x *CountTokensResponse) String() string

type CreateArtifactRequest 

type CreateArtifactRequest struct {

	// Required. The resource name of the MetadataStore where the Artifact should
	// be created.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Artifact to create.
	Artifact *Artifact `protobuf:"bytes,2,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// The {artifact} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	// If not provided, the Artifact's ID will be a UUID generated by the service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all Artifacts in the parent MetadataStore. (Otherwise
	// the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
	// caller can't view the preexisting Artifact.)
	ArtifactId string `protobuf:"bytes,3,opt,name=artifact_id,json=artifactId,proto3" json:"artifact_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].

func (*CreateArtifactRequest) Descriptor 

func (*CreateArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateArtifactRequest.ProtoReflect.Descriptor instead.

func (*CreateArtifactRequest) GetArtifact 

func (x *CreateArtifactRequest) GetArtifact() *Artifact

func (*CreateArtifactRequest) GetArtifactId 

func (x *CreateArtifactRequest) GetArtifactId() string

func (*CreateArtifactRequest) GetParent 

func (x *CreateArtifactRequest) GetParent() string

func (*CreateArtifactRequest) ProtoMessage 

func (*CreateArtifactRequest) ProtoMessage()

func (*CreateArtifactRequest) ProtoReflect 

func (x *CreateArtifactRequest) ProtoReflect() protoreflect.Message

func (*CreateArtifactRequest) Reset 

func (x *CreateArtifactRequest) Reset()

func (*CreateArtifactRequest) String 

func (x *CreateArtifactRequest) String() string

type CreateBatchPredictionJobRequest 

type CreateBatchPredictionJobRequest struct {

	// Required. The resource name of the Location to create the
	// BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The BatchPredictionJob to create.
	BatchPredictionJob *BatchPredictionJob `protobuf:"bytes,2,opt,name=batch_prediction_job,json=batchPredictionJob,proto3" json:"batch_prediction_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].

func (*CreateBatchPredictionJobRequest) Descriptor 

func (*CreateBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*CreateBatchPredictionJobRequest) GetBatchPredictionJob 

func (x *CreateBatchPredictionJobRequest) GetBatchPredictionJob() *BatchPredictionJob

func (*CreateBatchPredictionJobRequest) GetParent 

func (x *CreateBatchPredictionJobRequest) GetParent() string

func (*CreateBatchPredictionJobRequest) ProtoMessage 

func (*CreateBatchPredictionJobRequest) ProtoMessage()

func (*CreateBatchPredictionJobRequest) ProtoReflect 

func (x *CreateBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*CreateBatchPredictionJobRequest) Reset 

func (x *CreateBatchPredictionJobRequest) Reset()

func (*CreateBatchPredictionJobRequest) String 

func (x *CreateBatchPredictionJobRequest) String() string

type CreateCachedContentRequest 

type CreateCachedContentRequest struct {

	// Required. The parent resource where the cached content will be created
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The cached content to create
	CachedContent *CachedContent `protobuf:"bytes,2,opt,name=cached_content,json=cachedContent,proto3" json:"cached_content,omitempty"`
	// contains filtered or unexported fields
}

Request message for [GenAiCacheService.CreateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.CreateCachedContent].

func (*CreateCachedContentRequest) Descriptor 

func (*CreateCachedContentRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateCachedContentRequest.ProtoReflect.Descriptor instead.

func (*CreateCachedContentRequest) GetCachedContent 

func (x *CreateCachedContentRequest) GetCachedContent() *CachedContent

func (*CreateCachedContentRequest) GetParent 

func (x *CreateCachedContentRequest) GetParent() string

func (*CreateCachedContentRequest) ProtoMessage 

func (*CreateCachedContentRequest) ProtoMessage()

func (*CreateCachedContentRequest) ProtoReflect 

func (x *CreateCachedContentRequest) ProtoReflect() protoreflect.Message

func (*CreateCachedContentRequest) Reset 

func (x *CreateCachedContentRequest) Reset()

func (*CreateCachedContentRequest) String 

func (x *CreateCachedContentRequest) String() string

type CreateContextRequest 

type CreateContextRequest struct {

	// Required. The resource name of the MetadataStore where the Context should
	// be created. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Context to create.
	Context *Context `protobuf:"bytes,2,opt,name=context,proto3" json:"context,omitempty"`
	// The {context} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`.
	// If not provided, the Context's ID will be a UUID generated by the service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all Contexts in the parent MetadataStore. (Otherwise
	// the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
	// caller can't view the preexisting Context.)
	ContextId string `protobuf:"bytes,3,opt,name=context_id,json=contextId,proto3" json:"context_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].

func (*CreateContextRequest) Descriptor 

func (*CreateContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateContextRequest.ProtoReflect.Descriptor instead.

func (*CreateContextRequest) GetContext 

func (x *CreateContextRequest) GetContext() *Context

func (*CreateContextRequest) GetContextId 

func (x *CreateContextRequest) GetContextId() string

func (*CreateContextRequest) GetParent 

func (x *CreateContextRequest) GetParent() string

func (*CreateContextRequest) ProtoMessage 

func (*CreateContextRequest) ProtoMessage()

func (*CreateContextRequest) ProtoReflect 

func (x *CreateContextRequest) ProtoReflect() protoreflect.Message

func (*CreateContextRequest) Reset 

func (x *CreateContextRequest) Reset()

func (*CreateContextRequest) String 

func (x *CreateContextRequest) String() string

type CreateCustomJobRequest 

type CreateCustomJobRequest struct {

	// Required. The resource name of the Location to create the CustomJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The CustomJob to create.
	CustomJob *CustomJob `protobuf:"bytes,2,opt,name=custom_job,json=customJob,proto3" json:"custom_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].

func (*CreateCustomJobRequest) Descriptor 

func (*CreateCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateCustomJobRequest.ProtoReflect.Descriptor instead.

func (*CreateCustomJobRequest) GetCustomJob 

func (x *CreateCustomJobRequest) GetCustomJob() *CustomJob

func (*CreateCustomJobRequest) GetParent 

func (x *CreateCustomJobRequest) GetParent() string

func (*CreateCustomJobRequest) ProtoMessage 

func (*CreateCustomJobRequest) ProtoMessage()

func (*CreateCustomJobRequest) ProtoReflect 

func (x *CreateCustomJobRequest) ProtoReflect() protoreflect.Message

func (*CreateCustomJobRequest) Reset 

func (x *CreateCustomJobRequest) Reset()

func (*CreateCustomJobRequest) String 

func (x *CreateCustomJobRequest) String() string

type CreateDataLabelingJobRequest 

type CreateDataLabelingJobRequest struct {

	// Required. The parent of the DataLabelingJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The DataLabelingJob to create.
	DataLabelingJob *DataLabelingJob `protobuf:"bytes,2,opt,name=data_labeling_job,json=dataLabelingJob,proto3" json:"data_labeling_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].

func (*CreateDataLabelingJobRequest) Descriptor 

func (*CreateDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*CreateDataLabelingJobRequest) GetDataLabelingJob 

func (x *CreateDataLabelingJobRequest) GetDataLabelingJob() *DataLabelingJob

func (*CreateDataLabelingJobRequest) GetParent 

func (x *CreateDataLabelingJobRequest) GetParent() string

func (*CreateDataLabelingJobRequest) ProtoMessage 

func (*CreateDataLabelingJobRequest) ProtoMessage()

func (*CreateDataLabelingJobRequest) ProtoReflect 

func (x *CreateDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*CreateDataLabelingJobRequest) Reset 

func (x *CreateDataLabelingJobRequest) Reset()

func (*CreateDataLabelingJobRequest) String 

func (x *CreateDataLabelingJobRequest) String() string

type CreateDatasetOperationMetadata 

type CreateDatasetOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].

func (*CreateDatasetOperationMetadata) Descriptor 

func (*CreateDatasetOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateDatasetOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateDatasetOperationMetadata) GetGenericMetadata 

func (x *CreateDatasetOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateDatasetOperationMetadata) ProtoMessage 

func (*CreateDatasetOperationMetadata) ProtoMessage()

func (*CreateDatasetOperationMetadata) ProtoReflect 

func (x *CreateDatasetOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateDatasetOperationMetadata) Reset 

func (x *CreateDatasetOperationMetadata) Reset()

func (*CreateDatasetOperationMetadata) String 

func (x *CreateDatasetOperationMetadata) String() string

type CreateDatasetRequest 

type CreateDatasetRequest struct {

	// Required. The resource name of the Location to create the Dataset in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Dataset to create.
	Dataset *Dataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].

func (*CreateDatasetRequest) Descriptor 

func (*CreateDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateDatasetRequest.ProtoReflect.Descriptor instead.

func (*CreateDatasetRequest) GetDataset 

func (x *CreateDatasetRequest) GetDataset() *Dataset

func (*CreateDatasetRequest) GetParent 

func (x *CreateDatasetRequest) GetParent() string

func (*CreateDatasetRequest) ProtoMessage 

func (*CreateDatasetRequest) ProtoMessage()

func (*CreateDatasetRequest) ProtoReflect 

func (x *CreateDatasetRequest) ProtoReflect() protoreflect.Message

func (*CreateDatasetRequest) Reset 

func (x *CreateDatasetRequest) Reset()

func (*CreateDatasetRequest) String 

func (x *CreateDatasetRequest) String() string

type CreateDatasetVersionOperationMetadata 

type CreateDatasetVersionOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion].

func (*CreateDatasetVersionOperationMetadata) Descriptor 

func (*CreateDatasetVersionOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateDatasetVersionOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateDatasetVersionOperationMetadata) GetGenericMetadata 

func (x *CreateDatasetVersionOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateDatasetVersionOperationMetadata) ProtoMessage 

func (*CreateDatasetVersionOperationMetadata) ProtoMessage()

func (*CreateDatasetVersionOperationMetadata) ProtoReflect 

func (x *CreateDatasetVersionOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateDatasetVersionOperationMetadata) Reset 

func (x *CreateDatasetVersionOperationMetadata) Reset()

func (*CreateDatasetVersionOperationMetadata) String 

func (x *CreateDatasetVersionOperationMetadata) String() string

type CreateDatasetVersionRequest 

type CreateDatasetVersionRequest struct {

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The version to be created. The same CMEK policies with the
	// original Dataset will be applied the dataset version. So here we don't need
	// to specify the EncryptionSpecType here.
	DatasetVersion *DatasetVersion `protobuf:"bytes,2,opt,name=dataset_version,json=datasetVersion,proto3" json:"dataset_version,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion].

func (*CreateDatasetVersionRequest) Descriptor 

func (*CreateDatasetVersionRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateDatasetVersionRequest.ProtoReflect.Descriptor instead.

func (*CreateDatasetVersionRequest) GetDatasetVersion 

func (x *CreateDatasetVersionRequest) GetDatasetVersion() *DatasetVersion

func (*CreateDatasetVersionRequest) GetParent 

func (x *CreateDatasetVersionRequest) GetParent() string

func (*CreateDatasetVersionRequest) ProtoMessage 

func (*CreateDatasetVersionRequest) ProtoMessage()

func (*CreateDatasetVersionRequest) ProtoReflect 

func (x *CreateDatasetVersionRequest) ProtoReflect() protoreflect.Message

func (*CreateDatasetVersionRequest) Reset 

func (x *CreateDatasetVersionRequest) Reset()

func (*CreateDatasetVersionRequest) String 

func (x *CreateDatasetVersionRequest) String() string

type CreateDeploymentResourcePoolOperationMetadata 

type CreateDeploymentResourcePoolOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for CreateDeploymentResourcePool method.

func (*CreateDeploymentResourcePoolOperationMetadata) Descriptor 

func (*CreateDeploymentResourcePoolOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateDeploymentResourcePoolOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateDeploymentResourcePoolOperationMetadata) GetGenericMetadata 

func (x *CreateDeploymentResourcePoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateDeploymentResourcePoolOperationMetadata) ProtoMessage 

func (*CreateDeploymentResourcePoolOperationMetadata) ProtoMessage()

func (*CreateDeploymentResourcePoolOperationMetadata) ProtoReflect 

func (x *CreateDeploymentResourcePoolOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateDeploymentResourcePoolOperationMetadata) Reset 

func (x *CreateDeploymentResourcePoolOperationMetadata) Reset()

func (*CreateDeploymentResourcePoolOperationMetadata) String 

func (x *CreateDeploymentResourcePoolOperationMetadata) String() string

type CreateDeploymentResourcePoolRequest 

type CreateDeploymentResourcePoolRequest struct {

	// Required. The parent location resource where this DeploymentResourcePool
	// will be created. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The DeploymentResourcePool to create.
	DeploymentResourcePool *DeploymentResourcePool `protobuf:"bytes,2,opt,name=deployment_resource_pool,json=deploymentResourcePool,proto3" json:"deployment_resource_pool,omitempty"`
	// Required. The ID to use for the DeploymentResourcePool, which
	// will become the final component of the DeploymentResourcePool's resource
	// name.
	//
	// The maximum length is 63 characters, and valid characters
	// are `/^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/`.
	DeploymentResourcePoolId string `protobuf:"bytes,3,opt,name=deployment_resource_pool_id,json=deploymentResourcePoolId,proto3" json:"deployment_resource_pool_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for CreateDeploymentResourcePool method.

func (*CreateDeploymentResourcePoolRequest) Descriptor 

func (*CreateDeploymentResourcePoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateDeploymentResourcePoolRequest.ProtoReflect.Descriptor instead.

func (*CreateDeploymentResourcePoolRequest) GetDeploymentResourcePool 

func (x *CreateDeploymentResourcePoolRequest) GetDeploymentResourcePool() *DeploymentResourcePool

func (*CreateDeploymentResourcePoolRequest) GetDeploymentResourcePoolId 

func (x *CreateDeploymentResourcePoolRequest) GetDeploymentResourcePoolId() string

func (*CreateDeploymentResourcePoolRequest) GetParent 

func (x *CreateDeploymentResourcePoolRequest) GetParent() string

func (*CreateDeploymentResourcePoolRequest) ProtoMessage 

func (*CreateDeploymentResourcePoolRequest) ProtoMessage()

func (*CreateDeploymentResourcePoolRequest) ProtoReflect 

func (x *CreateDeploymentResourcePoolRequest) ProtoReflect() protoreflect.Message

func (*CreateDeploymentResourcePoolRequest) Reset 

func (x *CreateDeploymentResourcePoolRequest) Reset()

func (*CreateDeploymentResourcePoolRequest) String 

func (x *CreateDeploymentResourcePoolRequest) String() string

type CreateEndpointOperationMetadata 

type CreateEndpointOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].

func (*CreateEndpointOperationMetadata) Descriptor 

func (*CreateEndpointOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateEndpointOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateEndpointOperationMetadata) GetGenericMetadata 

func (x *CreateEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateEndpointOperationMetadata) ProtoMessage 

func (*CreateEndpointOperationMetadata) ProtoMessage()

func (*CreateEndpointOperationMetadata) ProtoReflect 

func (x *CreateEndpointOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateEndpointOperationMetadata) Reset 

func (x *CreateEndpointOperationMetadata) Reset()

func (*CreateEndpointOperationMetadata) String 

func (x *CreateEndpointOperationMetadata) String() string

type CreateEndpointRequest 

type CreateEndpointRequest struct {

	// Required. The resource name of the Location to create the Endpoint in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Endpoint to create.
	Endpoint *Endpoint `protobuf:"bytes,2,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Immutable. The ID to use for endpoint, which will become the final
	// component of the endpoint resource name.
	// If not provided, Vertex AI will generate a value for this ID.
	//
	// If the first character is a letter, this value may be up to 63 characters,
	// and valid characters are `[a-z0-9-]`. The last character must be a letter
	// or number.
	//
	// If the first character is a number, this value may be up to 9 characters,
	// and valid characters are `[0-9]` with no leading zeros.
	//
	// When using HTTP/JSON, this field is populated
	// based on a query string argument, such as `?endpoint_id=12345`. This is the
	// fallback for fields that are not included in either the URI or the body.
	EndpointId string `protobuf:"bytes,4,opt,name=endpoint_id,json=endpointId,proto3" json:"endpoint_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].

func (*CreateEndpointRequest) Descriptor 

func (*CreateEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateEndpointRequest.ProtoReflect.Descriptor instead.

func (*CreateEndpointRequest) GetEndpoint 

func (x *CreateEndpointRequest) GetEndpoint() *Endpoint

func (*CreateEndpointRequest) GetEndpointId 

func (x *CreateEndpointRequest) GetEndpointId() string

func (*CreateEndpointRequest) GetParent 

func (x *CreateEndpointRequest) GetParent() string

func (*CreateEndpointRequest) ProtoMessage 

func (*CreateEndpointRequest) ProtoMessage()

func (*CreateEndpointRequest) ProtoReflect 

func (x *CreateEndpointRequest) ProtoReflect() protoreflect.Message

func (*CreateEndpointRequest) Reset 

func (x *CreateEndpointRequest) Reset()

func (*CreateEndpointRequest) String 

func (x *CreateEndpointRequest) String() string

type CreateEntityTypeOperationMetadata 

type CreateEntityTypeOperationMetadata struct {

	// Operation metadata for EntityType.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create EntityType.

func (*CreateEntityTypeOperationMetadata) Descriptor 

func (*CreateEntityTypeOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateEntityTypeOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateEntityTypeOperationMetadata) GetGenericMetadata 

func (x *CreateEntityTypeOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateEntityTypeOperationMetadata) ProtoMessage 

func (*CreateEntityTypeOperationMetadata) ProtoMessage()

func (*CreateEntityTypeOperationMetadata) ProtoReflect 

func (x *CreateEntityTypeOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateEntityTypeOperationMetadata) Reset 

func (x *CreateEntityTypeOperationMetadata) Reset()

func (*CreateEntityTypeOperationMetadata) String 

func (x *CreateEntityTypeOperationMetadata) String() string

type CreateEntityTypeRequest 

type CreateEntityTypeRequest struct {

	// Required. The resource name of the Featurestore to create EntityTypes.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The EntityType to create.
	EntityType *EntityType `protobuf:"bytes,2,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. The ID to use for the EntityType, which will become the final
	// component of the EntityType's resource name.
	//
	// This value may be up to 60 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within a featurestore.
	EntityTypeId string `protobuf:"bytes,3,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].

func (*CreateEntityTypeRequest) Descriptor 

func (*CreateEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*CreateEntityTypeRequest) GetEntityType 

func (x *CreateEntityTypeRequest) GetEntityType() *EntityType

func (*CreateEntityTypeRequest) GetEntityTypeId 

func (x *CreateEntityTypeRequest) GetEntityTypeId() string

func (*CreateEntityTypeRequest) GetParent 

func (x *CreateEntityTypeRequest) GetParent() string

func (*CreateEntityTypeRequest) ProtoMessage 

func (*CreateEntityTypeRequest) ProtoMessage()

func (*CreateEntityTypeRequest) ProtoReflect 

func (x *CreateEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*CreateEntityTypeRequest) Reset 

func (x *CreateEntityTypeRequest) Reset()

func (*CreateEntityTypeRequest) String 

func (x *CreateEntityTypeRequest) String() string

type CreateExecutionRequest 

type CreateExecutionRequest struct {

	// Required. The resource name of the MetadataStore where the Execution should
	// be created.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Execution to create.
	Execution *Execution `protobuf:"bytes,2,opt,name=execution,proto3" json:"execution,omitempty"`
	// The {execution} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	// If not provided, the Execution's ID will be a UUID generated by the
	// service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all Executions in the parent MetadataStore.
	// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
	// if the caller can't view the preexisting Execution.)
	ExecutionId string `protobuf:"bytes,3,opt,name=execution_id,json=executionId,proto3" json:"execution_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].

func (*CreateExecutionRequest) Descriptor 

func (*CreateExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateExecutionRequest.ProtoReflect.Descriptor instead.

func (*CreateExecutionRequest) GetExecution 

func (x *CreateExecutionRequest) GetExecution() *Execution

func (*CreateExecutionRequest) GetExecutionId 

func (x *CreateExecutionRequest) GetExecutionId() string

func (*CreateExecutionRequest) GetParent 

func (x *CreateExecutionRequest) GetParent() string

func (*CreateExecutionRequest) ProtoMessage 

func (*CreateExecutionRequest) ProtoMessage()

func (*CreateExecutionRequest) ProtoReflect 

func (x *CreateExecutionRequest) ProtoReflect() protoreflect.Message

func (*CreateExecutionRequest) Reset 

func (x *CreateExecutionRequest) Reset()

func (*CreateExecutionRequest) String 

func (x *CreateExecutionRequest) String() string

type CreateFeatureGroupOperationMetadata 

type CreateFeatureGroupOperationMetadata struct {

	// Operation metadata for FeatureGroup.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create FeatureGroup.

func (*CreateFeatureGroupOperationMetadata) Descriptor 

func (*CreateFeatureGroupOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureGroupOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateFeatureGroupOperationMetadata) GetGenericMetadata 

func (x *CreateFeatureGroupOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateFeatureGroupOperationMetadata) ProtoMessage 

func (*CreateFeatureGroupOperationMetadata) ProtoMessage()

func (*CreateFeatureGroupOperationMetadata) ProtoReflect 

func (x *CreateFeatureGroupOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateFeatureGroupOperationMetadata) Reset 

func (x *CreateFeatureGroupOperationMetadata) Reset()

func (*CreateFeatureGroupOperationMetadata) String 

func (x *CreateFeatureGroupOperationMetadata) String() string

type CreateFeatureGroupRequest 

type CreateFeatureGroupRequest struct {

	// Required. The resource name of the Location to create FeatureGroups.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The FeatureGroup to create.
	FeatureGroup *FeatureGroup `protobuf:"bytes,2,opt,name=feature_group,json=featureGroup,proto3" json:"feature_group,omitempty"`
	// Required. The ID to use for this FeatureGroup, which will become the final
	// component of the FeatureGroup's resource name.
	//
	// This value may be up to 128 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within the project and location.
	FeatureGroupId string `protobuf:"bytes,3,opt,name=feature_group_id,json=featureGroupId,proto3" json:"feature_group_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureRegistryService.CreateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeatureGroup].

func (*CreateFeatureGroupRequest) Descriptor 

func (*CreateFeatureGroupRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureGroupRequest.ProtoReflect.Descriptor instead.

func (*CreateFeatureGroupRequest) GetFeatureGroup 

func (x *CreateFeatureGroupRequest) GetFeatureGroup() *FeatureGroup

func (*CreateFeatureGroupRequest) GetFeatureGroupId 

func (x *CreateFeatureGroupRequest) GetFeatureGroupId() string

func (*CreateFeatureGroupRequest) GetParent 

func (x *CreateFeatureGroupRequest) GetParent() string

func (*CreateFeatureGroupRequest) ProtoMessage 

func (*CreateFeatureGroupRequest) ProtoMessage()

func (*CreateFeatureGroupRequest) ProtoReflect 

func (x *CreateFeatureGroupRequest) ProtoReflect() protoreflect.Message

func (*CreateFeatureGroupRequest) Reset 

func (x *CreateFeatureGroupRequest) Reset()

func (*CreateFeatureGroupRequest) String 

func (x *CreateFeatureGroupRequest) String() string

type CreateFeatureOnlineStoreOperationMetadata 

type CreateFeatureOnlineStoreOperationMetadata struct {

	// Operation metadata for FeatureOnlineStore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create FeatureOnlineStore.

func (*CreateFeatureOnlineStoreOperationMetadata) Descriptor 

func (*CreateFeatureOnlineStoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureOnlineStoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateFeatureOnlineStoreOperationMetadata) GetGenericMetadata 

func (x *CreateFeatureOnlineStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateFeatureOnlineStoreOperationMetadata) ProtoMessage 

func (*CreateFeatureOnlineStoreOperationMetadata) ProtoMessage()

func (*CreateFeatureOnlineStoreOperationMetadata) ProtoReflect 

func (x *CreateFeatureOnlineStoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateFeatureOnlineStoreOperationMetadata) Reset 

func (x *CreateFeatureOnlineStoreOperationMetadata) Reset()

func (*CreateFeatureOnlineStoreOperationMetadata) String 

func (x *CreateFeatureOnlineStoreOperationMetadata) String() string

type CreateFeatureOnlineStoreRequest 

type CreateFeatureOnlineStoreRequest struct {

	// Required. The resource name of the Location to create FeatureOnlineStores.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The FeatureOnlineStore to create.
	FeatureOnlineStore *FeatureOnlineStore `protobuf:"bytes,2,opt,name=feature_online_store,json=featureOnlineStore,proto3" json:"feature_online_store,omitempty"`
	// Required. The ID to use for this FeatureOnlineStore, which will become the
	// final component of the FeatureOnlineStore's resource name.
	//
	// This value may be up to 60 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within the project and location.
	FeatureOnlineStoreId string `protobuf:"bytes,3,opt,name=feature_online_store_id,json=featureOnlineStoreId,proto3" json:"feature_online_store_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore].

func (*CreateFeatureOnlineStoreRequest) Descriptor 

func (*CreateFeatureOnlineStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureOnlineStoreRequest.ProtoReflect.Descriptor instead.

func (*CreateFeatureOnlineStoreRequest) GetFeatureOnlineStore 

func (x *CreateFeatureOnlineStoreRequest) GetFeatureOnlineStore() *FeatureOnlineStore

func (*CreateFeatureOnlineStoreRequest) GetFeatureOnlineStoreId 

func (x *CreateFeatureOnlineStoreRequest) GetFeatureOnlineStoreId() string

func (*CreateFeatureOnlineStoreRequest) GetParent 

func (x *CreateFeatureOnlineStoreRequest) GetParent() string

func (*CreateFeatureOnlineStoreRequest) ProtoMessage 

func (*CreateFeatureOnlineStoreRequest) ProtoMessage()

func (*CreateFeatureOnlineStoreRequest) ProtoReflect 

func (x *CreateFeatureOnlineStoreRequest) ProtoReflect() protoreflect.Message

func (*CreateFeatureOnlineStoreRequest) Reset 

func (x *CreateFeatureOnlineStoreRequest) Reset()

func (*CreateFeatureOnlineStoreRequest) String 

func (x *CreateFeatureOnlineStoreRequest) String() string

type CreateFeatureOperationMetadata 

type CreateFeatureOperationMetadata struct {

	// Operation metadata for Feature.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create Feature.

func (*CreateFeatureOperationMetadata) Descriptor 

func (*CreateFeatureOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateFeatureOperationMetadata) GetGenericMetadata 

func (x *CreateFeatureOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateFeatureOperationMetadata) ProtoMessage 

func (*CreateFeatureOperationMetadata) ProtoMessage()

func (*CreateFeatureOperationMetadata) ProtoReflect 

func (x *CreateFeatureOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateFeatureOperationMetadata) Reset 

func (x *CreateFeatureOperationMetadata) Reset()

func (*CreateFeatureOperationMetadata) String 

func (x *CreateFeatureOperationMetadata) String() string

type CreateFeatureRequest 

type CreateFeatureRequest struct {

	// Required. The resource name of the EntityType or FeatureGroup to create a
	// Feature. Format for entity_type as parent:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	// Format for feature_group as parent:
	// `projects/{project}/locations/{location}/featureGroups/{feature_group}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Feature to create.
	Feature *Feature `protobuf:"bytes,2,opt,name=feature,proto3" json:"feature,omitempty"`
	// Required. The ID to use for the Feature, which will become the final
	// component of the Feature's resource name.
	//
	// This value may be up to 128 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within an EntityType/FeatureGroup.
	FeatureId string `protobuf:"bytes,3,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature]. Request message for [FeatureRegistryService.CreateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeature].

func (*CreateFeatureRequest) Descriptor 

func (*CreateFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureRequest.ProtoReflect.Descriptor instead.

func (*CreateFeatureRequest) GetFeature 

func (x *CreateFeatureRequest) GetFeature() *Feature

func (*CreateFeatureRequest) GetFeatureId 

func (x *CreateFeatureRequest) GetFeatureId() string

func (*CreateFeatureRequest) GetParent 

func (x *CreateFeatureRequest) GetParent() string

func (*CreateFeatureRequest) ProtoMessage 

func (*CreateFeatureRequest) ProtoMessage()

func (*CreateFeatureRequest) ProtoReflect 

func (x *CreateFeatureRequest) ProtoReflect() protoreflect.Message

func (*CreateFeatureRequest) Reset 

func (x *CreateFeatureRequest) Reset()

func (*CreateFeatureRequest) String 

func (x *CreateFeatureRequest) String() string

type CreateFeatureViewOperationMetadata 

type CreateFeatureViewOperationMetadata struct {

	// Operation metadata for FeatureView Create.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create FeatureView.

func (*CreateFeatureViewOperationMetadata) Descriptor 

func (*CreateFeatureViewOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureViewOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateFeatureViewOperationMetadata) GetGenericMetadata 

func (x *CreateFeatureViewOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateFeatureViewOperationMetadata) ProtoMessage 

func (*CreateFeatureViewOperationMetadata) ProtoMessage()

func (*CreateFeatureViewOperationMetadata) ProtoReflect 

func (x *CreateFeatureViewOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateFeatureViewOperationMetadata) Reset 

func (x *CreateFeatureViewOperationMetadata) Reset()

func (*CreateFeatureViewOperationMetadata) String 

func (x *CreateFeatureViewOperationMetadata) String() string

type CreateFeatureViewRequest 

type CreateFeatureViewRequest struct {

	// Required. The resource name of the FeatureOnlineStore to create
	// FeatureViews. Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The FeatureView to create.
	FeatureView *FeatureView `protobuf:"bytes,2,opt,name=feature_view,json=featureView,proto3" json:"feature_view,omitempty"`
	// Required. The ID to use for the FeatureView, which will become the final
	// component of the FeatureView's resource name.
	//
	// This value may be up to 60 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within a FeatureOnlineStore.
	FeatureViewId string `protobuf:"bytes,3,opt,name=feature_view_id,json=featureViewId,proto3" json:"feature_view_id,omitempty"`
	// Immutable. If set to true, one on demand sync will be run immediately,
	// regardless whether the
	// [FeatureView.sync_config][google.cloud.aiplatform.v1.FeatureView.sync_config]
	// is configured or not.
	RunSyncImmediately bool `protobuf:"varint,4,opt,name=run_sync_immediately,json=runSyncImmediately,proto3" json:"run_sync_immediately,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureView].

func (*CreateFeatureViewRequest) Descriptor 

func (*CreateFeatureViewRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureViewRequest.ProtoReflect.Descriptor instead.

func (*CreateFeatureViewRequest) GetFeatureView 

func (x *CreateFeatureViewRequest) GetFeatureView() *FeatureView

func (*CreateFeatureViewRequest) GetFeatureViewId 

func (x *CreateFeatureViewRequest) GetFeatureViewId() string

func (*CreateFeatureViewRequest) GetParent 

func (x *CreateFeatureViewRequest) GetParent() string

func (*CreateFeatureViewRequest) GetRunSyncImmediately 

func (x *CreateFeatureViewRequest) GetRunSyncImmediately() bool

func (*CreateFeatureViewRequest) ProtoMessage 

func (*CreateFeatureViewRequest) ProtoMessage()

func (*CreateFeatureViewRequest) ProtoReflect 

func (x *CreateFeatureViewRequest) ProtoReflect() protoreflect.Message

func (*CreateFeatureViewRequest) Reset 

func (x *CreateFeatureViewRequest) Reset()

func (*CreateFeatureViewRequest) String 

func (x *CreateFeatureViewRequest) String() string

type CreateFeaturestoreOperationMetadata 

type CreateFeaturestoreOperationMetadata struct {

	// Operation metadata for Featurestore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create Featurestore.

func (*CreateFeaturestoreOperationMetadata) Descriptor 

func (*CreateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateFeaturestoreOperationMetadata) GetGenericMetadata 

func (x *CreateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateFeaturestoreOperationMetadata) ProtoMessage 

func (*CreateFeaturestoreOperationMetadata) ProtoMessage()

func (*CreateFeaturestoreOperationMetadata) ProtoReflect 

func (x *CreateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateFeaturestoreOperationMetadata) Reset 

func (x *CreateFeaturestoreOperationMetadata) Reset()

func (*CreateFeaturestoreOperationMetadata) String 

func (x *CreateFeaturestoreOperationMetadata) String() string

type CreateFeaturestoreRequest 

type CreateFeaturestoreRequest struct {

	// Required. The resource name of the Location to create Featurestores.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Featurestore to create.
	Featurestore *Featurestore `protobuf:"bytes,2,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
	// Required. The ID to use for this Featurestore, which will become the final
	// component of the Featurestore's resource name.
	//
	// This value may be up to 60 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within the project and location.
	FeaturestoreId string `protobuf:"bytes,3,opt,name=featurestore_id,json=featurestoreId,proto3" json:"featurestore_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].

func (*CreateFeaturestoreRequest) Descriptor 

func (*CreateFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*CreateFeaturestoreRequest) GetFeaturestore 

func (x *CreateFeaturestoreRequest) GetFeaturestore() *Featurestore

func (*CreateFeaturestoreRequest) GetFeaturestoreId 

func (x *CreateFeaturestoreRequest) GetFeaturestoreId() string

func (*CreateFeaturestoreRequest) GetParent 

func (x *CreateFeaturestoreRequest) GetParent() string

func (*CreateFeaturestoreRequest) ProtoMessage 

func (*CreateFeaturestoreRequest) ProtoMessage()

func (*CreateFeaturestoreRequest) ProtoReflect 

func (x *CreateFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*CreateFeaturestoreRequest) Reset 

func (x *CreateFeaturestoreRequest) Reset()

func (*CreateFeaturestoreRequest) String 

func (x *CreateFeaturestoreRequest) String() string

type CreateHyperparameterTuningJobRequest 

type CreateHyperparameterTuningJobRequest struct {

	// Required. The resource name of the Location to create the
	// HyperparameterTuningJob in. Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The HyperparameterTuningJob to create.
	HyperparameterTuningJob *HyperparameterTuningJob `protobuf:"bytes,2,opt,name=hyperparameter_tuning_job,json=hyperparameterTuningJob,proto3" json:"hyperparameter_tuning_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].

func (*CreateHyperparameterTuningJobRequest) Descriptor 

func (*CreateHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*CreateHyperparameterTuningJobRequest) GetHyperparameterTuningJob 

func (x *CreateHyperparameterTuningJobRequest) GetHyperparameterTuningJob() *HyperparameterTuningJob

func (*CreateHyperparameterTuningJobRequest) GetParent 

func (x *CreateHyperparameterTuningJobRequest) GetParent() string

func (*CreateHyperparameterTuningJobRequest) ProtoMessage 

func (*CreateHyperparameterTuningJobRequest) ProtoMessage()

func (*CreateHyperparameterTuningJobRequest) ProtoReflect 

func (x *CreateHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*CreateHyperparameterTuningJobRequest) Reset 

func (x *CreateHyperparameterTuningJobRequest) Reset()

func (*CreateHyperparameterTuningJobRequest) String 

func (x *CreateHyperparameterTuningJobRequest) String() string

type CreateIndexEndpointOperationMetadata 

type CreateIndexEndpointOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].

func (*CreateIndexEndpointOperationMetadata) Descriptor 

func (*CreateIndexEndpointOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexEndpointOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateIndexEndpointOperationMetadata) GetGenericMetadata 

func (x *CreateIndexEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateIndexEndpointOperationMetadata) ProtoMessage 

func (*CreateIndexEndpointOperationMetadata) ProtoMessage()

func (*CreateIndexEndpointOperationMetadata) ProtoReflect 

func (x *CreateIndexEndpointOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateIndexEndpointOperationMetadata) Reset 

func (x *CreateIndexEndpointOperationMetadata) Reset()

func (*CreateIndexEndpointOperationMetadata) String 

func (x *CreateIndexEndpointOperationMetadata) String() string

type CreateIndexEndpointRequest 

type CreateIndexEndpointRequest struct {

	// Required. The resource name of the Location to create the IndexEndpoint in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The IndexEndpoint to create.
	IndexEndpoint *IndexEndpoint `protobuf:"bytes,2,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].

func (*CreateIndexEndpointRequest) Descriptor 

func (*CreateIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*CreateIndexEndpointRequest) GetIndexEndpoint 

func (x *CreateIndexEndpointRequest) GetIndexEndpoint() *IndexEndpoint

func (*CreateIndexEndpointRequest) GetParent 

func (x *CreateIndexEndpointRequest) GetParent() string

func (*CreateIndexEndpointRequest) ProtoMessage 

func (*CreateIndexEndpointRequest) ProtoMessage()

func (*CreateIndexEndpointRequest) ProtoReflect 

func (x *CreateIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*CreateIndexEndpointRequest) Reset 

func (x *CreateIndexEndpointRequest) Reset()

func (*CreateIndexEndpointRequest) String 

func (x *CreateIndexEndpointRequest) String() string

type CreateIndexOperationMetadata 

type CreateIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The operation metadata with regard to Matching Engine Index operation.
	NearestNeighborSearchOperationMetadata *NearestNeighborSearchOperationMetadata `protobuf:"bytes,2,opt,name=nearest_neighbor_search_operation_metadata,json=nearestNeighborSearchOperationMetadata,proto3" json:"nearest_neighbor_search_operation_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].

func (*CreateIndexOperationMetadata) Descriptor 

func (*CreateIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateIndexOperationMetadata) GetGenericMetadata 

func (x *CreateIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata 

func (x *CreateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata() *NearestNeighborSearchOperationMetadata

func (*CreateIndexOperationMetadata) ProtoMessage 

func (*CreateIndexOperationMetadata) ProtoMessage()

func (*CreateIndexOperationMetadata) ProtoReflect 

func (x *CreateIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateIndexOperationMetadata) Reset 

func (x *CreateIndexOperationMetadata) Reset()

func (*CreateIndexOperationMetadata) String 

func (x *CreateIndexOperationMetadata) String() string

type CreateIndexRequest 

type CreateIndexRequest struct {

	// Required. The resource name of the Location to create the Index in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Index to create.
	Index *Index `protobuf:"bytes,2,opt,name=index,proto3" json:"index,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].

func (*CreateIndexRequest) Descriptor 

func (*CreateIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexRequest.ProtoReflect.Descriptor instead.

func (*CreateIndexRequest) GetIndex 

func (x *CreateIndexRequest) GetIndex() *Index

func (*CreateIndexRequest) GetParent 

func (x *CreateIndexRequest) GetParent() string

func (*CreateIndexRequest) ProtoMessage 

func (*CreateIndexRequest) ProtoMessage()

func (*CreateIndexRequest) ProtoReflect 

func (x *CreateIndexRequest) ProtoReflect() protoreflect.Message

func (*CreateIndexRequest) Reset 

func (x *CreateIndexRequest) Reset()

func (*CreateIndexRequest) String 

func (x *CreateIndexRequest) String() string

type CreateMetadataSchemaRequest 

type CreateMetadataSchemaRequest struct {

	// Required. The resource name of the MetadataStore where the MetadataSchema
	// should be created. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The MetadataSchema to create.
	MetadataSchema *MetadataSchema `protobuf:"bytes,2,opt,name=metadata_schema,json=metadataSchema,proto3" json:"metadata_schema,omitempty"`
	// The {metadata_schema} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`
	// If not provided, the MetadataStore's ID will be a UUID generated by the
	// service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all MetadataSchemas in the parent Location.
	// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
	// if the caller can't view the preexisting MetadataSchema.)
	MetadataSchemaId string `protobuf:"bytes,3,opt,name=metadata_schema_id,json=metadataSchemaId,proto3" json:"metadata_schema_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].

func (*CreateMetadataSchemaRequest) Descriptor 

func (*CreateMetadataSchemaRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateMetadataSchemaRequest.ProtoReflect.Descriptor instead.

func (*CreateMetadataSchemaRequest) GetMetadataSchema 

func (x *CreateMetadataSchemaRequest) GetMetadataSchema() *MetadataSchema

func (*CreateMetadataSchemaRequest) GetMetadataSchemaId 

func (x *CreateMetadataSchemaRequest) GetMetadataSchemaId() string

func (*CreateMetadataSchemaRequest) GetParent 

func (x *CreateMetadataSchemaRequest) GetParent() string

func (*CreateMetadataSchemaRequest) ProtoMessage 

func (*CreateMetadataSchemaRequest) ProtoMessage()

func (*CreateMetadataSchemaRequest) ProtoReflect 

func (x *CreateMetadataSchemaRequest) ProtoReflect() protoreflect.Message

func (*CreateMetadataSchemaRequest) Reset 

func (x *CreateMetadataSchemaRequest) Reset()

func (*CreateMetadataSchemaRequest) String 

func (x *CreateMetadataSchemaRequest) String() string

type CreateMetadataStoreOperationMetadata 

type CreateMetadataStoreOperationMetadata struct {

	// Operation metadata for creating a MetadataStore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].

func (*CreateMetadataStoreOperationMetadata) Descriptor 

func (*CreateMetadataStoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateMetadataStoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateMetadataStoreOperationMetadata) GetGenericMetadata 

func (x *CreateMetadataStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateMetadataStoreOperationMetadata) ProtoMessage 

func (*CreateMetadataStoreOperationMetadata) ProtoMessage()

func (*CreateMetadataStoreOperationMetadata) ProtoReflect 

func (x *CreateMetadataStoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateMetadataStoreOperationMetadata) Reset 

func (x *CreateMetadataStoreOperationMetadata) Reset()

func (*CreateMetadataStoreOperationMetadata) String 

func (x *CreateMetadataStoreOperationMetadata) String() string

type CreateMetadataStoreRequest 

type CreateMetadataStoreRequest struct {

	// Required. The resource name of the Location where the MetadataStore should
	// be created.
	// Format: `projects/{project}/locations/{location}/`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The MetadataStore to create.
	MetadataStore *MetadataStore `protobuf:"bytes,2,opt,name=metadata_store,json=metadataStore,proto3" json:"metadata_store,omitempty"`
	// The {metadatastore} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	// If not provided, the MetadataStore's ID will be a UUID generated by the
	// service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all MetadataStores in the parent Location.
	// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
	// if the caller can't view the preexisting MetadataStore.)
	MetadataStoreId string `protobuf:"bytes,3,opt,name=metadata_store_id,json=metadataStoreId,proto3" json:"metadata_store_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].

func (*CreateMetadataStoreRequest) Descriptor 

func (*CreateMetadataStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateMetadataStoreRequest.ProtoReflect.Descriptor instead.

func (*CreateMetadataStoreRequest) GetMetadataStore 

func (x *CreateMetadataStoreRequest) GetMetadataStore() *MetadataStore

func (*CreateMetadataStoreRequest) GetMetadataStoreId 

func (x *CreateMetadataStoreRequest) GetMetadataStoreId() string

func (*CreateMetadataStoreRequest) GetParent 

func (x *CreateMetadataStoreRequest) GetParent() string

func (*CreateMetadataStoreRequest) ProtoMessage 

func (*CreateMetadataStoreRequest) ProtoMessage()

func (*CreateMetadataStoreRequest) ProtoReflect 

func (x *CreateMetadataStoreRequest) ProtoReflect() protoreflect.Message

func (*CreateMetadataStoreRequest) Reset 

func (x *CreateMetadataStoreRequest) Reset()

func (*CreateMetadataStoreRequest) String 

func (x *CreateMetadataStoreRequest) String() string

type CreateModelDeploymentMonitoringJobRequest 

type CreateModelDeploymentMonitoringJobRequest struct {

	// Required. The parent of the ModelDeploymentMonitoringJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The ModelDeploymentMonitoringJob to create
	ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob `protobuf:"bytes,2,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].

func (*CreateModelDeploymentMonitoringJobRequest) Descriptor 

func (*CreateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*CreateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob 

func (x *CreateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob

func (*CreateModelDeploymentMonitoringJobRequest) GetParent 

func (x *CreateModelDeploymentMonitoringJobRequest) GetParent() string

func (*CreateModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*CreateModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*CreateModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *CreateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*CreateModelDeploymentMonitoringJobRequest) Reset 

func (x *CreateModelDeploymentMonitoringJobRequest) Reset()

func (*CreateModelDeploymentMonitoringJobRequest) String 

func (x *CreateModelDeploymentMonitoringJobRequest) String() string

type CreateNasJobRequest 

type CreateNasJobRequest struct {

	// Required. The resource name of the Location to create the NasJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The NasJob to create.
	NasJob *NasJob `protobuf:"bytes,2,opt,name=nas_job,json=nasJob,proto3" json:"nas_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateNasJob][google.cloud.aiplatform.v1.JobService.CreateNasJob].

func (*CreateNasJobRequest) Descriptor 

func (*CreateNasJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateNasJobRequest.ProtoReflect.Descriptor instead.

func (*CreateNasJobRequest) GetNasJob 

func (x *CreateNasJobRequest) GetNasJob() *NasJob

func (*CreateNasJobRequest) GetParent 

func (x *CreateNasJobRequest) GetParent() string

func (*CreateNasJobRequest) ProtoMessage 

func (*CreateNasJobRequest) ProtoMessage()

func (*CreateNasJobRequest) ProtoReflect 

func (x *CreateNasJobRequest) ProtoReflect() protoreflect.Message

func (*CreateNasJobRequest) Reset 

func (x *CreateNasJobRequest) Reset()

func (*CreateNasJobRequest) String 

func (x *CreateNasJobRequest) String() string

type CreateNotebookExecutionJobOperationMetadata 

type CreateNotebookExecutionJobOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// A human-readable message that shows the intermediate progress details of
	// NotebookRuntime.
	ProgressMessage string `protobuf:"bytes,2,opt,name=progress_message,json=progressMessage,proto3" json:"progress_message,omitempty"`
	// contains filtered or unexported fields
}

Metadata information for [NotebookService.CreateNotebookExecutionJob][google.cloud.aiplatform.v1.NotebookService.CreateNotebookExecutionJob].

func (*CreateNotebookExecutionJobOperationMetadata) Descriptor 

func (*CreateNotebookExecutionJobOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateNotebookExecutionJobOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateNotebookExecutionJobOperationMetadata) GetGenericMetadata 

func (x *CreateNotebookExecutionJobOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateNotebookExecutionJobOperationMetadata) GetProgressMessage 

func (x *CreateNotebookExecutionJobOperationMetadata) GetProgressMessage() string

func (*CreateNotebookExecutionJobOperationMetadata) ProtoMessage 

func (*CreateNotebookExecutionJobOperationMetadata) ProtoMessage()

func (*CreateNotebookExecutionJobOperationMetadata) ProtoReflect 

func (x *CreateNotebookExecutionJobOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateNotebookExecutionJobOperationMetadata) Reset 

func (x *CreateNotebookExecutionJobOperationMetadata) Reset()

func (*CreateNotebookExecutionJobOperationMetadata) String 

func (x *CreateNotebookExecutionJobOperationMetadata) String() string

type CreateNotebookExecutionJobRequest 

type CreateNotebookExecutionJobRequest struct {

	// Required. The resource name of the Location to create the
	// NotebookExecutionJob. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The NotebookExecutionJob to create.
	NotebookExecutionJob *NotebookExecutionJob `protobuf:"bytes,2,opt,name=notebook_execution_job,json=notebookExecutionJob,proto3" json:"notebook_execution_job,omitempty"`
	// Optional. User specified ID for the NotebookExecutionJob.
	NotebookExecutionJobId string `protobuf:"bytes,3,opt,name=notebook_execution_job_id,json=notebookExecutionJobId,proto3" json:"notebook_execution_job_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.CreateNotebookExecutionJob]

func (*CreateNotebookExecutionJobRequest) Descriptor 

func (*CreateNotebookExecutionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateNotebookExecutionJobRequest.ProtoReflect.Descriptor instead.

func (*CreateNotebookExecutionJobRequest) GetNotebookExecutionJob 

func (x *CreateNotebookExecutionJobRequest) GetNotebookExecutionJob() *NotebookExecutionJob

func (*CreateNotebookExecutionJobRequest) GetNotebookExecutionJobId 

func (x *CreateNotebookExecutionJobRequest) GetNotebookExecutionJobId() string

func (*CreateNotebookExecutionJobRequest) GetParent 

func (x *CreateNotebookExecutionJobRequest) GetParent() string

func (*CreateNotebookExecutionJobRequest) ProtoMessage 

func (*CreateNotebookExecutionJobRequest) ProtoMessage()

func (*CreateNotebookExecutionJobRequest) ProtoReflect 

func (x *CreateNotebookExecutionJobRequest) ProtoReflect() protoreflect.Message

func (*CreateNotebookExecutionJobRequest) Reset 

func (x *CreateNotebookExecutionJobRequest) Reset()

func (*CreateNotebookExecutionJobRequest) String 

func (x *CreateNotebookExecutionJobRequest) String() string

type CreateNotebookRuntimeTemplateOperationMetadata 

type CreateNotebookRuntimeTemplateOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Metadata information for [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.CreateNotebookRuntimeTemplate].

func (*CreateNotebookRuntimeTemplateOperationMetadata) Descriptor 

func (*CreateNotebookRuntimeTemplateOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateNotebookRuntimeTemplateOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateNotebookRuntimeTemplateOperationMetadata) GetGenericMetadata 

func (x *CreateNotebookRuntimeTemplateOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateNotebookRuntimeTemplateOperationMetadata) ProtoMessage 

func (*CreateNotebookRuntimeTemplateOperationMetadata) ProtoMessage()

func (*CreateNotebookRuntimeTemplateOperationMetadata) ProtoReflect 

func (x *CreateNotebookRuntimeTemplateOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateNotebookRuntimeTemplateOperationMetadata) Reset 

func (x *CreateNotebookRuntimeTemplateOperationMetadata) Reset()

func (*CreateNotebookRuntimeTemplateOperationMetadata) String 

func (x *CreateNotebookRuntimeTemplateOperationMetadata) String() string

type CreateNotebookRuntimeTemplateRequest 

type CreateNotebookRuntimeTemplateRequest struct {

	// Required. The resource name of the Location to create the
	// NotebookRuntimeTemplate. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The NotebookRuntimeTemplate to create.
	NotebookRuntimeTemplate *NotebookRuntimeTemplate `protobuf:"bytes,2,opt,name=notebook_runtime_template,json=notebookRuntimeTemplate,proto3" json:"notebook_runtime_template,omitempty"`
	// Optional. User specified ID for the notebook runtime template.
	NotebookRuntimeTemplateId string `protobuf:"bytes,3,opt,name=notebook_runtime_template_id,json=notebookRuntimeTemplateId,proto3" json:"notebook_runtime_template_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.CreateNotebookRuntimeTemplate].

func (*CreateNotebookRuntimeTemplateRequest) Descriptor 

func (*CreateNotebookRuntimeTemplateRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateNotebookRuntimeTemplateRequest.ProtoReflect.Descriptor instead.

func (*CreateNotebookRuntimeTemplateRequest) GetNotebookRuntimeTemplate 

func (x *CreateNotebookRuntimeTemplateRequest) GetNotebookRuntimeTemplate() *NotebookRuntimeTemplate

func (*CreateNotebookRuntimeTemplateRequest) GetNotebookRuntimeTemplateId 

func (x *CreateNotebookRuntimeTemplateRequest) GetNotebookRuntimeTemplateId() string

func (*CreateNotebookRuntimeTemplateRequest) GetParent 

func (x *CreateNotebookRuntimeTemplateRequest) GetParent() string

func (*CreateNotebookRuntimeTemplateRequest) ProtoMessage 

func (*CreateNotebookRuntimeTemplateRequest) ProtoMessage()

func (*CreateNotebookRuntimeTemplateRequest) ProtoReflect 

func (x *CreateNotebookRuntimeTemplateRequest) ProtoReflect() protoreflect.Message

func (*CreateNotebookRuntimeTemplateRequest) Reset 

func (x *CreateNotebookRuntimeTemplateRequest) Reset()

func (*CreateNotebookRuntimeTemplateRequest) String 

func (x *CreateNotebookRuntimeTemplateRequest) String() string

type CreatePersistentResourceOperationMetadata 

type CreatePersistentResourceOperationMetadata struct {

	// Operation metadata for PersistentResource.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Progress Message for Create LRO
	ProgressMessage string `protobuf:"bytes,2,opt,name=progress_message,json=progressMessage,proto3" json:"progress_message,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create PersistentResource.

func (*CreatePersistentResourceOperationMetadata) Descriptor 

func (*CreatePersistentResourceOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreatePersistentResourceOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreatePersistentResourceOperationMetadata) GetGenericMetadata 

func (x *CreatePersistentResourceOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreatePersistentResourceOperationMetadata) GetProgressMessage 

func (x *CreatePersistentResourceOperationMetadata) GetProgressMessage() string

func (*CreatePersistentResourceOperationMetadata) ProtoMessage 

func (*CreatePersistentResourceOperationMetadata) ProtoMessage()

func (*CreatePersistentResourceOperationMetadata) ProtoReflect 

func (x *CreatePersistentResourceOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreatePersistentResourceOperationMetadata) Reset 

func (x *CreatePersistentResourceOperationMetadata) Reset()

func (*CreatePersistentResourceOperationMetadata) String 

func (x *CreatePersistentResourceOperationMetadata) String() string

type CreatePersistentResourceRequest 

type CreatePersistentResourceRequest struct {

	// Required. The resource name of the Location to create the
	// PersistentResource in. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The PersistentResource to create.
	PersistentResource *PersistentResource `protobuf:"bytes,2,opt,name=persistent_resource,json=persistentResource,proto3" json:"persistent_resource,omitempty"`
	// Required. The ID to use for the PersistentResource, which become the final
	// component of the PersistentResource's resource name.
	//
	// The maximum length is 63 characters, and valid characters
	// are `/^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/`.
	PersistentResourceId string `protobuf:"bytes,3,opt,name=persistent_resource_id,json=persistentResourceId,proto3" json:"persistent_resource_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PersistentResourceService.CreatePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.CreatePersistentResource].

func (*CreatePersistentResourceRequest) Descriptor 

func (*CreatePersistentResourceRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreatePersistentResourceRequest.ProtoReflect.Descriptor instead.

func (*CreatePersistentResourceRequest) GetParent 

func (x *CreatePersistentResourceRequest) GetParent() string

func (*CreatePersistentResourceRequest) GetPersistentResource 

func (x *CreatePersistentResourceRequest) GetPersistentResource() *PersistentResource

func (*CreatePersistentResourceRequest) GetPersistentResourceId 

func (x *CreatePersistentResourceRequest) GetPersistentResourceId() string

func (*CreatePersistentResourceRequest) ProtoMessage 

func (*CreatePersistentResourceRequest) ProtoMessage()

func (*CreatePersistentResourceRequest) ProtoReflect 

func (x *CreatePersistentResourceRequest) ProtoReflect() protoreflect.Message

func (*CreatePersistentResourceRequest) Reset 

func (x *CreatePersistentResourceRequest) Reset()

func (*CreatePersistentResourceRequest) String 

func (x *CreatePersistentResourceRequest) String() string

type CreatePipelineJobRequest 

type CreatePipelineJobRequest struct {

	// Required. The resource name of the Location to create the PipelineJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The PipelineJob to create.
	PipelineJob *PipelineJob `protobuf:"bytes,2,opt,name=pipeline_job,json=pipelineJob,proto3" json:"pipeline_job,omitempty"`
	// The ID to use for the PipelineJob, which will become the final component of
	// the PipelineJob name. If not provided, an ID will be automatically
	// generated.
	//
	// This value should be less than 128 characters, and valid characters
	// are `/[a-z][0-9]-/`.
	PipelineJobId string `protobuf:"bytes,3,opt,name=pipeline_job_id,json=pipelineJobId,proto3" json:"pipeline_job_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].

func (*CreatePipelineJobRequest) Descriptor 

func (*CreatePipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreatePipelineJobRequest.ProtoReflect.Descriptor instead.

func (*CreatePipelineJobRequest) GetParent 

func (x *CreatePipelineJobRequest) GetParent() string

func (*CreatePipelineJobRequest) GetPipelineJob 

func (x *CreatePipelineJobRequest) GetPipelineJob() *PipelineJob

func (*CreatePipelineJobRequest) GetPipelineJobId 

func (x *CreatePipelineJobRequest) GetPipelineJobId() string

func (*CreatePipelineJobRequest) ProtoMessage 

func (*CreatePipelineJobRequest) ProtoMessage()

func (*CreatePipelineJobRequest) ProtoReflect 

func (x *CreatePipelineJobRequest) ProtoReflect() protoreflect.Message

func (*CreatePipelineJobRequest) Reset 

func (x *CreatePipelineJobRequest) Reset()

func (*CreatePipelineJobRequest) String 

func (x *CreatePipelineJobRequest) String() string

type CreateRagCorpusOperationMetadata 

type CreateRagCorpusOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.CreateRagCorpus].

func (*CreateRagCorpusOperationMetadata) Descriptor 

func (*CreateRagCorpusOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateRagCorpusOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateRagCorpusOperationMetadata) GetGenericMetadata 

func (x *CreateRagCorpusOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateRagCorpusOperationMetadata) ProtoMessage 

func (*CreateRagCorpusOperationMetadata) ProtoMessage()

func (*CreateRagCorpusOperationMetadata) ProtoReflect 

func (x *CreateRagCorpusOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateRagCorpusOperationMetadata) Reset 

func (x *CreateRagCorpusOperationMetadata) Reset()

func (*CreateRagCorpusOperationMetadata) String 

func (x *CreateRagCorpusOperationMetadata) String() string

type CreateRagCorpusRequest 

type CreateRagCorpusRequest struct {

	// Required. The resource name of the Location to create the RagCorpus in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The RagCorpus to create.
	RagCorpus *RagCorpus `protobuf:"bytes,2,opt,name=rag_corpus,json=ragCorpus,proto3" json:"rag_corpus,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.CreateRagCorpus].

func (*CreateRagCorpusRequest) Descriptor 

func (*CreateRagCorpusRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateRagCorpusRequest.ProtoReflect.Descriptor instead.

func (*CreateRagCorpusRequest) GetParent 

func (x *CreateRagCorpusRequest) GetParent() string

func (*CreateRagCorpusRequest) GetRagCorpus 

func (x *CreateRagCorpusRequest) GetRagCorpus() *RagCorpus

func (*CreateRagCorpusRequest) ProtoMessage 

func (*CreateRagCorpusRequest) ProtoMessage()

func (*CreateRagCorpusRequest) ProtoReflect 

func (x *CreateRagCorpusRequest) ProtoReflect() protoreflect.Message

func (*CreateRagCorpusRequest) Reset 

func (x *CreateRagCorpusRequest) Reset()

func (*CreateRagCorpusRequest) String 

func (x *CreateRagCorpusRequest) String() string

type CreateReasoningEngineOperationMetadata 

type CreateReasoningEngineOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of [ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.CreateReasoningEngine] operation.

func (*CreateReasoningEngineOperationMetadata) Descriptor 

func (*CreateReasoningEngineOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateReasoningEngineOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateReasoningEngineOperationMetadata) GetGenericMetadata 

func (x *CreateReasoningEngineOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateReasoningEngineOperationMetadata) ProtoMessage 

func (*CreateReasoningEngineOperationMetadata) ProtoMessage()

func (*CreateReasoningEngineOperationMetadata) ProtoReflect 

func (x *CreateReasoningEngineOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateReasoningEngineOperationMetadata) Reset 

func (x *CreateReasoningEngineOperationMetadata) Reset()

func (*CreateReasoningEngineOperationMetadata) String 

func (x *CreateReasoningEngineOperationMetadata) String() string

type CreateReasoningEngineRequest 

type CreateReasoningEngineRequest struct {

	// Required. The resource name of the Location to create the ReasoningEngine
	// in. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The ReasoningEngine to create.
	ReasoningEngine *ReasoningEngine `protobuf:"bytes,2,opt,name=reasoning_engine,json=reasoningEngine,proto3" json:"reasoning_engine,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.CreateReasoningEngine].

func (*CreateReasoningEngineRequest) Descriptor 

func (*CreateReasoningEngineRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateReasoningEngineRequest.ProtoReflect.Descriptor instead.

func (*CreateReasoningEngineRequest) GetParent 

func (x *CreateReasoningEngineRequest) GetParent() string

func (*CreateReasoningEngineRequest) GetReasoningEngine 

func (x *CreateReasoningEngineRequest) GetReasoningEngine() *ReasoningEngine

func (*CreateReasoningEngineRequest) ProtoMessage 

func (*CreateReasoningEngineRequest) ProtoMessage()

func (*CreateReasoningEngineRequest) ProtoReflect 

func (x *CreateReasoningEngineRequest) ProtoReflect() protoreflect.Message

func (*CreateReasoningEngineRequest) Reset 

func (x *CreateReasoningEngineRequest) Reset()

func (*CreateReasoningEngineRequest) String 

func (x *CreateReasoningEngineRequest) String() string

type CreateRegistryFeatureOperationMetadata 

type CreateRegistryFeatureOperationMetadata struct {

	// Operation metadata for Feature.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create FeatureGroup.

func (*CreateRegistryFeatureOperationMetadata) Descriptor 

func (*CreateRegistryFeatureOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateRegistryFeatureOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateRegistryFeatureOperationMetadata) GetGenericMetadata 

func (x *CreateRegistryFeatureOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateRegistryFeatureOperationMetadata) ProtoMessage 

func (*CreateRegistryFeatureOperationMetadata) ProtoMessage()

func (*CreateRegistryFeatureOperationMetadata) ProtoReflect 

func (x *CreateRegistryFeatureOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateRegistryFeatureOperationMetadata) Reset 

func (x *CreateRegistryFeatureOperationMetadata) Reset()

func (*CreateRegistryFeatureOperationMetadata) String 

func (x *CreateRegistryFeatureOperationMetadata) String() string

type CreateScheduleRequest 

type CreateScheduleRequest struct {

	// Required. The resource name of the Location to create the Schedule in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Schedule to create.
	Schedule *Schedule `protobuf:"bytes,2,opt,name=schedule,proto3" json:"schedule,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ScheduleService.CreateSchedule][google.cloud.aiplatform.v1.ScheduleService.CreateSchedule].

func (*CreateScheduleRequest) Descriptor 

func (*CreateScheduleRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateScheduleRequest.ProtoReflect.Descriptor instead.

func (*CreateScheduleRequest) GetParent 

func (x *CreateScheduleRequest) GetParent() string

func (*CreateScheduleRequest) GetSchedule 

func (x *CreateScheduleRequest) GetSchedule() *Schedule

func (*CreateScheduleRequest) ProtoMessage 

func (*CreateScheduleRequest) ProtoMessage()

func (*CreateScheduleRequest) ProtoReflect 

func (x *CreateScheduleRequest) ProtoReflect() protoreflect.Message

func (*CreateScheduleRequest) Reset 

func (x *CreateScheduleRequest) Reset()

func (*CreateScheduleRequest) String 

func (x *CreateScheduleRequest) String() string

type CreateSpecialistPoolOperationMetadata 

type CreateSpecialistPoolOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].

func (*CreateSpecialistPoolOperationMetadata) Descriptor 

func (*CreateSpecialistPoolOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateSpecialistPoolOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateSpecialistPoolOperationMetadata) GetGenericMetadata 

func (x *CreateSpecialistPoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateSpecialistPoolOperationMetadata) ProtoMessage 

func (*CreateSpecialistPoolOperationMetadata) ProtoMessage()

func (*CreateSpecialistPoolOperationMetadata) ProtoReflect 

func (x *CreateSpecialistPoolOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateSpecialistPoolOperationMetadata) Reset 

func (x *CreateSpecialistPoolOperationMetadata) Reset()

func (*CreateSpecialistPoolOperationMetadata) String 

func (x *CreateSpecialistPoolOperationMetadata) String() string

type CreateSpecialistPoolRequest 

type CreateSpecialistPoolRequest struct {

	// Required. The parent Project name for the new SpecialistPool.
	// The form is `projects/{project}/locations/{location}`.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The SpecialistPool to create.
	SpecialistPool *SpecialistPool `protobuf:"bytes,2,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].

func (*CreateSpecialistPoolRequest) Descriptor 

func (*CreateSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*CreateSpecialistPoolRequest) GetParent 

func (x *CreateSpecialistPoolRequest) GetParent() string

func (*CreateSpecialistPoolRequest) GetSpecialistPool 

func (x *CreateSpecialistPoolRequest) GetSpecialistPool() *SpecialistPool

func (*CreateSpecialistPoolRequest) ProtoMessage 

func (*CreateSpecialistPoolRequest) ProtoMessage()

func (*CreateSpecialistPoolRequest) ProtoReflect 

func (x *CreateSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*CreateSpecialistPoolRequest) Reset 

func (x *CreateSpecialistPoolRequest) Reset()

func (*CreateSpecialistPoolRequest) String 

func (x *CreateSpecialistPoolRequest) String() string

type CreateStudyRequest 

type CreateStudyRequest struct {

	// Required. The resource name of the Location to create the CustomJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Study configuration used to create the Study.
	Study *Study `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].

func (*CreateStudyRequest) Descriptor 

func (*CreateStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateStudyRequest.ProtoReflect.Descriptor instead.

func (*CreateStudyRequest) GetParent 

func (x *CreateStudyRequest) GetParent() string

func (*CreateStudyRequest) GetStudy 

func (x *CreateStudyRequest) GetStudy() *Study

func (*CreateStudyRequest) ProtoMessage 

func (*CreateStudyRequest) ProtoMessage()

func (*CreateStudyRequest) ProtoReflect 

func (x *CreateStudyRequest) ProtoReflect() protoreflect.Message

func (*CreateStudyRequest) Reset 

func (x *CreateStudyRequest) Reset()

func (*CreateStudyRequest) String 

func (x *CreateStudyRequest) String() string

type CreateTensorboardExperimentRequest 

type CreateTensorboardExperimentRequest struct {

	// Required. The resource name of the Tensorboard to create the
	// TensorboardExperiment in. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The TensorboardExperiment to create.
	TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
	// Required. The ID to use for the Tensorboard experiment, which becomes the
	// final component of the Tensorboard experiment's resource name.
	//
	// This value should be 1-128 characters, and valid characters
	// are `/[a-z][0-9]-/`.
	TensorboardExperimentId string `protobuf:"bytes,3,opt,name=tensorboard_experiment_id,json=tensorboardExperimentId,proto3" json:"tensorboard_experiment_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].

func (*CreateTensorboardExperimentRequest) Descriptor 

func (*CreateTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardExperimentRequest) GetParent 

func (x *CreateTensorboardExperimentRequest) GetParent() string

func (*CreateTensorboardExperimentRequest) GetTensorboardExperiment 

func (x *CreateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment

func (*CreateTensorboardExperimentRequest) GetTensorboardExperimentId 

func (x *CreateTensorboardExperimentRequest) GetTensorboardExperimentId() string

func (*CreateTensorboardExperimentRequest) ProtoMessage 

func (*CreateTensorboardExperimentRequest) ProtoMessage()

func (*CreateTensorboardExperimentRequest) ProtoReflect 

func (x *CreateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardExperimentRequest) Reset 

func (x *CreateTensorboardExperimentRequest) Reset()

func (*CreateTensorboardExperimentRequest) String 

func (x *CreateTensorboardExperimentRequest) String() string

type CreateTensorboardOperationMetadata 

type CreateTensorboardOperationMetadata struct {

	// Operation metadata for Tensorboard.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create Tensorboard.

func (*CreateTensorboardOperationMetadata) Descriptor 

func (*CreateTensorboardOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateTensorboardOperationMetadata) GetGenericMetadata 

func (x *CreateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateTensorboardOperationMetadata) ProtoMessage 

func (*CreateTensorboardOperationMetadata) ProtoMessage()

func (*CreateTensorboardOperationMetadata) ProtoReflect 

func (x *CreateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateTensorboardOperationMetadata) Reset 

func (x *CreateTensorboardOperationMetadata) Reset()

func (*CreateTensorboardOperationMetadata) String 

func (x *CreateTensorboardOperationMetadata) String() string

type CreateTensorboardRequest 

type CreateTensorboardRequest struct {

	// Required. The resource name of the Location to create the Tensorboard in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Tensorboard to create.
	Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].

func (*CreateTensorboardRequest) Descriptor 

func (*CreateTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardRequest) GetParent 

func (x *CreateTensorboardRequest) GetParent() string

func (*CreateTensorboardRequest) GetTensorboard 

func (x *CreateTensorboardRequest) GetTensorboard() *Tensorboard

func (*CreateTensorboardRequest) ProtoMessage 

func (*CreateTensorboardRequest) ProtoMessage()

func (*CreateTensorboardRequest) ProtoReflect 

func (x *CreateTensorboardRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardRequest) Reset 

func (x *CreateTensorboardRequest) Reset()

func (*CreateTensorboardRequest) String 

func (x *CreateTensorboardRequest) String() string

type CreateTensorboardRunRequest 

type CreateTensorboardRunRequest struct {

	// Required. The resource name of the TensorboardExperiment to create the
	// TensorboardRun in. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The TensorboardRun to create.
	TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// Required. The ID to use for the Tensorboard run, which becomes the final
	// component of the Tensorboard run's resource name.
	//
	// This value should be 1-128 characters, and valid characters
	// are `/[a-z][0-9]-/`.
	TensorboardRunId string `protobuf:"bytes,3,opt,name=tensorboard_run_id,json=tensorboardRunId,proto3" json:"tensorboard_run_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].

func (*CreateTensorboardRunRequest) Descriptor 

func (*CreateTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardRunRequest) GetParent 

func (x *CreateTensorboardRunRequest) GetParent() string

func (*CreateTensorboardRunRequest) GetTensorboardRun 

func (x *CreateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun

func (*CreateTensorboardRunRequest) GetTensorboardRunId 

func (x *CreateTensorboardRunRequest) GetTensorboardRunId() string

func (*CreateTensorboardRunRequest) ProtoMessage 

func (*CreateTensorboardRunRequest) ProtoMessage()

func (*CreateTensorboardRunRequest) ProtoReflect 

func (x *CreateTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardRunRequest) Reset 

func (x *CreateTensorboardRunRequest) Reset()

func (*CreateTensorboardRunRequest) String 

func (x *CreateTensorboardRunRequest) String() string

type CreateTensorboardTimeSeriesRequest 

type CreateTensorboardTimeSeriesRequest struct {

	// Required. The resource name of the TensorboardRun to create the
	// TensorboardTimeSeries in.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The user specified unique ID to use for the
	// TensorboardTimeSeries, which becomes the final component of the
	// TensorboardTimeSeries's resource name. This value should match
	// "[a-z0-9][a-z0-9-]{0, 127}"
	TensorboardTimeSeriesId string `protobuf:"bytes,3,opt,name=tensorboard_time_series_id,json=tensorboardTimeSeriesId,proto3" json:"tensorboard_time_series_id,omitempty"`
	// Required. The TensorboardTimeSeries to create.
	TensorboardTimeSeries *TensorboardTimeSeries `protobuf:"bytes,2,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].

func (*CreateTensorboardTimeSeriesRequest) Descriptor 

func (*CreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardTimeSeriesRequest) GetParent 

func (x *CreateTensorboardTimeSeriesRequest) GetParent() string

func (*CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries 

func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries

func (*CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeriesId 

func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeriesId() string

func (*CreateTensorboardTimeSeriesRequest) ProtoMessage 

func (*CreateTensorboardTimeSeriesRequest) ProtoMessage()

func (*CreateTensorboardTimeSeriesRequest) ProtoReflect 

func (x *CreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardTimeSeriesRequest) Reset 

func (x *CreateTensorboardTimeSeriesRequest) Reset()

func (*CreateTensorboardTimeSeriesRequest) String 

func (x *CreateTensorboardTimeSeriesRequest) String() string

type CreateTrainingPipelineRequest 

type CreateTrainingPipelineRequest struct {

	// Required. The resource name of the Location to create the TrainingPipeline
	// in. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The TrainingPipeline to create.
	TrainingPipeline *TrainingPipeline `protobuf:"bytes,2,opt,name=training_pipeline,json=trainingPipeline,proto3" json:"training_pipeline,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].

func (*CreateTrainingPipelineRequest) Descriptor 

func (*CreateTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*CreateTrainingPipelineRequest) GetParent 

func (x *CreateTrainingPipelineRequest) GetParent() string

func (*CreateTrainingPipelineRequest) GetTrainingPipeline 

func (x *CreateTrainingPipelineRequest) GetTrainingPipeline() *TrainingPipeline

func (*CreateTrainingPipelineRequest) ProtoMessage 

func (*CreateTrainingPipelineRequest) ProtoMessage()

func (*CreateTrainingPipelineRequest) ProtoReflect 

func (x *CreateTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*CreateTrainingPipelineRequest) Reset 

func (x *CreateTrainingPipelineRequest) Reset()

func (*CreateTrainingPipelineRequest) String 

func (x *CreateTrainingPipelineRequest) String() string

type CreateTrialRequest 

type CreateTrialRequest struct {

	// Required. The resource name of the Study to create the Trial in.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Trial to create.
	Trial *Trial `protobuf:"bytes,2,opt,name=trial,proto3" json:"trial,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].

func (*CreateTrialRequest) Descriptor 

func (*CreateTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTrialRequest.ProtoReflect.Descriptor instead.

func (*CreateTrialRequest) GetParent 

func (x *CreateTrialRequest) GetParent() string

func (*CreateTrialRequest) GetTrial 

func (x *CreateTrialRequest) GetTrial() *Trial

func (*CreateTrialRequest) ProtoMessage 

func (*CreateTrialRequest) ProtoMessage()

func (*CreateTrialRequest) ProtoReflect 

func (x *CreateTrialRequest) ProtoReflect() protoreflect.Message

func (*CreateTrialRequest) Reset 

func (x *CreateTrialRequest) Reset()

func (*CreateTrialRequest) String 

func (x *CreateTrialRequest) String() string

type CreateTuningJobRequest 

type CreateTuningJobRequest struct {

	// Required. The resource name of the Location to create the TuningJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The TuningJob to create.
	TuningJob *TuningJob `protobuf:"bytes,2,opt,name=tuning_job,json=tuningJob,proto3" json:"tuning_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [GenAiTuningService.CreateTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CreateTuningJob].

func (*CreateTuningJobRequest) Descriptor 

func (*CreateTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTuningJobRequest.ProtoReflect.Descriptor instead.

func (*CreateTuningJobRequest) GetParent 

func (x *CreateTuningJobRequest) GetParent() string

func (*CreateTuningJobRequest) GetTuningJob 

func (x *CreateTuningJobRequest) GetTuningJob() *TuningJob

func (*CreateTuningJobRequest) ProtoMessage 

func (*CreateTuningJobRequest) ProtoMessage()

func (*CreateTuningJobRequest) ProtoReflect 

func (x *CreateTuningJobRequest) ProtoReflect() protoreflect.Message

func (*CreateTuningJobRequest) Reset 

func (x *CreateTuningJobRequest) Reset()

func (*CreateTuningJobRequest) String 

func (x *CreateTuningJobRequest) String() string

type CsvDestination 

type CsvDestination struct {

	// Required. Google Cloud Storage location.
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3" json:"gcs_destination,omitempty"`
	// contains filtered or unexported fields
}

The storage details for CSV output content.

func (*CsvDestination) Descriptor 

func (*CsvDestination) Descriptor() ([]byte, []int)

Deprecated: Use CsvDestination.ProtoReflect.Descriptor instead.

func (*CsvDestination) GetGcsDestination 

func (x *CsvDestination) GetGcsDestination() *GcsDestination

func (*CsvDestination) ProtoMessage 

func (*CsvDestination) ProtoMessage()

func (*CsvDestination) ProtoReflect 

func (x *CsvDestination) ProtoReflect() protoreflect.Message

func (*CsvDestination) Reset 

func (x *CsvDestination) Reset()

func (*CsvDestination) String 

func (x *CsvDestination) String() string

type CsvSource 

type CsvSource struct {

	// Required. Google Cloud Storage location.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
	// contains filtered or unexported fields
}

The storage details for CSV input content.

func (*CsvSource) Descriptor 

func (*CsvSource) Descriptor() ([]byte, []int)

Deprecated: Use CsvSource.ProtoReflect.Descriptor instead.

func (*CsvSource) GetGcsSource 

func (x *CsvSource) GetGcsSource() *GcsSource

func (*CsvSource) ProtoMessage 

func (*CsvSource) ProtoMessage()

func (*CsvSource) ProtoReflect 

func (x *CsvSource) ProtoReflect() protoreflect.Message

func (*CsvSource) Reset 

func (x *CsvSource) Reset()

func (*CsvSource) String 

func (x *CsvSource) String() string

type CustomJob 

type CustomJob struct {

	// Output only. Resource name of a CustomJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the CustomJob.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Job spec.
	JobSpec *CustomJobSpec `protobuf:"bytes,4,opt,name=job_spec,json=jobSpec,proto3" json:"job_spec,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,5,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
	// Output only. Time when the CustomJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the CustomJob for the first time entered the
	// `JOB_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the CustomJob entered any of the following states:
	// `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the CustomJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Only populated when job's state is `JOB_STATE_FAILED` or
	// `JOB_STATE_CANCELLED`.
	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize CustomJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,11,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Customer-managed encryption key options for a CustomJob. If this is set,
	// then all resources created by the CustomJob will be encrypted with the
	// provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,12,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. URIs for accessing [interactive
	// shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
	// (one URI for each training node). Only available if
	// [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
	// is `true`.
	//
	// The keys are names of each node in the training job; for example,
	// `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
	// the second worker pool, and `workerpool1-1` for the second node in the
	// second worker pool.
	//
	// The values are the URIs for each node's interactive shell.
	WebAccessUris map[string]string `protobuf:"bytes,16,rep,name=web_access_uris,json=webAccessUris,proto3" json:"web_access_uris,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,18,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,19,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Represents a job that runs custom workloads such as a Docker container or a Python package. A CustomJob can have multiple worker pools and each worker pool can have its own machine and input spec. A CustomJob will be cleaned up once the job enters terminal state (failed or succeeded).

func (*CustomJob) Descriptor 

func (*CustomJob) Descriptor() ([]byte, []int)

Deprecated: Use CustomJob.ProtoReflect.Descriptor instead.

func (*CustomJob) GetCreateTime 

func (x *CustomJob) GetCreateTime() *timestamppb.Timestamp

func (*CustomJob) GetDisplayName 

func (x *CustomJob) GetDisplayName() string

func (*CustomJob) GetEncryptionSpec 

func (x *CustomJob) GetEncryptionSpec() *EncryptionSpec

func (*CustomJob) GetEndTime 

func (x *CustomJob) GetEndTime() *timestamppb.Timestamp

func (*CustomJob) GetError 

func (x *CustomJob) GetError() *status.Status

func (*CustomJob) GetJobSpec 

func (x *CustomJob) GetJobSpec() *CustomJobSpec

func (*CustomJob) GetLabels 

func (x *CustomJob) GetLabels() map[string]string

func (*CustomJob) GetName 

func (x *CustomJob) GetName() string

func (*CustomJob) GetSatisfiesPzi 

func (x *CustomJob) GetSatisfiesPzi() bool

func (*CustomJob) GetSatisfiesPzs 

func (x *CustomJob) GetSatisfiesPzs() bool

func (*CustomJob) GetStartTime 

func (x *CustomJob) GetStartTime() *timestamppb.Timestamp

func (*CustomJob) GetState 

func (x *CustomJob) GetState() JobState

func (*CustomJob) GetUpdateTime 

func (x *CustomJob) GetUpdateTime() *timestamppb.Timestamp

func (*CustomJob) GetWebAccessUris 

func (x *CustomJob) GetWebAccessUris() map[string]string

func (*CustomJob) ProtoMessage 

func (*CustomJob) ProtoMessage()

func (*CustomJob) ProtoReflect 

func (x *CustomJob) ProtoReflect() protoreflect.Message

func (*CustomJob) Reset 

func (x *CustomJob) Reset()

func (*CustomJob) String 

func (x *CustomJob) String() string

type CustomJobSpec 

type CustomJobSpec struct {

	// Optional. The ID of the PersistentResource in the same Project and Location
	// which to run
	//
	// If this is specified, the job will be run on existing machines held by the
	// PersistentResource instead of on-demand short-live machines.
	// The network and CMEK configs on the job should be consistent with those on
	// the PersistentResource, otherwise, the job will be rejected.
	PersistentResourceId string `protobuf:"bytes,14,opt,name=persistent_resource_id,json=persistentResourceId,proto3" json:"persistent_resource_id,omitempty"`
	// Required. The spec of the worker pools including machine type and Docker
	// image. All worker pools except the first one are optional and can be
	// skipped by providing an empty value.
	WorkerPoolSpecs []*WorkerPoolSpec `protobuf:"bytes,1,rep,name=worker_pool_specs,json=workerPoolSpecs,proto3" json:"worker_pool_specs,omitempty"`
	// Scheduling options for a CustomJob.
	Scheduling *Scheduling `protobuf:"bytes,3,opt,name=scheduling,proto3" json:"scheduling,omitempty"`
	// Specifies the service account for workload run-as account.
	// Users submitting jobs must have act-as permission on this run-as account.
	// If unspecified, the [Vertex AI Custom Code Service
	// Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
	// for the CustomJob's project is used.
	ServiceAccount string `protobuf:"bytes,4,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// Optional. The full name of the Compute Engine
	// [network](/compute/docs/networks-and-firewalls#networks) to which the Job
	// should be peered. For example, `projects/12345/global/networks/myVPC`.
	// [Format](/compute/docs/reference/rest/v1/networks/insert)
	// is of the form `projects/{project}/global/networks/{network}`.
	// Where {project} is a project number, as in `12345`, and {network} is a
	// network name.
	//
	// To specify this field, you must have already [configured VPC Network
	// Peering for Vertex
	// AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
	//
	// If this field is left unspecified, the job is not peered with any network.
	Network string `protobuf:"bytes,5,opt,name=network,proto3" json:"network,omitempty"`
	// Optional. A list of names for the reserved ip ranges under the VPC network
	// that can be used for this job.
	//
	// If set, we will deploy the job within the provided ip ranges. Otherwise,
	// the job will be deployed to any ip ranges under the provided VPC
	// network.
	//
	// Example: ['vertex-ai-ip-range'].
	ReservedIpRanges []string `protobuf:"bytes,13,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"`
	// The Cloud Storage location to store the output of this CustomJob or
	// HyperparameterTuningJob. For HyperparameterTuningJob,
	// the baseOutputDirectory of
	// each child CustomJob backing a Trial is set to a subdirectory of name
	// [id][google.cloud.aiplatform.v1.Trial.id] under its parent
	// HyperparameterTuningJob's baseOutputDirectory.
	//
	// The following Vertex AI environment variables will be passed to
	// containers or python modules when this field is set:
	//
	//	For CustomJob:
	//
	//	* AIP_MODEL_DIR = `<base_output_directory>/model/`
	//	* AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
	//	* AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`
	//
	//	For CustomJob backing a Trial of HyperparameterTuningJob:
	//
	//	* AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
	//	* AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
	//	* AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
	BaseOutputDirectory *GcsDestination `protobuf:"bytes,6,opt,name=base_output_directory,json=baseOutputDirectory,proto3" json:"base_output_directory,omitempty"`
	// The ID of the location to store protected artifacts. e.g. us-central1.
	// Populate only when the location is different than CustomJob location.
	// List of supported locations:
	// https://cloud.google.com/vertex-ai/docs/general/locations
	ProtectedArtifactLocationId string `protobuf:"bytes,19,opt,name=protected_artifact_location_id,json=protectedArtifactLocationId,proto3" json:"protected_artifact_location_id,omitempty"`
	// Optional. The name of a Vertex AI
	// [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
	// this CustomJob will upload Tensorboard logs. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Tensorboard string `protobuf:"bytes,7,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// Optional. Whether you want Vertex AI to enable [interactive shell
	// access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
	// to training containers.
	//
	// If set to `true`, you can access interactive shells at the URIs given
	// by
	// [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
	// or
	// [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
	// (within
	// [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
	EnableWebAccess bool `protobuf:"varint,10,opt,name=enable_web_access,json=enableWebAccess,proto3" json:"enable_web_access,omitempty"`
	// Optional. Whether you want Vertex AI to enable access to the customized
	// dashboard in training chief container.
	//
	// If set to `true`, you can access the dashboard at the URIs given
	// by
	// [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
	// or
	// [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
	// (within
	// [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
	EnableDashboardAccess bool `protobuf:"varint,16,opt,name=enable_dashboard_access,json=enableDashboardAccess,proto3" json:"enable_dashboard_access,omitempty"`
	// Optional. The Experiment associated with this job.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
	Experiment string `protobuf:"bytes,17,opt,name=experiment,proto3" json:"experiment,omitempty"`
	// Optional. The Experiment Run associated with this job.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
	ExperimentRun string `protobuf:"bytes,18,opt,name=experiment_run,json=experimentRun,proto3" json:"experiment_run,omitempty"`
	// Optional. The name of the Model resources for which to generate a mapping
	// to artifact URIs. Applicable only to some of the Google-provided custom
	// jobs. Format: `projects/{project}/locations/{location}/models/{model}`
	//
	// In order to retrieve a specific version of the model, also provide
	// the version ID or version alias.
	//
	//	Example: `projects/{project}/locations/{location}/models/{model}@2`
	//	           or
	//	         `projects/{project}/locations/{location}/models/{model}@golden`
	//
	// If no version ID or alias is specified, the "default" version will be
	// returned. The "default" version alias is created for the first version of
	// the model, and can be moved to other versions later on. There will be
	// exactly one default version.
	Models []string `protobuf:"bytes,20,rep,name=models,proto3" json:"models,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of a CustomJob.

func (*CustomJobSpec) Descriptor 

func (*CustomJobSpec) Descriptor() ([]byte, []int)

Deprecated: Use CustomJobSpec.ProtoReflect.Descriptor instead.

func (*CustomJobSpec) GetBaseOutputDirectory 

func (x *CustomJobSpec) GetBaseOutputDirectory() *GcsDestination

func (*CustomJobSpec) GetEnableDashboardAccess 

func (x *CustomJobSpec) GetEnableDashboardAccess() bool

func (*CustomJobSpec) GetEnableWebAccess 

func (x *CustomJobSpec) GetEnableWebAccess() bool

func (*CustomJobSpec) GetExperiment 

func (x *CustomJobSpec) GetExperiment() string

func (*CustomJobSpec) GetExperimentRun 

func (x *CustomJobSpec) GetExperimentRun() string

func (*CustomJobSpec) GetModels 

func (x *CustomJobSpec) GetModels() []string

func (*CustomJobSpec) GetNetwork 

func (x *CustomJobSpec) GetNetwork() string

func (*CustomJobSpec) GetPersistentResourceId 

func (x *CustomJobSpec) GetPersistentResourceId() string

func (*CustomJobSpec) GetProtectedArtifactLocationId 

func (x *CustomJobSpec) GetProtectedArtifactLocationId() string

func (*CustomJobSpec) GetReservedIpRanges 

func (x *CustomJobSpec) GetReservedIpRanges() []string

func (*CustomJobSpec) GetScheduling 

func (x *CustomJobSpec) GetScheduling() *Scheduling

func (*CustomJobSpec) GetServiceAccount 

func (x *CustomJobSpec) GetServiceAccount() string

func (*CustomJobSpec) GetTensorboard 

func (x *CustomJobSpec) GetTensorboard() string

func (*CustomJobSpec) GetWorkerPoolSpecs 

func (x *CustomJobSpec) GetWorkerPoolSpecs() []*WorkerPoolSpec

func (*CustomJobSpec) ProtoMessage 

func (*CustomJobSpec) ProtoMessage()

func (*CustomJobSpec) ProtoReflect 

func (x *CustomJobSpec) ProtoReflect() protoreflect.Message

func (*CustomJobSpec) Reset 

func (x *CustomJobSpec) Reset()

func (*CustomJobSpec) String 

func (x *CustomJobSpec) String() string

type DataItem 

type DataItem struct {

	// Output only. The resource name of the DataItem.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this DataItem was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this DataItem was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. The labels with user-defined metadata to organize your DataItems.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one DataItem(System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `protobuf:"bytes,3,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Required. The data that the DataItem represents (for example, an image or a
	// text snippet). The schema of the payload is stored in the parent Dataset's
	// [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
	// dataItemSchemaUri field.
	Payload *structpb.Value `protobuf:"bytes,4,opt,name=payload,proto3" json:"payload,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,10,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,11,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

A piece of data in a Dataset. Could be an image, a video, a document or plain text.

func (*DataItem) Descriptor 

func (*DataItem) Descriptor() ([]byte, []int)

Deprecated: Use DataItem.ProtoReflect.Descriptor instead.

func (*DataItem) GetCreateTime 

func (x *DataItem) GetCreateTime() *timestamppb.Timestamp

func (*DataItem) GetEtag 

func (x *DataItem) GetEtag() string

func (*DataItem) GetLabels 

func (x *DataItem) GetLabels() map[string]string

func (*DataItem) GetName 

func (x *DataItem) GetName() string

func (*DataItem) GetPayload 

func (x *DataItem) GetPayload() *structpb.Value

func (*DataItem) GetSatisfiesPzi 

func (x *DataItem) GetSatisfiesPzi() bool

func (*DataItem) GetSatisfiesPzs 

func (x *DataItem) GetSatisfiesPzs() bool

func (*DataItem) GetUpdateTime 

func (x *DataItem) GetUpdateTime() *timestamppb.Timestamp

func (*DataItem) ProtoMessage 

func (*DataItem) ProtoMessage()

func (*DataItem) ProtoReflect 

func (x *DataItem) ProtoReflect() protoreflect.Message

func (*DataItem) Reset 

func (x *DataItem) Reset()

func (*DataItem) String 

func (x *DataItem) String() string

type DataItemView 

type DataItemView struct {

	// The DataItem.
	DataItem *DataItem `protobuf:"bytes,1,opt,name=data_item,json=dataItem,proto3" json:"data_item,omitempty"`
	// The Annotations on the DataItem. If too many Annotations should be returned
	// for the DataItem, this field will be truncated per annotations_limit in
	// request. If it was, then the has_truncated_annotations will be set to true.
	Annotations []*Annotation `protobuf:"bytes,2,rep,name=annotations,proto3" json:"annotations,omitempty"`
	// True if and only if the Annotations field has been truncated. It happens if
	// more Annotations for this DataItem met the request's annotation_filter than
	// are allowed to be returned by annotations_limit.
	// Note that if Annotations field is not being returned due to field mask,
	// then this field will not be set to true no matter how many Annotations are
	// there.
	HasTruncatedAnnotations bool `protobuf:"varint,3,opt,name=has_truncated_annotations,json=hasTruncatedAnnotations,proto3" json:"has_truncated_annotations,omitempty"`
	// contains filtered or unexported fields
}

A container for a single DataItem and Annotations on it.

func (*DataItemView) Descriptor 

func (*DataItemView) Descriptor() ([]byte, []int)

Deprecated: Use DataItemView.ProtoReflect.Descriptor instead.

func (*DataItemView) GetAnnotations 

func (x *DataItemView) GetAnnotations() []*Annotation

func (*DataItemView) GetDataItem 

func (x *DataItemView) GetDataItem() *DataItem

func (*DataItemView) GetHasTruncatedAnnotations 

func (x *DataItemView) GetHasTruncatedAnnotations() bool

func (*DataItemView) ProtoMessage 

func (*DataItemView) ProtoMessage()

func (*DataItemView) ProtoReflect 

func (x *DataItemView) ProtoReflect() protoreflect.Message

func (*DataItemView) Reset 

func (x *DataItemView) Reset()

func (*DataItemView) String 

func (x *DataItemView) String() string

type DataLabelingJob 

type DataLabelingJob struct {

	// Output only. Resource name of the DataLabelingJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the DataLabelingJob.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	// Display name of a DataLabelingJob.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Dataset resource names. Right now we only support labeling from a
	// single Dataset. Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Datasets []string `protobuf:"bytes,3,rep,name=datasets,proto3" json:"datasets,omitempty"`
	// Labels to assign to annotations generated by this DataLabelingJob.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	AnnotationLabels map[string]string `protobuf:"bytes,12,rep,name=annotation_labels,json=annotationLabels,proto3" json:"annotation_labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Required. Number of labelers to work on each DataItem.
	LabelerCount int32 `protobuf:"varint,4,opt,name=labeler_count,json=labelerCount,proto3" json:"labeler_count,omitempty"`
	// Required. The Google Cloud Storage location of the instruction pdf. This
	// pdf is shared with labelers, and provides detailed description on how to
	// label DataItems in Datasets.
	InstructionUri string `protobuf:"bytes,5,opt,name=instruction_uri,json=instructionUri,proto3" json:"instruction_uri,omitempty"`
	// Required. Points to a YAML file stored on Google Cloud Storage describing
	// the config for a specific type of DataLabelingJob. The schema files that
	// can be used here are found in the
	// https://storage.googleapis.com/google-cloud-aiplatform bucket in the
	// /schema/datalabelingjob/inputs/ folder.
	InputsSchemaUri string `protobuf:"bytes,6,opt,name=inputs_schema_uri,json=inputsSchemaUri,proto3" json:"inputs_schema_uri,omitempty"`
	// Required. Input config parameters for the DataLabelingJob.
	Inputs *structpb.Value `protobuf:"bytes,7,opt,name=inputs,proto3" json:"inputs,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
	// Output only. Current labeling job progress percentage scaled in interval
	// [0, 100], indicating the percentage of DataItems that has been finished.
	LabelingProgress int32 `protobuf:"varint,13,opt,name=labeling_progress,json=labelingProgress,proto3" json:"labeling_progress,omitempty"`
	// Output only. Estimated cost(in US dollars) that the DataLabelingJob has
	// incurred to date.
	CurrentSpend *money.Money `protobuf:"bytes,14,opt,name=current_spend,json=currentSpend,proto3" json:"current_spend,omitempty"`
	// Output only. Timestamp when this DataLabelingJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this DataLabelingJob was updated most recently.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. DataLabelingJob errors. It is only populated when job's state
	// is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
	Error *status.Status `protobuf:"bytes,22,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize your DataLabelingJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable. Following system labels exist for each DataLabelingJob:
	//
	//   - "aiplatform.googleapis.com/schema": output only, its value is the
	//     [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
	//     title.
	Labels map[string]string `protobuf:"bytes,11,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// The SpecialistPools' resource names associated with this job.
	SpecialistPools []string `protobuf:"bytes,16,rep,name=specialist_pools,json=specialistPools,proto3" json:"specialist_pools,omitempty"`
	// Customer-managed encryption key spec for a DataLabelingJob. If set, this
	// DataLabelingJob will be secured by this key.
	//
	// Note: Annotations created in the DataLabelingJob are associated with
	// the EncryptionSpec of the Dataset they are exported to.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,20,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Parameters that configure the active learning pipeline. Active learning
	// will label the data incrementally via several iterations. For every
	// iteration, it will select a batch of data based on the sampling strategy.
	ActiveLearningConfig *ActiveLearningConfig `protobuf:"bytes,21,opt,name=active_learning_config,json=activeLearningConfig,proto3" json:"active_learning_config,omitempty"`
	// contains filtered or unexported fields
}

DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:

func (*DataLabelingJob) Descriptor 

func (*DataLabelingJob) Descriptor() ([]byte, []int)

Deprecated: Use DataLabelingJob.ProtoReflect.Descriptor instead.

func (*DataLabelingJob) GetActiveLearningConfig 

func (x *DataLabelingJob) GetActiveLearningConfig() *ActiveLearningConfig

func (*DataLabelingJob) GetAnnotationLabels 

func (x *DataLabelingJob) GetAnnotationLabels() map[string]string

func (*DataLabelingJob) GetCreateTime 

func (x *DataLabelingJob) GetCreateTime() *timestamppb.Timestamp

func (*DataLabelingJob) GetCurrentSpend 

func (x *DataLabelingJob) GetCurrentSpend() *money.Money

func (*DataLabelingJob) GetDatasets 

func (x *DataLabelingJob) GetDatasets() []string

func (*DataLabelingJob) GetDisplayName 

func (x *DataLabelingJob) GetDisplayName() string

func (*DataLabelingJob) GetEncryptionSpec 

func (x *DataLabelingJob) GetEncryptionSpec() *EncryptionSpec

func (*DataLabelingJob) GetError 

func (x *DataLabelingJob) GetError() *status.Status

func (*DataLabelingJob) GetInputs 

func (x *DataLabelingJob) GetInputs() *structpb.Value

func (*DataLabelingJob) GetInputsSchemaUri 

func (x *DataLabelingJob) GetInputsSchemaUri() string

func (*DataLabelingJob) GetInstructionUri 

func (x *DataLabelingJob) GetInstructionUri() string

func (*DataLabelingJob) GetLabelerCount 

func (x *DataLabelingJob) GetLabelerCount() int32

func (*DataLabelingJob) GetLabelingProgress 

func (x *DataLabelingJob) GetLabelingProgress() int32

func (*DataLabelingJob) GetLabels 

func (x *DataLabelingJob) GetLabels() map[string]string

func (*DataLabelingJob) GetName 

func (x *DataLabelingJob) GetName() string

func (*DataLabelingJob) GetSpecialistPools 

func (x *DataLabelingJob) GetSpecialistPools() []string

func (*DataLabelingJob) GetState 

func (x *DataLabelingJob) GetState() JobState

func (*DataLabelingJob) GetUpdateTime 

func (x *DataLabelingJob) GetUpdateTime() *timestamppb.Timestamp

func (*DataLabelingJob) ProtoMessage 

func (*DataLabelingJob) ProtoMessage()

func (*DataLabelingJob) ProtoReflect 

func (x *DataLabelingJob) ProtoReflect() protoreflect.Message

func (*DataLabelingJob) Reset 

func (x *DataLabelingJob) Reset()

func (*DataLabelingJob) String 

func (x *DataLabelingJob) String() string

type Dataset 

type Dataset struct {

	// Output only. Identifier. The resource name of the Dataset.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the Dataset.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the Dataset.
	Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`
	// Required. Points to a YAML file stored on Google Cloud Storage describing
	// additional information about the Dataset. The schema is defined as an
	// OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
	// found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
	MetadataSchemaUri string `protobuf:"bytes,3,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`
	// Required. Additional information about the Dataset.
	Metadata *structpb.Value `protobuf:"bytes,8,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Output only. The number of DataItems in this Dataset. Only apply for
	// non-structured Dataset.
	DataItemCount int64 `protobuf:"varint,10,opt,name=data_item_count,json=dataItemCount,proto3" json:"data_item_count,omitempty"`
	// Output only. Timestamp when this Dataset was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Dataset was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Datasets.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Dataset (System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable. Following system labels exist for each Dataset:
	//
	//   - "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
	//     value is the
	//     [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
	//     title.
	Labels map[string]string `protobuf:"bytes,7,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// All SavedQueries belong to the Dataset will be returned in List/Get
	// Dataset response. The annotation_specs field
	// will not be populated except for UI cases which will only use
	// [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
	// In CreateDataset request, a SavedQuery is created together if
	// this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
	// The SavedQuery should not contain any AnnotationSpec.
	SavedQueries []*SavedQuery `protobuf:"bytes,9,rep,name=saved_queries,json=savedQueries,proto3" json:"saved_queries,omitempty"`
	// Customer-managed encryption key spec for a Dataset. If set, this Dataset
	// and all sub-resources of this Dataset will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,11,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. The resource name of the Artifact that was created in
	// MetadataStore when creating the Dataset. The Artifact resource name pattern
	// is
	// `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
	MetadataArtifact string `protobuf:"bytes,17,opt,name=metadata_artifact,json=metadataArtifact,proto3" json:"metadata_artifact,omitempty"`
	// Optional. Reference to the public base model last used by the dataset. Only
	// set for prompt datasets.
	ModelReference string `protobuf:"bytes,18,opt,name=model_reference,json=modelReference,proto3" json:"model_reference,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,19,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,20,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

A collection of DataItems and Annotations on them.

func (*Dataset) Descriptor 

func (*Dataset) Descriptor() ([]byte, []int)

Deprecated: Use Dataset.ProtoReflect.Descriptor instead.

func (*Dataset) GetCreateTime 

func (x *Dataset) GetCreateTime() *timestamppb.Timestamp

func (*Dataset) GetDataItemCount 

func (x *Dataset) GetDataItemCount() int64

func (*Dataset) GetDescription 

func (x *Dataset) GetDescription() string

func (*Dataset) GetDisplayName 

func (x *Dataset) GetDisplayName() string

func (*Dataset) GetEncryptionSpec 

func (x *Dataset) GetEncryptionSpec() *EncryptionSpec

func (*Dataset) GetEtag 

func (x *Dataset) GetEtag() string

func (*Dataset) GetLabels 

func (x *Dataset) GetLabels() map[string]string

func (*Dataset) GetMetadata 

func (x *Dataset) GetMetadata() *structpb.Value

func (*Dataset) GetMetadataArtifact 

func (x *Dataset) GetMetadataArtifact() string

func (*Dataset) GetMetadataSchemaUri 

func (x *Dataset) GetMetadataSchemaUri() string

func (*Dataset) GetModelReference 

func (x *Dataset) GetModelReference() string

func (*Dataset) GetName 

func (x *Dataset) GetName() string

func (*Dataset) GetSatisfiesPzi 

func (x *Dataset) GetSatisfiesPzi() bool

func (*Dataset) GetSatisfiesPzs 

func (x *Dataset) GetSatisfiesPzs() bool

func (*Dataset) GetSavedQueries 

func (x *Dataset) GetSavedQueries() []*SavedQuery

func (*Dataset) GetUpdateTime 

func (x *Dataset) GetUpdateTime() *timestamppb.Timestamp

func (*Dataset) ProtoMessage 

func (*Dataset) ProtoMessage()

func (*Dataset) ProtoReflect 

func (x *Dataset) ProtoReflect() protoreflect.Message

func (*Dataset) Reset 

func (x *Dataset) Reset()

func (*Dataset) String 

func (x *Dataset) String() string

type DatasetServiceClient 

type DatasetServiceClient interface {
	// Creates a Dataset.
	CreateDataset(ctx context.Context, in *CreateDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Dataset.
	GetDataset(ctx context.Context, in *GetDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Updates a Dataset.
	UpdateDataset(ctx context.Context, in *UpdateDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Lists Datasets in a Location.
	ListDatasets(ctx context.Context, in *ListDatasetsRequest, opts ...grpc.CallOption) (*ListDatasetsResponse, error)
	// Deletes a Dataset.
	DeleteDataset(ctx context.Context, in *DeleteDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Imports data into a Dataset.
	ImportData(ctx context.Context, in *ImportDataRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Exports data from a Dataset.
	ExportData(ctx context.Context, in *ExportDataRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Create a version from a Dataset.
	CreateDatasetVersion(ctx context.Context, in *CreateDatasetVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Updates a DatasetVersion.
	UpdateDatasetVersion(ctx context.Context, in *UpdateDatasetVersionRequest, opts ...grpc.CallOption) (*DatasetVersion, error)
	// Deletes a Dataset version.
	DeleteDatasetVersion(ctx context.Context, in *DeleteDatasetVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Dataset version.
	GetDatasetVersion(ctx context.Context, in *GetDatasetVersionRequest, opts ...grpc.CallOption) (*DatasetVersion, error)
	// Lists DatasetVersions in a Dataset.
	ListDatasetVersions(ctx context.Context, in *ListDatasetVersionsRequest, opts ...grpc.CallOption) (*ListDatasetVersionsResponse, error)
	// Restores a dataset version.
	RestoreDatasetVersion(ctx context.Context, in *RestoreDatasetVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Lists DataItems in a Dataset.
	ListDataItems(ctx context.Context, in *ListDataItemsRequest, opts ...grpc.CallOption) (*ListDataItemsResponse, error)
	// Searches DataItems in a Dataset.
	SearchDataItems(ctx context.Context, in *SearchDataItemsRequest, opts ...grpc.CallOption) (*SearchDataItemsResponse, error)
	// Lists SavedQueries in a Dataset.
	ListSavedQueries(ctx context.Context, in *ListSavedQueriesRequest, opts ...grpc.CallOption) (*ListSavedQueriesResponse, error)
	// Deletes a SavedQuery.
	DeleteSavedQuery(ctx context.Context, in *DeleteSavedQueryRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets an AnnotationSpec.
	GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error)
	// Lists Annotations belongs to a dataitem
	// This RPC is only available in InternalDatasetService. It is only used for
	// exporting conversation data to CCAI Insights.
	ListAnnotations(ctx context.Context, in *ListAnnotationsRequest, opts ...grpc.CallOption) (*ListAnnotationsResponse, error)
}

DatasetServiceClient is the client API for DatasetService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewDatasetServiceClient 

func NewDatasetServiceClient(cc grpc.ClientConnInterface) DatasetServiceClient

type DatasetServiceServer 

type DatasetServiceServer interface {
	// Creates a Dataset.
	CreateDataset(context.Context, *CreateDatasetRequest) (*longrunningpb.Operation, error)
	// Gets a Dataset.
	GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)
	// Updates a Dataset.
	UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error)
	// Lists Datasets in a Location.
	ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)
	// Deletes a Dataset.
	DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunningpb.Operation, error)
	// Imports data into a Dataset.
	ImportData(context.Context, *ImportDataRequest) (*longrunningpb.Operation, error)
	// Exports data from a Dataset.
	ExportData(context.Context, *ExportDataRequest) (*longrunningpb.Operation, error)
	// Create a version from a Dataset.
	CreateDatasetVersion(context.Context, *CreateDatasetVersionRequest) (*longrunningpb.Operation, error)
	// Updates a DatasetVersion.
	UpdateDatasetVersion(context.Context, *UpdateDatasetVersionRequest) (*DatasetVersion, error)
	// Deletes a Dataset version.
	DeleteDatasetVersion(context.Context, *DeleteDatasetVersionRequest) (*longrunningpb.Operation, error)
	// Gets a Dataset version.
	GetDatasetVersion(context.Context, *GetDatasetVersionRequest) (*DatasetVersion, error)
	// Lists DatasetVersions in a Dataset.
	ListDatasetVersions(context.Context, *ListDatasetVersionsRequest) (*ListDatasetVersionsResponse, error)
	// Restores a dataset version.
	RestoreDatasetVersion(context.Context, *RestoreDatasetVersionRequest) (*longrunningpb.Operation, error)
	// Lists DataItems in a Dataset.
	ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error)
	// Searches DataItems in a Dataset.
	SearchDataItems(context.Context, *SearchDataItemsRequest) (*SearchDataItemsResponse, error)
	// Lists SavedQueries in a Dataset.
	ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error)
	// Deletes a SavedQuery.
	DeleteSavedQuery(context.Context, *DeleteSavedQueryRequest) (*longrunningpb.Operation, error)
	// Gets an AnnotationSpec.
	GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error)
	// Lists Annotations belongs to a dataitem
	// This RPC is only available in InternalDatasetService. It is only used for
	// exporting conversation data to CCAI Insights.
	ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error)
}

DatasetServiceServer is the server API for DatasetService service.

type DatasetVersion 

type DatasetVersion struct {

	// Output only. Identifier. The resource name of the DatasetVersion.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this DatasetVersion was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this DatasetVersion was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,3,opt,name=etag,proto3" json:"etag,omitempty"`
	// Output only. Name of the associated BigQuery dataset.
	BigQueryDatasetName string `protobuf:"bytes,4,opt,name=big_query_dataset_name,json=bigQueryDatasetName,proto3" json:"big_query_dataset_name,omitempty"`
	// The user-defined name of the DatasetVersion.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,7,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Output only. Additional information about the DatasetVersion.
	Metadata *structpb.Value `protobuf:"bytes,8,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Output only. Reference to the public base model last used by the dataset
	// version. Only set for prompt dataset versions.
	ModelReference string `protobuf:"bytes,9,opt,name=model_reference,json=modelReference,proto3" json:"model_reference,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,10,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,11,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Describes the dataset version.

func (*DatasetVersion) Descriptor 

func (*DatasetVersion) Descriptor() ([]byte, []int)

Deprecated: Use DatasetVersion.ProtoReflect.Descriptor instead.

func (*DatasetVersion) GetBigQueryDatasetName 

func (x *DatasetVersion) GetBigQueryDatasetName() string

func (*DatasetVersion) GetCreateTime 

func (x *DatasetVersion) GetCreateTime() *timestamppb.Timestamp

func (*DatasetVersion) GetDisplayName 

func (x *DatasetVersion) GetDisplayName() string

func (*DatasetVersion) GetEtag 

func (x *DatasetVersion) GetEtag() string

func (*DatasetVersion) GetMetadata 

func (x *DatasetVersion) GetMetadata() *structpb.Value

func (*DatasetVersion) GetModelReference 

func (x *DatasetVersion) GetModelReference() string

func (*DatasetVersion) GetName 

func (x *DatasetVersion) GetName() string

func (*DatasetVersion) GetSatisfiesPzi 

func (x *DatasetVersion) GetSatisfiesPzi() bool

func (*DatasetVersion) GetSatisfiesPzs 

func (x *DatasetVersion) GetSatisfiesPzs() bool

func (*DatasetVersion) GetUpdateTime 

func (x *DatasetVersion) GetUpdateTime() *timestamppb.Timestamp

func (*DatasetVersion) ProtoMessage 

func (*DatasetVersion) ProtoMessage()

func (*DatasetVersion) ProtoReflect 

func (x *DatasetVersion) ProtoReflect() protoreflect.Message

func (*DatasetVersion) Reset 

func (x *DatasetVersion) Reset()

func (*DatasetVersion) String 

func (x *DatasetVersion) String() string

type DedicatedResources 

type DedicatedResources struct {

	// Required. Immutable. The specification of a single machine used by the
	// prediction.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Required. Immutable. The minimum number of machine replicas this
	// DeployedModel will be always deployed on. This value must be greater than
	// or equal to 1.
	//
	// If traffic against the DeployedModel increases, it may dynamically be
	// deployed onto more replicas, and as traffic decreases, some of these extra
	// replicas may be freed.
	MinReplicaCount int32 `protobuf:"varint,2,opt,name=min_replica_count,json=minReplicaCount,proto3" json:"min_replica_count,omitempty"`
	// Immutable. The maximum number of replicas this DeployedModel may be
	// deployed on when the traffic against it increases. If the requested value
	// is too large, the deployment will error, but if deployment succeeds then
	// the ability to scale the model to that many replicas is guaranteed (barring
	// service outages). If traffic against the DeployedModel increases beyond
	// what its replicas at maximum may handle, a portion of the traffic will be
	// dropped. If this value is not provided, will use
	// [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count]
	// as the default value.
	//
	// The value of this field impacts the charge against Vertex CPU and GPU
	// quotas. Specifically, you will be charged for (max_replica_count *
	// number of cores in the selected machine type) and (max_replica_count *
	// number of GPUs per replica in the selected machine type).
	MaxReplicaCount int32 `protobuf:"varint,3,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// Optional. Number of required available replicas for the deployment to
	// succeed. This field is only needed when partial model deployment/mutation
	// is desired. If set, the model deploy/mutate operation will succeed once
	// available_replica_count reaches required_replica_count, and the rest of
	// the replicas will be retried. If not set, the default
	// required_replica_count will be min_replica_count.
	RequiredReplicaCount int32 `protobuf:"varint,9,opt,name=required_replica_count,json=requiredReplicaCount,proto3" json:"required_replica_count,omitempty"`
	// Immutable. The metric specifications that overrides a resource
	// utilization metric (CPU utilization, accelerator's duty cycle, and so on)
	// target value (default to 60 if not set). At most one entry is allowed per
	// metric.
	//
	// If
	// [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
	// is above 0, the autoscaling will be based on both CPU utilization and
	// accelerator's duty cycle metrics and scale up when either metrics exceeds
	// its target value while scale down if both metrics are under their target
	// value. The default target value is 60 for both metrics.
	//
	// If
	// [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
	// is 0, the autoscaling will be based on CPU utilization metric only with
	// default target value 60 if not explicitly set.
	//
	// For example, in the case of Online Prediction, if you want to override
	// target CPU utilization to 80, you should set
	// [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
	// to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
	// [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
	// to `80`.
	AutoscalingMetricSpecs []*AutoscalingMetricSpec `protobuf:"bytes,4,rep,name=autoscaling_metric_specs,json=autoscalingMetricSpecs,proto3" json:"autoscaling_metric_specs,omitempty"`
	// Optional. If true, schedule the deployment workload on [spot
	// VMs](https://cloud.google.com/kubernetes-engine/docs/concepts/spot-vms).
	Spot bool `protobuf:"varint,5,opt,name=spot,proto3" json:"spot,omitempty"`
	// contains filtered or unexported fields
}

A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.

func (*DedicatedResources) Descriptor 

func (*DedicatedResources) Descriptor() ([]byte, []int)

Deprecated: Use DedicatedResources.ProtoReflect.Descriptor instead.

func (*DedicatedResources) GetAutoscalingMetricSpecs 

func (x *DedicatedResources) GetAutoscalingMetricSpecs() []*AutoscalingMetricSpec

func (*DedicatedResources) GetMachineSpec 

func (x *DedicatedResources) GetMachineSpec() *MachineSpec

func (*DedicatedResources) GetMaxReplicaCount 

func (x *DedicatedResources) GetMaxReplicaCount() int32

func (*DedicatedResources) GetMinReplicaCount 

func (x *DedicatedResources) GetMinReplicaCount() int32

func (*DedicatedResources) GetRequiredReplicaCount 

func (x *DedicatedResources) GetRequiredReplicaCount() int32

func (*DedicatedResources) GetSpot 

func (x *DedicatedResources) GetSpot() bool

func (*DedicatedResources) ProtoMessage 

func (*DedicatedResources) ProtoMessage()

func (*DedicatedResources) ProtoReflect 

func (x *DedicatedResources) ProtoReflect() protoreflect.Message

func (*DedicatedResources) Reset 

func (x *DedicatedResources) Reset()

func (*DedicatedResources) String 

func (x *DedicatedResources) String() string

type DeleteArtifactRequest 

type DeleteArtifactRequest struct {

	// Required. The resource name of the Artifact to delete.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The etag of the Artifact to delete.
	// If this is provided, it must match the server's etag. Otherwise, the
	// request will fail with a FAILED_PRECONDITION.
	Etag string `protobuf:"bytes,2,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].

func (*DeleteArtifactRequest) Descriptor 

func (*DeleteArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteArtifactRequest.ProtoReflect.Descriptor instead.

func (*DeleteArtifactRequest) GetEtag 

func (x *DeleteArtifactRequest) GetEtag() string

func (*DeleteArtifactRequest) GetName 

func (x *DeleteArtifactRequest) GetName() string

func (*DeleteArtifactRequest) ProtoMessage 

func (*DeleteArtifactRequest) ProtoMessage()

func (*DeleteArtifactRequest) ProtoReflect 

func (x *DeleteArtifactRequest) ProtoReflect() protoreflect.Message

func (*DeleteArtifactRequest) Reset 

func (x *DeleteArtifactRequest) Reset()

func (*DeleteArtifactRequest) String 

func (x *DeleteArtifactRequest) String() string

type DeleteBatchPredictionJobRequest 

type DeleteBatchPredictionJobRequest struct {

	// Required. The name of the BatchPredictionJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].

func (*DeleteBatchPredictionJobRequest) Descriptor 

func (*DeleteBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteBatchPredictionJobRequest) GetName 

func (x *DeleteBatchPredictionJobRequest) GetName() string

func (*DeleteBatchPredictionJobRequest) ProtoMessage 

func (*DeleteBatchPredictionJobRequest) ProtoMessage()

func (*DeleteBatchPredictionJobRequest) ProtoReflect 

func (x *DeleteBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteBatchPredictionJobRequest) Reset 

func (x *DeleteBatchPredictionJobRequest) Reset()

func (*DeleteBatchPredictionJobRequest) String 

func (x *DeleteBatchPredictionJobRequest) String() string

type DeleteCachedContentRequest 

type DeleteCachedContentRequest struct {

	// Required. The resource name referring to the cached content
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [GenAiCacheService.DeleteCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.DeleteCachedContent].

func (*DeleteCachedContentRequest) Descriptor 

func (*DeleteCachedContentRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteCachedContentRequest.ProtoReflect.Descriptor instead.

func (*DeleteCachedContentRequest) GetName 

func (x *DeleteCachedContentRequest) GetName() string

func (*DeleteCachedContentRequest) ProtoMessage 

func (*DeleteCachedContentRequest) ProtoMessage()

func (*DeleteCachedContentRequest) ProtoReflect 

func (x *DeleteCachedContentRequest) ProtoReflect() protoreflect.Message

func (*DeleteCachedContentRequest) Reset 

func (x *DeleteCachedContentRequest) Reset()

func (*DeleteCachedContentRequest) String 

func (x *DeleteCachedContentRequest) String() string

type DeleteContextRequest 

type DeleteContextRequest struct {

	// Required. The resource name of the Context to delete.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The force deletion semantics is still undefined.
	// Users should not use this field.
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// Optional. The etag of the Context to delete.
	// If this is provided, it must match the server's etag. Otherwise, the
	// request will fail with a FAILED_PRECONDITION.
	Etag string `protobuf:"bytes,3,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].

func (*DeleteContextRequest) Descriptor 

func (*DeleteContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteContextRequest.ProtoReflect.Descriptor instead.

func (*DeleteContextRequest) GetEtag 

func (x *DeleteContextRequest) GetEtag() string

func (*DeleteContextRequest) GetForce 

func (x *DeleteContextRequest) GetForce() bool

func (*DeleteContextRequest) GetName 

func (x *DeleteContextRequest) GetName() string

func (*DeleteContextRequest) ProtoMessage 

func (*DeleteContextRequest) ProtoMessage()

func (*DeleteContextRequest) ProtoReflect 

func (x *DeleteContextRequest) ProtoReflect() protoreflect.Message

func (*DeleteContextRequest) Reset 

func (x *DeleteContextRequest) Reset()

func (*DeleteContextRequest) String 

func (x *DeleteContextRequest) String() string

type DeleteCustomJobRequest 

type DeleteCustomJobRequest struct {

	// Required. The name of the CustomJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].

func (*DeleteCustomJobRequest) Descriptor 

func (*DeleteCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteCustomJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteCustomJobRequest) GetName 

func (x *DeleteCustomJobRequest) GetName() string

func (*DeleteCustomJobRequest) ProtoMessage 

func (*DeleteCustomJobRequest) ProtoMessage()

func (*DeleteCustomJobRequest) ProtoReflect 

func (x *DeleteCustomJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteCustomJobRequest) Reset 

func (x *DeleteCustomJobRequest) Reset()

func (*DeleteCustomJobRequest) String 

func (x *DeleteCustomJobRequest) String() string

type DeleteDataLabelingJobRequest 

type DeleteDataLabelingJobRequest struct {

	// Required. The name of the DataLabelingJob to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].

func (*DeleteDataLabelingJobRequest) Descriptor 

func (*DeleteDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteDataLabelingJobRequest) GetName 

func (x *DeleteDataLabelingJobRequest) GetName() string

func (*DeleteDataLabelingJobRequest) ProtoMessage 

func (*DeleteDataLabelingJobRequest) ProtoMessage()

func (*DeleteDataLabelingJobRequest) ProtoReflect 

func (x *DeleteDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteDataLabelingJobRequest) Reset 

func (x *DeleteDataLabelingJobRequest) Reset()

func (*DeleteDataLabelingJobRequest) String 

func (x *DeleteDataLabelingJobRequest) String() string

type DeleteDatasetRequest 

type DeleteDatasetRequest struct {

	// Required. The resource name of the Dataset to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].

func (*DeleteDatasetRequest) Descriptor 

func (*DeleteDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteDatasetRequest.ProtoReflect.Descriptor instead.

func (*DeleteDatasetRequest) GetName 

func (x *DeleteDatasetRequest) GetName() string

func (*DeleteDatasetRequest) ProtoMessage 

func (*DeleteDatasetRequest) ProtoMessage()

func (*DeleteDatasetRequest) ProtoReflect 

func (x *DeleteDatasetRequest) ProtoReflect() protoreflect.Message

func (*DeleteDatasetRequest) Reset 

func (x *DeleteDatasetRequest) Reset()

func (*DeleteDatasetRequest) String 

func (x *DeleteDatasetRequest) String() string

type DeleteDatasetVersionRequest 

type DeleteDatasetVersionRequest struct {

	// Required. The resource name of the Dataset version to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.DeleteDatasetVersion][google.cloud.aiplatform.v1.DatasetService.DeleteDatasetVersion].

func (*DeleteDatasetVersionRequest) Descriptor 

func (*DeleteDatasetVersionRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteDatasetVersionRequest.ProtoReflect.Descriptor instead.

func (*DeleteDatasetVersionRequest) GetName 

func (x *DeleteDatasetVersionRequest) GetName() string

func (*DeleteDatasetVersionRequest) ProtoMessage 

func (*DeleteDatasetVersionRequest) ProtoMessage()

func (*DeleteDatasetVersionRequest) ProtoReflect 

func (x *DeleteDatasetVersionRequest) ProtoReflect() protoreflect.Message

func (*DeleteDatasetVersionRequest) Reset 

func (x *DeleteDatasetVersionRequest) Reset()

func (*DeleteDatasetVersionRequest) String 

func (x *DeleteDatasetVersionRequest) String() string

type DeleteDeploymentResourcePoolRequest 

type DeleteDeploymentResourcePoolRequest struct {

	// Required. The name of the DeploymentResourcePool to delete.
	// Format:
	// `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for DeleteDeploymentResourcePool method.

func (*DeleteDeploymentResourcePoolRequest) Descriptor 

func (*DeleteDeploymentResourcePoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteDeploymentResourcePoolRequest.ProtoReflect.Descriptor instead.

func (*DeleteDeploymentResourcePoolRequest) GetName 

func (x *DeleteDeploymentResourcePoolRequest) GetName() string

func (*DeleteDeploymentResourcePoolRequest) ProtoMessage 

func (*DeleteDeploymentResourcePoolRequest) ProtoMessage()

func (*DeleteDeploymentResourcePoolRequest) ProtoReflect 

func (x *DeleteDeploymentResourcePoolRequest) ProtoReflect() protoreflect.Message

func (*DeleteDeploymentResourcePoolRequest) Reset 

func (x *DeleteDeploymentResourcePoolRequest) Reset()

func (*DeleteDeploymentResourcePoolRequest) String 

func (x *DeleteDeploymentResourcePoolRequest) String() string

type DeleteEndpointRequest 

type DeleteEndpointRequest struct {

	// Required. The name of the Endpoint resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].

func (*DeleteEndpointRequest) Descriptor 

func (*DeleteEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteEndpointRequest.ProtoReflect.Descriptor instead.

func (*DeleteEndpointRequest) GetName 

func (x *DeleteEndpointRequest) GetName() string

func (*DeleteEndpointRequest) ProtoMessage 

func (*DeleteEndpointRequest) ProtoMessage()

func (*DeleteEndpointRequest) ProtoReflect 

func (x *DeleteEndpointRequest) ProtoReflect() protoreflect.Message

func (*DeleteEndpointRequest) Reset 

func (x *DeleteEndpointRequest) Reset()

func (*DeleteEndpointRequest) String 

func (x *DeleteEndpointRequest) String() string

type DeleteEntityTypeRequest 

type DeleteEntityTypeRequest struct {

	// Required. The name of the EntityType to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any Features for this EntityType will also be deleted.
	// (Otherwise, the request will only work if the EntityType has no Features.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteEntityType][google.cloud.aiplatform.v1.FeaturestoreService.DeleteEntityType].

func (*DeleteEntityTypeRequest) Descriptor 

func (*DeleteEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*DeleteEntityTypeRequest) GetForce 

func (x *DeleteEntityTypeRequest) GetForce() bool

func (*DeleteEntityTypeRequest) GetName 

func (x *DeleteEntityTypeRequest) GetName() string

func (*DeleteEntityTypeRequest) ProtoMessage 

func (*DeleteEntityTypeRequest) ProtoMessage()

func (*DeleteEntityTypeRequest) ProtoReflect 

func (x *DeleteEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*DeleteEntityTypeRequest) Reset 

func (x *DeleteEntityTypeRequest) Reset()

func (*DeleteEntityTypeRequest) String 

func (x *DeleteEntityTypeRequest) String() string

type DeleteExecutionRequest 

type DeleteExecutionRequest struct {

	// Required. The resource name of the Execution to delete.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The etag of the Execution to delete.
	// If this is provided, it must match the server's etag. Otherwise, the
	// request will fail with a FAILED_PRECONDITION.
	Etag string `protobuf:"bytes,2,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].

func (*DeleteExecutionRequest) Descriptor 

func (*DeleteExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteExecutionRequest.ProtoReflect.Descriptor instead.

func (*DeleteExecutionRequest) GetEtag 

func (x *DeleteExecutionRequest) GetEtag() string

func (*DeleteExecutionRequest) GetName 

func (x *DeleteExecutionRequest) GetName() string

func (*DeleteExecutionRequest) ProtoMessage 

func (*DeleteExecutionRequest) ProtoMessage()

func (*DeleteExecutionRequest) ProtoReflect 

func (x *DeleteExecutionRequest) ProtoReflect() protoreflect.Message

func (*DeleteExecutionRequest) Reset 

func (x *DeleteExecutionRequest) Reset()

func (*DeleteExecutionRequest) String 

func (x *DeleteExecutionRequest) String() string

type DeleteFeatureGroupRequest 

type DeleteFeatureGroupRequest struct {

	// Required. The name of the FeatureGroup to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featureGroups/{feature_group}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any Features under this FeatureGroup
	// will also be deleted. (Otherwise, the request will only work if the
	// FeatureGroup has no Features.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureRegistryService.DeleteFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeatureGroup].

func (*DeleteFeatureGroupRequest) Descriptor 

func (*DeleteFeatureGroupRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureGroupRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeatureGroupRequest) GetForce 

func (x *DeleteFeatureGroupRequest) GetForce() bool

func (*DeleteFeatureGroupRequest) GetName 

func (x *DeleteFeatureGroupRequest) GetName() string

func (*DeleteFeatureGroupRequest) ProtoMessage 

func (*DeleteFeatureGroupRequest) ProtoMessage()

func (*DeleteFeatureGroupRequest) ProtoReflect 

func (x *DeleteFeatureGroupRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeatureGroupRequest) Reset 

func (x *DeleteFeatureGroupRequest) Reset()

func (*DeleteFeatureGroupRequest) String 

func (x *DeleteFeatureGroupRequest) String() string

type DeleteFeatureOnlineStoreRequest 

type DeleteFeatureOnlineStoreRequest struct {

	// Required. The name of the FeatureOnlineStore to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any FeatureViews and Features for this FeatureOnlineStore
	// will also be deleted. (Otherwise, the request will only work if the
	// FeatureOnlineStore has no FeatureViews.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore].

func (*DeleteFeatureOnlineStoreRequest) Descriptor 

func (*DeleteFeatureOnlineStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureOnlineStoreRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeatureOnlineStoreRequest) GetForce 

func (x *DeleteFeatureOnlineStoreRequest) GetForce() bool

func (*DeleteFeatureOnlineStoreRequest) GetName 

func (x *DeleteFeatureOnlineStoreRequest) GetName() string

func (*DeleteFeatureOnlineStoreRequest) ProtoMessage 

func (*DeleteFeatureOnlineStoreRequest) ProtoMessage()

func (*DeleteFeatureOnlineStoreRequest) ProtoReflect 

func (x *DeleteFeatureOnlineStoreRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeatureOnlineStoreRequest) Reset 

func (x *DeleteFeatureOnlineStoreRequest) Reset()

func (*DeleteFeatureOnlineStoreRequest) String 

func (x *DeleteFeatureOnlineStoreRequest) String() string

type DeleteFeatureRequest 

type DeleteFeatureRequest struct {

	// Required. The name of the Features to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
	// `projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature]. Request message for [FeatureRegistryService.DeleteFeature][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeature].

func (*DeleteFeatureRequest) Descriptor 

func (*DeleteFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeatureRequest) GetName 

func (x *DeleteFeatureRequest) GetName() string

func (*DeleteFeatureRequest) ProtoMessage 

func (*DeleteFeatureRequest) ProtoMessage()

func (*DeleteFeatureRequest) ProtoReflect 

func (x *DeleteFeatureRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeatureRequest) Reset 

func (x *DeleteFeatureRequest) Reset()

func (*DeleteFeatureRequest) String 

func (x *DeleteFeatureRequest) String() string

type DeleteFeatureValuesOperationMetadata 

type DeleteFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore delete Features values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that delete Feature values.

func (*DeleteFeatureValuesOperationMetadata) Descriptor 

func (*DeleteFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesOperationMetadata) GetGenericMetadata 

func (x *DeleteFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeleteFeatureValuesOperationMetadata) ProtoMessage 

func (*DeleteFeatureValuesOperationMetadata) ProtoMessage()

func (*DeleteFeatureValuesOperationMetadata) ProtoReflect 

func (x *DeleteFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesOperationMetadata) Reset 

func (x *DeleteFeatureValuesOperationMetadata) Reset()

func (*DeleteFeatureValuesOperationMetadata) String 

func (x *DeleteFeatureValuesOperationMetadata) String() string

type DeleteFeatureValuesRequest 

type DeleteFeatureValuesRequest struct {

	// Defines options to select feature values to be deleted.
	//
	// Types that are assignable to DeleteOption:
	//
	//	*DeleteFeatureValuesRequest_SelectEntity_
	//	*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_
	DeleteOption isDeleteFeatureValuesRequest_DeleteOption `protobuf_oneof:"DeleteOption"`
	// Required. The resource name of the EntityType grouping the Features for
	// which values are being deleted from. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].

func (*DeleteFeatureValuesRequest) Descriptor 

func (*DeleteFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesRequest) GetDeleteOption 

func (m *DeleteFeatureValuesRequest) GetDeleteOption() isDeleteFeatureValuesRequest_DeleteOption

func (*DeleteFeatureValuesRequest) GetEntityType 

func (x *DeleteFeatureValuesRequest) GetEntityType() string

func (*DeleteFeatureValuesRequest) GetSelectEntity 

func (x *DeleteFeatureValuesRequest) GetSelectEntity() *DeleteFeatureValuesRequest_SelectEntity

func (*DeleteFeatureValuesRequest) GetSelectTimeRangeAndFeature 

func (x *DeleteFeatureValuesRequest) GetSelectTimeRangeAndFeature() *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature

func (*DeleteFeatureValuesRequest) ProtoMessage 

func (*DeleteFeatureValuesRequest) ProtoMessage()

func (*DeleteFeatureValuesRequest) ProtoReflect 

func (x *DeleteFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesRequest) Reset 

func (x *DeleteFeatureValuesRequest) Reset()

func (*DeleteFeatureValuesRequest) String 

func (x *DeleteFeatureValuesRequest) String() string

type DeleteFeatureValuesRequest_SelectEntity 

type DeleteFeatureValuesRequest_SelectEntity struct {

	// Required. Selectors choosing feature values of which entity id to be
	// deleted from the EntityType.
	EntityIdSelector *EntityIdSelector `protobuf:"bytes,1,opt,name=entity_id_selector,json=entityIdSelector,proto3" json:"entity_id_selector,omitempty"`
	// contains filtered or unexported fields
}

Message to select entity. If an entity id is selected, all the feature values corresponding to the entity id will be deleted, including the entityId.

func (*DeleteFeatureValuesRequest_SelectEntity) Descriptor 

func (*DeleteFeatureValuesRequest_SelectEntity) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesRequest_SelectEntity.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesRequest_SelectEntity) GetEntityIdSelector 

func (x *DeleteFeatureValuesRequest_SelectEntity) GetEntityIdSelector() *EntityIdSelector

func (*DeleteFeatureValuesRequest_SelectEntity) ProtoMessage 

func (*DeleteFeatureValuesRequest_SelectEntity) ProtoMessage()

func (*DeleteFeatureValuesRequest_SelectEntity) ProtoReflect 

func (x *DeleteFeatureValuesRequest_SelectEntity) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesRequest_SelectEntity) Reset 

func (x *DeleteFeatureValuesRequest_SelectEntity) Reset()

func (*DeleteFeatureValuesRequest_SelectEntity) String 

func (x *DeleteFeatureValuesRequest_SelectEntity) String() string

type DeleteFeatureValuesRequest_SelectEntity_ 

type DeleteFeatureValuesRequest_SelectEntity_ struct {
	// Select feature values to be deleted by specifying entities.
	SelectEntity *DeleteFeatureValuesRequest_SelectEntity `protobuf:"bytes,2,opt,name=select_entity,json=selectEntity,proto3,oneof"`
}

type DeleteFeatureValuesRequest_SelectTimeRangeAndFeature 

type DeleteFeatureValuesRequest_SelectTimeRangeAndFeature struct {

	// Required. Select feature generated within a half-inclusive time range.
	// The time range is lower inclusive and upper exclusive.
	TimeRange *interval.Interval `protobuf:"bytes,1,opt,name=time_range,json=timeRange,proto3" json:"time_range,omitempty"`
	// Required. Selectors choosing which feature values to be deleted from the
	// EntityType.
	FeatureSelector *FeatureSelector `protobuf:"bytes,2,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// If set, data will not be deleted from online storage.
	// When time range is older than the data in online storage, setting this to
	// be true will make the deletion have no impact on online serving.
	SkipOnlineStorageDelete bool `protobuf:"varint,3,opt,name=skip_online_storage_delete,json=skipOnlineStorageDelete,proto3" json:"skip_online_storage_delete,omitempty"`
	// contains filtered or unexported fields
}

Message to select time range and feature. Values of the selected feature generated within an inclusive time range will be deleted. Using this option permanently deletes the feature values from the specified feature IDs within the specified time range. This might include data from the online storage. If you want to retain any deleted historical data in the online storage, you must re-ingest it.

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Descriptor 

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesRequest_SelectTimeRangeAndFeature.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetFeatureSelector 

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetFeatureSelector() *FeatureSelector

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetSkipOnlineStorageDelete 

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetSkipOnlineStorageDelete() bool

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetTimeRange 

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetTimeRange() *interval.Interval

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoMessage 

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoMessage()

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoReflect 

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Reset 

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Reset()

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) String 

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) String() string

type DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_ 

type DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_ struct {
	// Select feature values to be deleted by specifying time range and
	// features.
	SelectTimeRangeAndFeature *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature `protobuf:"bytes,3,opt,name=select_time_range_and_feature,json=selectTimeRangeAndFeature,proto3,oneof"`
}

type DeleteFeatureValuesResponse 

type DeleteFeatureValuesResponse struct {

	// Response based on which delete option is specified in the
	// request
	//
	// Types that are assignable to Response:
	//
	//	*DeleteFeatureValuesResponse_SelectEntity_
	//	*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_
	Response isDeleteFeatureValuesResponse_Response `protobuf_oneof:"response"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].

func (*DeleteFeatureValuesResponse) Descriptor 

func (*DeleteFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesResponse) GetResponse 

func (m *DeleteFeatureValuesResponse) GetResponse() isDeleteFeatureValuesResponse_Response

func (*DeleteFeatureValuesResponse) GetSelectEntity 

func (x *DeleteFeatureValuesResponse) GetSelectEntity() *DeleteFeatureValuesResponse_SelectEntity

func (*DeleteFeatureValuesResponse) GetSelectTimeRangeAndFeature 

func (x *DeleteFeatureValuesResponse) GetSelectTimeRangeAndFeature() *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature

func (*DeleteFeatureValuesResponse) ProtoMessage 

func (*DeleteFeatureValuesResponse) ProtoMessage()

func (*DeleteFeatureValuesResponse) ProtoReflect 

func (x *DeleteFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesResponse) Reset 

func (x *DeleteFeatureValuesResponse) Reset()

func (*DeleteFeatureValuesResponse) String 

func (x *DeleteFeatureValuesResponse) String() string

type DeleteFeatureValuesResponse_SelectEntity 

type DeleteFeatureValuesResponse_SelectEntity struct {

	// The count of deleted entity rows in the offline storage.
	// Each row corresponds to the combination of an entity ID and a timestamp.
	// One entity ID can have multiple rows in the offline storage.
	OfflineStorageDeletedEntityRowCount int64 `protobuf:"varint,1,opt,name=offline_storage_deleted_entity_row_count,json=offlineStorageDeletedEntityRowCount,proto3" json:"offline_storage_deleted_entity_row_count,omitempty"`
	// The count of deleted entities in the online storage.
	// Each entity ID corresponds to one entity.
	OnlineStorageDeletedEntityCount int64 `protobuf:"varint,2,opt,name=online_storage_deleted_entity_count,json=onlineStorageDeletedEntityCount,proto3" json:"online_storage_deleted_entity_count,omitempty"`
	// contains filtered or unexported fields
}

Response message if the request uses the SelectEntity option.

func (*DeleteFeatureValuesResponse_SelectEntity) Descriptor 

func (*DeleteFeatureValuesResponse_SelectEntity) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesResponse_SelectEntity.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesResponse_SelectEntity) GetOfflineStorageDeletedEntityRowCount 

func (x *DeleteFeatureValuesResponse_SelectEntity) GetOfflineStorageDeletedEntityRowCount() int64

func (*DeleteFeatureValuesResponse_SelectEntity) GetOnlineStorageDeletedEntityCount 

func (x *DeleteFeatureValuesResponse_SelectEntity) GetOnlineStorageDeletedEntityCount() int64

func (*DeleteFeatureValuesResponse_SelectEntity) ProtoMessage 

func (*DeleteFeatureValuesResponse_SelectEntity) ProtoMessage()

func (*DeleteFeatureValuesResponse_SelectEntity) ProtoReflect 

func (x *DeleteFeatureValuesResponse_SelectEntity) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesResponse_SelectEntity) Reset 

func (x *DeleteFeatureValuesResponse_SelectEntity) Reset()

func (*DeleteFeatureValuesResponse_SelectEntity) String 

func (x *DeleteFeatureValuesResponse_SelectEntity) String() string

type DeleteFeatureValuesResponse_SelectEntity_ 

type DeleteFeatureValuesResponse_SelectEntity_ struct {
	// Response for request specifying the entities to delete
	SelectEntity *DeleteFeatureValuesResponse_SelectEntity `protobuf:"bytes,1,opt,name=select_entity,json=selectEntity,proto3,oneof"`
}

type DeleteFeatureValuesResponse_SelectTimeRangeAndFeature 

type DeleteFeatureValuesResponse_SelectTimeRangeAndFeature struct {

	// The count of the features or columns impacted.
	// This is the same as the feature count in the request.
	ImpactedFeatureCount int64 `protobuf:"varint,1,opt,name=impacted_feature_count,json=impactedFeatureCount,proto3" json:"impacted_feature_count,omitempty"`
	// The count of modified entity rows in the offline storage.
	// Each row corresponds to the combination of an entity ID and a timestamp.
	// One entity ID can have multiple rows in the offline storage.
	// Within each row, only the features specified in the request are
	// deleted.
	OfflineStorageModifiedEntityRowCount int64 `protobuf:"varint,2,opt,name=offline_storage_modified_entity_row_count,json=offlineStorageModifiedEntityRowCount,proto3" json:"offline_storage_modified_entity_row_count,omitempty"`
	// The count of modified entities in the online storage.
	// Each entity ID corresponds to one entity.
	// Within each entity, only the features specified in the request are
	// deleted.
	OnlineStorageModifiedEntityCount int64 `protobuf:"varint,3,opt,name=online_storage_modified_entity_count,json=onlineStorageModifiedEntityCount,proto3" json:"online_storage_modified_entity_count,omitempty"`
	// contains filtered or unexported fields
}

Response message if the request uses the SelectTimeRangeAndFeature option.

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Descriptor 

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesResponse_SelectTimeRangeAndFeature.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetImpactedFeatureCount 

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetImpactedFeatureCount() int64

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOfflineStorageModifiedEntityRowCount 

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOfflineStorageModifiedEntityRowCount() int64

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOnlineStorageModifiedEntityCount 

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOnlineStorageModifiedEntityCount() int64

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoMessage 

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoMessage()

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoReflect 

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Reset 

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Reset()

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) String 

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) String() string

type DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_ 

type DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_ struct {
	// Response for request specifying time range and feature
	SelectTimeRangeAndFeature *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature `protobuf:"bytes,2,opt,name=select_time_range_and_feature,json=selectTimeRangeAndFeature,proto3,oneof"`
}

type DeleteFeatureViewRequest 

type DeleteFeatureViewRequest struct {

	// Required. The name of the FeatureView to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.DeleteFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureView].

func (*DeleteFeatureViewRequest) Descriptor 

func (*DeleteFeatureViewRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureViewRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeatureViewRequest) GetName 

func (x *DeleteFeatureViewRequest) GetName() string

func (*DeleteFeatureViewRequest) ProtoMessage 

func (*DeleteFeatureViewRequest) ProtoMessage()

func (*DeleteFeatureViewRequest) ProtoReflect 

func (x *DeleteFeatureViewRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeatureViewRequest) Reset 

func (x *DeleteFeatureViewRequest) Reset()

func (*DeleteFeatureViewRequest) String 

func (x *DeleteFeatureViewRequest) String() string

type DeleteFeaturestoreRequest 

type DeleteFeaturestoreRequest struct {

	// Required. The name of the Featurestore to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any EntityTypes and Features for this Featurestore will
	// also be deleted. (Otherwise, the request will only work if the Featurestore
	// has no EntityTypes.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].

func (*DeleteFeaturestoreRequest) Descriptor 

func (*DeleteFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeaturestoreRequest) GetForce 

func (x *DeleteFeaturestoreRequest) GetForce() bool

func (*DeleteFeaturestoreRequest) GetName 

func (x *DeleteFeaturestoreRequest) GetName() string

func (*DeleteFeaturestoreRequest) ProtoMessage 

func (*DeleteFeaturestoreRequest) ProtoMessage()

func (*DeleteFeaturestoreRequest) ProtoReflect 

func (x *DeleteFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeaturestoreRequest) Reset 

func (x *DeleteFeaturestoreRequest) Reset()

func (*DeleteFeaturestoreRequest) String 

func (x *DeleteFeaturestoreRequest) String() string

type DeleteHyperparameterTuningJobRequest 

type DeleteHyperparameterTuningJobRequest struct {

	// Required. The name of the HyperparameterTuningJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].

func (*DeleteHyperparameterTuningJobRequest) Descriptor 

func (*DeleteHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteHyperparameterTuningJobRequest) GetName 

func (x *DeleteHyperparameterTuningJobRequest) GetName() string

func (*DeleteHyperparameterTuningJobRequest) ProtoMessage 

func (*DeleteHyperparameterTuningJobRequest) ProtoMessage()

func (*DeleteHyperparameterTuningJobRequest) ProtoReflect 

func (x *DeleteHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteHyperparameterTuningJobRequest) Reset 

func (x *DeleteHyperparameterTuningJobRequest) Reset()

func (*DeleteHyperparameterTuningJobRequest) String 

func (x *DeleteHyperparameterTuningJobRequest) String() string

type DeleteIndexEndpointRequest 

type DeleteIndexEndpointRequest struct {

	// Required. The name of the IndexEndpoint resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].

func (*DeleteIndexEndpointRequest) Descriptor 

func (*DeleteIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*DeleteIndexEndpointRequest) GetName 

func (x *DeleteIndexEndpointRequest) GetName() string

func (*DeleteIndexEndpointRequest) ProtoMessage 

func (*DeleteIndexEndpointRequest) ProtoMessage()

func (*DeleteIndexEndpointRequest) ProtoReflect 

func (x *DeleteIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*DeleteIndexEndpointRequest) Reset 

func (x *DeleteIndexEndpointRequest) Reset()

func (*DeleteIndexEndpointRequest) String 

func (x *DeleteIndexEndpointRequest) String() string

type DeleteIndexRequest 

type DeleteIndexRequest struct {

	// Required. The name of the Index resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].

func (*DeleteIndexRequest) Descriptor 

func (*DeleteIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteIndexRequest.ProtoReflect.Descriptor instead.

func (*DeleteIndexRequest) GetName 

func (x *DeleteIndexRequest) GetName() string

func (*DeleteIndexRequest) ProtoMessage 

func (*DeleteIndexRequest) ProtoMessage()

func (*DeleteIndexRequest) ProtoReflect 

func (x *DeleteIndexRequest) ProtoReflect() protoreflect.Message

func (*DeleteIndexRequest) Reset 

func (x *DeleteIndexRequest) Reset()

func (*DeleteIndexRequest) String 

func (x *DeleteIndexRequest) String() string

type DeleteMetadataStoreOperationMetadata 

type DeleteMetadataStoreOperationMetadata struct {

	// Operation metadata for deleting a MetadataStore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].

func (*DeleteMetadataStoreOperationMetadata) Descriptor 

func (*DeleteMetadataStoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeleteMetadataStoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeleteMetadataStoreOperationMetadata) GetGenericMetadata 

func (x *DeleteMetadataStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeleteMetadataStoreOperationMetadata) ProtoMessage 

func (*DeleteMetadataStoreOperationMetadata) ProtoMessage()

func (*DeleteMetadataStoreOperationMetadata) ProtoReflect 

func (x *DeleteMetadataStoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeleteMetadataStoreOperationMetadata) Reset 

func (x *DeleteMetadataStoreOperationMetadata) Reset()

func (*DeleteMetadataStoreOperationMetadata) String 

func (x *DeleteMetadataStoreOperationMetadata) String() string

type DeleteMetadataStoreRequest 

type DeleteMetadataStoreRequest struct {

	// Required. The resource name of the MetadataStore to delete.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Deprecated: Field is no longer supported.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/metadata_service.proto.
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].

func (*DeleteMetadataStoreRequest) Descriptor 

func (*DeleteMetadataStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteMetadataStoreRequest.ProtoReflect.Descriptor instead.

func (*DeleteMetadataStoreRequest) GetForce 

func (x *DeleteMetadataStoreRequest) GetForce() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/metadata_service.proto.

func (*DeleteMetadataStoreRequest) GetName 

func (x *DeleteMetadataStoreRequest) GetName() string

func (*DeleteMetadataStoreRequest) ProtoMessage 

func (*DeleteMetadataStoreRequest) ProtoMessage()

func (*DeleteMetadataStoreRequest) ProtoReflect 

func (x *DeleteMetadataStoreRequest) ProtoReflect() protoreflect.Message

func (*DeleteMetadataStoreRequest) Reset 

func (x *DeleteMetadataStoreRequest) Reset()

func (*DeleteMetadataStoreRequest) String 

func (x *DeleteMetadataStoreRequest) String() string

type DeleteModelDeploymentMonitoringJobRequest 

type DeleteModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the model monitoring job to delete.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob].

func (*DeleteModelDeploymentMonitoringJobRequest) Descriptor 

func (*DeleteModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteModelDeploymentMonitoringJobRequest) GetName 

func (x *DeleteModelDeploymentMonitoringJobRequest) GetName() string

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *DeleteModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteModelDeploymentMonitoringJobRequest) Reset 

func (x *DeleteModelDeploymentMonitoringJobRequest) Reset()

func (*DeleteModelDeploymentMonitoringJobRequest) String 

func (x *DeleteModelDeploymentMonitoringJobRequest) String() string

type DeleteModelRequest 

type DeleteModelRequest struct {

	// Required. The name of the Model resource to be deleted.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].

func (*DeleteModelRequest) Descriptor 

func (*DeleteModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteModelRequest.ProtoReflect.Descriptor instead.

func (*DeleteModelRequest) GetName 

func (x *DeleteModelRequest) GetName() string

func (*DeleteModelRequest) ProtoMessage 

func (*DeleteModelRequest) ProtoMessage()

func (*DeleteModelRequest) ProtoReflect 

func (x *DeleteModelRequest) ProtoReflect() protoreflect.Message

func (*DeleteModelRequest) Reset 

func (x *DeleteModelRequest) Reset()

func (*DeleteModelRequest) String 

func (x *DeleteModelRequest) String() string

type DeleteModelVersionRequest 

type DeleteModelVersionRequest struct {

	// Required. The name of the model version to be deleted, with a version ID
	// explicitly included.
	//
	// Example: `projects/{project}/locations/{location}/models/{model}@1234`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].

func (*DeleteModelVersionRequest) Descriptor 

func (*DeleteModelVersionRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteModelVersionRequest.ProtoReflect.Descriptor instead.

func (*DeleteModelVersionRequest) GetName 

func (x *DeleteModelVersionRequest) GetName() string

func (*DeleteModelVersionRequest) ProtoMessage 

func (*DeleteModelVersionRequest) ProtoMessage()

func (*DeleteModelVersionRequest) ProtoReflect 

func (x *DeleteModelVersionRequest) ProtoReflect() protoreflect.Message

func (*DeleteModelVersionRequest) Reset 

func (x *DeleteModelVersionRequest) Reset()

func (*DeleteModelVersionRequest) String 

func (x *DeleteModelVersionRequest) String() string

type DeleteNasJobRequest 

type DeleteNasJobRequest struct {

	// Required. The name of the NasJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteNasJob][google.cloud.aiplatform.v1.JobService.DeleteNasJob].

func (*DeleteNasJobRequest) Descriptor 

func (*DeleteNasJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteNasJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteNasJobRequest) GetName 

func (x *DeleteNasJobRequest) GetName() string

func (*DeleteNasJobRequest) ProtoMessage 

func (*DeleteNasJobRequest) ProtoMessage()

func (*DeleteNasJobRequest) ProtoReflect 

func (x *DeleteNasJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteNasJobRequest) Reset 

func (x *DeleteNasJobRequest) Reset()

func (*DeleteNasJobRequest) String 

func (x *DeleteNasJobRequest) String() string

type DeleteNotebookExecutionJobRequest 

type DeleteNotebookExecutionJobRequest struct {

	// Required. The name of the NotebookExecutionJob resource to be deleted.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.DeleteNotebookExecutionJob]

func (*DeleteNotebookExecutionJobRequest) Descriptor 

func (*DeleteNotebookExecutionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteNotebookExecutionJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteNotebookExecutionJobRequest) GetName 

func (x *DeleteNotebookExecutionJobRequest) GetName() string

func (*DeleteNotebookExecutionJobRequest) ProtoMessage 

func (*DeleteNotebookExecutionJobRequest) ProtoMessage()

func (*DeleteNotebookExecutionJobRequest) ProtoReflect 

func (x *DeleteNotebookExecutionJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteNotebookExecutionJobRequest) Reset 

func (x *DeleteNotebookExecutionJobRequest) Reset()

func (*DeleteNotebookExecutionJobRequest) String 

func (x *DeleteNotebookExecutionJobRequest) String() string

type DeleteNotebookRuntimeRequest 

type DeleteNotebookRuntimeRequest struct {

	// Required. The name of the NotebookRuntime resource to be deleted.
	// Instead of checking whether the name is in valid NotebookRuntime resource
	// name format, directly throw NotFound exception if there is no such
	// NotebookRuntime in spanner.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.DeleteNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntime].

func (*DeleteNotebookRuntimeRequest) Descriptor 

func (*DeleteNotebookRuntimeRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteNotebookRuntimeRequest.ProtoReflect.Descriptor instead.

func (*DeleteNotebookRuntimeRequest) GetName 

func (x *DeleteNotebookRuntimeRequest) GetName() string

func (*DeleteNotebookRuntimeRequest) ProtoMessage 

func (*DeleteNotebookRuntimeRequest) ProtoMessage()

func (*DeleteNotebookRuntimeRequest) ProtoReflect 

func (x *DeleteNotebookRuntimeRequest) ProtoReflect() protoreflect.Message

func (*DeleteNotebookRuntimeRequest) Reset 

func (x *DeleteNotebookRuntimeRequest) Reset()

func (*DeleteNotebookRuntimeRequest) String 

func (x *DeleteNotebookRuntimeRequest) String() string

type DeleteNotebookRuntimeTemplateRequest 

type DeleteNotebookRuntimeTemplateRequest struct {

	// Required. The name of the NotebookRuntimeTemplate resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.DeleteNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntimeTemplate].

func (*DeleteNotebookRuntimeTemplateRequest) Descriptor 

func (*DeleteNotebookRuntimeTemplateRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteNotebookRuntimeTemplateRequest.ProtoReflect.Descriptor instead.

func (*DeleteNotebookRuntimeTemplateRequest) GetName 

func (x *DeleteNotebookRuntimeTemplateRequest) GetName() string

func (*DeleteNotebookRuntimeTemplateRequest) ProtoMessage 

func (*DeleteNotebookRuntimeTemplateRequest) ProtoMessage()

func (*DeleteNotebookRuntimeTemplateRequest) ProtoReflect 

func (x *DeleteNotebookRuntimeTemplateRequest) ProtoReflect() protoreflect.Message

func (*DeleteNotebookRuntimeTemplateRequest) Reset 

func (x *DeleteNotebookRuntimeTemplateRequest) Reset()

func (*DeleteNotebookRuntimeTemplateRequest) String 

func (x *DeleteNotebookRuntimeTemplateRequest) String() string

type DeleteOperationMetadata 

type DeleteOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform deletes of any entities.

func (*DeleteOperationMetadata) Descriptor 

func (*DeleteOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeleteOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeleteOperationMetadata) GetGenericMetadata 

func (x *DeleteOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeleteOperationMetadata) ProtoMessage 

func (*DeleteOperationMetadata) ProtoMessage()

func (*DeleteOperationMetadata) ProtoReflect 

func (x *DeleteOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeleteOperationMetadata) Reset 

func (x *DeleteOperationMetadata) Reset()

func (*DeleteOperationMetadata) String 

func (x *DeleteOperationMetadata) String() string

type DeletePersistentResourceRequest 

type DeletePersistentResourceRequest struct {

	// Required. The name of the PersistentResource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/persistentResources/{persistent_resource}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PersistentResourceService.DeletePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.DeletePersistentResource].

func (*DeletePersistentResourceRequest) Descriptor 

func (*DeletePersistentResourceRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeletePersistentResourceRequest.ProtoReflect.Descriptor instead.

func (*DeletePersistentResourceRequest) GetName 

func (x *DeletePersistentResourceRequest) GetName() string

func (*DeletePersistentResourceRequest) ProtoMessage 

func (*DeletePersistentResourceRequest) ProtoMessage()

func (*DeletePersistentResourceRequest) ProtoReflect 

func (x *DeletePersistentResourceRequest) ProtoReflect() protoreflect.Message

func (*DeletePersistentResourceRequest) Reset 

func (x *DeletePersistentResourceRequest) Reset()

func (*DeletePersistentResourceRequest) String 

func (x *DeletePersistentResourceRequest) String() string

type DeletePipelineJobRequest 

type DeletePipelineJobRequest struct {

	// Required. The name of the PipelineJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].

func (*DeletePipelineJobRequest) Descriptor 

func (*DeletePipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeletePipelineJobRequest.ProtoReflect.Descriptor instead.

func (*DeletePipelineJobRequest) GetName 

func (x *DeletePipelineJobRequest) GetName() string

func (*DeletePipelineJobRequest) ProtoMessage 

func (*DeletePipelineJobRequest) ProtoMessage()

func (*DeletePipelineJobRequest) ProtoReflect 

func (x *DeletePipelineJobRequest) ProtoReflect() protoreflect.Message

func (*DeletePipelineJobRequest) Reset 

func (x *DeletePipelineJobRequest) Reset()

func (*DeletePipelineJobRequest) String 

func (x *DeletePipelineJobRequest) String() string

type DeleteRagCorpusRequest 

type DeleteRagCorpusRequest struct {

	// Required. The name of the RagCorpus resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. If set to true, any RagFiles in this RagCorpus will also be
	// deleted. Otherwise, the request will only work if the RagCorpus has no
	// RagFiles.
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.DeleteRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.DeleteRagCorpus].

func (*DeleteRagCorpusRequest) Descriptor 

func (*DeleteRagCorpusRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteRagCorpusRequest.ProtoReflect.Descriptor instead.

func (*DeleteRagCorpusRequest) GetForce 

func (x *DeleteRagCorpusRequest) GetForce() bool

func (*DeleteRagCorpusRequest) GetName 

func (x *DeleteRagCorpusRequest) GetName() string

func (*DeleteRagCorpusRequest) ProtoMessage 

func (*DeleteRagCorpusRequest) ProtoMessage()

func (*DeleteRagCorpusRequest) ProtoReflect 

func (x *DeleteRagCorpusRequest) ProtoReflect() protoreflect.Message

func (*DeleteRagCorpusRequest) Reset 

func (x *DeleteRagCorpusRequest) Reset()

func (*DeleteRagCorpusRequest) String 

func (x *DeleteRagCorpusRequest) String() string

type DeleteRagFileRequest 

type DeleteRagFileRequest struct {

	// Required. The name of the RagFile resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}/ragFiles/{rag_file}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.DeleteRagFile][google.cloud.aiplatform.v1.VertexRagDataService.DeleteRagFile].

func (*DeleteRagFileRequest) Descriptor 

func (*DeleteRagFileRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteRagFileRequest.ProtoReflect.Descriptor instead.

func (*DeleteRagFileRequest) GetName 

func (x *DeleteRagFileRequest) GetName() string

func (*DeleteRagFileRequest) ProtoMessage 

func (*DeleteRagFileRequest) ProtoMessage()

func (*DeleteRagFileRequest) ProtoReflect 

func (x *DeleteRagFileRequest) ProtoReflect() protoreflect.Message

func (*DeleteRagFileRequest) Reset 

func (x *DeleteRagFileRequest) Reset()

func (*DeleteRagFileRequest) String 

func (x *DeleteRagFileRequest) String() string

type DeleteReasoningEngineRequest 

type DeleteReasoningEngineRequest struct {

	// Required. The name of the ReasoningEngine resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ReasoningEngineService.DeleteReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.DeleteReasoningEngine].

func (*DeleteReasoningEngineRequest) Descriptor 

func (*DeleteReasoningEngineRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteReasoningEngineRequest.ProtoReflect.Descriptor instead.

func (*DeleteReasoningEngineRequest) GetName 

func (x *DeleteReasoningEngineRequest) GetName() string

func (*DeleteReasoningEngineRequest) ProtoMessage 

func (*DeleteReasoningEngineRequest) ProtoMessage()

func (*DeleteReasoningEngineRequest) ProtoReflect 

func (x *DeleteReasoningEngineRequest) ProtoReflect() protoreflect.Message

func (*DeleteReasoningEngineRequest) Reset 

func (x *DeleteReasoningEngineRequest) Reset()

func (*DeleteReasoningEngineRequest) String 

func (x *DeleteReasoningEngineRequest) String() string

type DeleteSavedQueryRequest 

type DeleteSavedQueryRequest struct {

	// Required. The resource name of the SavedQuery to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.DeleteSavedQuery][google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery].

func (*DeleteSavedQueryRequest) Descriptor 

func (*DeleteSavedQueryRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteSavedQueryRequest.ProtoReflect.Descriptor instead.

func (*DeleteSavedQueryRequest) GetName 

func (x *DeleteSavedQueryRequest) GetName() string

func (*DeleteSavedQueryRequest) ProtoMessage 

func (*DeleteSavedQueryRequest) ProtoMessage()

func (*DeleteSavedQueryRequest) ProtoReflect 

func (x *DeleteSavedQueryRequest) ProtoReflect() protoreflect.Message

func (*DeleteSavedQueryRequest) Reset 

func (x *DeleteSavedQueryRequest) Reset()

func (*DeleteSavedQueryRequest) String 

func (x *DeleteSavedQueryRequest) String() string

type DeleteScheduleRequest 

type DeleteScheduleRequest struct {

	// Required. The name of the Schedule resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/schedules/{schedule}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ScheduleService.DeleteSchedule][google.cloud.aiplatform.v1.ScheduleService.DeleteSchedule].

func (*DeleteScheduleRequest) Descriptor 

func (*DeleteScheduleRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteScheduleRequest.ProtoReflect.Descriptor instead.

func (*DeleteScheduleRequest) GetName 

func (x *DeleteScheduleRequest) GetName() string

func (*DeleteScheduleRequest) ProtoMessage 

func (*DeleteScheduleRequest) ProtoMessage()

func (*DeleteScheduleRequest) ProtoReflect 

func (x *DeleteScheduleRequest) ProtoReflect() protoreflect.Message

func (*DeleteScheduleRequest) Reset 

func (x *DeleteScheduleRequest) Reset()

func (*DeleteScheduleRequest) String 

func (x *DeleteScheduleRequest) String() string

type DeleteSpecialistPoolRequest 

type DeleteSpecialistPoolRequest struct {

	// Required. The resource name of the SpecialistPool to delete. Format:
	// `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any specialist managers in this SpecialistPool will also be
	// deleted. (Otherwise, the request will only work if the SpecialistPool has
	// no specialist managers.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].

func (*DeleteSpecialistPoolRequest) Descriptor 

func (*DeleteSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*DeleteSpecialistPoolRequest) GetForce 

func (x *DeleteSpecialistPoolRequest) GetForce() bool

func (*DeleteSpecialistPoolRequest) GetName 

func (x *DeleteSpecialistPoolRequest) GetName() string

func (*DeleteSpecialistPoolRequest) ProtoMessage 

func (*DeleteSpecialistPoolRequest) ProtoMessage()

func (*DeleteSpecialistPoolRequest) ProtoReflect 

func (x *DeleteSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*DeleteSpecialistPoolRequest) Reset 

func (x *DeleteSpecialistPoolRequest) Reset()

func (*DeleteSpecialistPoolRequest) String 

func (x *DeleteSpecialistPoolRequest) String() string

type DeleteStudyRequest 

type DeleteStudyRequest struct {

	// Required. The name of the Study resource to be deleted.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].

func (*DeleteStudyRequest) Descriptor 

func (*DeleteStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteStudyRequest.ProtoReflect.Descriptor instead.

func (*DeleteStudyRequest) GetName 

func (x *DeleteStudyRequest) GetName() string

func (*DeleteStudyRequest) ProtoMessage 

func (*DeleteStudyRequest) ProtoMessage()

func (*DeleteStudyRequest) ProtoReflect 

func (x *DeleteStudyRequest) ProtoReflect() protoreflect.Message

func (*DeleteStudyRequest) Reset 

func (x *DeleteStudyRequest) Reset()

func (*DeleteStudyRequest) String 

func (x *DeleteStudyRequest) String() string

type DeleteTensorboardExperimentRequest 

type DeleteTensorboardExperimentRequest struct {

	// Required. The name of the TensorboardExperiment to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].

func (*DeleteTensorboardExperimentRequest) Descriptor 

func (*DeleteTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardExperimentRequest) GetName 

func (x *DeleteTensorboardExperimentRequest) GetName() string

func (*DeleteTensorboardExperimentRequest) ProtoMessage 

func (*DeleteTensorboardExperimentRequest) ProtoMessage()

func (*DeleteTensorboardExperimentRequest) ProtoReflect 

func (x *DeleteTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardExperimentRequest) Reset 

func (x *DeleteTensorboardExperimentRequest) Reset()

func (*DeleteTensorboardExperimentRequest) String 

func (x *DeleteTensorboardExperimentRequest) String() string

type DeleteTensorboardRequest 

type DeleteTensorboardRequest struct {

	// Required. The name of the Tensorboard to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].

func (*DeleteTensorboardRequest) Descriptor 

func (*DeleteTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardRequest) GetName 

func (x *DeleteTensorboardRequest) GetName() string

func (*DeleteTensorboardRequest) ProtoMessage 

func (*DeleteTensorboardRequest) ProtoMessage()

func (*DeleteTensorboardRequest) ProtoReflect 

func (x *DeleteTensorboardRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardRequest) Reset 

func (x *DeleteTensorboardRequest) Reset()

func (*DeleteTensorboardRequest) String 

func (x *DeleteTensorboardRequest) String() string

type DeleteTensorboardRunRequest 

type DeleteTensorboardRunRequest struct {

	// Required. The name of the TensorboardRun to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].

func (*DeleteTensorboardRunRequest) Descriptor 

func (*DeleteTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardRunRequest) GetName 

func (x *DeleteTensorboardRunRequest) GetName() string

func (*DeleteTensorboardRunRequest) ProtoMessage 

func (*DeleteTensorboardRunRequest) ProtoMessage()

func (*DeleteTensorboardRunRequest) ProtoReflect 

func (x *DeleteTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardRunRequest) Reset 

func (x *DeleteTensorboardRunRequest) Reset()

func (*DeleteTensorboardRunRequest) String 

func (x *DeleteTensorboardRunRequest) String() string

type DeleteTensorboardTimeSeriesRequest 

type DeleteTensorboardTimeSeriesRequest struct {

	// Required. The name of the TensorboardTimeSeries to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].

func (*DeleteTensorboardTimeSeriesRequest) Descriptor 

func (*DeleteTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardTimeSeriesRequest) GetName 

func (x *DeleteTensorboardTimeSeriesRequest) GetName() string

func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage 

func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage()

func (*DeleteTensorboardTimeSeriesRequest) ProtoReflect 

func (x *DeleteTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardTimeSeriesRequest) Reset 

func (x *DeleteTensorboardTimeSeriesRequest) Reset()

func (*DeleteTensorboardTimeSeriesRequest) String 

func (x *DeleteTensorboardTimeSeriesRequest) String() string

type DeleteTrainingPipelineRequest 

type DeleteTrainingPipelineRequest struct {

	// Required. The name of the TrainingPipeline resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].

func (*DeleteTrainingPipelineRequest) Descriptor 

func (*DeleteTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*DeleteTrainingPipelineRequest) GetName 

func (x *DeleteTrainingPipelineRequest) GetName() string

func (*DeleteTrainingPipelineRequest) ProtoMessage 

func (*DeleteTrainingPipelineRequest) ProtoMessage()

func (*DeleteTrainingPipelineRequest) ProtoReflect 

func (x *DeleteTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*DeleteTrainingPipelineRequest) Reset 

func (x *DeleteTrainingPipelineRequest) Reset()

func (*DeleteTrainingPipelineRequest) String 

func (x *DeleteTrainingPipelineRequest) String() string

type DeleteTrialRequest 

type DeleteTrialRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].

func (*DeleteTrialRequest) Descriptor 

func (*DeleteTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTrialRequest.ProtoReflect.Descriptor instead.

func (*DeleteTrialRequest) GetName 

func (x *DeleteTrialRequest) GetName() string

func (*DeleteTrialRequest) ProtoMessage 

func (*DeleteTrialRequest) ProtoMessage()

func (*DeleteTrialRequest) ProtoReflect 

func (x *DeleteTrialRequest) ProtoReflect() protoreflect.Message

func (*DeleteTrialRequest) Reset 

func (x *DeleteTrialRequest) Reset()

func (*DeleteTrialRequest) String 

func (x *DeleteTrialRequest) String() string

type DeployIndexOperationMetadata 

type DeployIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The unique index id specified by user
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].

func (*DeployIndexOperationMetadata) Descriptor 

func (*DeployIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeployIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeployIndexOperationMetadata) GetDeployedIndexId 

func (x *DeployIndexOperationMetadata) GetDeployedIndexId() string

func (*DeployIndexOperationMetadata) GetGenericMetadata 

func (x *DeployIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeployIndexOperationMetadata) ProtoMessage 

func (*DeployIndexOperationMetadata) ProtoMessage()

func (*DeployIndexOperationMetadata) ProtoReflect 

func (x *DeployIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeployIndexOperationMetadata) Reset 

func (x *DeployIndexOperationMetadata) Reset()

func (*DeployIndexOperationMetadata) String 

func (x *DeployIndexOperationMetadata) String() string

type DeployIndexRequest 

type DeployIndexRequest struct {

	// Required. The name of the IndexEndpoint resource into which to deploy an
	// Index. Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The DeployedIndex to be created within the IndexEndpoint.
	DeployedIndex *DeployedIndex `protobuf:"bytes,2,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].

func (*DeployIndexRequest) Descriptor 

func (*DeployIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeployIndexRequest.ProtoReflect.Descriptor instead.

func (*DeployIndexRequest) GetDeployedIndex 

func (x *DeployIndexRequest) GetDeployedIndex() *DeployedIndex

func (*DeployIndexRequest) GetIndexEndpoint 

func (x *DeployIndexRequest) GetIndexEndpoint() string

func (*DeployIndexRequest) ProtoMessage 

func (*DeployIndexRequest) ProtoMessage()

func (*DeployIndexRequest) ProtoReflect 

func (x *DeployIndexRequest) ProtoReflect() protoreflect.Message

func (*DeployIndexRequest) Reset 

func (x *DeployIndexRequest) Reset()

func (*DeployIndexRequest) String 

func (x *DeployIndexRequest) String() string

type DeployIndexResponse 

type DeployIndexResponse struct {

	// The DeployedIndex that had been deployed in the IndexEndpoint.
	DeployedIndex *DeployedIndex `protobuf:"bytes,1,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].

func (*DeployIndexResponse) Descriptor 

func (*DeployIndexResponse) Descriptor() ([]byte, []int)

Deprecated: Use DeployIndexResponse.ProtoReflect.Descriptor instead.

func (*DeployIndexResponse) GetDeployedIndex 

func (x *DeployIndexResponse) GetDeployedIndex() *DeployedIndex

func (*DeployIndexResponse) ProtoMessage 

func (*DeployIndexResponse) ProtoMessage()

func (*DeployIndexResponse) ProtoReflect 

func (x *DeployIndexResponse) ProtoReflect() protoreflect.Message

func (*DeployIndexResponse) Reset 

func (x *DeployIndexResponse) Reset()

func (*DeployIndexResponse) String 

func (x *DeployIndexResponse) String() string

type DeployModelOperationMetadata 

type DeployModelOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].

func (*DeployModelOperationMetadata) Descriptor 

func (*DeployModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeployModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeployModelOperationMetadata) GetGenericMetadata 

func (x *DeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeployModelOperationMetadata) ProtoMessage 

func (*DeployModelOperationMetadata) ProtoMessage()

func (*DeployModelOperationMetadata) ProtoReflect 

func (x *DeployModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeployModelOperationMetadata) Reset 

func (x *DeployModelOperationMetadata) Reset()

func (*DeployModelOperationMetadata) String 

func (x *DeployModelOperationMetadata) String() string

type DeployModelRequest 

type DeployModelRequest struct {

	// Required. The name of the Endpoint resource into which to deploy a Model.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The DeployedModel to be created within the Endpoint. Note that
	// [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
	// must be updated for the DeployedModel to start receiving traffic, either as
	// part of this call, or via
	// [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
	DeployedModel *DeployedModel `protobuf:"bytes,2,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// A map from a DeployedModel's ID to the percentage of this Endpoint's
	// traffic that should be forwarded to that DeployedModel.
	//
	// If this field is non-empty, then the Endpoint's
	// [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
	// overwritten with it. To refer to the ID of the just being deployed Model, a
	// "0" should be used, and the actual ID of the new DeployedModel will be
	// filled in its place by this method. The traffic percentage values must add
	// up to 100.
	//
	// If this field is empty, then the Endpoint's
	// [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
	// updated.
	TrafficSplit map[string]int32 `protobuf:"bytes,3,rep,name=traffic_split,json=trafficSplit,proto3" json:"traffic_split,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"varint,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].

func (*DeployModelRequest) Descriptor 

func (*DeployModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeployModelRequest.ProtoReflect.Descriptor instead.

func (*DeployModelRequest) GetDeployedModel 

func (x *DeployModelRequest) GetDeployedModel() *DeployedModel

func (*DeployModelRequest) GetEndpoint 

func (x *DeployModelRequest) GetEndpoint() string

func (*DeployModelRequest) GetTrafficSplit 

func (x *DeployModelRequest) GetTrafficSplit() map[string]int32

func (*DeployModelRequest) ProtoMessage 

func (*DeployModelRequest) ProtoMessage()

func (*DeployModelRequest) ProtoReflect 

func (x *DeployModelRequest) ProtoReflect() protoreflect.Message

func (*DeployModelRequest) Reset 

func (x *DeployModelRequest) Reset()

func (*DeployModelRequest) String 

func (x *DeployModelRequest) String() string

type DeployModelResponse 

type DeployModelResponse struct {

	// The DeployedModel that had been deployed in the Endpoint.
	DeployedModel *DeployedModel `protobuf:"bytes,1,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// contains filtered or unexported fields
}

Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].

func (*DeployModelResponse) Descriptor 

func (*DeployModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use DeployModelResponse.ProtoReflect.Descriptor instead.

func (*DeployModelResponse) GetDeployedModel 

func (x *DeployModelResponse) GetDeployedModel() *DeployedModel

func (*DeployModelResponse) ProtoMessage 

func (*DeployModelResponse) ProtoMessage()

func (*DeployModelResponse) ProtoReflect 

func (x *DeployModelResponse) ProtoReflect() protoreflect.Message

func (*DeployModelResponse) Reset 

func (x *DeployModelResponse) Reset()

func (*DeployModelResponse) String 

func (x *DeployModelResponse) String() string

type DeployedIndex 

type DeployedIndex struct {

	// Required. The user specified ID of the DeployedIndex.
	// The ID can be up to 128 characters long and must start with a letter and
	// only contain letters, numbers, and underscores.
	// The ID must be unique within the project it is created in.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Required. The name of the Index this is the deployment of.
	// We may refer to this Index as the DeployedIndex's "original" Index.
	Index string `protobuf:"bytes,2,opt,name=index,proto3" json:"index,omitempty"`
	// The display name of the DeployedIndex. If not provided upon creation,
	// the Index's display_name is used.
	DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Timestamp when the DeployedIndex was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Provides paths for users to send requests directly to the
	// deployed index services running on Cloud via private services access. This
	// field is populated if
	// [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
	PrivateEndpoints *IndexPrivateEndpoints `protobuf:"bytes,5,opt,name=private_endpoints,json=privateEndpoints,proto3" json:"private_endpoints,omitempty"`
	// Output only. The DeployedIndex may depend on various data on its original
	// Index. Additionally when certain changes to the original Index are being
	// done (e.g. when what the Index contains is being changed) the DeployedIndex
	// may be asynchronously updated in the background to reflect these changes.
	// If this timestamp's value is at least the
	// [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
	// original Index, it means that this DeployedIndex and the original Index are
	// in sync. If this timestamp is older, then to see which updates this
	// DeployedIndex already contains (and which it does not), one must
	// [list][google.longrunning.Operations.ListOperations] the operations that
	// are running on the original Index. Only the successfully completed
	// Operations with
	// [update_time][google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
	// equal or before this sync time are contained in this DeployedIndex.
	IndexSyncTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=index_sync_time,json=indexSyncTime,proto3" json:"index_sync_time,omitempty"`
	// Optional. A description of resources that the DeployedIndex uses, which to
	// large degree are decided by Vertex AI, and optionally allows only a modest
	// additional configuration.
	// If min_replica_count is not set, the default value is 2 (we don't provide
	// SLA when min_replica_count=1). If max_replica_count is not set, the
	// default value is min_replica_count. The max allowed replica count is
	// 1000.
	AutomaticResources *AutomaticResources `protobuf:"bytes,7,opt,name=automatic_resources,json=automaticResources,proto3" json:"automatic_resources,omitempty"`
	// Optional. A description of resources that are dedicated to the
	// DeployedIndex, and that need a higher degree of manual configuration. The
	// field min_replica_count must be set to a value strictly greater than 0, or
	// else validation will fail. We don't provide SLA when min_replica_count=1.
	// If max_replica_count is not set, the default value is min_replica_count.
	// The max allowed replica count is 1000.
	//
	// Available machine types for SMALL shard:
	// e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
	//
	// Available machine types for MEDIUM shard:
	// e2-standard-16 and all machine types available for LARGE shard.
	//
	// Available machine types for LARGE shard:
	// e2-highmem-16, n2d-standard-32.
	//
	// n1-standard-16 and n1-standard-32 are still available, but we recommend
	// e2-standard-16 and e2-highmem-16 for cost efficiency.
	DedicatedResources *DedicatedResources `protobuf:"bytes,16,opt,name=dedicated_resources,json=dedicatedResources,proto3" json:"dedicated_resources,omitempty"`
	// Optional. If true, private endpoint's access logs are sent to Cloud
	// Logging.
	//
	// These logs are like standard server access logs, containing
	// information like timestamp and latency for each MatchRequest.
	//
	// Note that logs may incur a cost, especially if the deployed
	// index receives a high queries per second rate (QPS).
	// Estimate your costs before enabling this option.
	EnableAccessLogging bool `protobuf:"varint,8,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"`
	// Optional. If set, the authentication is enabled for the private endpoint.
	DeployedIndexAuthConfig *DeployedIndexAuthConfig `protobuf:"bytes,9,opt,name=deployed_index_auth_config,json=deployedIndexAuthConfig,proto3" json:"deployed_index_auth_config,omitempty"`
	// Optional. A list of reserved ip ranges under the VPC network that can be
	// used for this DeployedIndex.
	//
	// If set, we will deploy the index within the provided ip ranges. Otherwise,
	// the index might be deployed to any ip ranges under the provided VPC
	// network.
	//
	// The value should be the name of the address
	// (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
	// Example: ['vertex-ai-ip-range'].
	//
	// For more information about subnets and network IP ranges, please see
	// https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
	ReservedIpRanges []string `protobuf:"bytes,10,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"`
	// Optional. The deployment group can be no longer than 64 characters (eg:
	// 'test', 'prod'). If not set, we will use the 'default' deployment group.
	//
	// Creating `deployment_groups` with `reserved_ip_ranges` is a recommended
	// practice when the peered network has multiple peering ranges. This creates
	// your deployments from predictable IP spaces for easier traffic
	// administration. Also, one deployment_group (except 'default') can only be
	// used with the same reserved_ip_ranges which means if the deployment_group
	// has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or
	// [d, e] is disallowed.
	//
	// Note: we only support up to 5 deployment groups(not including 'default').
	DeploymentGroup string `protobuf:"bytes,11,opt,name=deployment_group,json=deploymentGroup,proto3" json:"deployment_group,omitempty"`
	// Optional. If set for PSC deployed index, PSC connection will be
	// automatically created after deployment is done and the endpoint information
	// is populated in private_endpoints.psc_automated_endpoints.
	PscAutomationConfigs []*PSCAutomationConfig `protobuf:"bytes,19,rep,name=psc_automation_configs,json=pscAutomationConfigs,proto3" json:"psc_automation_configs,omitempty"`
	// contains filtered or unexported fields
}

A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.

func (*DeployedIndex) Descriptor 

func (*DeployedIndex) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndex.ProtoReflect.Descriptor instead.

func (*DeployedIndex) GetAutomaticResources 

func (x *DeployedIndex) GetAutomaticResources() *AutomaticResources

func (*DeployedIndex) GetCreateTime 

func (x *DeployedIndex) GetCreateTime() *timestamppb.Timestamp

func (*DeployedIndex) GetDedicatedResources 

func (x *DeployedIndex) GetDedicatedResources() *DedicatedResources

func (*DeployedIndex) GetDeployedIndexAuthConfig 

func (x *DeployedIndex) GetDeployedIndexAuthConfig() *DeployedIndexAuthConfig

func (*DeployedIndex) GetDeploymentGroup 

func (x *DeployedIndex) GetDeploymentGroup() string

func (*DeployedIndex) GetDisplayName 

func (x *DeployedIndex) GetDisplayName() string

func (*DeployedIndex) GetEnableAccessLogging 

func (x *DeployedIndex) GetEnableAccessLogging() bool

func (*DeployedIndex) GetId 

func (x *DeployedIndex) GetId() string

func (*DeployedIndex) GetIndex 

func (x *DeployedIndex) GetIndex() string

func (*DeployedIndex) GetIndexSyncTime 

func (x *DeployedIndex) GetIndexSyncTime() *timestamppb.Timestamp

func (*DeployedIndex) GetPrivateEndpoints 

func (x *DeployedIndex) GetPrivateEndpoints() *IndexPrivateEndpoints

func (*DeployedIndex) GetPscAutomationConfigs 

func (x *DeployedIndex) GetPscAutomationConfigs() []*PSCAutomationConfig

func (*DeployedIndex) GetReservedIpRanges 

func (x *DeployedIndex) GetReservedIpRanges() []string

func (*DeployedIndex) ProtoMessage 

func (*DeployedIndex) ProtoMessage()

func (*DeployedIndex) ProtoReflect 

func (x *DeployedIndex) ProtoReflect() protoreflect.Message

func (*DeployedIndex) Reset 

func (x *DeployedIndex) Reset()

func (*DeployedIndex) String 

func (x *DeployedIndex) String() string

type DeployedIndexAuthConfig 

type DeployedIndexAuthConfig struct {

	// Defines the authentication provider that the DeployedIndex uses.
	AuthProvider *DeployedIndexAuthConfig_AuthProvider `protobuf:"bytes,1,opt,name=auth_provider,json=authProvider,proto3" json:"auth_provider,omitempty"`
	// contains filtered or unexported fields
}

Used to set up the auth on the DeployedIndex's private endpoint.

func (*DeployedIndexAuthConfig) Descriptor 

func (*DeployedIndexAuthConfig) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndexAuthConfig.ProtoReflect.Descriptor instead.

func (*DeployedIndexAuthConfig) GetAuthProvider 

func (x *DeployedIndexAuthConfig) GetAuthProvider() *DeployedIndexAuthConfig_AuthProvider

func (*DeployedIndexAuthConfig) ProtoMessage 

func (*DeployedIndexAuthConfig) ProtoMessage()

func (*DeployedIndexAuthConfig) ProtoReflect 

func (x *DeployedIndexAuthConfig) ProtoReflect() protoreflect.Message

func (*DeployedIndexAuthConfig) Reset 

func (x *DeployedIndexAuthConfig) Reset()

func (*DeployedIndexAuthConfig) String 

func (x *DeployedIndexAuthConfig) String() string

type DeployedIndexAuthConfig_AuthProvider 

type DeployedIndexAuthConfig_AuthProvider struct {

	// The list of JWT
	// [audiences](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32#section-4.1.3).
	// that are allowed to access. A JWT containing any of these audiences will
	// be accepted.
	Audiences []string `protobuf:"bytes,1,rep,name=audiences,proto3" json:"audiences,omitempty"`
	// A list of allowed JWT issuers. Each entry must be a valid Google
	// service account, in the following format:
	//
	// `service-account-name@project-id.iam.gserviceaccount.com`
	AllowedIssuers []string `protobuf:"bytes,2,rep,name=allowed_issuers,json=allowedIssuers,proto3" json:"allowed_issuers,omitempty"`
	// contains filtered or unexported fields
}

Configuration for an authentication provider, including support for [JSON Web Token (JWT)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).

func (*DeployedIndexAuthConfig_AuthProvider) Descriptor 

func (*DeployedIndexAuthConfig_AuthProvider) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndexAuthConfig_AuthProvider.ProtoReflect.Descriptor instead.

func (*DeployedIndexAuthConfig_AuthProvider) GetAllowedIssuers 

func (x *DeployedIndexAuthConfig_AuthProvider) GetAllowedIssuers() []string

func (*DeployedIndexAuthConfig_AuthProvider) GetAudiences 

func (x *DeployedIndexAuthConfig_AuthProvider) GetAudiences() []string

func (*DeployedIndexAuthConfig_AuthProvider) ProtoMessage 

func (*DeployedIndexAuthConfig_AuthProvider) ProtoMessage()

func (*DeployedIndexAuthConfig_AuthProvider) ProtoReflect 

func (x *DeployedIndexAuthConfig_AuthProvider) ProtoReflect() protoreflect.Message

func (*DeployedIndexAuthConfig_AuthProvider) Reset 

func (x *DeployedIndexAuthConfig_AuthProvider) Reset()

func (*DeployedIndexAuthConfig_AuthProvider) String 

func (x *DeployedIndexAuthConfig_AuthProvider) String() string

type DeployedIndexRef 

type DeployedIndexRef struct {

	// Immutable. A resource name of the IndexEndpoint.
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Immutable. The ID of the DeployedIndex in the above IndexEndpoint.
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// Output only. The display name of the DeployedIndex.
	DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// contains filtered or unexported fields
}

Points to a DeployedIndex.

func (*DeployedIndexRef) Descriptor 

func (*DeployedIndexRef) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndexRef.ProtoReflect.Descriptor instead.

func (*DeployedIndexRef) GetDeployedIndexId 

func (x *DeployedIndexRef) GetDeployedIndexId() string

func (*DeployedIndexRef) GetDisplayName 

func (x *DeployedIndexRef) GetDisplayName() string

func (*DeployedIndexRef) GetIndexEndpoint 

func (x *DeployedIndexRef) GetIndexEndpoint() string

func (*DeployedIndexRef) ProtoMessage 

func (*DeployedIndexRef) ProtoMessage()

func (*DeployedIndexRef) ProtoReflect 

func (x *DeployedIndexRef) ProtoReflect() protoreflect.Message

func (*DeployedIndexRef) Reset 

func (x *DeployedIndexRef) Reset()

func (*DeployedIndexRef) String 

func (x *DeployedIndexRef) String() string

type DeployedModel 

type DeployedModel struct {

	// The prediction (for example, the machine) resources that the DeployedModel
	// uses. The user is billed for the resources (at least their minimal amount)
	// even if the DeployedModel receives no traffic.
	// Not all Models support all resources types. See
	// [Model.supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types].
	// Required except for Large Model Deploy use cases.
	//
	// Types that are assignable to PredictionResources:
	//
	//	*DeployedModel_DedicatedResources
	//	*DeployedModel_AutomaticResources
	//	*DeployedModel_SharedResources
	PredictionResources isDeployedModel_PredictionResources `protobuf_oneof:"prediction_resources"`
	// Immutable. The ID of the DeployedModel. If not provided upon deployment,
	// Vertex AI will generate a value for this ID.
	//
	// This value should be 1-10 characters, and valid characters are `/[0-9]/`.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Required. The resource name of the Model that this is the deployment of.
	// Note that the Model may be in a different location than the DeployedModel's
	// Endpoint.
	//
	// The resource name may contain version id or version alias to specify the
	// version.
	//
	//	Example: `projects/{project}/locations/{location}/models/{model}@2`
	//	            or
	//	          `projects/{project}/locations/{location}/models/{model}@golden`
	//
	// if no version is specified, the default version will be deployed.
	Model string `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. The version ID of the model that is deployed.
	ModelVersionId string `protobuf:"bytes,18,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
	// The display name of the DeployedModel. If not provided upon creation,
	// the Model's display_name is used.
	DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Timestamp when the DeployedModel was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Explanation configuration for this DeployedModel.
	//
	// When deploying a Model using
	// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
	// this value overrides the value of
	// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
	// All fields of
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// are optional in the request. If a field of
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// is not populated, the value of the same field of
	// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
	// is inherited. If the corresponding
	// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
	// is not populated, all fields of the
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// will be used for the explanation configuration.
	ExplanationSpec *ExplanationSpec `protobuf:"bytes,9,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
	// If true, deploy the model without explainable feature, regardless the
	// existence of
	// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
	// or
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec].
	DisableExplanations bool `protobuf:"varint,19,opt,name=disable_explanations,json=disableExplanations,proto3" json:"disable_explanations,omitempty"`
	// The service account that the DeployedModel's container runs as. Specify the
	// email address of the service account. If this service account is not
	// specified, the container runs as a service account that doesn't have access
	// to the resource project.
	//
	// Users deploying the Model must have the `iam.serviceAccounts.actAs`
	// permission on this service account.
	ServiceAccount string `protobuf:"bytes,11,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// For custom-trained Models and AutoML Tabular Models, the container of the
	// DeployedModel instances will send `stderr` and `stdout` streams to
	// Cloud Logging by default. Please note that the logs incur cost,
	// which are subject to [Cloud Logging
	// pricing](https://cloud.google.com/logging/pricing).
	//
	// User can disable container logging by setting this flag to true.
	DisableContainerLogging bool `protobuf:"varint,15,opt,name=disable_container_logging,json=disableContainerLogging,proto3" json:"disable_container_logging,omitempty"`
	// If true, online prediction access logs are sent to Cloud
	// Logging.
	// These logs are like standard server access logs, containing
	// information like timestamp and latency for each prediction request.
	//
	// Note that logs may incur a cost, especially if your project
	// receives prediction requests at a high queries per second rate (QPS).
	// Estimate your costs before enabling this option.
	EnableAccessLogging bool `protobuf:"varint,13,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"`
	// Output only. Provide paths for users to send predict/explain/health
	// requests directly to the deployed model services running on Cloud via
	// private services access. This field is populated if
	// [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
	PrivateEndpoints *PrivateEndpoints `protobuf:"bytes,14,opt,name=private_endpoints,json=privateEndpoints,proto3" json:"private_endpoints,omitempty"`
	// Configuration for faster model deployment.
	FasterDeploymentConfig *FasterDeploymentConfig `protobuf:"bytes,23,opt,name=faster_deployment_config,json=fasterDeploymentConfig,proto3" json:"faster_deployment_config,omitempty"`
	// Output only. Runtime status of the deployed model.
	Status *DeployedModel_Status `protobuf:"bytes,26,opt,name=status,proto3" json:"status,omitempty"`
	// System labels to apply to Model Garden deployments.
	// System labels are managed by Google for internal use only.
	SystemLabels map[string]string `protobuf:"bytes,28,rep,name=system_labels,json=systemLabels,proto3" json:"system_labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Optional. Spec for configuring speculative decoding.
	SpeculativeDecodingSpec *SpeculativeDecodingSpec `protobuf:"bytes,30,opt,name=speculative_decoding_spec,json=speculativeDecodingSpec,proto3" json:"speculative_decoding_spec,omitempty"`
	// contains filtered or unexported fields
}

A deployment of a Model. Endpoints contain one or more DeployedModels.

func (*DeployedModel) Descriptor 

func (*DeployedModel) Descriptor() ([]byte, []int)

Deprecated: Use DeployedModel.ProtoReflect.Descriptor instead.

func (*DeployedModel) GetAutomaticResources 

func (x *DeployedModel) GetAutomaticResources() *AutomaticResources

func (*DeployedModel) GetCreateTime 

func (x *DeployedModel) GetCreateTime() *timestamppb.Timestamp

func (*DeployedModel) GetDedicatedResources 

func (x *DeployedModel) GetDedicatedResources() *DedicatedResources

func (*DeployedModel) GetDisableContainerLogging 

func (x *DeployedModel) GetDisableContainerLogging() bool

func (*DeployedModel) GetDisableExplanations 

func (x *DeployedModel) GetDisableExplanations() bool

func (*DeployedModel) GetDisplayName 

func (x *DeployedModel) GetDisplayName() string

func (*DeployedModel) GetEnableAccessLogging 

func (x *DeployedModel) GetEnableAccessLogging() bool

func (*DeployedModel) GetExplanationSpec 

func (x *DeployedModel) GetExplanationSpec() *ExplanationSpec

func (*DeployedModel) GetFasterDeploymentConfig 

func (x *DeployedModel) GetFasterDeploymentConfig() *FasterDeploymentConfig

func (*DeployedModel) GetId 

func (x *DeployedModel) GetId() string

func (*DeployedModel) GetModel 

func (x *DeployedModel) GetModel() string

func (*DeployedModel) GetModelVersionId 

func (x *DeployedModel) GetModelVersionId() string

func (*DeployedModel) GetPredictionResources 

func (m *DeployedModel) GetPredictionResources() isDeployedModel_PredictionResources

func (*DeployedModel) GetPrivateEndpoints 

func (x *DeployedModel) GetPrivateEndpoints() *PrivateEndpoints

func (*DeployedModel) GetServiceAccount 

func (x *DeployedModel) GetServiceAccount() string

func (*DeployedModel) GetSharedResources 

func (x *DeployedModel) GetSharedResources() string

func (*DeployedModel) GetSpeculativeDecodingSpec 

func (x *DeployedModel) GetSpeculativeDecodingSpec() *SpeculativeDecodingSpec

func (*DeployedModel) GetStatus 

func (x *DeployedModel) GetStatus() *DeployedModel_Status

func (*DeployedModel) GetSystemLabels 

func (x *DeployedModel) GetSystemLabels() map[string]string

func (*DeployedModel) ProtoMessage 

func (*DeployedModel) ProtoMessage()

func (*DeployedModel) ProtoReflect 

func (x *DeployedModel) ProtoReflect() protoreflect.Message

func (*DeployedModel) Reset 

func (x *DeployedModel) Reset()

func (*DeployedModel) String 

func (x *DeployedModel) String() string

type DeployedModelRef 

type DeployedModelRef struct {

	// Immutable. A resource name of an Endpoint.
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Immutable. An ID of a DeployedModel in the above Endpoint.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// contains filtered or unexported fields
}

Points to a DeployedModel.

func (*DeployedModelRef) Descriptor 

func (*DeployedModelRef) Descriptor() ([]byte, []int)

Deprecated: Use DeployedModelRef.ProtoReflect.Descriptor instead.

func (*DeployedModelRef) GetDeployedModelId 

func (x *DeployedModelRef) GetDeployedModelId() string

func (*DeployedModelRef) GetEndpoint 

func (x *DeployedModelRef) GetEndpoint() string

func (*DeployedModelRef) ProtoMessage 

func (*DeployedModelRef) ProtoMessage()

func (*DeployedModelRef) ProtoReflect 

func (x *DeployedModelRef) ProtoReflect() protoreflect.Message

func (*DeployedModelRef) Reset 

func (x *DeployedModelRef) Reset()

func (*DeployedModelRef) String 

func (x *DeployedModelRef) String() string

type DeployedModel_AutomaticResources 

type DeployedModel_AutomaticResources struct {
	// A description of resources that to large degree are decided by Vertex
	// AI, and require only a modest additional configuration.
	AutomaticResources *AutomaticResources `protobuf:"bytes,8,opt,name=automatic_resources,json=automaticResources,proto3,oneof"`
}

type DeployedModel_DedicatedResources 

type DeployedModel_DedicatedResources struct {
	// A description of resources that are dedicated to the DeployedModel, and
	// that need a higher degree of manual configuration.
	DedicatedResources *DedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3,oneof"`
}

type DeployedModel_SharedResources 

type DeployedModel_SharedResources struct {
	// The resource name of the shared DeploymentResourcePool to deploy on.
	// Format:
	// `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
	SharedResources string `protobuf:"bytes,17,opt,name=shared_resources,json=sharedResources,proto3,oneof"`
}

type DeployedModel_Status 

type DeployedModel_Status struct {

	// Output only. The latest deployed model's status message (if any).
	Message string `protobuf:"bytes,1,opt,name=message,proto3" json:"message,omitempty"`
	// Output only. The time at which the status was last updated.
	LastUpdateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=last_update_time,json=lastUpdateTime,proto3" json:"last_update_time,omitempty"`
	// Output only. The number of available replicas of the deployed model.
	AvailableReplicaCount int32 `protobuf:"varint,3,opt,name=available_replica_count,json=availableReplicaCount,proto3" json:"available_replica_count,omitempty"`
	// contains filtered or unexported fields
}

Runtime status of the deployed model.

func (*DeployedModel_Status) Descriptor 

func (*DeployedModel_Status) Descriptor() ([]byte, []int)

Deprecated: Use DeployedModel_Status.ProtoReflect.Descriptor instead.

func (*DeployedModel_Status) GetAvailableReplicaCount 

func (x *DeployedModel_Status) GetAvailableReplicaCount() int32

func (*DeployedModel_Status) GetLastUpdateTime 

func (x *DeployedModel_Status) GetLastUpdateTime() *timestamppb.Timestamp

func (*DeployedModel_Status) GetMessage 

func (x *DeployedModel_Status) GetMessage() string

func (*DeployedModel_Status) ProtoMessage 

func (*DeployedModel_Status) ProtoMessage()

func (*DeployedModel_Status) ProtoReflect 

func (x *DeployedModel_Status) ProtoReflect() protoreflect.Message

func (*DeployedModel_Status) Reset 

func (x *DeployedModel_Status) Reset()

func (*DeployedModel_Status) String 

func (x *DeployedModel_Status) String() string

type DeploymentResourcePool 

type DeploymentResourcePool struct {

	// Immutable. The resource name of the DeploymentResourcePool.
	// Format:
	// `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The underlying DedicatedResources that the DeploymentResourcePool
	// uses.
	DedicatedResources *DedicatedResources `protobuf:"bytes,2,opt,name=dedicated_resources,json=dedicatedResources,proto3" json:"dedicated_resources,omitempty"`
	// Customer-managed encryption key spec for a DeploymentResourcePool. If set,
	// this DeploymentResourcePool will be secured by this key. Endpoints and the
	// DeploymentResourcePool they deploy in need to have the same EncryptionSpec.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,5,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// The service account that the DeploymentResourcePool's container(s) run as.
	// Specify the email address of the service account. If this service account
	// is not specified, the container(s) run as a service account that doesn't
	// have access to the resource project.
	//
	// Users deploying the Models to this DeploymentResourcePool must have the
	// `iam.serviceAccounts.actAs` permission on this service account.
	ServiceAccount string `protobuf:"bytes,6,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// If the DeploymentResourcePool is deployed with custom-trained Models or
	// AutoML Tabular Models, the container(s) of the DeploymentResourcePool will
	// send `stderr` and `stdout` streams to Cloud Logging by default.
	// Please note that the logs incur cost, which are subject to [Cloud Logging
	// pricing](https://cloud.google.com/logging/pricing).
	//
	// User can disable container logging by setting this flag to true.
	DisableContainerLogging bool `protobuf:"varint,7,opt,name=disable_container_logging,json=disableContainerLogging,proto3" json:"disable_container_logging,omitempty"`
	// Output only. Timestamp when this DeploymentResourcePool was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,8,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,9,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.

func (*DeploymentResourcePool) Descriptor 

func (*DeploymentResourcePool) Descriptor() ([]byte, []int)

Deprecated: Use DeploymentResourcePool.ProtoReflect.Descriptor instead.

func (*DeploymentResourcePool) GetCreateTime 

func (x *DeploymentResourcePool) GetCreateTime() *timestamppb.Timestamp

func (*DeploymentResourcePool) GetDedicatedResources 

func (x *DeploymentResourcePool) GetDedicatedResources() *DedicatedResources

func (*DeploymentResourcePool) GetDisableContainerLogging 

func (x *DeploymentResourcePool) GetDisableContainerLogging() bool

func (*DeploymentResourcePool) GetEncryptionSpec 

func (x *DeploymentResourcePool) GetEncryptionSpec() *EncryptionSpec

func (*DeploymentResourcePool) GetName 

func (x *DeploymentResourcePool) GetName() string

func (*DeploymentResourcePool) GetSatisfiesPzi 

func (x *DeploymentResourcePool) GetSatisfiesPzi() bool

func (*DeploymentResourcePool) GetSatisfiesPzs 

func (x *DeploymentResourcePool) GetSatisfiesPzs() bool

func (*DeploymentResourcePool) GetServiceAccount 

func (x *DeploymentResourcePool) GetServiceAccount() string

func (*DeploymentResourcePool) ProtoMessage 

func (*DeploymentResourcePool) ProtoMessage()

func (*DeploymentResourcePool) ProtoReflect 

func (x *DeploymentResourcePool) ProtoReflect() protoreflect.Message

func (*DeploymentResourcePool) Reset 

func (x *DeploymentResourcePool) Reset()

func (*DeploymentResourcePool) String 

func (x *DeploymentResourcePool) String() string

type DeploymentResourcePoolServiceClient 

type DeploymentResourcePoolServiceClient interface {
	// Create a DeploymentResourcePool.
	CreateDeploymentResourcePool(ctx context.Context, in *CreateDeploymentResourcePoolRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Get a DeploymentResourcePool.
	GetDeploymentResourcePool(ctx context.Context, in *GetDeploymentResourcePoolRequest, opts ...grpc.CallOption) (*DeploymentResourcePool, error)
	// List DeploymentResourcePools in a location.
	ListDeploymentResourcePools(ctx context.Context, in *ListDeploymentResourcePoolsRequest, opts ...grpc.CallOption) (*ListDeploymentResourcePoolsResponse, error)
	// Update a DeploymentResourcePool.
	UpdateDeploymentResourcePool(ctx context.Context, in *UpdateDeploymentResourcePoolRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Delete a DeploymentResourcePool.
	DeleteDeploymentResourcePool(ctx context.Context, in *DeleteDeploymentResourcePoolRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// List DeployedModels that have been deployed on this DeploymentResourcePool.
	QueryDeployedModels(ctx context.Context, in *QueryDeployedModelsRequest, opts ...grpc.CallOption) (*QueryDeployedModelsResponse, error)
}

DeploymentResourcePoolServiceClient is the client API for DeploymentResourcePoolService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewDeploymentResourcePoolServiceClient 

func NewDeploymentResourcePoolServiceClient(cc grpc.ClientConnInterface) DeploymentResourcePoolServiceClient

type DeploymentResourcePoolServiceServer 

type DeploymentResourcePoolServiceServer interface {
	// Create a DeploymentResourcePool.
	CreateDeploymentResourcePool(context.Context, *CreateDeploymentResourcePoolRequest) (*longrunningpb.Operation, error)
	// Get a DeploymentResourcePool.
	GetDeploymentResourcePool(context.Context, *GetDeploymentResourcePoolRequest) (*DeploymentResourcePool, error)
	// List DeploymentResourcePools in a location.
	ListDeploymentResourcePools(context.Context, *ListDeploymentResourcePoolsRequest) (*ListDeploymentResourcePoolsResponse, error)
	// Update a DeploymentResourcePool.
	UpdateDeploymentResourcePool(context.Context, *UpdateDeploymentResourcePoolRequest) (*longrunningpb.Operation, error)
	// Delete a DeploymentResourcePool.
	DeleteDeploymentResourcePool(context.Context, *DeleteDeploymentResourcePoolRequest) (*longrunningpb.Operation, error)
	// List DeployedModels that have been deployed on this DeploymentResourcePool.
	QueryDeployedModels(context.Context, *QueryDeployedModelsRequest) (*QueryDeployedModelsResponse, error)
}

DeploymentResourcePoolServiceServer is the server API for DeploymentResourcePoolService service.

type DestinationFeatureSetting 

type DestinationFeatureSetting struct {

	// Required. The ID of the Feature to apply the setting to.
	FeatureId string `protobuf:"bytes,1,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
	// Specify the field name in the export destination. If not specified,
	// Feature ID is used.
	DestinationField string `protobuf:"bytes,2,opt,name=destination_field,json=destinationField,proto3" json:"destination_field,omitempty"`
	// contains filtered or unexported fields
}

func (*DestinationFeatureSetting) Descriptor 

func (*DestinationFeatureSetting) Descriptor() ([]byte, []int)

Deprecated: Use DestinationFeatureSetting.ProtoReflect.Descriptor instead.

func (*DestinationFeatureSetting) GetDestinationField 

func (x *DestinationFeatureSetting) GetDestinationField() string

func (*DestinationFeatureSetting) GetFeatureId 

func (x *DestinationFeatureSetting) GetFeatureId() string

func (*DestinationFeatureSetting) ProtoMessage 

func (*DestinationFeatureSetting) ProtoMessage()

func (*DestinationFeatureSetting) ProtoReflect 

func (x *DestinationFeatureSetting) ProtoReflect() protoreflect.Message

func (*DestinationFeatureSetting) Reset 

func (x *DestinationFeatureSetting) Reset()

func (*DestinationFeatureSetting) String 

func (x *DestinationFeatureSetting) String() string

type DirectPredictRequest 

type DirectPredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// The prediction input.
	Inputs []*Tensor `protobuf:"bytes,2,rep,name=inputs,proto3" json:"inputs,omitempty"`
	// The parameters that govern the prediction.
	Parameters *Tensor `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].

func (*DirectPredictRequest) Descriptor 

func (*DirectPredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use DirectPredictRequest.ProtoReflect.Descriptor instead.

func (*DirectPredictRequest) GetEndpoint 

func (x *DirectPredictRequest) GetEndpoint() string

func (*DirectPredictRequest) GetInputs 

func (x *DirectPredictRequest) GetInputs() []*Tensor

func (*DirectPredictRequest) GetParameters 

func (x *DirectPredictRequest) GetParameters() *Tensor

func (*DirectPredictRequest) ProtoMessage 

func (*DirectPredictRequest) ProtoMessage()

func (*DirectPredictRequest) ProtoReflect 

func (x *DirectPredictRequest) ProtoReflect() protoreflect.Message

func (*DirectPredictRequest) Reset 

func (x *DirectPredictRequest) Reset()

func (*DirectPredictRequest) String 

func (x *DirectPredictRequest) String() string

type DirectPredictResponse 

type DirectPredictResponse struct {

	// The prediction output.
	Outputs []*Tensor `protobuf:"bytes,1,rep,name=outputs,proto3" json:"outputs,omitempty"`
	// The parameters that govern the prediction.
	Parameters *Tensor `protobuf:"bytes,2,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].

func (*DirectPredictResponse) Descriptor 

func (*DirectPredictResponse) Descriptor() ([]byte, []int)

Deprecated: Use DirectPredictResponse.ProtoReflect.Descriptor instead.

func (*DirectPredictResponse) GetOutputs 

func (x *DirectPredictResponse) GetOutputs() []*Tensor

func (*DirectPredictResponse) GetParameters 

func (x *DirectPredictResponse) GetParameters() *Tensor

func (*DirectPredictResponse) ProtoMessage 

func (*DirectPredictResponse) ProtoMessage()

func (*DirectPredictResponse) ProtoReflect 

func (x *DirectPredictResponse) ProtoReflect() protoreflect.Message

func (*DirectPredictResponse) Reset 

func (x *DirectPredictResponse) Reset()

func (*DirectPredictResponse) String 

func (x *DirectPredictResponse) String() string

type DirectRawPredictRequest 

type DirectRawPredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Fully qualified name of the API method being invoked to perform
	// predictions.
	//
	// Format:
	// `/namespace.Service/Method/`
	// Example:
	// `/tensorflow.serving.PredictionService/Predict`
	MethodName string `protobuf:"bytes,2,opt,name=method_name,json=methodName,proto3" json:"method_name,omitempty"`
	// The prediction input.
	Input []byte `protobuf:"bytes,3,opt,name=input,proto3" json:"input,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].

func (*DirectRawPredictRequest) Descriptor 

func (*DirectRawPredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use DirectRawPredictRequest.ProtoReflect.Descriptor instead.

func (*DirectRawPredictRequest) GetEndpoint 

func (x *DirectRawPredictRequest) GetEndpoint() string

func (*DirectRawPredictRequest) GetInput 

func (x *DirectRawPredictRequest) GetInput() []byte

func (*DirectRawPredictRequest) GetMethodName 

func (x *DirectRawPredictRequest) GetMethodName() string

func (*DirectRawPredictRequest) ProtoMessage 

func (*DirectRawPredictRequest) ProtoMessage()

func (*DirectRawPredictRequest) ProtoReflect 

func (x *DirectRawPredictRequest) ProtoReflect() protoreflect.Message

func (*DirectRawPredictRequest) Reset 

func (x *DirectRawPredictRequest) Reset()

func (*DirectRawPredictRequest) String 

func (x *DirectRawPredictRequest) String() string

type DirectRawPredictResponse 

type DirectRawPredictResponse struct {

	// The prediction output.
	Output []byte `protobuf:"bytes,1,opt,name=output,proto3" json:"output,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].

func (*DirectRawPredictResponse) Descriptor 

func (*DirectRawPredictResponse) Descriptor() ([]byte, []int)

Deprecated: Use DirectRawPredictResponse.ProtoReflect.Descriptor instead.

func (*DirectRawPredictResponse) GetOutput 

func (x *DirectRawPredictResponse) GetOutput() []byte

func (*DirectRawPredictResponse) ProtoMessage 

func (*DirectRawPredictResponse) ProtoMessage()

func (*DirectRawPredictResponse) ProtoReflect 

func (x *DirectRawPredictResponse) ProtoReflect() protoreflect.Message

func (*DirectRawPredictResponse) Reset 

func (x *DirectRawPredictResponse) Reset()

func (*DirectRawPredictResponse) String 

func (x *DirectRawPredictResponse) String() string

type DirectUploadSource 

type DirectUploadSource struct {
	// contains filtered or unexported fields
}

The input content is encapsulated and uploaded in the request.

func (*DirectUploadSource) Descriptor 

func (*DirectUploadSource) Descriptor() ([]byte, []int)

Deprecated: Use DirectUploadSource.ProtoReflect.Descriptor instead.

func (*DirectUploadSource) ProtoMessage 

func (*DirectUploadSource) ProtoMessage()

func (*DirectUploadSource) ProtoReflect 

func (x *DirectUploadSource) ProtoReflect() protoreflect.Message

func (*DirectUploadSource) Reset 

func (x *DirectUploadSource) Reset()

func (*DirectUploadSource) String 

func (x *DirectUploadSource) String() string

type DiskSpec 

type DiskSpec struct {

	// Type of the boot disk (default is "pd-ssd").
	// Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
	// "pd-standard" (Persistent Disk Hard Disk Drive).
	BootDiskType string `protobuf:"bytes,1,opt,name=boot_disk_type,json=bootDiskType,proto3" json:"boot_disk_type,omitempty"`
	// Size in GB of the boot disk (default is 100GB).
	BootDiskSizeGb int32 `protobuf:"varint,2,opt,name=boot_disk_size_gb,json=bootDiskSizeGb,proto3" json:"boot_disk_size_gb,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of disk options.

func (*DiskSpec) Descriptor 

func (*DiskSpec) Descriptor() ([]byte, []int)

Deprecated: Use DiskSpec.ProtoReflect.Descriptor instead.

func (*DiskSpec) GetBootDiskSizeGb 

func (x *DiskSpec) GetBootDiskSizeGb() int32

func (*DiskSpec) GetBootDiskType 

func (x *DiskSpec) GetBootDiskType() string

func (*DiskSpec) ProtoMessage 

func (*DiskSpec) ProtoMessage()

func (*DiskSpec) ProtoReflect 

func (x *DiskSpec) ProtoReflect() protoreflect.Message

func (*DiskSpec) Reset 

func (x *DiskSpec) Reset()

func (*DiskSpec) String 

func (x *DiskSpec) String() string

type DoubleArray 

type DoubleArray struct {

	// A list of double values.
	Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of double values.

func (*DoubleArray) Descriptor 

func (*DoubleArray) Descriptor() ([]byte, []int)

Deprecated: Use DoubleArray.ProtoReflect.Descriptor instead.

func (*DoubleArray) GetValues 

func (x *DoubleArray) GetValues() []float64

func (*DoubleArray) ProtoMessage 

func (*DoubleArray) ProtoMessage()

func (*DoubleArray) ProtoReflect 

func (x *DoubleArray) ProtoReflect() protoreflect.Message

func (*DoubleArray) Reset 

func (x *DoubleArray) Reset()

func (*DoubleArray) String 

func (x *DoubleArray) String() string

type DynamicRetrievalConfig 

type DynamicRetrievalConfig struct {

	// The mode of the predictor to be used in dynamic retrieval.
	Mode DynamicRetrievalConfig_Mode `protobuf:"varint,1,opt,name=mode,proto3,enum=google.cloud.aiplatform.v1.DynamicRetrievalConfig_Mode" json:"mode,omitempty"`
	// Optional. The threshold to be used in dynamic retrieval.
	// If not set, a system default value is used.
	DynamicThreshold *float32 `protobuf:"fixed32,2,opt,name=dynamic_threshold,json=dynamicThreshold,proto3,oneof" json:"dynamic_threshold,omitempty"`
	// contains filtered or unexported fields
}

Describes the options to customize dynamic retrieval.

func (*DynamicRetrievalConfig) Descriptor 

func (*DynamicRetrievalConfig) Descriptor() ([]byte, []int)

Deprecated: Use DynamicRetrievalConfig.ProtoReflect.Descriptor instead.

func (*DynamicRetrievalConfig) GetDynamicThreshold 

func (x *DynamicRetrievalConfig) GetDynamicThreshold() float32

func (*DynamicRetrievalConfig) GetMode 

func (x *DynamicRetrievalConfig) GetMode() DynamicRetrievalConfig_Mode

func (*DynamicRetrievalConfig) ProtoMessage 

func (*DynamicRetrievalConfig) ProtoMessage()

func (*DynamicRetrievalConfig) ProtoReflect 

func (x *DynamicRetrievalConfig) ProtoReflect() protoreflect.Message

func (*DynamicRetrievalConfig) Reset 

func (x *DynamicRetrievalConfig) Reset()

func (*DynamicRetrievalConfig) String 

func (x *DynamicRetrievalConfig) String() string

type DynamicRetrievalConfig_Mode 

type DynamicRetrievalConfig_Mode int32

The mode of the predictor to be used in dynamic retrieval. 

const (
	// Always trigger retrieval.
	DynamicRetrievalConfig_MODE_UNSPECIFIED DynamicRetrievalConfig_Mode = 0
	// Run retrieval only when system decides it is necessary.
	DynamicRetrievalConfig_MODE_DYNAMIC DynamicRetrievalConfig_Mode = 1
)

func (DynamicRetrievalConfig_Mode) Descriptor 

func (DynamicRetrievalConfig_Mode) Descriptor() protoreflect.EnumDescriptor

func (DynamicRetrievalConfig_Mode) Enum 

func (x DynamicRetrievalConfig_Mode) Enum() *DynamicRetrievalConfig_Mode

func (DynamicRetrievalConfig_Mode) EnumDescriptor 

func (DynamicRetrievalConfig_Mode) EnumDescriptor() ([]byte, []int)

Deprecated: Use DynamicRetrievalConfig_Mode.Descriptor instead.

func (DynamicRetrievalConfig_Mode) Number 

func (x DynamicRetrievalConfig_Mode) Number() protoreflect.EnumNumber

func (DynamicRetrievalConfig_Mode) String 

func (x DynamicRetrievalConfig_Mode) String() string

func (DynamicRetrievalConfig_Mode) Type 

func (DynamicRetrievalConfig_Mode) Type() protoreflect.EnumType

type EncryptionSpec 

type EncryptionSpec struct {

	// Required. The Cloud KMS resource identifier of the customer managed
	// encryption key used to protect a resource. Has the form:
	// `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
	// The key needs to be in the same region as where the compute resource is
	// created.
	KmsKeyName string `protobuf:"bytes,1,opt,name=kms_key_name,json=kmsKeyName,proto3" json:"kms_key_name,omitempty"`
	// contains filtered or unexported fields
}

Represents a customer-managed encryption key spec that can be applied to a top-level resource.

func (*EncryptionSpec) Descriptor 

func (*EncryptionSpec) Descriptor() ([]byte, []int)

Deprecated: Use EncryptionSpec.ProtoReflect.Descriptor instead.

func (*EncryptionSpec) GetKmsKeyName 

func (x *EncryptionSpec) GetKmsKeyName() string

func (*EncryptionSpec) ProtoMessage 

func (*EncryptionSpec) ProtoMessage()

func (*EncryptionSpec) ProtoReflect 

func (x *EncryptionSpec) ProtoReflect() protoreflect.Message

func (*EncryptionSpec) Reset 

func (x *EncryptionSpec) Reset()

func (*EncryptionSpec) String 

func (x *EncryptionSpec) String() string

type Endpoint 

type Endpoint struct {

	// Output only. The resource name of the Endpoint.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the Endpoint.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the Endpoint.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. The models deployed in this Endpoint.
	// To add or remove DeployedModels use
	// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
	// and
	// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
	// respectively.
	DeployedModels []*DeployedModel `protobuf:"bytes,4,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`
	// A map from a DeployedModel's ID to the percentage of this Endpoint's
	// traffic that should be forwarded to that DeployedModel.
	//
	// If a DeployedModel's ID is not listed in this map, then it receives no
	// traffic.
	//
	// The traffic percentage values must add up to 100, or map must be empty if
	// the Endpoint is to not accept any traffic at a moment.
	TrafficSplit map[string]int32 `protobuf:"bytes,5,rep,name=traffic_split,json=trafficSplit,proto3" json:"traffic_split,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"varint,2,opt,name=value,proto3"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Endpoints.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,7,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Timestamp when this Endpoint was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Endpoint was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Customer-managed encryption key spec for an Endpoint. If set, this
	// Endpoint and all sub-resources of this Endpoint will be secured by
	// this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,10,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Optional. The full name of the Google Compute Engine
	// [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks)
	// to which the Endpoint should be peered.
	//
	// Private services access must already be configured for the network. If left
	// unspecified, the Endpoint is not peered with any network.
	//
	// Only one of the fields,
	// [network][google.cloud.aiplatform.v1.Endpoint.network] or
	// [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
	// can be set.
	//
	// [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
	// `projects/{project}/global/networks/{network}`.
	// Where `{project}` is a project number, as in `12345`, and `{network}` is
	// network name.
	Network string `protobuf:"bytes,13,opt,name=network,proto3" json:"network,omitempty"`
	// Deprecated: If true, expose the Endpoint via private service connect.
	//
	// Only one of the fields,
	// [network][google.cloud.aiplatform.v1.Endpoint.network] or
	// [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
	// can be set.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/endpoint.proto.
	EnablePrivateServiceConnect bool `protobuf:"varint,17,opt,name=enable_private_service_connect,json=enablePrivateServiceConnect,proto3" json:"enable_private_service_connect,omitempty"`
	// Optional. Configuration for private service connect.
	//
	// [network][google.cloud.aiplatform.v1.Endpoint.network] and
	// [private_service_connect_config][google.cloud.aiplatform.v1.Endpoint.private_service_connect_config]
	// are mutually exclusive.
	PrivateServiceConnectConfig *PrivateServiceConnectConfig `protobuf:"bytes,21,opt,name=private_service_connect_config,json=privateServiceConnectConfig,proto3" json:"private_service_connect_config,omitempty"`
	// Output only. Resource name of the Model Monitoring job associated with this
	// Endpoint if monitoring is enabled by
	// [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	ModelDeploymentMonitoringJob string `protobuf:"bytes,14,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"`
	// Configures the request-response logging for online prediction.
	PredictRequestResponseLoggingConfig *PredictRequestResponseLoggingConfig `protobuf:"bytes,18,opt,name=predict_request_response_logging_config,json=predictRequestResponseLoggingConfig,proto3" json:"predict_request_response_logging_config,omitempty"`
	// If true, the endpoint will be exposed through a dedicated
	// DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS
	// will be isolated from other users' traffic and will have better performance
	// and reliability.
	// Note: Once you enabled dedicated endpoint, you won't be able to send
	// request to the shared DNS {region}-aiplatform.googleapis.com. The
	// limitation will be removed soon.
	DedicatedEndpointEnabled bool `protobuf:"varint,24,opt,name=dedicated_endpoint_enabled,json=dedicatedEndpointEnabled,proto3" json:"dedicated_endpoint_enabled,omitempty"`
	// Output only. DNS of the dedicated endpoint. Will only be populated if
	// dedicated_endpoint_enabled is true.
	// Format:
	// `https://{endpoint_id}.{region}-{project_number}.prediction.vertexai.goog`.
	DedicatedEndpointDns string `protobuf:"bytes,25,opt,name=dedicated_endpoint_dns,json=dedicatedEndpointDns,proto3" json:"dedicated_endpoint_dns,omitempty"`
	// Configurations that are applied to the endpoint for online prediction.
	ClientConnectionConfig *ClientConnectionConfig `protobuf:"bytes,23,opt,name=client_connection_config,json=clientConnectionConfig,proto3" json:"client_connection_config,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,27,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,28,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

func (*Endpoint) Descriptor 

func (*Endpoint) Descriptor() ([]byte, []int)

Deprecated: Use Endpoint.ProtoReflect.Descriptor instead.

func (*Endpoint) GetClientConnectionConfig 

func (x *Endpoint) GetClientConnectionConfig() *ClientConnectionConfig

func (*Endpoint) GetCreateTime 

func (x *Endpoint) GetCreateTime() *timestamppb.Timestamp

func (*Endpoint) GetDedicatedEndpointDns 

func (x *Endpoint) GetDedicatedEndpointDns() string

func (*Endpoint) GetDedicatedEndpointEnabled 

func (x *Endpoint) GetDedicatedEndpointEnabled() bool

func (*Endpoint) GetDeployedModels 

func (x *Endpoint) GetDeployedModels() []*DeployedModel

func (*Endpoint) GetDescription 

func (x *Endpoint) GetDescription() string

func (*Endpoint) GetDisplayName 

func (x *Endpoint) GetDisplayName() string

func (*Endpoint) GetEnablePrivateServiceConnect 

func (x *Endpoint) GetEnablePrivateServiceConnect() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/endpoint.proto.

func (*Endpoint) GetEncryptionSpec 

func (x *Endpoint) GetEncryptionSpec() *EncryptionSpec

func (*Endpoint) GetEtag 

func (x *Endpoint) GetEtag() string

func (*Endpoint) GetLabels 

func (x *Endpoint) GetLabels() map[string]string

func (*Endpoint) GetModelDeploymentMonitoringJob 

func (x *Endpoint) GetModelDeploymentMonitoringJob() string

func (*Endpoint) GetName 

func (x *Endpoint) GetName() string

func (*Endpoint) GetNetwork 

func (x *Endpoint) GetNetwork() string

func (*Endpoint) GetPredictRequestResponseLoggingConfig 

func (x *Endpoint) GetPredictRequestResponseLoggingConfig() *PredictRequestResponseLoggingConfig

func (*Endpoint) GetPrivateServiceConnectConfig 

func (x *Endpoint) GetPrivateServiceConnectConfig() *PrivateServiceConnectConfig

func (*Endpoint) GetSatisfiesPzi 

func (x *Endpoint) GetSatisfiesPzi() bool

func (*Endpoint) GetSatisfiesPzs 

func (x *Endpoint) GetSatisfiesPzs() bool

func (*Endpoint) GetTrafficSplit 

func (x *Endpoint) GetTrafficSplit() map[string]int32

func (*Endpoint) GetUpdateTime 

func (x *Endpoint) GetUpdateTime() *timestamppb.Timestamp

func (*Endpoint) ProtoMessage 

func (*Endpoint) ProtoMessage()

func (*Endpoint) ProtoReflect 

func (x *Endpoint) ProtoReflect() protoreflect.Message

func (*Endpoint) Reset 

func (x *Endpoint) Reset()

func (*Endpoint) String 

func (x *Endpoint) String() string

type EndpointServiceClient 

type EndpointServiceClient interface {
	// Creates an Endpoint.
	CreateEndpoint(ctx context.Context, in *CreateEndpointRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets an Endpoint.
	GetEndpoint(ctx context.Context, in *GetEndpointRequest, opts ...grpc.CallOption) (*Endpoint, error)
	// Lists Endpoints in a Location.
	ListEndpoints(ctx context.Context, in *ListEndpointsRequest, opts ...grpc.CallOption) (*ListEndpointsResponse, error)
	// Updates an Endpoint.
	UpdateEndpoint(ctx context.Context, in *UpdateEndpointRequest, opts ...grpc.CallOption) (*Endpoint, error)
	// Updates an Endpoint with a long running operation.
	UpdateEndpointLongRunning(ctx context.Context, in *UpdateEndpointLongRunningRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes an Endpoint.
	DeleteEndpoint(ctx context.Context, in *DeleteEndpointRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deploys a Model into this Endpoint, creating a DeployedModel within it.
	DeployModel(ctx context.Context, in *DeployModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
	// freeing all resources it's using.
	UndeployModel(ctx context.Context, in *UndeployModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Updates an existing deployed model. Updatable fields include
	// `min_replica_count`, `max_replica_count`, `autoscaling_metric_specs`,
	// `disable_container_logging` (v1 only), and `enable_container_logging`
	// (v1beta1 only).
	MutateDeployedModel(ctx context.Context, in *MutateDeployedModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

EndpointServiceClient is the client API for EndpointService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewEndpointServiceClient 

func NewEndpointServiceClient(cc grpc.ClientConnInterface) EndpointServiceClient

type EndpointServiceServer 

type EndpointServiceServer interface {
	// Creates an Endpoint.
	CreateEndpoint(context.Context, *CreateEndpointRequest) (*longrunningpb.Operation, error)
	// Gets an Endpoint.
	GetEndpoint(context.Context, *GetEndpointRequest) (*Endpoint, error)
	// Lists Endpoints in a Location.
	ListEndpoints(context.Context, *ListEndpointsRequest) (*ListEndpointsResponse, error)
	// Updates an Endpoint.
	UpdateEndpoint(context.Context, *UpdateEndpointRequest) (*Endpoint, error)
	// Updates an Endpoint with a long running operation.
	UpdateEndpointLongRunning(context.Context, *UpdateEndpointLongRunningRequest) (*longrunningpb.Operation, error)
	// Deletes an Endpoint.
	DeleteEndpoint(context.Context, *DeleteEndpointRequest) (*longrunningpb.Operation, error)
	// Deploys a Model into this Endpoint, creating a DeployedModel within it.
	DeployModel(context.Context, *DeployModelRequest) (*longrunningpb.Operation, error)
	// Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
	// freeing all resources it's using.
	UndeployModel(context.Context, *UndeployModelRequest) (*longrunningpb.Operation, error)
	// Updates an existing deployed model. Updatable fields include
	// `min_replica_count`, `max_replica_count`, `autoscaling_metric_specs`,
	// `disable_container_logging` (v1 only), and `enable_container_logging`
	// (v1beta1 only).
	MutateDeployedModel(context.Context, *MutateDeployedModelRequest) (*longrunningpb.Operation, error)
}

EndpointServiceServer is the server API for EndpointService service.

type EntityIdSelector 

type EntityIdSelector struct {

	// Details about the source data, including the location of the storage and
	// the format.
	//
	// Types that are assignable to EntityIdsSource:
	//
	//	*EntityIdSelector_CsvSource
	EntityIdsSource isEntityIdSelector_EntityIdsSource `protobuf_oneof:"EntityIdsSource"`
	// Source column that holds entity IDs. If not provided, entity IDs are
	// extracted from the column named entity_id.
	EntityIdField string `protobuf:"bytes,5,opt,name=entity_id_field,json=entityIdField,proto3" json:"entity_id_field,omitempty"`
	// contains filtered or unexported fields
}

Selector for entityId. Getting ids from the given source.

func (*EntityIdSelector) Descriptor 

func (*EntityIdSelector) Descriptor() ([]byte, []int)

Deprecated: Use EntityIdSelector.ProtoReflect.Descriptor instead.

func (*EntityIdSelector) GetCsvSource 

func (x *EntityIdSelector) GetCsvSource() *CsvSource

func (*EntityIdSelector) GetEntityIdField 

func (x *EntityIdSelector) GetEntityIdField() string

func (*EntityIdSelector) GetEntityIdsSource 

func (m *EntityIdSelector) GetEntityIdsSource() isEntityIdSelector_EntityIdsSource

func (*EntityIdSelector) ProtoMessage 

func (*EntityIdSelector) ProtoMessage()

func (*EntityIdSelector) ProtoReflect 

func (x *EntityIdSelector) ProtoReflect() protoreflect.Message

func (*EntityIdSelector) Reset 

func (x *EntityIdSelector) Reset()

func (*EntityIdSelector) String 

func (x *EntityIdSelector) String() string

type EntityIdSelector_CsvSource 

type EntityIdSelector_CsvSource struct {
	// Source of Csv
	CsvSource *CsvSource `protobuf:"bytes,3,opt,name=csv_source,json=csvSource,proto3,oneof"`
}

type EntityType 

type EntityType struct {

	// Immutable. Name of the EntityType.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	//
	// The last part entity_type is assigned by the client. The entity_type can be
	// up to 64 characters long and can consist only of ASCII Latin letters A-Z
	// and a-z and underscore(_), and ASCII digits 0-9 starting with a letter. The
	// value will be unique given a featurestore.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. Description of the EntityType.
	Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Timestamp when this EntityType was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this EntityType was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. The labels with user-defined metadata to organize your
	// EntityTypes.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one EntityType (System
	// labels are excluded)."
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `protobuf:"bytes,6,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Optional. Used to perform a consistent read-modify-write updates. If not
	// set, a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The default monitoring configuration for all Features with value
	// type
	// ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
	// STRING, DOUBLE or INT64 under this EntityType.
	//
	// If this is populated with
	// [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
	// analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
	// disabled.
	MonitoringConfig *FeaturestoreMonitoringConfig `protobuf:"bytes,8,opt,name=monitoring_config,json=monitoringConfig,proto3" json:"monitoring_config,omitempty"`
	// Optional. Config for data retention policy in offline storage.
	// TTL in days for feature values that will be stored in offline storage.
	// The Feature Store offline storage periodically removes obsolete feature
	// values older than `offline_storage_ttl_days` since the feature generation
	// time. If unset (or explicitly set to 0), default to 4000 days TTL.
	OfflineStorageTtlDays int32 `protobuf:"varint,10,opt,name=offline_storage_ttl_days,json=offlineStorageTtlDays,proto3" json:"offline_storage_ttl_days,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,11,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,12,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.

func (*EntityType) Descriptor 

func (*EntityType) Descriptor() ([]byte, []int)

Deprecated: Use EntityType.ProtoReflect.Descriptor instead.

func (*EntityType) GetCreateTime 

func (x *EntityType) GetCreateTime() *timestamppb.Timestamp

func (*EntityType) GetDescription 

func (x *EntityType) GetDescription() string

func (*EntityType) GetEtag 

func (x *EntityType) GetEtag() string

func (*EntityType) GetLabels 

func (x *EntityType) GetLabels() map[string]string

func (*EntityType) GetMonitoringConfig 

func (x *EntityType) GetMonitoringConfig() *FeaturestoreMonitoringConfig

func (*EntityType) GetName 

func (x *EntityType) GetName() string

func (*EntityType) GetOfflineStorageTtlDays 

func (x *EntityType) GetOfflineStorageTtlDays() int32

func (*EntityType) GetSatisfiesPzi 

func (x *EntityType) GetSatisfiesPzi() bool

func (*EntityType) GetSatisfiesPzs 

func (x *EntityType) GetSatisfiesPzs() bool

func (*EntityType) GetUpdateTime 

func (x *EntityType) GetUpdateTime() *timestamppb.Timestamp

func (*EntityType) ProtoMessage 

func (*EntityType) ProtoMessage()

func (*EntityType) ProtoReflect 

func (x *EntityType) ProtoReflect() protoreflect.Message

func (*EntityType) Reset 

func (x *EntityType) Reset()

func (*EntityType) String 

func (x *EntityType) String() string

type EnvVar 

type EnvVar struct {

	// Required. Name of the environment variable. Must be a valid C identifier.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. Variables that reference a $(VAR_NAME) are expanded
	// using the previous defined environment variables in the container and
	// any service environment variables. If a variable cannot be resolved,
	// the reference in the input string will be unchanged. The $(VAR_NAME)
	// syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
	// references will never be expanded, regardless of whether the variable
	// exists or not.
	Value string `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

Represents an environment variable present in a Container or Python Module.

func (*EnvVar) Descriptor 

func (*EnvVar) Descriptor() ([]byte, []int)

Deprecated: Use EnvVar.ProtoReflect.Descriptor instead.

func (*EnvVar) GetName 

func (x *EnvVar) GetName() string

func (*EnvVar) GetValue 

func (x *EnvVar) GetValue() string

func (*EnvVar) ProtoMessage 

func (*EnvVar) ProtoMessage()

func (*EnvVar) ProtoReflect 

func (x *EnvVar) ProtoReflect() protoreflect.Message

func (*EnvVar) Reset 

func (x *EnvVar) Reset()

func (*EnvVar) String 

func (x *EnvVar) String() string

type ErrorAnalysisAnnotation 

type ErrorAnalysisAnnotation struct {

	// Attributed items for a given annotation, typically representing neighbors
	// from the training sets constrained by the query type.
	AttributedItems []*ErrorAnalysisAnnotation_AttributedItem `protobuf:"bytes,1,rep,name=attributed_items,json=attributedItems,proto3" json:"attributed_items,omitempty"`
	// The query type used for finding the attributed items.
	QueryType ErrorAnalysisAnnotation_QueryType `protobuf:"varint,2,opt,name=query_type,json=queryType,proto3,enum=google.cloud.aiplatform.v1.ErrorAnalysisAnnotation_QueryType" json:"query_type,omitempty"`
	// The outlier score of this annotated item. Usually defined as the min of all
	// distances from attributed items.
	OutlierScore float64 `protobuf:"fixed64,3,opt,name=outlier_score,json=outlierScore,proto3" json:"outlier_score,omitempty"`
	// The threshold used to determine if this annotation is an outlier or not.
	OutlierThreshold float64 `protobuf:"fixed64,4,opt,name=outlier_threshold,json=outlierThreshold,proto3" json:"outlier_threshold,omitempty"`
	// contains filtered or unexported fields
}

Model error analysis for each annotation.

func (*ErrorAnalysisAnnotation) Descriptor 

func (*ErrorAnalysisAnnotation) Descriptor() ([]byte, []int)

Deprecated: Use ErrorAnalysisAnnotation.ProtoReflect.Descriptor instead.

func (*ErrorAnalysisAnnotation) GetAttributedItems 

func (x *ErrorAnalysisAnnotation) GetAttributedItems() []*ErrorAnalysisAnnotation_AttributedItem

func (*ErrorAnalysisAnnotation) GetOutlierScore 

func (x *ErrorAnalysisAnnotation) GetOutlierScore() float64

func (*ErrorAnalysisAnnotation) GetOutlierThreshold 

func (x *ErrorAnalysisAnnotation) GetOutlierThreshold() float64

func (*ErrorAnalysisAnnotation) GetQueryType 

func (x *ErrorAnalysisAnnotation) GetQueryType() ErrorAnalysisAnnotation_QueryType

func (*ErrorAnalysisAnnotation) ProtoMessage 

func (*ErrorAnalysisAnnotation) ProtoMessage()

func (*ErrorAnalysisAnnotation) ProtoReflect 

func (x *ErrorAnalysisAnnotation) ProtoReflect() protoreflect.Message

func (*ErrorAnalysisAnnotation) Reset 

func (x *ErrorAnalysisAnnotation) Reset()

func (*ErrorAnalysisAnnotation) String 

func (x *ErrorAnalysisAnnotation) String() string

type ErrorAnalysisAnnotation_AttributedItem 

type ErrorAnalysisAnnotation_AttributedItem struct {

	// The unique ID for each annotation. Used by FE to allocate the annotation
	// in DB.
	AnnotationResourceName string `protobuf:"bytes,1,opt,name=annotation_resource_name,json=annotationResourceName,proto3" json:"annotation_resource_name,omitempty"`
	// The distance of this item to the annotation.
	Distance float64 `protobuf:"fixed64,2,opt,name=distance,proto3" json:"distance,omitempty"`
	// contains filtered or unexported fields
}

Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.

func (*ErrorAnalysisAnnotation_AttributedItem) Descriptor 

func (*ErrorAnalysisAnnotation_AttributedItem) Descriptor() ([]byte, []int)

Deprecated: Use ErrorAnalysisAnnotation_AttributedItem.ProtoReflect.Descriptor instead.

func (*ErrorAnalysisAnnotation_AttributedItem) GetAnnotationResourceName 

func (x *ErrorAnalysisAnnotation_AttributedItem) GetAnnotationResourceName() string

func (*ErrorAnalysisAnnotation_AttributedItem) GetDistance 

func (x *ErrorAnalysisAnnotation_AttributedItem) GetDistance() float64

func (*ErrorAnalysisAnnotation_AttributedItem) ProtoMessage 

func (*ErrorAnalysisAnnotation_AttributedItem) ProtoMessage()

func (*ErrorAnalysisAnnotation_AttributedItem) ProtoReflect 

func (x *ErrorAnalysisAnnotation_AttributedItem) ProtoReflect() protoreflect.Message

func (*ErrorAnalysisAnnotation_AttributedItem) Reset 

func (x *ErrorAnalysisAnnotation_AttributedItem) Reset()

func (*ErrorAnalysisAnnotation_AttributedItem) String 

func (x *ErrorAnalysisAnnotation_AttributedItem) String() string

type ErrorAnalysisAnnotation_QueryType 

type ErrorAnalysisAnnotation_QueryType int32

The query type used for finding the attributed items. 

const (
	// Unspecified query type for model error analysis.
	ErrorAnalysisAnnotation_QUERY_TYPE_UNSPECIFIED ErrorAnalysisAnnotation_QueryType = 0
	// Query similar samples across all classes in the dataset.
	ErrorAnalysisAnnotation_ALL_SIMILAR ErrorAnalysisAnnotation_QueryType = 1
	// Query similar samples from the same class of the input sample.
	ErrorAnalysisAnnotation_SAME_CLASS_SIMILAR ErrorAnalysisAnnotation_QueryType = 2
	// Query dissimilar samples from the same class of the input sample.
	ErrorAnalysisAnnotation_SAME_CLASS_DISSIMILAR ErrorAnalysisAnnotation_QueryType = 3
)

func (ErrorAnalysisAnnotation_QueryType) Descriptor 

func (ErrorAnalysisAnnotation_QueryType) Descriptor() protoreflect.EnumDescriptor

func (ErrorAnalysisAnnotation_QueryType) Enum 

func (x ErrorAnalysisAnnotation_QueryType) Enum() *ErrorAnalysisAnnotation_QueryType

func (ErrorAnalysisAnnotation_QueryType) EnumDescriptor 

func (ErrorAnalysisAnnotation_QueryType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ErrorAnalysisAnnotation_QueryType.Descriptor instead.

func (ErrorAnalysisAnnotation_QueryType) Number 

func (x ErrorAnalysisAnnotation_QueryType) Number() protoreflect.EnumNumber

func (ErrorAnalysisAnnotation_QueryType) String 

func (x ErrorAnalysisAnnotation_QueryType) String() string

func (ErrorAnalysisAnnotation_QueryType) Type 

func (ErrorAnalysisAnnotation_QueryType) Type() protoreflect.EnumType

type EvaluateInstancesRequest 

type EvaluateInstancesRequest struct {

	// Instances and specs for evaluation
	//
	// Types that are assignable to MetricInputs:
	//
	//	*EvaluateInstancesRequest_ExactMatchInput
	//	*EvaluateInstancesRequest_BleuInput
	//	*EvaluateInstancesRequest_RougeInput
	//	*EvaluateInstancesRequest_FluencyInput
	//	*EvaluateInstancesRequest_CoherenceInput
	//	*EvaluateInstancesRequest_SafetyInput
	//	*EvaluateInstancesRequest_GroundednessInput
	//	*EvaluateInstancesRequest_FulfillmentInput
	//	*EvaluateInstancesRequest_SummarizationQualityInput
	//	*EvaluateInstancesRequest_PairwiseSummarizationQualityInput
	//	*EvaluateInstancesRequest_SummarizationHelpfulnessInput
	//	*EvaluateInstancesRequest_SummarizationVerbosityInput
	//	*EvaluateInstancesRequest_QuestionAnsweringQualityInput
	//	*EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput
	//	*EvaluateInstancesRequest_QuestionAnsweringRelevanceInput
	//	*EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput
	//	*EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput
	//	*EvaluateInstancesRequest_PointwiseMetricInput
	//	*EvaluateInstancesRequest_PairwiseMetricInput
	//	*EvaluateInstancesRequest_ToolCallValidInput
	//	*EvaluateInstancesRequest_ToolNameMatchInput
	//	*EvaluateInstancesRequest_ToolParameterKeyMatchInput
	//	*EvaluateInstancesRequest_ToolParameterKvMatchInput
	//	*EvaluateInstancesRequest_CometInput
	//	*EvaluateInstancesRequest_MetricxInput
	MetricInputs isEvaluateInstancesRequest_MetricInputs `protobuf_oneof:"metric_inputs"`
	// Required. The resource name of the Location to evaluate the instances.
	// Format: `projects/{project}/locations/{location}`
	Location string `protobuf:"bytes,1,opt,name=location,proto3" json:"location,omitempty"`
	// contains filtered or unexported fields
}

Request message for EvaluationService.EvaluateInstances.

func (*EvaluateInstancesRequest) Descriptor 

func (*EvaluateInstancesRequest) Descriptor() ([]byte, []int)

Deprecated: Use EvaluateInstancesRequest.ProtoReflect.Descriptor instead.

func (*EvaluateInstancesRequest) GetBleuInput 

func (x *EvaluateInstancesRequest) GetBleuInput() *BleuInput

func (*EvaluateInstancesRequest) GetCoherenceInput 

func (x *EvaluateInstancesRequest) GetCoherenceInput() *CoherenceInput

func (*EvaluateInstancesRequest) GetCometInput 

func (x *EvaluateInstancesRequest) GetCometInput() *CometInput

func (*EvaluateInstancesRequest) GetExactMatchInput 

func (x *EvaluateInstancesRequest) GetExactMatchInput() *ExactMatchInput

func (*EvaluateInstancesRequest) GetFluencyInput 

func (x *EvaluateInstancesRequest) GetFluencyInput() *FluencyInput

func (*EvaluateInstancesRequest) GetFulfillmentInput 

func (x *EvaluateInstancesRequest) GetFulfillmentInput() *FulfillmentInput

func (*EvaluateInstancesRequest) GetGroundednessInput 

func (x *EvaluateInstancesRequest) GetGroundednessInput() *GroundednessInput

func (*EvaluateInstancesRequest) GetLocation 

func (x *EvaluateInstancesRequest) GetLocation() string

func (*EvaluateInstancesRequest) GetMetricInputs 

func (m *EvaluateInstancesRequest) GetMetricInputs() isEvaluateInstancesRequest_MetricInputs

func (*EvaluateInstancesRequest) GetMetricxInput 

func (x *EvaluateInstancesRequest) GetMetricxInput() *MetricxInput

func (*EvaluateInstancesRequest) GetPairwiseMetricInput 

func (x *EvaluateInstancesRequest) GetPairwiseMetricInput() *PairwiseMetricInput

func (*EvaluateInstancesRequest) GetPairwiseQuestionAnsweringQualityInput 

func (x *EvaluateInstancesRequest) GetPairwiseQuestionAnsweringQualityInput() *PairwiseQuestionAnsweringQualityInput

func (*EvaluateInstancesRequest) GetPairwiseSummarizationQualityInput 

func (x *EvaluateInstancesRequest) GetPairwiseSummarizationQualityInput() *PairwiseSummarizationQualityInput

func (*EvaluateInstancesRequest) GetPointwiseMetricInput 

func (x *EvaluateInstancesRequest) GetPointwiseMetricInput() *PointwiseMetricInput

func (*EvaluateInstancesRequest) GetQuestionAnsweringCorrectnessInput 

func (x *EvaluateInstancesRequest) GetQuestionAnsweringCorrectnessInput() *QuestionAnsweringCorrectnessInput

func (*EvaluateInstancesRequest) GetQuestionAnsweringHelpfulnessInput 

func (x *EvaluateInstancesRequest) GetQuestionAnsweringHelpfulnessInput() *QuestionAnsweringHelpfulnessInput

func (*EvaluateInstancesRequest) GetQuestionAnsweringQualityInput 

func (x *EvaluateInstancesRequest) GetQuestionAnsweringQualityInput() *QuestionAnsweringQualityInput

func (*EvaluateInstancesRequest) GetQuestionAnsweringRelevanceInput 

func (x *EvaluateInstancesRequest) GetQuestionAnsweringRelevanceInput() *QuestionAnsweringRelevanceInput

func (*EvaluateInstancesRequest) GetRougeInput 

func (x *EvaluateInstancesRequest) GetRougeInput() *RougeInput

func (*EvaluateInstancesRequest) GetSafetyInput 

func (x *EvaluateInstancesRequest) GetSafetyInput() *SafetyInput

func (*EvaluateInstancesRequest) GetSummarizationHelpfulnessInput 

func (x *EvaluateInstancesRequest) GetSummarizationHelpfulnessInput() *SummarizationHelpfulnessInput

func (*EvaluateInstancesRequest) GetSummarizationQualityInput 

func (x *EvaluateInstancesRequest) GetSummarizationQualityInput() *SummarizationQualityInput

func (*EvaluateInstancesRequest) GetSummarizationVerbosityInput 

func (x *EvaluateInstancesRequest) GetSummarizationVerbosityInput() *SummarizationVerbosityInput

func (*EvaluateInstancesRequest) GetToolCallValidInput 

func (x *EvaluateInstancesRequest) GetToolCallValidInput() *ToolCallValidInput

func (*EvaluateInstancesRequest) GetToolNameMatchInput 

func (x *EvaluateInstancesRequest) GetToolNameMatchInput() *ToolNameMatchInput

func (*EvaluateInstancesRequest) GetToolParameterKeyMatchInput 

func (x *EvaluateInstancesRequest) GetToolParameterKeyMatchInput() *ToolParameterKeyMatchInput

func (*EvaluateInstancesRequest) GetToolParameterKvMatchInput 

func (x *EvaluateInstancesRequest) GetToolParameterKvMatchInput() *ToolParameterKVMatchInput

func (*EvaluateInstancesRequest) ProtoMessage 

func (*EvaluateInstancesRequest) ProtoMessage()

func (*EvaluateInstancesRequest) ProtoReflect 

func (x *EvaluateInstancesRequest) ProtoReflect() protoreflect.Message

func (*EvaluateInstancesRequest) Reset 

func (x *EvaluateInstancesRequest) Reset()

func (*EvaluateInstancesRequest) String 

func (x *EvaluateInstancesRequest) String() string

type EvaluateInstancesRequest_BleuInput 

type EvaluateInstancesRequest_BleuInput struct {
	// Instances and metric spec for bleu metric.
	BleuInput *BleuInput `protobuf:"bytes,3,opt,name=bleu_input,json=bleuInput,proto3,oneof"`
}

type EvaluateInstancesRequest_CoherenceInput 

type EvaluateInstancesRequest_CoherenceInput struct {
	// Input for coherence metric.
	CoherenceInput *CoherenceInput `protobuf:"bytes,6,opt,name=coherence_input,json=coherenceInput,proto3,oneof"`
}

type EvaluateInstancesRequest_CometInput 

type EvaluateInstancesRequest_CometInput struct {
	// Translation metrics.
	// Input for Comet metric.
	CometInput *CometInput `protobuf:"bytes,31,opt,name=comet_input,json=cometInput,proto3,oneof"`
}

type EvaluateInstancesRequest_ExactMatchInput 

type EvaluateInstancesRequest_ExactMatchInput struct {
	// Auto metric instances.
	// Instances and metric spec for exact match metric.
	ExactMatchInput *ExactMatchInput `protobuf:"bytes,2,opt,name=exact_match_input,json=exactMatchInput,proto3,oneof"`
}

type EvaluateInstancesRequest_FluencyInput 

type EvaluateInstancesRequest_FluencyInput struct {
	// LLM-based metric instance.
	// General text generation metrics, applicable to other categories.
	// Input for fluency metric.
	FluencyInput *FluencyInput `protobuf:"bytes,5,opt,name=fluency_input,json=fluencyInput,proto3,oneof"`
}

type EvaluateInstancesRequest_FulfillmentInput 

type EvaluateInstancesRequest_FulfillmentInput struct {
	// Input for fulfillment metric.
	FulfillmentInput *FulfillmentInput `protobuf:"bytes,12,opt,name=fulfillment_input,json=fulfillmentInput,proto3,oneof"`
}

type EvaluateInstancesRequest_GroundednessInput 

type EvaluateInstancesRequest_GroundednessInput struct {
	// Input for groundedness metric.
	GroundednessInput *GroundednessInput `protobuf:"bytes,9,opt,name=groundedness_input,json=groundednessInput,proto3,oneof"`
}

type EvaluateInstancesRequest_MetricxInput 

type EvaluateInstancesRequest_MetricxInput struct {
	// Input for Metricx metric.
	MetricxInput *MetricxInput `protobuf:"bytes,32,opt,name=metricx_input,json=metricxInput,proto3,oneof"`
}

type EvaluateInstancesRequest_PairwiseMetricInput 

type EvaluateInstancesRequest_PairwiseMetricInput struct {
	// Input for pairwise metric.
	PairwiseMetricInput *PairwiseMetricInput `protobuf:"bytes,29,opt,name=pairwise_metric_input,json=pairwiseMetricInput,proto3,oneof"`
}

type EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput 

type EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput struct {
	// Input for pairwise question answering quality metric.
	PairwiseQuestionAnsweringQualityInput *PairwiseQuestionAnsweringQualityInput `protobuf:"bytes,24,opt,name=pairwise_question_answering_quality_input,json=pairwiseQuestionAnsweringQualityInput,proto3,oneof"`
}

type EvaluateInstancesRequest_PairwiseSummarizationQualityInput 

type EvaluateInstancesRequest_PairwiseSummarizationQualityInput struct {
	// Input for pairwise summarization quality metric.
	PairwiseSummarizationQualityInput *PairwiseSummarizationQualityInput `protobuf:"bytes,23,opt,name=pairwise_summarization_quality_input,json=pairwiseSummarizationQualityInput,proto3,oneof"`
}

type EvaluateInstancesRequest_PointwiseMetricInput 

type EvaluateInstancesRequest_PointwiseMetricInput struct {
	// Input for pointwise metric.
	PointwiseMetricInput *PointwiseMetricInput `protobuf:"bytes,28,opt,name=pointwise_metric_input,json=pointwiseMetricInput,proto3,oneof"`
}

type EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput 

type EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput struct {
	// Input for question answering correctness
	// metric.
	QuestionAnsweringCorrectnessInput *QuestionAnsweringCorrectnessInput `protobuf:"bytes,18,opt,name=question_answering_correctness_input,json=questionAnsweringCorrectnessInput,proto3,oneof"`
}

type EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput 

type EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput struct {
	// Input for question answering helpfulness
	// metric.
	QuestionAnsweringHelpfulnessInput *QuestionAnsweringHelpfulnessInput `protobuf:"bytes,17,opt,name=question_answering_helpfulness_input,json=questionAnsweringHelpfulnessInput,proto3,oneof"`
}

type EvaluateInstancesRequest_QuestionAnsweringQualityInput 

type EvaluateInstancesRequest_QuestionAnsweringQualityInput struct {
	// Input for question answering quality metric.
	QuestionAnsweringQualityInput *QuestionAnsweringQualityInput `protobuf:"bytes,10,opt,name=question_answering_quality_input,json=questionAnsweringQualityInput,proto3,oneof"`
}

type EvaluateInstancesRequest_QuestionAnsweringRelevanceInput 

type EvaluateInstancesRequest_QuestionAnsweringRelevanceInput struct {
	// Input for question answering relevance metric.
	QuestionAnsweringRelevanceInput *QuestionAnsweringRelevanceInput `protobuf:"bytes,16,opt,name=question_answering_relevance_input,json=questionAnsweringRelevanceInput,proto3,oneof"`
}

type EvaluateInstancesRequest_RougeInput 

type EvaluateInstancesRequest_RougeInput struct {
	// Instances and metric spec for rouge metric.
	RougeInput *RougeInput `protobuf:"bytes,4,opt,name=rouge_input,json=rougeInput,proto3,oneof"`
}

type EvaluateInstancesRequest_SafetyInput 

type EvaluateInstancesRequest_SafetyInput struct {
	// Input for safety metric.
	SafetyInput *SafetyInput `protobuf:"bytes,8,opt,name=safety_input,json=safetyInput,proto3,oneof"`
}

type EvaluateInstancesRequest_SummarizationHelpfulnessInput 

type EvaluateInstancesRequest_SummarizationHelpfulnessInput struct {
	// Input for summarization helpfulness metric.
	SummarizationHelpfulnessInput *SummarizationHelpfulnessInput `protobuf:"bytes,14,opt,name=summarization_helpfulness_input,json=summarizationHelpfulnessInput,proto3,oneof"`
}

type EvaluateInstancesRequest_SummarizationQualityInput 

type EvaluateInstancesRequest_SummarizationQualityInput struct {
	// Input for summarization quality metric.
	SummarizationQualityInput *SummarizationQualityInput `protobuf:"bytes,7,opt,name=summarization_quality_input,json=summarizationQualityInput,proto3,oneof"`
}

type EvaluateInstancesRequest_SummarizationVerbosityInput 

type EvaluateInstancesRequest_SummarizationVerbosityInput struct {
	// Input for summarization verbosity metric.
	SummarizationVerbosityInput *SummarizationVerbosityInput `protobuf:"bytes,15,opt,name=summarization_verbosity_input,json=summarizationVerbosityInput,proto3,oneof"`
}

type EvaluateInstancesRequest_ToolCallValidInput 

type EvaluateInstancesRequest_ToolCallValidInput struct {
	// Tool call metric instances.
	// Input for tool call valid metric.
	ToolCallValidInput *ToolCallValidInput `protobuf:"bytes,19,opt,name=tool_call_valid_input,json=toolCallValidInput,proto3,oneof"`
}

type EvaluateInstancesRequest_ToolNameMatchInput 

type EvaluateInstancesRequest_ToolNameMatchInput struct {
	// Input for tool name match metric.
	ToolNameMatchInput *ToolNameMatchInput `protobuf:"bytes,20,opt,name=tool_name_match_input,json=toolNameMatchInput,proto3,oneof"`
}

type EvaluateInstancesRequest_ToolParameterKeyMatchInput 

type EvaluateInstancesRequest_ToolParameterKeyMatchInput struct {
	// Input for tool parameter key match metric.
	ToolParameterKeyMatchInput *ToolParameterKeyMatchInput `protobuf:"bytes,21,opt,name=tool_parameter_key_match_input,json=toolParameterKeyMatchInput,proto3,oneof"`
}

type EvaluateInstancesRequest_ToolParameterKvMatchInput 

type EvaluateInstancesRequest_ToolParameterKvMatchInput struct {
	// Input for tool parameter key value match metric.
	ToolParameterKvMatchInput *ToolParameterKVMatchInput `protobuf:"bytes,22,opt,name=tool_parameter_kv_match_input,json=toolParameterKvMatchInput,proto3,oneof"`
}

type EvaluateInstancesResponse 

type EvaluateInstancesResponse struct {

	// Evaluation results will be served in the same order as presented in
	// EvaluationRequest.instances.
	//
	// Types that are assignable to EvaluationResults:
	//
	//	*EvaluateInstancesResponse_ExactMatchResults
	//	*EvaluateInstancesResponse_BleuResults
	//	*EvaluateInstancesResponse_RougeResults
	//	*EvaluateInstancesResponse_FluencyResult
	//	*EvaluateInstancesResponse_CoherenceResult
	//	*EvaluateInstancesResponse_SafetyResult
	//	*EvaluateInstancesResponse_GroundednessResult
	//	*EvaluateInstancesResponse_FulfillmentResult
	//	*EvaluateInstancesResponse_SummarizationQualityResult
	//	*EvaluateInstancesResponse_PairwiseSummarizationQualityResult
	//	*EvaluateInstancesResponse_SummarizationHelpfulnessResult
	//	*EvaluateInstancesResponse_SummarizationVerbosityResult
	//	*EvaluateInstancesResponse_QuestionAnsweringQualityResult
	//	*EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult
	//	*EvaluateInstancesResponse_QuestionAnsweringRelevanceResult
	//	*EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult
	//	*EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult
	//	*EvaluateInstancesResponse_PointwiseMetricResult
	//	*EvaluateInstancesResponse_PairwiseMetricResult
	//	*EvaluateInstancesResponse_ToolCallValidResults
	//	*EvaluateInstancesResponse_ToolNameMatchResults
	//	*EvaluateInstancesResponse_ToolParameterKeyMatchResults
	//	*EvaluateInstancesResponse_ToolParameterKvMatchResults
	//	*EvaluateInstancesResponse_CometResult
	//	*EvaluateInstancesResponse_MetricxResult
	EvaluationResults isEvaluateInstancesResponse_EvaluationResults `protobuf_oneof:"evaluation_results"`
	// contains filtered or unexported fields
}

Response message for EvaluationService.EvaluateInstances.

func (*EvaluateInstancesResponse) Descriptor 

func (*EvaluateInstancesResponse) Descriptor() ([]byte, []int)

Deprecated: Use EvaluateInstancesResponse.ProtoReflect.Descriptor instead.

func (*EvaluateInstancesResponse) GetBleuResults 

func (x *EvaluateInstancesResponse) GetBleuResults() *BleuResults

func (*EvaluateInstancesResponse) GetCoherenceResult 

func (x *EvaluateInstancesResponse) GetCoherenceResult() *CoherenceResult

func (*EvaluateInstancesResponse) GetCometResult 

func (x *EvaluateInstancesResponse) GetCometResult() *CometResult

func (*EvaluateInstancesResponse) GetEvaluationResults 

func (m *EvaluateInstancesResponse) GetEvaluationResults() isEvaluateInstancesResponse_EvaluationResults

func (*EvaluateInstancesResponse) GetExactMatchResults 

func (x *EvaluateInstancesResponse) GetExactMatchResults() *ExactMatchResults

func (*EvaluateInstancesResponse) GetFluencyResult 

func (x *EvaluateInstancesResponse) GetFluencyResult() *FluencyResult

func (*EvaluateInstancesResponse) GetFulfillmentResult 

func (x *EvaluateInstancesResponse) GetFulfillmentResult() *FulfillmentResult

func (*EvaluateInstancesResponse) GetGroundednessResult 

func (x *EvaluateInstancesResponse) GetGroundednessResult() *GroundednessResult

func (*EvaluateInstancesResponse) GetMetricxResult 

func (x *EvaluateInstancesResponse) GetMetricxResult() *MetricxResult

func (*EvaluateInstancesResponse) GetPairwiseMetricResult 

func (x *EvaluateInstancesResponse) GetPairwiseMetricResult() *PairwiseMetricResult

func (*EvaluateInstancesResponse) GetPairwiseQuestionAnsweringQualityResult 

func (x *EvaluateInstancesResponse) GetPairwiseQuestionAnsweringQualityResult() *PairwiseQuestionAnsweringQualityResult

func (*EvaluateInstancesResponse) GetPairwiseSummarizationQualityResult 

func (x *EvaluateInstancesResponse) GetPairwiseSummarizationQualityResult() *PairwiseSummarizationQualityResult

func (*EvaluateInstancesResponse) GetPointwiseMetricResult 

func (x *EvaluateInstancesResponse) GetPointwiseMetricResult() *PointwiseMetricResult

func (*EvaluateInstancesResponse) GetQuestionAnsweringCorrectnessResult 

func (x *EvaluateInstancesResponse) GetQuestionAnsweringCorrectnessResult() *QuestionAnsweringCorrectnessResult

func (*EvaluateInstancesResponse) GetQuestionAnsweringHelpfulnessResult 

func (x *EvaluateInstancesResponse) GetQuestionAnsweringHelpfulnessResult() *QuestionAnsweringHelpfulnessResult

func (*EvaluateInstancesResponse) GetQuestionAnsweringQualityResult 

func (x *EvaluateInstancesResponse) GetQuestionAnsweringQualityResult() *QuestionAnsweringQualityResult

func (*EvaluateInstancesResponse) GetQuestionAnsweringRelevanceResult 

func (x *EvaluateInstancesResponse) GetQuestionAnsweringRelevanceResult() *QuestionAnsweringRelevanceResult

func (*EvaluateInstancesResponse) GetRougeResults 

func (x *EvaluateInstancesResponse) GetRougeResults() *RougeResults

func (*EvaluateInstancesResponse) GetSafetyResult 

func (x *EvaluateInstancesResponse) GetSafetyResult() *SafetyResult

func (*EvaluateInstancesResponse) GetSummarizationHelpfulnessResult 

func (x *EvaluateInstancesResponse) GetSummarizationHelpfulnessResult() *SummarizationHelpfulnessResult

func (*EvaluateInstancesResponse) GetSummarizationQualityResult 

func (x *EvaluateInstancesResponse) GetSummarizationQualityResult() *SummarizationQualityResult

func (*EvaluateInstancesResponse) GetSummarizationVerbosityResult 

func (x *EvaluateInstancesResponse) GetSummarizationVerbosityResult() *SummarizationVerbosityResult

func (*EvaluateInstancesResponse) GetToolCallValidResults 

func (x *EvaluateInstancesResponse) GetToolCallValidResults() *ToolCallValidResults

func (*EvaluateInstancesResponse) GetToolNameMatchResults 

func (x *EvaluateInstancesResponse) GetToolNameMatchResults() *ToolNameMatchResults

func (*EvaluateInstancesResponse) GetToolParameterKeyMatchResults 

func (x *EvaluateInstancesResponse) GetToolParameterKeyMatchResults() *ToolParameterKeyMatchResults

func (*EvaluateInstancesResponse) GetToolParameterKvMatchResults 

func (x *EvaluateInstancesResponse) GetToolParameterKvMatchResults() *ToolParameterKVMatchResults

func (*EvaluateInstancesResponse) ProtoMessage 

func (*EvaluateInstancesResponse) ProtoMessage()

func (*EvaluateInstancesResponse) ProtoReflect 

func (x *EvaluateInstancesResponse) ProtoReflect() protoreflect.Message

func (*EvaluateInstancesResponse) Reset 

func (x *EvaluateInstancesResponse) Reset()

func (*EvaluateInstancesResponse) String 

func (x *EvaluateInstancesResponse) String() string

type EvaluateInstancesResponse_BleuResults 

type EvaluateInstancesResponse_BleuResults struct {
	// Results for bleu metric.
	BleuResults *BleuResults `protobuf:"bytes,2,opt,name=bleu_results,json=bleuResults,proto3,oneof"`
}

type EvaluateInstancesResponse_CoherenceResult 

type EvaluateInstancesResponse_CoherenceResult struct {
	// Result for coherence metric.
	CoherenceResult *CoherenceResult `protobuf:"bytes,5,opt,name=coherence_result,json=coherenceResult,proto3,oneof"`
}

type EvaluateInstancesResponse_CometResult 

type EvaluateInstancesResponse_CometResult struct {
	// Translation metrics.
	// Result for Comet metric.
	CometResult *CometResult `protobuf:"bytes,29,opt,name=comet_result,json=cometResult,proto3,oneof"`
}

type EvaluateInstancesResponse_ExactMatchResults 

type EvaluateInstancesResponse_ExactMatchResults struct {
	// Auto metric evaluation results.
	// Results for exact match metric.
	ExactMatchResults *ExactMatchResults `protobuf:"bytes,1,opt,name=exact_match_results,json=exactMatchResults,proto3,oneof"`
}

type EvaluateInstancesResponse_FluencyResult 

type EvaluateInstancesResponse_FluencyResult struct {
	// LLM-based metric evaluation result.
	// General text generation metrics, applicable to other categories.
	// Result for fluency metric.
	FluencyResult *FluencyResult `protobuf:"bytes,4,opt,name=fluency_result,json=fluencyResult,proto3,oneof"`
}

type EvaluateInstancesResponse_FulfillmentResult 

type EvaluateInstancesResponse_FulfillmentResult struct {
	// Result for fulfillment metric.
	FulfillmentResult *FulfillmentResult `protobuf:"bytes,11,opt,name=fulfillment_result,json=fulfillmentResult,proto3,oneof"`
}

type EvaluateInstancesResponse_GroundednessResult 

type EvaluateInstancesResponse_GroundednessResult struct {
	// Result for groundedness metric.
	GroundednessResult *GroundednessResult `protobuf:"bytes,8,opt,name=groundedness_result,json=groundednessResult,proto3,oneof"`
}

type EvaluateInstancesResponse_MetricxResult 

type EvaluateInstancesResponse_MetricxResult struct {
	// Result for Metricx metric.
	MetricxResult *MetricxResult `protobuf:"bytes,30,opt,name=metricx_result,json=metricxResult,proto3,oneof"`
}

type EvaluateInstancesResponse_PairwiseMetricResult 

type EvaluateInstancesResponse_PairwiseMetricResult struct {
	// Result for pairwise metric.
	PairwiseMetricResult *PairwiseMetricResult `protobuf:"bytes,28,opt,name=pairwise_metric_result,json=pairwiseMetricResult,proto3,oneof"`
}

type EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult 

type EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult struct {
	// Result for pairwise question answering quality metric.
	PairwiseQuestionAnsweringQualityResult *PairwiseQuestionAnsweringQualityResult `protobuf:"bytes,23,opt,name=pairwise_question_answering_quality_result,json=pairwiseQuestionAnsweringQualityResult,proto3,oneof"`
}

type EvaluateInstancesResponse_PairwiseSummarizationQualityResult 

type EvaluateInstancesResponse_PairwiseSummarizationQualityResult struct {
	// Result for pairwise summarization quality metric.
	PairwiseSummarizationQualityResult *PairwiseSummarizationQualityResult `protobuf:"bytes,22,opt,name=pairwise_summarization_quality_result,json=pairwiseSummarizationQualityResult,proto3,oneof"`
}

type EvaluateInstancesResponse_PointwiseMetricResult 

type EvaluateInstancesResponse_PointwiseMetricResult struct {
	// Generic metrics.
	// Result for pointwise metric.
	PointwiseMetricResult *PointwiseMetricResult `protobuf:"bytes,27,opt,name=pointwise_metric_result,json=pointwiseMetricResult,proto3,oneof"`
}

type EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult 

type EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult struct {
	// Result for question answering correctness metric.
	QuestionAnsweringCorrectnessResult *QuestionAnsweringCorrectnessResult `protobuf:"bytes,17,opt,name=question_answering_correctness_result,json=questionAnsweringCorrectnessResult,proto3,oneof"`
}

type EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult 

type EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult struct {
	// Result for question answering helpfulness metric.
	QuestionAnsweringHelpfulnessResult *QuestionAnsweringHelpfulnessResult `protobuf:"bytes,16,opt,name=question_answering_helpfulness_result,json=questionAnsweringHelpfulnessResult,proto3,oneof"`
}

type EvaluateInstancesResponse_QuestionAnsweringQualityResult 

type EvaluateInstancesResponse_QuestionAnsweringQualityResult struct {
	// Question answering only metrics.
	// Result for question answering quality metric.
	QuestionAnsweringQualityResult *QuestionAnsweringQualityResult `protobuf:"bytes,9,opt,name=question_answering_quality_result,json=questionAnsweringQualityResult,proto3,oneof"`
}

type EvaluateInstancesResponse_QuestionAnsweringRelevanceResult 

type EvaluateInstancesResponse_QuestionAnsweringRelevanceResult struct {
	// Result for question answering relevance metric.
	QuestionAnsweringRelevanceResult *QuestionAnsweringRelevanceResult `protobuf:"bytes,15,opt,name=question_answering_relevance_result,json=questionAnsweringRelevanceResult,proto3,oneof"`
}

type EvaluateInstancesResponse_RougeResults 

type EvaluateInstancesResponse_RougeResults struct {
	// Results for rouge metric.
	RougeResults *RougeResults `protobuf:"bytes,3,opt,name=rouge_results,json=rougeResults,proto3,oneof"`
}

type EvaluateInstancesResponse_SafetyResult 

type EvaluateInstancesResponse_SafetyResult struct {
	// Result for safety metric.
	SafetyResult *SafetyResult `protobuf:"bytes,7,opt,name=safety_result,json=safetyResult,proto3,oneof"`
}

type EvaluateInstancesResponse_SummarizationHelpfulnessResult 

type EvaluateInstancesResponse_SummarizationHelpfulnessResult struct {
	// Result for summarization helpfulness metric.
	SummarizationHelpfulnessResult *SummarizationHelpfulnessResult `protobuf:"bytes,13,opt,name=summarization_helpfulness_result,json=summarizationHelpfulnessResult,proto3,oneof"`
}

type EvaluateInstancesResponse_SummarizationQualityResult 

type EvaluateInstancesResponse_SummarizationQualityResult struct {
	// Summarization only metrics.
	// Result for summarization quality metric.
	SummarizationQualityResult *SummarizationQualityResult `protobuf:"bytes,6,opt,name=summarization_quality_result,json=summarizationQualityResult,proto3,oneof"`
}

type EvaluateInstancesResponse_SummarizationVerbosityResult 

type EvaluateInstancesResponse_SummarizationVerbosityResult struct {
	// Result for summarization verbosity metric.
	SummarizationVerbosityResult *SummarizationVerbosityResult `protobuf:"bytes,14,opt,name=summarization_verbosity_result,json=summarizationVerbosityResult,proto3,oneof"`
}

type EvaluateInstancesResponse_ToolCallValidResults 

type EvaluateInstancesResponse_ToolCallValidResults struct {
	// Tool call metrics.
	//
	//	Results for tool call valid metric.
	ToolCallValidResults *ToolCallValidResults `protobuf:"bytes,18,opt,name=tool_call_valid_results,json=toolCallValidResults,proto3,oneof"`
}

type EvaluateInstancesResponse_ToolNameMatchResults 

type EvaluateInstancesResponse_ToolNameMatchResults struct {
	// Results for tool name match metric.
	ToolNameMatchResults *ToolNameMatchResults `protobuf:"bytes,19,opt,name=tool_name_match_results,json=toolNameMatchResults,proto3,oneof"`
}

type EvaluateInstancesResponse_ToolParameterKeyMatchResults 

type EvaluateInstancesResponse_ToolParameterKeyMatchResults struct {
	// Results for tool parameter key match  metric.
	ToolParameterKeyMatchResults *ToolParameterKeyMatchResults `protobuf:"bytes,20,opt,name=tool_parameter_key_match_results,json=toolParameterKeyMatchResults,proto3,oneof"`
}

type EvaluateInstancesResponse_ToolParameterKvMatchResults 

type EvaluateInstancesResponse_ToolParameterKvMatchResults struct {
	// Results for tool parameter key value match metric.
	ToolParameterKvMatchResults *ToolParameterKVMatchResults `protobuf:"bytes,21,opt,name=tool_parameter_kv_match_results,json=toolParameterKvMatchResults,proto3,oneof"`
}

type EvaluatedAnnotation 

type EvaluatedAnnotation struct {

	// Output only. Type of the EvaluatedAnnotation.
	Type EvaluatedAnnotation_EvaluatedAnnotationType `protobuf:"varint,1,opt,name=type,proto3,enum=google.cloud.aiplatform.v1.EvaluatedAnnotation_EvaluatedAnnotationType" json:"type,omitempty"`
	// Output only. The model predicted annotations.
	//
	// For true positive, there is one and only one prediction, which matches the
	// only one ground truth annotation in
	// [ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths].
	//
	// For false positive, there is one and only one prediction, which doesn't
	// match any ground truth annotation of the corresponding
	// [data_item_view_id][google.cloud.aiplatform.v1.EvaluatedAnnotation.evaluated_data_item_view_id].
	//
	// For false negative, there are zero or more predictions which are similar to
	// the only ground truth annotation in
	// [ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths]
	// but not enough for a match.
	//
	// The schema of the prediction is stored in
	// [ModelEvaluation.annotation_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.annotation_schema_uri]
	Predictions []*structpb.Value `protobuf:"bytes,2,rep,name=predictions,proto3" json:"predictions,omitempty"`
	// Output only. The ground truth Annotations, i.e. the Annotations that exist
	// in the test data the Model is evaluated on.
	//
	// For true positive, there is one and only one ground truth annotation, which
	// matches the only prediction in
	// [predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions].
	//
	// For false positive, there are zero or more ground truth annotations that
	// are similar to the only prediction in
	// [predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions],
	// but not enough for a match.
	//
	// For false negative, there is one and only one ground truth annotation,
	// which doesn't match any predictions created by the model.
	//
	// The schema of the ground truth is stored in
	// [ModelEvaluation.annotation_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.annotation_schema_uri]
	GroundTruths []*structpb.Value `protobuf:"bytes,3,rep,name=ground_truths,json=groundTruths,proto3" json:"ground_truths,omitempty"`
	// Output only. The data item payload that the Model predicted this
	// EvaluatedAnnotation on.
	DataItemPayload *structpb.Value `protobuf:"bytes,5,opt,name=data_item_payload,json=dataItemPayload,proto3" json:"data_item_payload,omitempty"`
	// Output only. ID of the EvaluatedDataItemView under the same ancestor
	// ModelEvaluation. The EvaluatedDataItemView consists of all ground truths
	// and predictions on
	// [data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
	EvaluatedDataItemViewId string `protobuf:"bytes,6,opt,name=evaluated_data_item_view_id,json=evaluatedDataItemViewId,proto3" json:"evaluated_data_item_view_id,omitempty"`
	// Explanations of
	// [predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions].
	// Each element of the explanations indicates the explanation for one
	// explanation Method.
	//
	// The attributions list in the
	// [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1.EvaluatedAnnotationExplanation.explanation]
	// object corresponds to the
	// [predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions]
	// list. For example, the second element in the attributions list explains the
	// second element in the predictions list.
	Explanations []*EvaluatedAnnotationExplanation `protobuf:"bytes,8,rep,name=explanations,proto3" json:"explanations,omitempty"`
	// Annotations of model error analysis results.
	ErrorAnalysisAnnotations []*ErrorAnalysisAnnotation `protobuf:"bytes,9,rep,name=error_analysis_annotations,json=errorAnalysisAnnotations,proto3" json:"error_analysis_annotations,omitempty"`
	// contains filtered or unexported fields
}

True positive, false positive, or false negative.

EvaluatedAnnotation is only available under ModelEvaluationSlice with slice of `annotationSpec` dimension.

func (*EvaluatedAnnotation) Descriptor 

func (*EvaluatedAnnotation) Descriptor() ([]byte, []int)

Deprecated: Use EvaluatedAnnotation.ProtoReflect.Descriptor instead.

func (*EvaluatedAnnotation) GetDataItemPayload 

func (x *EvaluatedAnnotation) GetDataItemPayload() *structpb.Value

func (*EvaluatedAnnotation) GetErrorAnalysisAnnotations 

func (x *EvaluatedAnnotation) GetErrorAnalysisAnnotations() []*ErrorAnalysisAnnotation

func (*EvaluatedAnnotation) GetEvaluatedDataItemViewId 

func (x *EvaluatedAnnotation) GetEvaluatedDataItemViewId() string

func (*EvaluatedAnnotation) GetExplanations 

func (x *EvaluatedAnnotation) GetExplanations() []*EvaluatedAnnotationExplanation

func (*EvaluatedAnnotation) GetGroundTruths 

func (x *EvaluatedAnnotation) GetGroundTruths() []*structpb.Value

func (*EvaluatedAnnotation) GetPredictions 

func (x *EvaluatedAnnotation) GetPredictions() []*structpb.Value

func (*EvaluatedAnnotation) GetType 

func (x *EvaluatedAnnotation) GetType() EvaluatedAnnotation_EvaluatedAnnotationType

func (*EvaluatedAnnotation) ProtoMessage 

func (*EvaluatedAnnotation) ProtoMessage()

func (*EvaluatedAnnotation) ProtoReflect 

func (x *EvaluatedAnnotation) ProtoReflect() protoreflect.Message

func (*EvaluatedAnnotation) Reset 

func (x *EvaluatedAnnotation) Reset()

func (*EvaluatedAnnotation) String 

func (x *EvaluatedAnnotation) String() string

type EvaluatedAnnotationExplanation 

type EvaluatedAnnotationExplanation struct {

	// Explanation type.
	//
	// For AutoML Image Classification models, possible values are:
	//
	//   - `image-integrated-gradients`
	//   - `image-xrai`
	ExplanationType string `protobuf:"bytes,1,opt,name=explanation_type,json=explanationType,proto3" json:"explanation_type,omitempty"`
	// Explanation attribution response details.
	Explanation *Explanation `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// contains filtered or unexported fields
}

Explanation result of the prediction produced by the Model.

func (*EvaluatedAnnotationExplanation) Descriptor 

func (*EvaluatedAnnotationExplanation) Descriptor() ([]byte, []int)

Deprecated: Use EvaluatedAnnotationExplanation.ProtoReflect.Descriptor instead.

func (*EvaluatedAnnotationExplanation) GetExplanation 

func (x *EvaluatedAnnotationExplanation) GetExplanation() *Explanation

func (*EvaluatedAnnotationExplanation) GetExplanationType 

func (x *EvaluatedAnnotationExplanation) GetExplanationType() string

func (*EvaluatedAnnotationExplanation) ProtoMessage 

func (*EvaluatedAnnotationExplanation) ProtoMessage()

func (*EvaluatedAnnotationExplanation) ProtoReflect 

func (x *EvaluatedAnnotationExplanation) ProtoReflect() protoreflect.Message

func (*EvaluatedAnnotationExplanation) Reset 

func (x *EvaluatedAnnotationExplanation) Reset()

func (*EvaluatedAnnotationExplanation) String 

func (x *EvaluatedAnnotationExplanation) String() string

type EvaluatedAnnotation_EvaluatedAnnotationType 

type EvaluatedAnnotation_EvaluatedAnnotationType int32

Describes the type of the EvaluatedAnnotation. The type is determined 

const (
	// Invalid value.
	EvaluatedAnnotation_EVALUATED_ANNOTATION_TYPE_UNSPECIFIED EvaluatedAnnotation_EvaluatedAnnotationType = 0
	// The EvaluatedAnnotation is a true positive. It has a prediction created
	// by the Model and a ground truth Annotation which the prediction matches.
	EvaluatedAnnotation_TRUE_POSITIVE EvaluatedAnnotation_EvaluatedAnnotationType = 1
	// The EvaluatedAnnotation is false positive. It has a prediction created by
	// the Model which does not match any ground truth annotation.
	EvaluatedAnnotation_FALSE_POSITIVE EvaluatedAnnotation_EvaluatedAnnotationType = 2
	// The EvaluatedAnnotation is false negative. It has a ground truth
	// annotation which is not matched by any of the model created predictions.
	EvaluatedAnnotation_FALSE_NEGATIVE EvaluatedAnnotation_EvaluatedAnnotationType = 3
)

func (EvaluatedAnnotation_EvaluatedAnnotationType) Descriptor 

func (EvaluatedAnnotation_EvaluatedAnnotationType) Descriptor() protoreflect.EnumDescriptor

func (EvaluatedAnnotation_EvaluatedAnnotationType) Enum 

func (x EvaluatedAnnotation_EvaluatedAnnotationType) Enum() *EvaluatedAnnotation_EvaluatedAnnotationType

func (EvaluatedAnnotation_EvaluatedAnnotationType) EnumDescriptor 

func (EvaluatedAnnotation_EvaluatedAnnotationType) EnumDescriptor() ([]byte, []int)

Deprecated: Use EvaluatedAnnotation_EvaluatedAnnotationType.Descriptor instead.

func (EvaluatedAnnotation_EvaluatedAnnotationType) Number 

func (x EvaluatedAnnotation_EvaluatedAnnotationType) Number() protoreflect.EnumNumber

func (EvaluatedAnnotation_EvaluatedAnnotationType) String 

func (x EvaluatedAnnotation_EvaluatedAnnotationType) String() string

func (EvaluatedAnnotation_EvaluatedAnnotationType) Type 

func (EvaluatedAnnotation_EvaluatedAnnotationType) Type() protoreflect.EnumType

type EvaluationServiceClient 

type EvaluationServiceClient interface {
	// Evaluates instances based on a given metric.
	EvaluateInstances(ctx context.Context, in *EvaluateInstancesRequest, opts ...grpc.CallOption) (*EvaluateInstancesResponse, error)
}

EvaluationServiceClient is the client API for EvaluationService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewEvaluationServiceClient 

func NewEvaluationServiceClient(cc grpc.ClientConnInterface) EvaluationServiceClient

type EvaluationServiceServer 

type EvaluationServiceServer interface {
	// Evaluates instances based on a given metric.
	EvaluateInstances(context.Context, *EvaluateInstancesRequest) (*EvaluateInstancesResponse, error)
}

EvaluationServiceServer is the server API for EvaluationService service.

type Event 

type Event struct {

	// Required. The relative resource name of the Artifact in the Event.
	Artifact string `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// Output only. The relative resource name of the Execution in the Event.
	Execution string `protobuf:"bytes,2,opt,name=execution,proto3" json:"execution,omitempty"`
	// Output only. Time the Event occurred.
	EventTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=event_time,json=eventTime,proto3" json:"event_time,omitempty"`
	// Required. The type of the Event.
	Type Event_Type `protobuf:"varint,4,opt,name=type,proto3,enum=google.cloud.aiplatform.v1.Event_Type" json:"type,omitempty"`
	// The labels with user-defined metadata to annotate Events.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Event (System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `protobuf:"bytes,5,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

An edge describing the relationship between an Artifact and an Execution in a lineage graph.

func (*Event) Descriptor 

func (*Event) Descriptor() ([]byte, []int)

Deprecated: Use Event.ProtoReflect.Descriptor instead.

func (*Event) GetArtifact 

func (x *Event) GetArtifact() string

func (*Event) GetEventTime 

func (x *Event) GetEventTime() *timestamppb.Timestamp

func (*Event) GetExecution 

func (x *Event) GetExecution() string

func (*Event) GetLabels 

func (x *Event) GetLabels() map[string]string

func (*Event) GetType 

func (x *Event) GetType() Event_Type

func (*Event) ProtoMessage 

func (*Event) ProtoMessage()

func (*Event) ProtoReflect 

func (x *Event) ProtoReflect() protoreflect.Message

func (*Event) Reset 

func (x *Event) Reset()

func (*Event) String 

func (x *Event) String() string

type Event_Type 

type Event_Type int32

Describes whether an Event's Artifact is the Execution's input or output. 

const (
	// Unspecified whether input or output of the Execution.
	Event_TYPE_UNSPECIFIED Event_Type = 0
	// An input of the Execution.
	Event_INPUT Event_Type = 1
	// An output of the Execution.
	Event_OUTPUT Event_Type = 2
)

func (Event_Type) Descriptor 

func (Event_Type) Descriptor() protoreflect.EnumDescriptor

func (Event_Type) Enum 

func (x Event_Type) Enum() *Event_Type

func (Event_Type) EnumDescriptor 

func (Event_Type) EnumDescriptor() ([]byte, []int)

Deprecated: Use Event_Type.Descriptor instead.

func (Event_Type) Number 

func (x Event_Type) Number() protoreflect.EnumNumber

func (Event_Type) String 

func (x Event_Type) String() string

func (Event_Type) Type 

func (Event_Type) Type() protoreflect.EnumType

type ExactMatchInput 

type ExactMatchInput struct {

	// Required. Spec for exact match metric.
	MetricSpec *ExactMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Repeated exact match instances.
	Instances []*ExactMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// contains filtered or unexported fields
}

Input for exact match metric.

func (*ExactMatchInput) Descriptor 

func (*ExactMatchInput) Descriptor() ([]byte, []int)

Deprecated: Use ExactMatchInput.ProtoReflect.Descriptor instead.

func (*ExactMatchInput) GetInstances 

func (x *ExactMatchInput) GetInstances() []*ExactMatchInstance

func (*ExactMatchInput) GetMetricSpec 

func (x *ExactMatchInput) GetMetricSpec() *ExactMatchSpec

func (*ExactMatchInput) ProtoMessage 

func (*ExactMatchInput) ProtoMessage()

func (*ExactMatchInput) ProtoReflect 

func (x *ExactMatchInput) ProtoReflect() protoreflect.Message

func (*ExactMatchInput) Reset 

func (x *ExactMatchInput) Reset()

func (*ExactMatchInput) String 

func (x *ExactMatchInput) String() string

type ExactMatchInstance 

type ExactMatchInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// contains filtered or unexported fields
}

Spec for exact match instance.

func (*ExactMatchInstance) Descriptor 

func (*ExactMatchInstance) Descriptor() ([]byte, []int)

Deprecated: Use ExactMatchInstance.ProtoReflect.Descriptor instead.

func (*ExactMatchInstance) GetPrediction 

func (x *ExactMatchInstance) GetPrediction() string

func (*ExactMatchInstance) GetReference 

func (x *ExactMatchInstance) GetReference() string

func (*ExactMatchInstance) ProtoMessage 

func (*ExactMatchInstance) ProtoMessage()

func (*ExactMatchInstance) ProtoReflect 

func (x *ExactMatchInstance) ProtoReflect() protoreflect.Message

func (*ExactMatchInstance) Reset 

func (x *ExactMatchInstance) Reset()

func (*ExactMatchInstance) String 

func (x *ExactMatchInstance) String() string

type ExactMatchMetricValue 

type ExactMatchMetricValue struct {

	// Output only. Exact match score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Exact match metric value for an instance.

func (*ExactMatchMetricValue) Descriptor 

func (*ExactMatchMetricValue) Descriptor() ([]byte, []int)

Deprecated: Use ExactMatchMetricValue.ProtoReflect.Descriptor instead.

func (*ExactMatchMetricValue) GetScore 

func (x *ExactMatchMetricValue) GetScore() float32

func (*ExactMatchMetricValue) ProtoMessage 

func (*ExactMatchMetricValue) ProtoMessage()

func (*ExactMatchMetricValue) ProtoReflect 

func (x *ExactMatchMetricValue) ProtoReflect() protoreflect.Message

func (*ExactMatchMetricValue) Reset 

func (x *ExactMatchMetricValue) Reset()

func (*ExactMatchMetricValue) String 

func (x *ExactMatchMetricValue) String() string

type ExactMatchResults 

type ExactMatchResults struct {

	// Output only. Exact match metric values.
	ExactMatchMetricValues []*ExactMatchMetricValue `protobuf:"bytes,1,rep,name=exact_match_metric_values,json=exactMatchMetricValues,proto3" json:"exact_match_metric_values,omitempty"`
	// contains filtered or unexported fields
}

Results for exact match metric.

func (*ExactMatchResults) Descriptor 

func (*ExactMatchResults) Descriptor() ([]byte, []int)

Deprecated: Use ExactMatchResults.ProtoReflect.Descriptor instead.

func (*ExactMatchResults) GetExactMatchMetricValues 

func (x *ExactMatchResults) GetExactMatchMetricValues() []*ExactMatchMetricValue

func (*ExactMatchResults) ProtoMessage 

func (*ExactMatchResults) ProtoMessage()

func (*ExactMatchResults) ProtoReflect 

func (x *ExactMatchResults) ProtoReflect() protoreflect.Message

func (*ExactMatchResults) Reset 

func (x *ExactMatchResults) Reset()

func (*ExactMatchResults) String 

func (x *ExactMatchResults) String() string

type ExactMatchSpec 

type ExactMatchSpec struct {
	// contains filtered or unexported fields
}

Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0.

func (*ExactMatchSpec) Descriptor 

func (*ExactMatchSpec) Descriptor() ([]byte, []int)

Deprecated: Use ExactMatchSpec.ProtoReflect.Descriptor instead.

func (*ExactMatchSpec) ProtoMessage 

func (*ExactMatchSpec) ProtoMessage()

func (*ExactMatchSpec) ProtoReflect 

func (x *ExactMatchSpec) ProtoReflect() protoreflect.Message

func (*ExactMatchSpec) Reset 

func (x *ExactMatchSpec) Reset()

func (*ExactMatchSpec) String 

func (x *ExactMatchSpec) String() string

type Examples 

type Examples struct {

	// Types that are assignable to Source:
	//
	//	*Examples_ExampleGcsSource_
	Source isExamples_Source `protobuf_oneof:"source"`
	// Types that are assignable to Config:
	//
	//	*Examples_NearestNeighborSearchConfig
	//	*Examples_Presets
	Config isExamples_Config `protobuf_oneof:"config"`
	// The number of neighbors to return when querying for examples.
	NeighborCount int32 `protobuf:"varint,3,opt,name=neighbor_count,json=neighborCount,proto3" json:"neighbor_count,omitempty"`
	// contains filtered or unexported fields
}

Example-based explainability that returns the nearest neighbors from the provided dataset.

func (*Examples) Descriptor 

func (*Examples) Descriptor() ([]byte, []int)

Deprecated: Use Examples.ProtoReflect.Descriptor instead.

func (*Examples) GetConfig 

func (m *Examples) GetConfig() isExamples_Config

func (*Examples) GetExampleGcsSource 

func (x *Examples) GetExampleGcsSource() *Examples_ExampleGcsSource

func (*Examples) GetNearestNeighborSearchConfig 

func (x *Examples) GetNearestNeighborSearchConfig() *structpb.Value

func (*Examples) GetNeighborCount 

func (x *Examples) GetNeighborCount() int32

func (*Examples) GetPresets 

func (x *Examples) GetPresets() *Presets

func (*Examples) GetSource 

func (m *Examples) GetSource() isExamples_Source

func (*Examples) ProtoMessage 

func (*Examples) ProtoMessage()

func (*Examples) ProtoReflect 

func (x *Examples) ProtoReflect() protoreflect.Message

func (*Examples) Reset 

func (x *Examples) Reset()

func (*Examples) String 

func (x *Examples) String() string

type ExamplesOverride 

type ExamplesOverride struct {

	// The number of neighbors to return.
	NeighborCount int32 `protobuf:"varint,1,opt,name=neighbor_count,json=neighborCount,proto3" json:"neighbor_count,omitempty"`
	// The number of neighbors to return that have the same crowding tag.
	CrowdingCount int32 `protobuf:"varint,2,opt,name=crowding_count,json=crowdingCount,proto3" json:"crowding_count,omitempty"`
	// Restrict the resulting nearest neighbors to respect these constraints.
	Restrictions []*ExamplesRestrictionsNamespace `protobuf:"bytes,3,rep,name=restrictions,proto3" json:"restrictions,omitempty"`
	// If true, return the embeddings instead of neighbors.
	ReturnEmbeddings bool `protobuf:"varint,4,opt,name=return_embeddings,json=returnEmbeddings,proto3" json:"return_embeddings,omitempty"`
	// The format of the data being provided with each call.
	DataFormat ExamplesOverride_DataFormat `protobuf:"varint,5,opt,name=data_format,json=dataFormat,proto3,enum=google.cloud.aiplatform.v1.ExamplesOverride_DataFormat" json:"data_format,omitempty"`
	// contains filtered or unexported fields
}

Overrides for example-based explanations.

func (*ExamplesOverride) Descriptor 

func (*ExamplesOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExamplesOverride.ProtoReflect.Descriptor instead.

func (*ExamplesOverride) GetCrowdingCount 

func (x *ExamplesOverride) GetCrowdingCount() int32

func (*ExamplesOverride) GetDataFormat 

func (x *ExamplesOverride) GetDataFormat() ExamplesOverride_DataFormat

func (*ExamplesOverride) GetNeighborCount 

func (x *ExamplesOverride) GetNeighborCount() int32

func (*ExamplesOverride) GetRestrictions 

func (x *ExamplesOverride) GetRestrictions() []*ExamplesRestrictionsNamespace

func (*ExamplesOverride) GetReturnEmbeddings 

func (x *ExamplesOverride) GetReturnEmbeddings() bool

func (*ExamplesOverride) ProtoMessage 

func (*ExamplesOverride) ProtoMessage()

func (*ExamplesOverride) ProtoReflect 

func (x *ExamplesOverride) ProtoReflect() protoreflect.Message

func (*ExamplesOverride) Reset 

func (x *ExamplesOverride) Reset()

func (*ExamplesOverride) String 

func (x *ExamplesOverride) String() string

type ExamplesOverride_DataFormat 

type ExamplesOverride_DataFormat int32

Data format enum. 

const (
	// Unspecified format. Must not be used.
	ExamplesOverride_DATA_FORMAT_UNSPECIFIED ExamplesOverride_DataFormat = 0
	// Provided data is a set of model inputs.
	ExamplesOverride_INSTANCES ExamplesOverride_DataFormat = 1
	// Provided data is a set of embeddings.
	ExamplesOverride_EMBEDDINGS ExamplesOverride_DataFormat = 2
)

func (ExamplesOverride_DataFormat) Descriptor 

func (ExamplesOverride_DataFormat) Descriptor() protoreflect.EnumDescriptor

func (ExamplesOverride_DataFormat) Enum 

func (x ExamplesOverride_DataFormat) Enum() *ExamplesOverride_DataFormat

func (ExamplesOverride_DataFormat) EnumDescriptor 

func (ExamplesOverride_DataFormat) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExamplesOverride_DataFormat.Descriptor instead.

func (ExamplesOverride_DataFormat) Number 

func (x ExamplesOverride_DataFormat) Number() protoreflect.EnumNumber

func (ExamplesOverride_DataFormat) String 

func (x ExamplesOverride_DataFormat) String() string

func (ExamplesOverride_DataFormat) Type 

func (ExamplesOverride_DataFormat) Type() protoreflect.EnumType

type ExamplesRestrictionsNamespace 

type ExamplesRestrictionsNamespace struct {

	// The namespace name.
	NamespaceName string `protobuf:"bytes,1,opt,name=namespace_name,json=namespaceName,proto3" json:"namespace_name,omitempty"`
	// The list of allowed tags.
	Allow []string `protobuf:"bytes,2,rep,name=allow,proto3" json:"allow,omitempty"`
	// The list of deny tags.
	Deny []string `protobuf:"bytes,3,rep,name=deny,proto3" json:"deny,omitempty"`
	// contains filtered or unexported fields
}

Restrictions namespace for example-based explanations overrides.

func (*ExamplesRestrictionsNamespace) Descriptor 

func (*ExamplesRestrictionsNamespace) Descriptor() ([]byte, []int)

Deprecated: Use ExamplesRestrictionsNamespace.ProtoReflect.Descriptor instead.

func (*ExamplesRestrictionsNamespace) GetAllow 

func (x *ExamplesRestrictionsNamespace) GetAllow() []string

func (*ExamplesRestrictionsNamespace) GetDeny 

func (x *ExamplesRestrictionsNamespace) GetDeny() []string

func (*ExamplesRestrictionsNamespace) GetNamespaceName 

func (x *ExamplesRestrictionsNamespace) GetNamespaceName() string

func (*ExamplesRestrictionsNamespace) ProtoMessage 

func (*ExamplesRestrictionsNamespace) ProtoMessage()

func (*ExamplesRestrictionsNamespace) ProtoReflect 

func (x *ExamplesRestrictionsNamespace) ProtoReflect() protoreflect.Message

func (*ExamplesRestrictionsNamespace) Reset 

func (x *ExamplesRestrictionsNamespace) Reset()

func (*ExamplesRestrictionsNamespace) String 

func (x *ExamplesRestrictionsNamespace) String() string

type Examples_ExampleGcsSource 

type Examples_ExampleGcsSource struct {

	// The format in which instances are given, if not specified, assume it's
	// JSONL format. Currently only JSONL format is supported.
	DataFormat Examples_ExampleGcsSource_DataFormat `protobuf:"varint,1,opt,name=data_format,json=dataFormat,proto3,enum=google.cloud.aiplatform.v1.Examples_ExampleGcsSource_DataFormat" json:"data_format,omitempty"`
	// The Cloud Storage location for the input instances.
	GcsSource *GcsSource `protobuf:"bytes,2,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
	// contains filtered or unexported fields
}

The Cloud Storage input instances.

func (*Examples_ExampleGcsSource) Descriptor 

func (*Examples_ExampleGcsSource) Descriptor() ([]byte, []int)

Deprecated: Use Examples_ExampleGcsSource.ProtoReflect.Descriptor instead.

func (*Examples_ExampleGcsSource) GetDataFormat 

func (x *Examples_ExampleGcsSource) GetDataFormat() Examples_ExampleGcsSource_DataFormat

func (*Examples_ExampleGcsSource) GetGcsSource 

func (x *Examples_ExampleGcsSource) GetGcsSource() *GcsSource

func (*Examples_ExampleGcsSource) ProtoMessage 

func (*Examples_ExampleGcsSource) ProtoMessage()

func (*Examples_ExampleGcsSource) ProtoReflect 

func (x *Examples_ExampleGcsSource) ProtoReflect() protoreflect.Message

func (*Examples_ExampleGcsSource) Reset 

func (x *Examples_ExampleGcsSource) Reset()

func (*Examples_ExampleGcsSource) String 

func (x *Examples_ExampleGcsSource) String() string

type Examples_ExampleGcsSource_ 

type Examples_ExampleGcsSource_ struct {
	// The Cloud Storage input instances.
	ExampleGcsSource *Examples_ExampleGcsSource `protobuf:"bytes,5,opt,name=example_gcs_source,json=exampleGcsSource,proto3,oneof"`
}

type Examples_ExampleGcsSource_DataFormat 

type Examples_ExampleGcsSource_DataFormat int32

The format of the input example instances. 

const (
	// Format unspecified, used when unset.
	Examples_ExampleGcsSource_DATA_FORMAT_UNSPECIFIED Examples_ExampleGcsSource_DataFormat = 0
	// Examples are stored in JSONL files.
	Examples_ExampleGcsSource_JSONL Examples_ExampleGcsSource_DataFormat = 1
)

func (Examples_ExampleGcsSource_DataFormat) Descriptor 

func (Examples_ExampleGcsSource_DataFormat) Descriptor() protoreflect.EnumDescriptor

func (Examples_ExampleGcsSource_DataFormat) Enum 

func (x Examples_ExampleGcsSource_DataFormat) Enum() *Examples_ExampleGcsSource_DataFormat

func (Examples_ExampleGcsSource_DataFormat) EnumDescriptor 

func (Examples_ExampleGcsSource_DataFormat) EnumDescriptor() ([]byte, []int)

Deprecated: Use Examples_ExampleGcsSource_DataFormat.Descriptor instead.

func (Examples_ExampleGcsSource_DataFormat) Number 

func (x Examples_ExampleGcsSource_DataFormat) Number() protoreflect.EnumNumber

func (Examples_ExampleGcsSource_DataFormat) String 

func (x Examples_ExampleGcsSource_DataFormat) String() string

func (Examples_ExampleGcsSource_DataFormat) Type 

func (Examples_ExampleGcsSource_DataFormat) Type() protoreflect.EnumType

type Examples_NearestNeighborSearchConfig 

type Examples_NearestNeighborSearchConfig struct {
	// The full configuration for the generated index, the semantics are the
	// same as [metadata][google.cloud.aiplatform.v1.Index.metadata] and should
	// match
	// [NearestNeighborSearchConfig](https://cloud.google.com/vertex-ai/docs/explainable-ai/configuring-explanations-example-based#nearest-neighbor-search-config).
	NearestNeighborSearchConfig *structpb.Value `protobuf:"bytes,2,opt,name=nearest_neighbor_search_config,json=nearestNeighborSearchConfig,proto3,oneof"`
}

type Examples_Presets 

type Examples_Presets struct {
	// Simplified preset configuration, which automatically sets configuration
	// values based on the desired query speed-precision trade-off and modality.
	Presets *Presets `protobuf:"bytes,4,opt,name=presets,proto3,oneof"`
}

type ExecutableCode 

type ExecutableCode struct {

	// Required. Programming language of the `code`.
	Language ExecutableCode_Language `protobuf:"varint,1,opt,name=language,proto3,enum=google.cloud.aiplatform.v1.ExecutableCode_Language" json:"language,omitempty"`
	// Required. The code to be executed.
	Code string `protobuf:"bytes,2,opt,name=code,proto3" json:"code,omitempty"`
	// contains filtered or unexported fields
}

Code generated by the model that is meant to be executed, and the result returned to the model.

Generated when using the FunctionDeclaration tool and FunctionCallingConfig mode is set to [Mode.CODE].

func (*ExecutableCode) Descriptor 

func (*ExecutableCode) Descriptor() ([]byte, []int)

Deprecated: Use ExecutableCode.ProtoReflect.Descriptor instead.

func (*ExecutableCode) GetCode 

func (x *ExecutableCode) GetCode() string

func (*ExecutableCode) GetLanguage 

func (x *ExecutableCode) GetLanguage() ExecutableCode_Language

func (*ExecutableCode) ProtoMessage 

func (*ExecutableCode) ProtoMessage()

func (*ExecutableCode) ProtoReflect 

func (x *ExecutableCode) ProtoReflect() protoreflect.Message

func (*ExecutableCode) Reset 

func (x *ExecutableCode) Reset()

func (*ExecutableCode) String 

func (x *ExecutableCode) String() string

type ExecutableCode_Language 

type ExecutableCode_Language int32

Supported programming languages for the generated code. 

const (
	// Unspecified language. This value should not be used.
	ExecutableCode_LANGUAGE_UNSPECIFIED ExecutableCode_Language = 0
	// Python >= 3.10, with numpy and simpy available.
	ExecutableCode_PYTHON ExecutableCode_Language = 1
)

func (ExecutableCode_Language) Descriptor 

func (ExecutableCode_Language) Descriptor() protoreflect.EnumDescriptor

func (ExecutableCode_Language) Enum 

func (x ExecutableCode_Language) Enum() *ExecutableCode_Language

func (ExecutableCode_Language) EnumDescriptor 

func (ExecutableCode_Language) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExecutableCode_Language.Descriptor instead.

func (ExecutableCode_Language) Number 

func (x ExecutableCode_Language) Number() protoreflect.EnumNumber

func (ExecutableCode_Language) String 

func (x ExecutableCode_Language) String() string

func (ExecutableCode_Language) Type 

func (ExecutableCode_Language) Type() protoreflect.EnumType

type Execution 

type Execution struct {

	// Output only. The resource name of the Execution.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// User provided display name of the Execution.
	// May be up to 128 Unicode characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The state of this Execution. This is a property of the Execution, and does
	// not imply or capture any ongoing process. This property is managed by
	// clients (such as Vertex AI Pipelines) and the system does not prescribe
	// or check the validity of state transitions.
	State Execution_State `protobuf:"varint,6,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Execution_State" json:"state,omitempty"`
	// An eTag used to perform consistent read-modify-write updates. If not set, a
	// blind "overwrite" update happens.
	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Executions.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Execution (System
	// labels are excluded).
	Labels map[string]string `protobuf:"bytes,10,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Timestamp when this Execution was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Execution was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The title of the schema describing the metadata.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaTitle string `protobuf:"bytes,13,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`
	// The version of the schema in `schema_title` to use.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
	// Properties of the Execution.
	// Top level metadata keys' heading and trailing spaces will be trimmed.
	// The size of this field should not exceed 200KB.
	Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Description of the Execution
	Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`
	// contains filtered or unexported fields
}

Instance of a general execution.

func (*Execution) Descriptor 

func (*Execution) Descriptor() ([]byte, []int)

Deprecated: Use Execution.ProtoReflect.Descriptor instead.

func (*Execution) GetCreateTime 

func (x *Execution) GetCreateTime() *timestamppb.Timestamp

func (*Execution) GetDescription 

func (x *Execution) GetDescription() string

func (*Execution) GetDisplayName 

func (x *Execution) GetDisplayName() string

func (*Execution) GetEtag 

func (x *Execution) GetEtag() string

func (*Execution) GetLabels 

func (x *Execution) GetLabels() map[string]string

func (*Execution) GetMetadata 

func (x *Execution) GetMetadata() *structpb.Struct

func (*Execution) GetName 

func (x *Execution) GetName() string

func (*Execution) GetSchemaTitle 

func (x *Execution) GetSchemaTitle() string

func (*Execution) GetSchemaVersion 

func (x *Execution) GetSchemaVersion() string

func (*Execution) GetState 

func (x *Execution) GetState() Execution_State

func (*Execution) GetUpdateTime 

func (x *Execution) GetUpdateTime() *timestamppb.Timestamp

func (*Execution) ProtoMessage 

func (*Execution) ProtoMessage()

func (*Execution) ProtoReflect 

func (x *Execution) ProtoReflect() protoreflect.Message

func (*Execution) Reset 

func (x *Execution) Reset()

func (*Execution) String 

func (x *Execution) String() string

type Execution_State 

type Execution_State int32

Describes the state of the Execution. 

const (
	// Unspecified Execution state
	Execution_STATE_UNSPECIFIED Execution_State = 0
	// The Execution is new
	Execution_NEW Execution_State = 1
	// The Execution is running
	Execution_RUNNING Execution_State = 2
	// The Execution has finished running
	Execution_COMPLETE Execution_State = 3
	// The Execution has failed
	Execution_FAILED Execution_State = 4
	// The Execution completed through Cache hit.
	Execution_CACHED Execution_State = 5
	// The Execution was cancelled.
	Execution_CANCELLED Execution_State = 6
)

func (Execution_State) Descriptor 

func (Execution_State) Descriptor() protoreflect.EnumDescriptor

func (Execution_State) Enum 

func (x Execution_State) Enum() *Execution_State

func (Execution_State) EnumDescriptor 

func (Execution_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Execution_State.Descriptor instead.

func (Execution_State) Number 

func (x Execution_State) Number() protoreflect.EnumNumber

func (Execution_State) String 

func (x Execution_State) String() string

func (Execution_State) Type 

func (Execution_State) Type() protoreflect.EnumType

type ExplainRequest 

type ExplainRequest struct {

	// Required. The name of the Endpoint requested to serve the explanation.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The instances that are the input to the explanation call.
	// A DeployedModel may have an upper limit on the number of instances it
	// supports per request, and when it is exceeded the explanation call errors
	// in case of AutoML Models, or, in case of customer created Models, the
	// behaviour is as documented by that Model.
	// The schema of any single instance may be specified via Endpoint's
	// DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// The parameters that govern the prediction. The schema of the parameters may
	// be specified via Endpoint's DeployedModels' [Model's
	// ][google.cloud.aiplatform.v1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
	Parameters *structpb.Value `protobuf:"bytes,4,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// If specified, overrides the
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// of the DeployedModel. Can be used for explaining prediction results with
	// different configurations, such as:
	//   - Explaining top-5 predictions results as opposed to top-1;
	//   - Increasing path count or step count of the attribution methods to reduce
	//     approximate errors;
	//   - Using different baselines for explaining the prediction results.
	ExplanationSpecOverride *ExplanationSpecOverride `protobuf:"bytes,5,opt,name=explanation_spec_override,json=explanationSpecOverride,proto3" json:"explanation_spec_override,omitempty"`
	// If specified, this ExplainRequest will be served by the chosen
	// DeployedModel, overriding
	// [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
	DeployedModelId string `protobuf:"bytes,3,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].

func (*ExplainRequest) Descriptor 

func (*ExplainRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExplainRequest.ProtoReflect.Descriptor instead.

func (*ExplainRequest) GetDeployedModelId 

func (x *ExplainRequest) GetDeployedModelId() string

func (*ExplainRequest) GetEndpoint 

func (x *ExplainRequest) GetEndpoint() string

func (*ExplainRequest) GetExplanationSpecOverride 

func (x *ExplainRequest) GetExplanationSpecOverride() *ExplanationSpecOverride

func (*ExplainRequest) GetInstances 

func (x *ExplainRequest) GetInstances() []*structpb.Value

func (*ExplainRequest) GetParameters 

func (x *ExplainRequest) GetParameters() *structpb.Value

func (*ExplainRequest) ProtoMessage 

func (*ExplainRequest) ProtoMessage()

func (*ExplainRequest) ProtoReflect 

func (x *ExplainRequest) ProtoReflect() protoreflect.Message

func (*ExplainRequest) Reset 

func (x *ExplainRequest) Reset()

func (*ExplainRequest) String 

func (x *ExplainRequest) String() string

type ExplainResponse 

type ExplainResponse struct {

	// The explanations of the Model's
	// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
	//
	// It has the same number of elements as
	// [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
	// explained.
	Explanations []*Explanation `protobuf:"bytes,1,rep,name=explanations,proto3" json:"explanations,omitempty"`
	// ID of the Endpoint's DeployedModel that served this explanation.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The predictions that are the output of the predictions call.
	// Same as
	// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
	Predictions []*structpb.Value `protobuf:"bytes,3,rep,name=predictions,proto3" json:"predictions,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].

func (*ExplainResponse) Descriptor 

func (*ExplainResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExplainResponse.ProtoReflect.Descriptor instead.

func (*ExplainResponse) GetDeployedModelId 

func (x *ExplainResponse) GetDeployedModelId() string

func (*ExplainResponse) GetExplanations 

func (x *ExplainResponse) GetExplanations() []*Explanation

func (*ExplainResponse) GetPredictions 

func (x *ExplainResponse) GetPredictions() []*structpb.Value

func (*ExplainResponse) ProtoMessage 

func (*ExplainResponse) ProtoMessage()

func (*ExplainResponse) ProtoReflect 

func (x *ExplainResponse) ProtoReflect() protoreflect.Message

func (*ExplainResponse) Reset 

func (x *ExplainResponse) Reset()

func (*ExplainResponse) String 

func (x *ExplainResponse) String() string

type Explanation 

type Explanation struct {

	// Output only. Feature attributions grouped by predicted outputs.
	//
	// For Models that predict only one output, such as regression Models that
	// predict only one score, there is only one attibution that explains the
	// predicted output. For Models that predict multiple outputs, such as
	// multiclass Models that predict multiple classes, each element explains one
	// specific item.
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// can be used to identify which output this attribution is explaining.
	//
	// By default, we provide Shapley values for the predicted class. However,
	// you can configure the explanation request to generate Shapley values for
	// any other classes too. For example, if a model predicts a probability of
	// `0.4` for approving a loan application, the model's decision is to reject
	// the application since `p(reject) = 0.6 > p(approve) = 0.4`, and the default
	// Shapley values would be computed for rejection decision and not approval,
	// even though the latter might be the positive class.
	//
	// If users set
	// [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
	// the attributions are sorted by
	// [instance_output_value][google.cloud.aiplatform.v1.Attribution.instance_output_value]
	// in descending order. If
	// [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
	// is specified, the attributions are stored by
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// in the same order as they appear in the output_indices.
	Attributions []*Attribution `protobuf:"bytes,1,rep,name=attributions,proto3" json:"attributions,omitempty"`
	// Output only. List of the nearest neighbors for example-based explanations.
	//
	// For models deployed with the examples explanations feature enabled, the
	// attributions field is empty and instead the neighbors field is populated.
	Neighbors []*Neighbor `protobuf:"bytes,2,rep,name=neighbors,proto3" json:"neighbors,omitempty"`
	// contains filtered or unexported fields
}

Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions]) produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].

func (*Explanation) Descriptor 

func (*Explanation) Descriptor() ([]byte, []int)

Deprecated: Use Explanation.ProtoReflect.Descriptor instead.

func (*Explanation) GetAttributions 

func (x *Explanation) GetAttributions() []*Attribution

func (*Explanation) GetNeighbors 

func (x *Explanation) GetNeighbors() []*Neighbor

func (*Explanation) ProtoMessage 

func (*Explanation) ProtoMessage()

func (*Explanation) ProtoReflect 

func (x *Explanation) ProtoReflect() protoreflect.Message

func (*Explanation) Reset 

func (x *Explanation) Reset()

func (*Explanation) String 

func (x *Explanation) String() string

type ExplanationMetadata 

type ExplanationMetadata struct {

	// Required. Map from feature names to feature input metadata. Keys are the
	// name of the features. Values are the specification of the feature.
	//
	// An empty InputMetadata is valid. It describes a text feature which has the
	// name specified as the key in
	// [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
	// The baseline of the empty feature is chosen by Vertex AI.
	//
	// For Vertex AI-provided Tensorflow images, the key can be any friendly
	// name of the feature. Once specified,
	// [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
	// are keyed by this key (if not grouped with another feature).
	//
	// For custom images, the key must match with the key in
	// [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
	Inputs map[string]*ExplanationMetadata_InputMetadata `protobuf:"bytes,1,rep,name=inputs,proto3" json:"inputs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Required. Map from output names to output metadata.
	//
	// For Vertex AI-provided Tensorflow images, keys can be any user defined
	// string that consists of any UTF-8 characters.
	//
	// For custom images, keys are the name of the output field in the prediction
	// to be explained.
	//
	// Currently only one key is allowed.
	Outputs map[string]*ExplanationMetadata_OutputMetadata `protobuf:"bytes,2,rep,name=outputs,proto3" json:"outputs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Points to a YAML file stored on Google Cloud Storage describing the format
	// of the [feature
	// attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML tabular Models always have this field populated by Vertex AI.
	// Note: The URI given on output may be different, including the URI scheme,
	// than the one given on input. The output URI will point to a location where
	// the user only has a read access.
	FeatureAttributionsSchemaUri string `protobuf:"bytes,3,opt,name=feature_attributions_schema_uri,json=featureAttributionsSchemaUri,proto3" json:"feature_attributions_schema_uri,omitempty"`
	// Name of the source to generate embeddings for example based explanations.
	LatentSpaceSource string `protobuf:"bytes,5,opt,name=latent_space_source,json=latentSpaceSource,proto3" json:"latent_space_source,omitempty"`
	// contains filtered or unexported fields
}

Metadata describing the Model's input and output for explanation.

func (*ExplanationMetadata) Descriptor 

func (*ExplanationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata) GetFeatureAttributionsSchemaUri 

func (x *ExplanationMetadata) GetFeatureAttributionsSchemaUri() string

func (*ExplanationMetadata) GetInputs 

func (x *ExplanationMetadata) GetInputs() map[string]*ExplanationMetadata_InputMetadata

func (*ExplanationMetadata) GetLatentSpaceSource 

func (x *ExplanationMetadata) GetLatentSpaceSource() string

func (*ExplanationMetadata) GetOutputs 

func (x *ExplanationMetadata) GetOutputs() map[string]*ExplanationMetadata_OutputMetadata

func (*ExplanationMetadata) ProtoMessage 

func (*ExplanationMetadata) ProtoMessage()

func (*ExplanationMetadata) ProtoReflect 

func (x *ExplanationMetadata) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata) Reset 

func (x *ExplanationMetadata) Reset()

func (*ExplanationMetadata) String 

func (x *ExplanationMetadata) String() string

type ExplanationMetadataOverride 

type ExplanationMetadataOverride struct {

	// Required. Overrides the [input
	// metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
	// features. The key is the name of the feature to be overridden. The keys
	// specified here must exist in the input metadata to be overridden. If a
	// feature is not specified here, the corresponding feature's input metadata
	// is not overridden.
	Inputs map[string]*ExplanationMetadataOverride_InputMetadataOverride `protobuf:"bytes,1,rep,name=inputs,proto3" json:"inputs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

The ExplanationMetadata[google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.

func (*ExplanationMetadataOverride) Descriptor 

func (*ExplanationMetadataOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadataOverride.ProtoReflect.Descriptor instead.

func (*ExplanationMetadataOverride) GetInputs 

func (x *ExplanationMetadataOverride) GetInputs() map[string]*ExplanationMetadataOverride_InputMetadataOverride

func (*ExplanationMetadataOverride) ProtoMessage 

func (*ExplanationMetadataOverride) ProtoMessage()

func (*ExplanationMetadataOverride) ProtoReflect 

func (x *ExplanationMetadataOverride) ProtoReflect() protoreflect.Message

func (*ExplanationMetadataOverride) Reset 

func (x *ExplanationMetadataOverride) Reset()

func (*ExplanationMetadataOverride) String 

func (x *ExplanationMetadataOverride) String() string

type ExplanationMetadataOverride_InputMetadataOverride 

type ExplanationMetadataOverride_InputMetadataOverride struct {

	// Baseline inputs for this feature.
	//
	// This overrides the `input_baseline` field of the
	// [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
	// object of the corresponding feature's input metadata. If it's not
	// specified, the original baselines are not overridden.
	InputBaselines []*structpb.Value `protobuf:"bytes,1,rep,name=input_baselines,json=inputBaselines,proto3" json:"input_baselines,omitempty"`
	// contains filtered or unexported fields
}

The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be overridden.

func (*ExplanationMetadataOverride_InputMetadataOverride) Descriptor 

func (*ExplanationMetadataOverride_InputMetadataOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadataOverride_InputMetadataOverride.ProtoReflect.Descriptor instead.

func (*ExplanationMetadataOverride_InputMetadataOverride) GetInputBaselines 

func (x *ExplanationMetadataOverride_InputMetadataOverride) GetInputBaselines() []*structpb.Value

func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoMessage 

func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoMessage()

func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoReflect 

func (x *ExplanationMetadataOverride_InputMetadataOverride) ProtoReflect() protoreflect.Message

func (*ExplanationMetadataOverride_InputMetadataOverride) Reset 

func (x *ExplanationMetadataOverride_InputMetadataOverride) Reset()

func (*ExplanationMetadataOverride_InputMetadataOverride) String 

func (x *ExplanationMetadataOverride_InputMetadataOverride) String() string

type ExplanationMetadata_InputMetadata 

type ExplanationMetadata_InputMetadata struct {

	// Baseline inputs for this feature.
	//
	// If no baseline is specified, Vertex AI chooses the baseline for this
	// feature. If multiple baselines are specified, Vertex AI returns the
	// average attributions across them in
	// [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
	//
	// For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
	// of each baseline must match the shape of the input tensor. If a scalar is
	// provided, we broadcast to the same shape as the input tensor.
	//
	// For custom images, the element of the baselines must be in the same
	// format as the feature's input in the
	// [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
	// schema of any single instance may be specified via Endpoint's
	// DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
	InputBaselines []*structpb.Value `protobuf:"bytes,1,rep,name=input_baselines,json=inputBaselines,proto3" json:"input_baselines,omitempty"`
	// Name of the input tensor for this feature. Required and is only
	// applicable to Vertex AI-provided images for Tensorflow.
	InputTensorName string `protobuf:"bytes,2,opt,name=input_tensor_name,json=inputTensorName,proto3" json:"input_tensor_name,omitempty"`
	// Defines how the feature is encoded into the input tensor. Defaults to
	// IDENTITY.
	Encoding ExplanationMetadata_InputMetadata_Encoding `protobuf:"varint,3,opt,name=encoding,proto3,enum=google.cloud.aiplatform.v1.ExplanationMetadata_InputMetadata_Encoding" json:"encoding,omitempty"`
	// Modality of the feature. Valid values are: numeric, image. Defaults to
	// numeric.
	Modality string `protobuf:"bytes,4,opt,name=modality,proto3" json:"modality,omitempty"`
	// The domain details of the input feature value. Like min/max, original
	// mean or standard deviation if normalized.
	FeatureValueDomain *ExplanationMetadata_InputMetadata_FeatureValueDomain `protobuf:"bytes,5,opt,name=feature_value_domain,json=featureValueDomain,proto3" json:"feature_value_domain,omitempty"`
	// Specifies the index of the values of the input tensor.
	// Required when the input tensor is a sparse representation. Refer to
	// Tensorflow documentation for more details:
	// https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor.
	IndicesTensorName string `protobuf:"bytes,6,opt,name=indices_tensor_name,json=indicesTensorName,proto3" json:"indices_tensor_name,omitempty"`
	// Specifies the shape of the values of the input if the input is a sparse
	// representation. Refer to Tensorflow documentation for more details:
	// https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor.
	DenseShapeTensorName string `protobuf:"bytes,7,opt,name=dense_shape_tensor_name,json=denseShapeTensorName,proto3" json:"dense_shape_tensor_name,omitempty"`
	// A list of feature names for each index in the input tensor.
	// Required when the input
	// [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
	// is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
	IndexFeatureMapping []string `protobuf:"bytes,8,rep,name=index_feature_mapping,json=indexFeatureMapping,proto3" json:"index_feature_mapping,omitempty"`
	// Encoded tensor is a transformation of the input tensor. Must be provided
	// if choosing
	// [Integrated Gradients
	// attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
	// or [XRAI
	// attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
	// and the input tensor is not differentiable.
	//
	// An encoded tensor is generated if the input tensor is encoded by a lookup
	// table.
	EncodedTensorName string `protobuf:"bytes,9,opt,name=encoded_tensor_name,json=encodedTensorName,proto3" json:"encoded_tensor_name,omitempty"`
	// A list of baselines for the encoded tensor.
	//
	// The shape of each baseline should match the shape of the encoded tensor.
	// If a scalar is provided, Vertex AI broadcasts to the same shape as the
	// encoded tensor.
	EncodedBaselines []*structpb.Value `protobuf:"bytes,10,rep,name=encoded_baselines,json=encodedBaselines,proto3" json:"encoded_baselines,omitempty"`
	// Visualization configurations for image explanation.
	Visualization *ExplanationMetadata_InputMetadata_Visualization `protobuf:"bytes,11,opt,name=visualization,proto3" json:"visualization,omitempty"`
	// Name of the group that the input belongs to. Features with the same group
	// name will be treated as one feature when computing attributions. Features
	// grouped together can have different shapes in value. If provided, there
	// will be one single attribution generated in
	// [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
	// keyed by the group name.
	GroupName string `protobuf:"bytes,12,opt,name=group_name,json=groupName,proto3" json:"group_name,omitempty"`
	// contains filtered or unexported fields
}

Metadata of the input of a feature.

Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only for Models that are using Vertex AI-provided images for Tensorflow.

func (*ExplanationMetadata_InputMetadata) Descriptor 

func (*ExplanationMetadata_InputMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_InputMetadata) GetDenseShapeTensorName 

func (x *ExplanationMetadata_InputMetadata) GetDenseShapeTensorName() string

func (*ExplanationMetadata_InputMetadata) GetEncodedBaselines 

func (x *ExplanationMetadata_InputMetadata) GetEncodedBaselines() []*structpb.Value

func (*ExplanationMetadata_InputMetadata) GetEncodedTensorName 

func (x *ExplanationMetadata_InputMetadata) GetEncodedTensorName() string

func (*ExplanationMetadata_InputMetadata) GetEncoding 

func (x *ExplanationMetadata_InputMetadata) GetEncoding() ExplanationMetadata_InputMetadata_Encoding

func (*ExplanationMetadata_InputMetadata) GetFeatureValueDomain 

func (x *ExplanationMetadata_InputMetadata) GetFeatureValueDomain() *ExplanationMetadata_InputMetadata_FeatureValueDomain

func (*ExplanationMetadata_InputMetadata) GetGroupName 

func (x *ExplanationMetadata_InputMetadata) GetGroupName() string

func (*ExplanationMetadata_InputMetadata) GetIndexFeatureMapping 

func (x *ExplanationMetadata_InputMetadata) GetIndexFeatureMapping() []string

func (*ExplanationMetadata_InputMetadata) GetIndicesTensorName 

func (x *ExplanationMetadata_InputMetadata) GetIndicesTensorName() string

func (*ExplanationMetadata_InputMetadata) GetInputBaselines 

func (x *ExplanationMetadata_InputMetadata) GetInputBaselines() []*structpb.Value

func (*ExplanationMetadata_InputMetadata) GetInputTensorName 

func (x *ExplanationMetadata_InputMetadata) GetInputTensorName() string

func (*ExplanationMetadata_InputMetadata) GetModality 

func (x *ExplanationMetadata_InputMetadata) GetModality() string

func (*ExplanationMetadata_InputMetadata) GetVisualization 

func (x *ExplanationMetadata_InputMetadata) GetVisualization() *ExplanationMetadata_InputMetadata_Visualization

func (*ExplanationMetadata_InputMetadata) ProtoMessage 

func (*ExplanationMetadata_InputMetadata) ProtoMessage()

func (*ExplanationMetadata_InputMetadata) ProtoReflect 

func (x *ExplanationMetadata_InputMetadata) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_InputMetadata) Reset 

func (x *ExplanationMetadata_InputMetadata) Reset()

func (*ExplanationMetadata_InputMetadata) String 

func (x *ExplanationMetadata_InputMetadata) String() string

type ExplanationMetadata_InputMetadata_Encoding 

type ExplanationMetadata_InputMetadata_Encoding int32

Defines how a feature is encoded. Defaults to IDENTITY. 

const (
	// Default value. This is the same as IDENTITY.
	ExplanationMetadata_InputMetadata_ENCODING_UNSPECIFIED ExplanationMetadata_InputMetadata_Encoding = 0
	// The tensor represents one feature.
	ExplanationMetadata_InputMetadata_IDENTITY ExplanationMetadata_InputMetadata_Encoding = 1
	// The tensor represents a bag of features where each index maps to
	// a feature.
	// [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
	// must be provided for this encoding. For example:
	// ```
	// input = [27, 6.0, 150]
	// index_feature_mapping = ["age", "height", "weight"]
	// ```
	ExplanationMetadata_InputMetadata_BAG_OF_FEATURES ExplanationMetadata_InputMetadata_Encoding = 2
	// The tensor represents a bag of features where each index maps to a
	// feature. Zero values in the tensor indicates feature being
	// non-existent.
	// [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
	// must be provided for this encoding. For example:
	// ```
	// input = [2, 0, 5, 0, 1]
	// index_feature_mapping = ["a", "b", "c", "d", "e"]
	// ```
	ExplanationMetadata_InputMetadata_BAG_OF_FEATURES_SPARSE ExplanationMetadata_InputMetadata_Encoding = 3
	// The tensor is a list of binaries representing whether a feature exists
	// or not (1 indicates existence).
	// [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
	// must be provided for this encoding. For example:
	// ```
	// input = [1, 0, 1, 0, 1]
	// index_feature_mapping = ["a", "b", "c", "d", "e"]
	// ```
	ExplanationMetadata_InputMetadata_INDICATOR ExplanationMetadata_InputMetadata_Encoding = 4
	// The tensor is encoded into a 1-dimensional array represented by an
	// encoded tensor.
	// [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
	// must be provided for this encoding. For example:
	// ```
	// input = ["This", "is", "a", "test", "."]
	// encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
	// ```
	ExplanationMetadata_InputMetadata_COMBINED_EMBEDDING ExplanationMetadata_InputMetadata_Encoding = 5
	// Select this encoding when the input tensor is encoded into a
	// 2-dimensional array represented by an encoded tensor.
	// [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
	// must be provided for this encoding. The first dimension of the encoded
	// tensor's shape is the same as the input tensor's shape. For example:
	// ```
	// input = ["This", "is", "a", "test", "."]
	// encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
	//
	//	[0.2, 0.1, 0.4, 0.3, 0.5],
	//	[0.5, 0.1, 0.3, 0.5, 0.4],
	//	[0.5, 0.3, 0.1, 0.2, 0.4],
	//	[0.4, 0.3, 0.2, 0.5, 0.1]]
	//
	// ```
	ExplanationMetadata_InputMetadata_CONCAT_EMBEDDING ExplanationMetadata_InputMetadata_Encoding = 6
)

func (ExplanationMetadata_InputMetadata_Encoding) Descriptor 

func (ExplanationMetadata_InputMetadata_Encoding) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Encoding) Enum 

func (x ExplanationMetadata_InputMetadata_Encoding) Enum() *ExplanationMetadata_InputMetadata_Encoding

func (ExplanationMetadata_InputMetadata_Encoding) EnumDescriptor 

func (ExplanationMetadata_InputMetadata_Encoding) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Encoding.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Encoding) Number 

func (x ExplanationMetadata_InputMetadata_Encoding) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Encoding) String 

func (x ExplanationMetadata_InputMetadata_Encoding) String() string

func (ExplanationMetadata_InputMetadata_Encoding) Type 

func (ExplanationMetadata_InputMetadata_Encoding) Type() protoreflect.EnumType

type ExplanationMetadata_InputMetadata_FeatureValueDomain 

type ExplanationMetadata_InputMetadata_FeatureValueDomain struct {

	// The minimum permissible value for this feature.
	MinValue float32 `protobuf:"fixed32,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	// The maximum permissible value for this feature.
	MaxValue float32 `protobuf:"fixed32,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	// If this input feature has been normalized to a mean value of 0,
	// the original_mean specifies the mean value of the domain prior to
	// normalization.
	OriginalMean float32 `protobuf:"fixed32,3,opt,name=original_mean,json=originalMean,proto3" json:"original_mean,omitempty"`
	// If this input feature has been normalized to a standard deviation of
	// 1.0, the original_stddev specifies the standard deviation of the domain
	// prior to normalization.
	OriginalStddev float32 `protobuf:"fixed32,4,opt,name=original_stddev,json=originalStddev,proto3" json:"original_stddev,omitempty"`
	// contains filtered or unexported fields
}

Domain details of the input feature value. Provides numeric information about the feature, such as its range (min, max). If the feature has been pre-processed, for example with z-scoring, then it provides information about how to recover the original feature. For example, if the input feature is an image and it has been pre-processed to obtain 0-mean and stddev = 1 values, then original_mean, and original_stddev refer to the mean and stddev of the original feature (e.g. image tensor) from which input feature (with mean = 0 and stddev = 1) was obtained.

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Descriptor 

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_FeatureValueDomain.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMaxValue 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMaxValue() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMinValue 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMinValue() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalMean 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalMean() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalStddev 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalStddev() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoMessage 

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoMessage()

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoReflect 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Reset 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) Reset()

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) String 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) String() string

type ExplanationMetadata_InputMetadata_Visualization 

type ExplanationMetadata_InputMetadata_Visualization struct {

	// Type of the image visualization. Only applicable to
	// [Integrated Gradients
	// attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
	// OUTLINES shows regions of attribution, while PIXELS shows per-pixel
	// attribution. Defaults to OUTLINES.
	Type ExplanationMetadata_InputMetadata_Visualization_Type `protobuf:"varint,1,opt,name=type,proto3,enum=google.cloud.aiplatform.v1.ExplanationMetadata_InputMetadata_Visualization_Type" json:"type,omitempty"`
	// Whether to only highlight pixels with positive contributions, negative
	// or both. Defaults to POSITIVE.
	Polarity ExplanationMetadata_InputMetadata_Visualization_Polarity `protobuf:"varint,2,opt,name=polarity,proto3,enum=google.cloud.aiplatform.v1.ExplanationMetadata_InputMetadata_Visualization_Polarity" json:"polarity,omitempty"`
	// The color scheme used for the highlighted areas.
	//
	// Defaults to PINK_GREEN for
	// [Integrated Gradients
	// attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
	// which shows positive attributions in green and negative in pink.
	//
	// Defaults to VIRIDIS for
	// [XRAI
	// attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
	// which highlights the most influential regions in yellow and the least
	// influential in blue.
	ColorMap ExplanationMetadata_InputMetadata_Visualization_ColorMap `protobuf:"varint,3,opt,name=color_map,json=colorMap,proto3,enum=google.cloud.aiplatform.v1.ExplanationMetadata_InputMetadata_Visualization_ColorMap" json:"color_map,omitempty"`
	// Excludes attributions above the specified percentile from the
	// highlighted areas. Using the clip_percent_upperbound and
	// clip_percent_lowerbound together can be useful for filtering out noise
	// and making it easier to see areas of strong attribution. Defaults to
	// 99.9.
	ClipPercentUpperbound float32 `protobuf:"fixed32,4,opt,name=clip_percent_upperbound,json=clipPercentUpperbound,proto3" json:"clip_percent_upperbound,omitempty"`
	// Excludes attributions below the specified percentile, from the
	// highlighted areas. Defaults to 62.
	ClipPercentLowerbound float32 `protobuf:"fixed32,5,opt,name=clip_percent_lowerbound,json=clipPercentLowerbound,proto3" json:"clip_percent_lowerbound,omitempty"`
	// How the original image is displayed in the visualization.
	// Adjusting the overlay can help increase visual clarity if the original
	// image makes it difficult to view the visualization. Defaults to NONE.
	OverlayType ExplanationMetadata_InputMetadata_Visualization_OverlayType `protobuf:"varint,6,opt,name=overlay_type,json=overlayType,proto3,enum=google.cloud.aiplatform.v1.ExplanationMetadata_InputMetadata_Visualization_OverlayType" json:"overlay_type,omitempty"`
	// contains filtered or unexported fields
}

Visualization configurations for image explanation.

func (*ExplanationMetadata_InputMetadata_Visualization) Descriptor 

func (*ExplanationMetadata_InputMetadata_Visualization) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_InputMetadata_Visualization) GetClipPercentLowerbound 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetClipPercentLowerbound() float32

func (*ExplanationMetadata_InputMetadata_Visualization) GetClipPercentUpperbound 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetClipPercentUpperbound() float32

func (*ExplanationMetadata_InputMetadata_Visualization) GetColorMap 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetColorMap() ExplanationMetadata_InputMetadata_Visualization_ColorMap

func (*ExplanationMetadata_InputMetadata_Visualization) GetOverlayType 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetOverlayType() ExplanationMetadata_InputMetadata_Visualization_OverlayType

func (*ExplanationMetadata_InputMetadata_Visualization) GetPolarity 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetPolarity() ExplanationMetadata_InputMetadata_Visualization_Polarity

func (*ExplanationMetadata_InputMetadata_Visualization) GetType 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetType() ExplanationMetadata_InputMetadata_Visualization_Type

func (*ExplanationMetadata_InputMetadata_Visualization) ProtoMessage 

func (*ExplanationMetadata_InputMetadata_Visualization) ProtoMessage()

func (*ExplanationMetadata_InputMetadata_Visualization) ProtoReflect 

func (x *ExplanationMetadata_InputMetadata_Visualization) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_InputMetadata_Visualization) Reset 

func (x *ExplanationMetadata_InputMetadata_Visualization) Reset()

func (*ExplanationMetadata_InputMetadata_Visualization) String 

func (x *ExplanationMetadata_InputMetadata_Visualization) String() string

type ExplanationMetadata_InputMetadata_Visualization_ColorMap 

type ExplanationMetadata_InputMetadata_Visualization_ColorMap int32

The color scheme used for highlighting areas. 

const (
	// Should not be used.
	ExplanationMetadata_InputMetadata_Visualization_COLOR_MAP_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_ColorMap = 0
	// Positive: green. Negative: pink.
	ExplanationMetadata_InputMetadata_Visualization_PINK_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 1
	// Viridis color map: A perceptually uniform color mapping which is
	// easier to see by those with colorblindness and progresses from yellow
	// to green to blue. Positive: yellow. Negative: blue.
	ExplanationMetadata_InputMetadata_Visualization_VIRIDIS ExplanationMetadata_InputMetadata_Visualization_ColorMap = 2
	// Positive: red. Negative: red.
	ExplanationMetadata_InputMetadata_Visualization_RED ExplanationMetadata_InputMetadata_Visualization_ColorMap = 3
	// Positive: green. Negative: green.
	ExplanationMetadata_InputMetadata_Visualization_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 4
	// Positive: green. Negative: red.
	ExplanationMetadata_InputMetadata_Visualization_RED_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 6
	// PiYG palette.
	ExplanationMetadata_InputMetadata_Visualization_PINK_WHITE_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 5
)

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Descriptor 

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Enum 

func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) Enum() *ExplanationMetadata_InputMetadata_Visualization_ColorMap

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) EnumDescriptor 

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_ColorMap.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Number 

func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) String 

func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) String() string

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Type 

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Type() protoreflect.EnumType

type ExplanationMetadata_InputMetadata_Visualization_OverlayType 

type ExplanationMetadata_InputMetadata_Visualization_OverlayType int32

How the original image is displayed in the visualization. 

const (
	// Default value. This is the same as NONE.
	ExplanationMetadata_InputMetadata_Visualization_OVERLAY_TYPE_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_OverlayType = 0
	// No overlay.
	ExplanationMetadata_InputMetadata_Visualization_NONE ExplanationMetadata_InputMetadata_Visualization_OverlayType = 1
	// The attributions are shown on top of the original image.
	ExplanationMetadata_InputMetadata_Visualization_ORIGINAL ExplanationMetadata_InputMetadata_Visualization_OverlayType = 2
	// The attributions are shown on top of grayscaled version of the
	// original image.
	ExplanationMetadata_InputMetadata_Visualization_GRAYSCALE ExplanationMetadata_InputMetadata_Visualization_OverlayType = 3
	// The attributions are used as a mask to reveal predictive parts of
	// the image and hide the un-predictive parts.
	ExplanationMetadata_InputMetadata_Visualization_MASK_BLACK ExplanationMetadata_InputMetadata_Visualization_OverlayType = 4
)

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Descriptor 

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Enum 

func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) Enum() *ExplanationMetadata_InputMetadata_Visualization_OverlayType

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) EnumDescriptor 

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_OverlayType.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Number 

func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) String 

func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) String() string

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Type 

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Type() protoreflect.EnumType

type ExplanationMetadata_InputMetadata_Visualization_Polarity 

type ExplanationMetadata_InputMetadata_Visualization_Polarity int32

Whether to only highlight pixels with positive contributions, negative or both. Defaults to POSITIVE. 

const (
	// Default value. This is the same as POSITIVE.
	ExplanationMetadata_InputMetadata_Visualization_POLARITY_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_Polarity = 0
	// Highlights the pixels/outlines that were most influential to the
	// model's prediction.
	ExplanationMetadata_InputMetadata_Visualization_POSITIVE ExplanationMetadata_InputMetadata_Visualization_Polarity = 1
	// Setting polarity to negative highlights areas that does not lead to
	// the models's current prediction.
	ExplanationMetadata_InputMetadata_Visualization_NEGATIVE ExplanationMetadata_InputMetadata_Visualization_Polarity = 2
	// Shows both positive and negative attributions.
	ExplanationMetadata_InputMetadata_Visualization_BOTH ExplanationMetadata_InputMetadata_Visualization_Polarity = 3
)

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Descriptor 

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Enum 

func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) Enum() *ExplanationMetadata_InputMetadata_Visualization_Polarity

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) EnumDescriptor 

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_Polarity.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Number 

func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) String 

func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) String() string

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Type 

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Type() protoreflect.EnumType

type ExplanationMetadata_InputMetadata_Visualization_Type 

type ExplanationMetadata_InputMetadata_Visualization_Type int32

Type of the image visualization. Only applicable to [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]. 

const (
	// Should not be used.
	ExplanationMetadata_InputMetadata_Visualization_TYPE_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_Type = 0
	// Shows which pixel contributed to the image prediction.
	ExplanationMetadata_InputMetadata_Visualization_PIXELS ExplanationMetadata_InputMetadata_Visualization_Type = 1
	// Shows which region contributed to the image prediction by outlining
	// the region.
	ExplanationMetadata_InputMetadata_Visualization_OUTLINES ExplanationMetadata_InputMetadata_Visualization_Type = 2
)

func (ExplanationMetadata_InputMetadata_Visualization_Type) Descriptor 

func (ExplanationMetadata_InputMetadata_Visualization_Type) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_Type) Enum 

func (x ExplanationMetadata_InputMetadata_Visualization_Type) Enum() *ExplanationMetadata_InputMetadata_Visualization_Type

func (ExplanationMetadata_InputMetadata_Visualization_Type) EnumDescriptor 

func (ExplanationMetadata_InputMetadata_Visualization_Type) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_Type.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_Type) Number 

func (x ExplanationMetadata_InputMetadata_Visualization_Type) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_Type) String 

func (x ExplanationMetadata_InputMetadata_Visualization_Type) String() string

func (ExplanationMetadata_InputMetadata_Visualization_Type) Type 

func (ExplanationMetadata_InputMetadata_Visualization_Type) Type() protoreflect.EnumType

type ExplanationMetadata_OutputMetadata 

type ExplanationMetadata_OutputMetadata struct {

	// Defines how to map
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// to
	// [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name].
	//
	// If neither of the fields are specified,
	// [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
	// will not be populated.
	//
	// Types that are assignable to DisplayNameMapping:
	//
	//	*ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping
	//	*ExplanationMetadata_OutputMetadata_DisplayNameMappingKey
	DisplayNameMapping isExplanationMetadata_OutputMetadata_DisplayNameMapping `protobuf_oneof:"display_name_mapping"`
	// Name of the output tensor. Required and is only applicable to Vertex
	// AI provided images for Tensorflow.
	OutputTensorName string `protobuf:"bytes,3,opt,name=output_tensor_name,json=outputTensorName,proto3" json:"output_tensor_name,omitempty"`
	// contains filtered or unexported fields
}

Metadata of the prediction output to be explained.

func (*ExplanationMetadata_OutputMetadata) Descriptor 

func (*ExplanationMetadata_OutputMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_OutputMetadata.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_OutputMetadata) GetDisplayNameMapping 

func (m *ExplanationMetadata_OutputMetadata) GetDisplayNameMapping() isExplanationMetadata_OutputMetadata_DisplayNameMapping

func (*ExplanationMetadata_OutputMetadata) GetDisplayNameMappingKey 

func (x *ExplanationMetadata_OutputMetadata) GetDisplayNameMappingKey() string

func (*ExplanationMetadata_OutputMetadata) GetIndexDisplayNameMapping 

func (x *ExplanationMetadata_OutputMetadata) GetIndexDisplayNameMapping() *structpb.Value

func (*ExplanationMetadata_OutputMetadata) GetOutputTensorName 

func (x *ExplanationMetadata_OutputMetadata) GetOutputTensorName() string

func (*ExplanationMetadata_OutputMetadata) ProtoMessage 

func (*ExplanationMetadata_OutputMetadata) ProtoMessage()

func (*ExplanationMetadata_OutputMetadata) ProtoReflect 

func (x *ExplanationMetadata_OutputMetadata) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_OutputMetadata) Reset 

func (x *ExplanationMetadata_OutputMetadata) Reset()

func (*ExplanationMetadata_OutputMetadata) String 

func (x *ExplanationMetadata_OutputMetadata) String() string

type ExplanationMetadata_OutputMetadata_DisplayNameMappingKey 

type ExplanationMetadata_OutputMetadata_DisplayNameMappingKey struct {
	// Specify a field name in the prediction to look for the display name.
	//
	// Use this if the prediction contains the display names for the outputs.
	//
	// The display names in the prediction must have the same shape of the
	// outputs, so that it can be located by
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// for a specific output.
	DisplayNameMappingKey string `protobuf:"bytes,2,opt,name=display_name_mapping_key,json=displayNameMappingKey,proto3,oneof"`
}

type ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping 

type ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping struct {
	// Static mapping between the index and display name.
	//
	// Use this if the outputs are a deterministic n-dimensional array, e.g. a
	// list of scores of all the classes in a pre-defined order for a
	// multi-classification Model. It's not feasible if the outputs are
	// non-deterministic, e.g. the Model produces top-k classes or sort the
	// outputs by their values.
	//
	// The shape of the value must be an n-dimensional array of strings. The
	// number of dimensions must match that of the outputs to be explained.
	// The
	// [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
	// is populated by locating in the mapping with
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
	IndexDisplayNameMapping *structpb.Value `protobuf:"bytes,1,opt,name=index_display_name_mapping,json=indexDisplayNameMapping,proto3,oneof"`
}

type ExplanationParameters 

type ExplanationParameters struct {

	// Types that are assignable to Method:
	//
	//	*ExplanationParameters_SampledShapleyAttribution
	//	*ExplanationParameters_IntegratedGradientsAttribution
	//	*ExplanationParameters_XraiAttribution
	//	*ExplanationParameters_Examples
	Method isExplanationParameters_Method `protobuf_oneof:"method"`
	// If populated, returns attributions for top K indices of outputs
	// (defaults to 1). Only applies to Models that predicts more than one outputs
	// (e,g, multi-class Models). When set to -1, returns explanations for all
	// outputs.
	TopK int32 `protobuf:"varint,4,opt,name=top_k,json=topK,proto3" json:"top_k,omitempty"`
	// If populated, only returns attributions that have
	// [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// contained in output_indices. It must be an ndarray of integers, with the
	// same shape of the output it's explaining.
	//
	// If not populated, returns attributions for
	// [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
	// outputs. If neither top_k nor output_indices is populated, returns the
	// argmax index of the outputs.
	//
	// Only applicable to Models that predict multiple outputs (e,g, multi-class
	// Models that predict multiple classes).
	OutputIndices *structpb.ListValue `protobuf:"bytes,5,opt,name=output_indices,json=outputIndices,proto3" json:"output_indices,omitempty"`
	// contains filtered or unexported fields
}

Parameters to configure explaining for Model's predictions.

func (*ExplanationParameters) Descriptor 

func (*ExplanationParameters) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationParameters.ProtoReflect.Descriptor instead.

func (*ExplanationParameters) GetExamples 

func (x *ExplanationParameters) GetExamples() *Examples

func (*ExplanationParameters) GetIntegratedGradientsAttribution 

func (x *ExplanationParameters) GetIntegratedGradientsAttribution() *IntegratedGradientsAttribution

func (*ExplanationParameters) GetMethod 

func (m *ExplanationParameters) GetMethod() isExplanationParameters_Method

func (*ExplanationParameters) GetOutputIndices 

func (x *ExplanationParameters) GetOutputIndices() *structpb.ListValue

func (*ExplanationParameters) GetSampledShapleyAttribution 

func (x *ExplanationParameters) GetSampledShapleyAttribution() *SampledShapleyAttribution

func (*ExplanationParameters) GetTopK 

func (x *ExplanationParameters) GetTopK() int32

func (*ExplanationParameters) GetXraiAttribution 

func (x *ExplanationParameters) GetXraiAttribution() *XraiAttribution

func (*ExplanationParameters) ProtoMessage 

func (*ExplanationParameters) ProtoMessage()

func (*ExplanationParameters) ProtoReflect 

func (x *ExplanationParameters) ProtoReflect() protoreflect.Message

func (*ExplanationParameters) Reset 

func (x *ExplanationParameters) Reset()

func (*ExplanationParameters) String 

func (x *ExplanationParameters) String() string

type ExplanationParameters_Examples 

type ExplanationParameters_Examples struct {
	// Example-based explanations that returns the nearest neighbors from the
	// provided dataset.
	Examples *Examples `protobuf:"bytes,7,opt,name=examples,proto3,oneof"`
}

type ExplanationParameters_IntegratedGradientsAttribution 

type ExplanationParameters_IntegratedGradientsAttribution struct {
	// An attribution method that computes Aumann-Shapley values taking
	// advantage of the model's fully differentiable structure. Refer to this
	// paper for more details: https://arxiv.org/abs/1703.01365
	IntegratedGradientsAttribution *IntegratedGradientsAttribution `protobuf:"bytes,2,opt,name=integrated_gradients_attribution,json=integratedGradientsAttribution,proto3,oneof"`
}

type ExplanationParameters_SampledShapleyAttribution 

type ExplanationParameters_SampledShapleyAttribution struct {
	// An attribution method that approximates Shapley values for features that
	// contribute to the label being predicted. A sampling strategy is used to
	// approximate the value rather than considering all subsets of features.
	// Refer to this paper for model details: https://arxiv.org/abs/1306.4265.
	SampledShapleyAttribution *SampledShapleyAttribution `protobuf:"bytes,1,opt,name=sampled_shapley_attribution,json=sampledShapleyAttribution,proto3,oneof"`
}

type ExplanationParameters_XraiAttribution 

type ExplanationParameters_XraiAttribution struct {
	// An attribution method that redistributes Integrated Gradients
	// attribution to segmented regions, taking advantage of the model's fully
	// differentiable structure. Refer to this paper for
	// more details: https://arxiv.org/abs/1906.02825
	//
	// XRAI currently performs better on natural images, like a picture of a
	// house or an animal. If the images are taken in artificial environments,
	// like a lab or manufacturing line, or from diagnostic equipment, like
	// x-rays or quality-control cameras, use Integrated Gradients instead.
	XraiAttribution *XraiAttribution `protobuf:"bytes,3,opt,name=xrai_attribution,json=xraiAttribution,proto3,oneof"`
}

type ExplanationSpec 

type ExplanationSpec struct {

	// Required. Parameters that configure explaining of the Model's predictions.
	Parameters *ExplanationParameters `protobuf:"bytes,1,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// Optional. Metadata describing the Model's input and output for explanation.
	Metadata *ExplanationMetadata `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

Specification of Model explanation.

func (*ExplanationSpec) Descriptor 

func (*ExplanationSpec) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationSpec.ProtoReflect.Descriptor instead.

func (*ExplanationSpec) GetMetadata 

func (x *ExplanationSpec) GetMetadata() *ExplanationMetadata

func (*ExplanationSpec) GetParameters 

func (x *ExplanationSpec) GetParameters() *ExplanationParameters

func (*ExplanationSpec) ProtoMessage 

func (*ExplanationSpec) ProtoMessage()

func (*ExplanationSpec) ProtoReflect 

func (x *ExplanationSpec) ProtoReflect() protoreflect.Message

func (*ExplanationSpec) Reset 

func (x *ExplanationSpec) Reset()

func (*ExplanationSpec) String 

func (x *ExplanationSpec) String() string

type ExplanationSpecOverride 

type ExplanationSpecOverride struct {

	// The parameters to be overridden. Note that the
	// attribution method cannot be changed. If not specified,
	// no parameter is overridden.
	Parameters *ExplanationParameters `protobuf:"bytes,1,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// The metadata to be overridden. If not specified, no metadata is overridden.
	Metadata *ExplanationMetadataOverride `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// The example-based explanations parameter overrides.
	ExamplesOverride *ExamplesOverride `protobuf:"bytes,3,opt,name=examples_override,json=examplesOverride,proto3" json:"examples_override,omitempty"`
	// contains filtered or unexported fields
}

The ExplanationSpec[google.cloud.aiplatform.v1.ExplanationSpec] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.

func (*ExplanationSpecOverride) Descriptor 

func (*ExplanationSpecOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationSpecOverride.ProtoReflect.Descriptor instead.

func (*ExplanationSpecOverride) GetExamplesOverride 

func (x *ExplanationSpecOverride) GetExamplesOverride() *ExamplesOverride

func (*ExplanationSpecOverride) GetMetadata 

func (x *ExplanationSpecOverride) GetMetadata() *ExplanationMetadataOverride

func (*ExplanationSpecOverride) GetParameters 

func (x *ExplanationSpecOverride) GetParameters() *ExplanationParameters

func (*ExplanationSpecOverride) ProtoMessage 

func (*ExplanationSpecOverride) ProtoMessage()

func (*ExplanationSpecOverride) ProtoReflect 

func (x *ExplanationSpecOverride) ProtoReflect() protoreflect.Message

func (*ExplanationSpecOverride) Reset 

func (x *ExplanationSpecOverride) Reset()

func (*ExplanationSpecOverride) String 

func (x *ExplanationSpecOverride) String() string

type ExportDataConfig 

type ExportDataConfig struct {

	// The destination of the output.
	//
	// Types that are assignable to Destination:
	//
	//	*ExportDataConfig_GcsDestination
	Destination isExportDataConfig_Destination `protobuf_oneof:"destination"`
	// The instructions how the export data should be split between the
	// training, validation and test sets.
	//
	// Types that are assignable to Split:
	//
	//	*ExportDataConfig_FractionSplit
	//	*ExportDataConfig_FilterSplit
	Split isExportDataConfig_Split `protobuf_oneof:"split"`
	// An expression for filtering what part of the Dataset is to be exported.
	// Only Annotations that match this filter will be exported. The filter syntax
	// is the same as in
	// [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
	AnnotationsFilter string `protobuf:"bytes,2,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
	// The ID of a SavedQuery (annotation set) under the Dataset specified by
	// [ExportDataRequest.name][google.cloud.aiplatform.v1.ExportDataRequest.name]
	// used for filtering Annotations for training.
	//
	// Only used for custom training data export use cases.
	// Only applicable to Datasets that have SavedQueries.
	//
	// Only Annotations that are associated with this SavedQuery are used in
	// respectively training. When used in conjunction with
	// [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter],
	// the Annotations used for training are filtered by both
	// [saved_query_id][google.cloud.aiplatform.v1.ExportDataConfig.saved_query_id]
	// and
	// [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter].
	//
	// Only one of
	// [saved_query_id][google.cloud.aiplatform.v1.ExportDataConfig.saved_query_id]
	// and
	// [annotation_schema_uri][google.cloud.aiplatform.v1.ExportDataConfig.annotation_schema_uri]
	// should be specified as both of them represent the same thing: problem type.
	SavedQueryId string `protobuf:"bytes,11,opt,name=saved_query_id,json=savedQueryId,proto3" json:"saved_query_id,omitempty"`
	// The Cloud Storage URI that points to a YAML file describing the annotation
	// schema. The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// The schema files that can be used here are found in
	// gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
	// chosen schema must be consistent with
	// [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
	// Dataset specified by
	// [ExportDataRequest.name][google.cloud.aiplatform.v1.ExportDataRequest.name].
	//
	// Only used for custom training data export use cases.
	// Only applicable to Datasets that have DataItems and Annotations.
	//
	// Only Annotations that both match this schema and belong to DataItems not
	// ignored by the split method are used in respectively training, validation
	// or test role, depending on the role of the DataItem they are on.
	//
	// When used in conjunction with
	// [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter],
	// the Annotations used for training are filtered by both
	// [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter]
	// and
	// [annotation_schema_uri][google.cloud.aiplatform.v1.ExportDataConfig.annotation_schema_uri].
	AnnotationSchemaUri string `protobuf:"bytes,12,opt,name=annotation_schema_uri,json=annotationSchemaUri,proto3" json:"annotation_schema_uri,omitempty"`
	// Indicates the usage of the exported files.
	ExportUse ExportDataConfig_ExportUse `protobuf:"varint,4,opt,name=export_use,json=exportUse,proto3,enum=google.cloud.aiplatform.v1.ExportDataConfig_ExportUse" json:"export_use,omitempty"`
	// contains filtered or unexported fields
}

Describes what part of the Dataset is to be exported, the destination of the export and how to export.

func (*ExportDataConfig) Descriptor 

func (*ExportDataConfig) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataConfig.ProtoReflect.Descriptor instead.

func (*ExportDataConfig) GetAnnotationSchemaUri 

func (x *ExportDataConfig) GetAnnotationSchemaUri() string

func (*ExportDataConfig) GetAnnotationsFilter 

func (x *ExportDataConfig) GetAnnotationsFilter() string

func (*ExportDataConfig) GetDestination 

func (m *ExportDataConfig) GetDestination() isExportDataConfig_Destination

func (*ExportDataConfig) GetExportUse 

func (x *ExportDataConfig) GetExportUse() ExportDataConfig_ExportUse

func (*ExportDataConfig) GetFilterSplit 

func (x *ExportDataConfig) GetFilterSplit() *ExportFilterSplit

func (*ExportDataConfig) GetFractionSplit 

func (x *ExportDataConfig) GetFractionSplit() *ExportFractionSplit

func (*ExportDataConfig) GetGcsDestination 

func (x *ExportDataConfig) GetGcsDestination() *GcsDestination

func (*ExportDataConfig) GetSavedQueryId 

func (x *ExportDataConfig) GetSavedQueryId() string

func (*ExportDataConfig) GetSplit 

func (m *ExportDataConfig) GetSplit() isExportDataConfig_Split

func (*ExportDataConfig) ProtoMessage 

func (*ExportDataConfig) ProtoMessage()

func (*ExportDataConfig) ProtoReflect 

func (x *ExportDataConfig) ProtoReflect() protoreflect.Message

func (*ExportDataConfig) Reset 

func (x *ExportDataConfig) Reset()

func (*ExportDataConfig) String 

func (x *ExportDataConfig) String() string

type ExportDataConfig_ExportUse 

type ExportDataConfig_ExportUse int32

ExportUse indicates the usage of the exported files. It restricts file destination, format, annotations to be exported, whether to allow unannotated data to be exported and whether to clone files to temp Cloud Storage bucket. 

const (
	// Regular user export.
	ExportDataConfig_EXPORT_USE_UNSPECIFIED ExportDataConfig_ExportUse = 0
	// Export for custom code training.
	ExportDataConfig_CUSTOM_CODE_TRAINING ExportDataConfig_ExportUse = 6
)

func (ExportDataConfig_ExportUse) Descriptor 

func (ExportDataConfig_ExportUse) Descriptor() protoreflect.EnumDescriptor

func (ExportDataConfig_ExportUse) Enum 

func (x ExportDataConfig_ExportUse) Enum() *ExportDataConfig_ExportUse

func (ExportDataConfig_ExportUse) EnumDescriptor 

func (ExportDataConfig_ExportUse) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExportDataConfig_ExportUse.Descriptor instead.

func (ExportDataConfig_ExportUse) Number 

func (x ExportDataConfig_ExportUse) Number() protoreflect.EnumNumber

func (ExportDataConfig_ExportUse) String 

func (x ExportDataConfig_ExportUse) String() string

func (ExportDataConfig_ExportUse) Type 

func (ExportDataConfig_ExportUse) Type() protoreflect.EnumType

type ExportDataConfig_FilterSplit 

type ExportDataConfig_FilterSplit struct {
	// Split based on the provided filters for each set.
	FilterSplit *ExportFilterSplit `protobuf:"bytes,7,opt,name=filter_split,json=filterSplit,proto3,oneof"`
}

type ExportDataConfig_FractionSplit 

type ExportDataConfig_FractionSplit struct {
	// Split based on fractions defining the size of each set.
	FractionSplit *ExportFractionSplit `protobuf:"bytes,5,opt,name=fraction_split,json=fractionSplit,proto3,oneof"`
}

type ExportDataConfig_GcsDestination 

type ExportDataConfig_GcsDestination struct {
	// The Google Cloud Storage location where the output is to be written to.
	// In the given directory a new directory will be created with name:
	// `export-data-<dataset-display-name>-<timestamp-of-export-call>` where
	// timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
	// output will be written into that directory. Inside that directory,
	// annotations with the same schema will be grouped into sub directories
	// which are named with the corresponding annotations' schema title. Inside
	// these sub directories, a schema.yaml will be created to describe the
	// output format.
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3,oneof"`
}

type ExportDataOperationMetadata 

type ExportDataOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// A Google Cloud Storage directory which path ends with '/'. The exported
	// data is stored in the directory.
	GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].

func (*ExportDataOperationMetadata) Descriptor 

func (*ExportDataOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataOperationMetadata.ProtoReflect.Descriptor instead.

func (*ExportDataOperationMetadata) GetGcsOutputDirectory 

func (x *ExportDataOperationMetadata) GetGcsOutputDirectory() string

func (*ExportDataOperationMetadata) GetGenericMetadata 

func (x *ExportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ExportDataOperationMetadata) ProtoMessage 

func (*ExportDataOperationMetadata) ProtoMessage()

func (*ExportDataOperationMetadata) ProtoReflect 

func (x *ExportDataOperationMetadata) ProtoReflect() protoreflect.Message

func (*ExportDataOperationMetadata) Reset 

func (x *ExportDataOperationMetadata) Reset()

func (*ExportDataOperationMetadata) String 

func (x *ExportDataOperationMetadata) String() string

type ExportDataRequest 

type ExportDataRequest struct {

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired output location.
	ExportConfig *ExportDataConfig `protobuf:"bytes,2,opt,name=export_config,json=exportConfig,proto3" json:"export_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].

func (*ExportDataRequest) Descriptor 

func (*ExportDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataRequest.ProtoReflect.Descriptor instead.

func (*ExportDataRequest) GetExportConfig 

func (x *ExportDataRequest) GetExportConfig() *ExportDataConfig

func (*ExportDataRequest) GetName 

func (x *ExportDataRequest) GetName() string

func (*ExportDataRequest) ProtoMessage 

func (*ExportDataRequest) ProtoMessage()

func (*ExportDataRequest) ProtoReflect 

func (x *ExportDataRequest) ProtoReflect() protoreflect.Message

func (*ExportDataRequest) Reset 

func (x *ExportDataRequest) Reset()

func (*ExportDataRequest) String 

func (x *ExportDataRequest) String() string

type ExportDataResponse 

type ExportDataResponse struct {

	// All of the files that are exported in this export operation. For custom
	// code training export, only three (training, validation and test)
	// Cloud Storage paths in wildcard format are populated
	// (for example, gs://.../training-*).
	ExportedFiles []string `protobuf:"bytes,1,rep,name=exported_files,json=exportedFiles,proto3" json:"exported_files,omitempty"`
	// Only present for custom code training export use case. Records data stats,
	// i.e., train/validation/test item/annotation counts calculated during
	// the export operation.
	DataStats *Model_DataStats `protobuf:"bytes,2,opt,name=data_stats,json=dataStats,proto3" json:"data_stats,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].

func (*ExportDataResponse) Descriptor 

func (*ExportDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataResponse.ProtoReflect.Descriptor instead.

func (*ExportDataResponse) GetDataStats 

func (x *ExportDataResponse) GetDataStats() *Model_DataStats

func (*ExportDataResponse) GetExportedFiles 

func (x *ExportDataResponse) GetExportedFiles() []string

func (*ExportDataResponse) ProtoMessage 

func (*ExportDataResponse) ProtoMessage()

func (*ExportDataResponse) ProtoReflect 

func (x *ExportDataResponse) ProtoReflect() protoreflect.Message

func (*ExportDataResponse) Reset 

func (x *ExportDataResponse) Reset()

func (*ExportDataResponse) String 

func (x *ExportDataResponse) String() string

type ExportFeatureValuesOperationMetadata 

type ExportFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore export Feature values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that exports Features values.

func (*ExportFeatureValuesOperationMetadata) Descriptor 

func (*ExportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesOperationMetadata) GetGenericMetadata 

func (x *ExportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ExportFeatureValuesOperationMetadata) ProtoMessage 

func (*ExportFeatureValuesOperationMetadata) ProtoMessage()

func (*ExportFeatureValuesOperationMetadata) ProtoReflect 

func (x *ExportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesOperationMetadata) Reset 

func (x *ExportFeatureValuesOperationMetadata) Reset()

func (*ExportFeatureValuesOperationMetadata) String 

func (x *ExportFeatureValuesOperationMetadata) String() string

type ExportFeatureValuesRequest 

type ExportFeatureValuesRequest struct {

	// Required. The mode in which Feature values are exported.
	//
	// Types that are assignable to Mode:
	//
	//	*ExportFeatureValuesRequest_SnapshotExport_
	//	*ExportFeatureValuesRequest_FullExport_
	Mode isExportFeatureValuesRequest_Mode `protobuf_oneof:"mode"`
	// Required. The resource name of the EntityType from which to export Feature
	// values. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. Specifies destination location and format.
	Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
	// Required. Selects Features to export values of.
	FeatureSelector *FeatureSelector `protobuf:"bytes,5,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// Per-Feature export settings.
	Settings []*DestinationFeatureSetting `protobuf:"bytes,6,rep,name=settings,proto3" json:"settings,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].

func (*ExportFeatureValuesRequest) Descriptor 

func (*ExportFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesRequest) GetDestination 

func (x *ExportFeatureValuesRequest) GetDestination() *FeatureValueDestination

func (*ExportFeatureValuesRequest) GetEntityType 

func (x *ExportFeatureValuesRequest) GetEntityType() string

func (*ExportFeatureValuesRequest) GetFeatureSelector 

func (x *ExportFeatureValuesRequest) GetFeatureSelector() *FeatureSelector

func (*ExportFeatureValuesRequest) GetFullExport 

func (x *ExportFeatureValuesRequest) GetFullExport() *ExportFeatureValuesRequest_FullExport

func (*ExportFeatureValuesRequest) GetMode 

func (m *ExportFeatureValuesRequest) GetMode() isExportFeatureValuesRequest_Mode

func (*ExportFeatureValuesRequest) GetSettings 

func (x *ExportFeatureValuesRequest) GetSettings() []*DestinationFeatureSetting

func (*ExportFeatureValuesRequest) GetSnapshotExport 

func (x *ExportFeatureValuesRequest) GetSnapshotExport() *ExportFeatureValuesRequest_SnapshotExport

func (*ExportFeatureValuesRequest) ProtoMessage 

func (*ExportFeatureValuesRequest) ProtoMessage()

func (*ExportFeatureValuesRequest) ProtoReflect 

func (x *ExportFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesRequest) Reset 

func (x *ExportFeatureValuesRequest) Reset()

func (*ExportFeatureValuesRequest) String 

func (x *ExportFeatureValuesRequest) String() string

type ExportFeatureValuesRequest_FullExport 

type ExportFeatureValuesRequest_FullExport struct {

	// Excludes Feature values with feature generation timestamp before this
	// timestamp. If not set, retrieve oldest values kept in Feature Store.
	// Timestamp, if present, must not have higher than millisecond precision.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Exports Feature values as of this timestamp. If not set,
	// retrieve values as of now. Timestamp, if present, must not have higher
	// than millisecond precision.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].

func (*ExportFeatureValuesRequest_FullExport) Descriptor 

func (*ExportFeatureValuesRequest_FullExport) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesRequest_FullExport.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesRequest_FullExport) GetEndTime 

func (x *ExportFeatureValuesRequest_FullExport) GetEndTime() *timestamppb.Timestamp

func (*ExportFeatureValuesRequest_FullExport) GetStartTime 

func (x *ExportFeatureValuesRequest_FullExport) GetStartTime() *timestamppb.Timestamp

func (*ExportFeatureValuesRequest_FullExport) ProtoMessage 

func (*ExportFeatureValuesRequest_FullExport) ProtoMessage()

func (*ExportFeatureValuesRequest_FullExport) ProtoReflect 

func (x *ExportFeatureValuesRequest_FullExport) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesRequest_FullExport) Reset 

func (x *ExportFeatureValuesRequest_FullExport) Reset()

func (*ExportFeatureValuesRequest_FullExport) String 

func (x *ExportFeatureValuesRequest_FullExport) String() string

type ExportFeatureValuesRequest_FullExport_ 

type ExportFeatureValuesRequest_FullExport_ struct {
	// Exports all historical values of all entities of the EntityType within a
	// time range
	FullExport *ExportFeatureValuesRequest_FullExport `protobuf:"bytes,7,opt,name=full_export,json=fullExport,proto3,oneof"`
}

type ExportFeatureValuesRequest_SnapshotExport 

type ExportFeatureValuesRequest_SnapshotExport struct {

	// Exports Feature values as of this timestamp. If not set,
	// retrieve values as of now. Timestamp, if present, must not have higher
	// than millisecond precision.
	SnapshotTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=snapshot_time,json=snapshotTime,proto3" json:"snapshot_time,omitempty"`
	// Excludes Feature values with feature generation timestamp before this
	// timestamp. If not set, retrieve oldest values kept in Feature Store.
	// Timestamp, if present, must not have higher than millisecond precision.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// contains filtered or unexported fields
}

Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].

func (*ExportFeatureValuesRequest_SnapshotExport) Descriptor 

func (*ExportFeatureValuesRequest_SnapshotExport) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesRequest_SnapshotExport.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesRequest_SnapshotExport) GetSnapshotTime 

func (x *ExportFeatureValuesRequest_SnapshotExport) GetSnapshotTime() *timestamppb.Timestamp

func (*ExportFeatureValuesRequest_SnapshotExport) GetStartTime 

func (x *ExportFeatureValuesRequest_SnapshotExport) GetStartTime() *timestamppb.Timestamp

func (*ExportFeatureValuesRequest_SnapshotExport) ProtoMessage 

func (*ExportFeatureValuesRequest_SnapshotExport) ProtoMessage()

func (*ExportFeatureValuesRequest_SnapshotExport) ProtoReflect 

func (x *ExportFeatureValuesRequest_SnapshotExport) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesRequest_SnapshotExport) Reset 

func (x *ExportFeatureValuesRequest_SnapshotExport) Reset()

func (*ExportFeatureValuesRequest_SnapshotExport) String 

func (x *ExportFeatureValuesRequest_SnapshotExport) String() string

type ExportFeatureValuesRequest_SnapshotExport_ 

type ExportFeatureValuesRequest_SnapshotExport_ struct {
	// Exports the latest Feature values of all entities of the EntityType
	// within a time range.
	SnapshotExport *ExportFeatureValuesRequest_SnapshotExport `protobuf:"bytes,3,opt,name=snapshot_export,json=snapshotExport,proto3,oneof"`
}

type ExportFeatureValuesResponse 

type ExportFeatureValuesResponse struct {
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].

func (*ExportFeatureValuesResponse) Descriptor 

func (*ExportFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesResponse) ProtoMessage 

func (*ExportFeatureValuesResponse) ProtoMessage()

func (*ExportFeatureValuesResponse) ProtoReflect 

func (x *ExportFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesResponse) Reset 

func (x *ExportFeatureValuesResponse) Reset()

func (*ExportFeatureValuesResponse) String 

func (x *ExportFeatureValuesResponse) String() string

type ExportFilterSplit 

type ExportFilterSplit struct {

	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to train the Model. A filter with same syntax
	// as the one used in
	// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
	// may be used. If a single DataItem is matched by more than one of the
	// FilterSplit filters, then it is assigned to the first set that applies to
	// it in the training, validation, test order.
	TrainingFilter string `protobuf:"bytes,1,opt,name=training_filter,json=trainingFilter,proto3" json:"training_filter,omitempty"`
	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to validate the Model. A filter with same syntax
	// as the one used in
	// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
	// may be used. If a single DataItem is matched by more than one of the
	// FilterSplit filters, then it is assigned to the first set that applies to
	// it in the training, validation, test order.
	ValidationFilter string `protobuf:"bytes,2,opt,name=validation_filter,json=validationFilter,proto3" json:"validation_filter,omitempty"`
	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to test the Model. A filter with same syntax
	// as the one used in
	// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
	// may be used. If a single DataItem is matched by more than one of the
	// FilterSplit filters, then it is assigned to the first set that applies to
	// it in the training, validation, test order.
	TestFilter string `protobuf:"bytes,3,opt,name=test_filter,json=testFilter,proto3" json:"test_filter,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored. Currently only supported for Datasets containing DataItems. If any of the filters in this message are to match nothing, then they can be set as '-' (the minus sign).

Supported only for unstructured Datasets.

func (*ExportFilterSplit) Descriptor 

func (*ExportFilterSplit) Descriptor() ([]byte, []int)

Deprecated: Use ExportFilterSplit.ProtoReflect.Descriptor instead.

func (*ExportFilterSplit) GetTestFilter 

func (x *ExportFilterSplit) GetTestFilter() string

func (*ExportFilterSplit) GetTrainingFilter 

func (x *ExportFilterSplit) GetTrainingFilter() string

func (*ExportFilterSplit) GetValidationFilter 

func (x *ExportFilterSplit) GetValidationFilter() string

func (*ExportFilterSplit) ProtoMessage 

func (*ExportFilterSplit) ProtoMessage()

func (*ExportFilterSplit) ProtoReflect 

func (x *ExportFilterSplit) ProtoReflect() protoreflect.Message

func (*ExportFilterSplit) Reset 

func (x *ExportFilterSplit) Reset()

func (*ExportFilterSplit) String 

func (x *ExportFilterSplit) String() string

type ExportFractionSplit 

type ExportFractionSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// contains filtered or unexported fields
}

Assigns the input data to training, validation, and test sets as per the given fractions. Any of `training_fraction`, `validation_fraction` and `test_fraction` may optionally be provided, they must sum to up to 1. If the provided ones sum to less than 1, the remainder is assigned to sets as decided by Vertex AI. If none of the fractions are set, by default roughly 80% of data is used for training, 10% for validation, and 10% for test.

func (*ExportFractionSplit) Descriptor 

func (*ExportFractionSplit) Descriptor() ([]byte, []int)

Deprecated: Use ExportFractionSplit.ProtoReflect.Descriptor instead.

func (*ExportFractionSplit) GetTestFraction 

func (x *ExportFractionSplit) GetTestFraction() float64

func (*ExportFractionSplit) GetTrainingFraction 

func (x *ExportFractionSplit) GetTrainingFraction() float64

func (*ExportFractionSplit) GetValidationFraction 

func (x *ExportFractionSplit) GetValidationFraction() float64

func (*ExportFractionSplit) ProtoMessage 

func (*ExportFractionSplit) ProtoMessage()

func (*ExportFractionSplit) ProtoReflect 

func (x *ExportFractionSplit) ProtoReflect() protoreflect.Message

func (*ExportFractionSplit) Reset 

func (x *ExportFractionSplit) Reset()

func (*ExportFractionSplit) String 

func (x *ExportFractionSplit) String() string

type ExportModelOperationMetadata 

type ExportModelOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Output only. Information further describing the output of this Model
	// export.
	OutputInfo *ExportModelOperationMetadata_OutputInfo `protobuf:"bytes,2,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`
	// contains filtered or unexported fields
}

Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.

func (*ExportModelOperationMetadata) Descriptor 

func (*ExportModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*ExportModelOperationMetadata) GetGenericMetadata 

func (x *ExportModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ExportModelOperationMetadata) GetOutputInfo 

func (x *ExportModelOperationMetadata) GetOutputInfo() *ExportModelOperationMetadata_OutputInfo

func (*ExportModelOperationMetadata) ProtoMessage 

func (*ExportModelOperationMetadata) ProtoMessage()

func (*ExportModelOperationMetadata) ProtoReflect 

func (x *ExportModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*ExportModelOperationMetadata) Reset 

func (x *ExportModelOperationMetadata) Reset()

func (*ExportModelOperationMetadata) String 

func (x *ExportModelOperationMetadata) String() string

type ExportModelOperationMetadata_OutputInfo 

type ExportModelOperationMetadata_OutputInfo struct {

	// Output only. If the Model artifact is being exported to Google Cloud
	// Storage this is the full path of the directory created, into which the
	// Model files are being written to.
	ArtifactOutputUri string `protobuf:"bytes,2,opt,name=artifact_output_uri,json=artifactOutputUri,proto3" json:"artifact_output_uri,omitempty"`
	// Output only. If the Model image is being exported to Google Container
	// Registry or Artifact Registry this is the full path of the image created.
	ImageOutputUri string `protobuf:"bytes,3,opt,name=image_output_uri,json=imageOutputUri,proto3" json:"image_output_uri,omitempty"`
	// contains filtered or unexported fields
}

Further describes the output of the ExportModel. Supplements [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig].

func (*ExportModelOperationMetadata_OutputInfo) Descriptor 

func (*ExportModelOperationMetadata_OutputInfo) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelOperationMetadata_OutputInfo.ProtoReflect.Descriptor instead.

func (*ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri 

func (x *ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri() string

func (*ExportModelOperationMetadata_OutputInfo) GetImageOutputUri 

func (x *ExportModelOperationMetadata_OutputInfo) GetImageOutputUri() string

func (*ExportModelOperationMetadata_OutputInfo) ProtoMessage 

func (*ExportModelOperationMetadata_OutputInfo) ProtoMessage()

func (*ExportModelOperationMetadata_OutputInfo) ProtoReflect 

func (x *ExportModelOperationMetadata_OutputInfo) ProtoReflect() protoreflect.Message

func (*ExportModelOperationMetadata_OutputInfo) Reset 

func (x *ExportModelOperationMetadata_OutputInfo) Reset()

func (*ExportModelOperationMetadata_OutputInfo) String 

func (x *ExportModelOperationMetadata_OutputInfo) String() string

type ExportModelRequest 

type ExportModelRequest struct {

	// Required. The resource name of the Model to export.
	// The resource name may contain version id or version alias to specify the
	// version, if no version is specified, the default version will be exported.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired output location and configuration.
	OutputConfig *ExportModelRequest_OutputConfig `protobuf:"bytes,2,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].

func (*ExportModelRequest) Descriptor 

func (*ExportModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelRequest.ProtoReflect.Descriptor instead.

func (*ExportModelRequest) GetName 

func (x *ExportModelRequest) GetName() string

func (*ExportModelRequest) GetOutputConfig 

func (x *ExportModelRequest) GetOutputConfig() *ExportModelRequest_OutputConfig

func (*ExportModelRequest) ProtoMessage 

func (*ExportModelRequest) ProtoMessage()

func (*ExportModelRequest) ProtoReflect 

func (x *ExportModelRequest) ProtoReflect() protoreflect.Message

func (*ExportModelRequest) Reset 

func (x *ExportModelRequest) Reset()

func (*ExportModelRequest) String 

func (x *ExportModelRequest) String() string

type ExportModelRequest_OutputConfig 

type ExportModelRequest_OutputConfig struct {

	// The ID of the format in which the Model must be exported. Each Model
	// lists the [export formats it
	// supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
	// no value is provided here, then the first from the list of the Model's
	// supported formats is used by default.
	ExportFormatId string `protobuf:"bytes,1,opt,name=export_format_id,json=exportFormatId,proto3" json:"export_format_id,omitempty"`
	// The Cloud Storage location where the Model artifact is to be
	// written to. Under the directory given as the destination a new one with
	// name "`model-export-<model-display-name>-<timestamp-of-export-call>`",
	// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
	// will be created. Inside, the Model and any of its supporting files
	// will be written.
	// This field should only be set when the `exportableContent` field of the
	// [Model.supported_export_formats] object contains `ARTIFACT`.
	ArtifactDestination *GcsDestination `protobuf:"bytes,3,opt,name=artifact_destination,json=artifactDestination,proto3" json:"artifact_destination,omitempty"`
	// The Google Container Registry or Artifact Registry uri where the
	// Model container image will be copied to.
	// This field should only be set when the `exportableContent` field of the
	// [Model.supported_export_formats] object contains `IMAGE`.
	ImageDestination *ContainerRegistryDestination `protobuf:"bytes,4,opt,name=image_destination,json=imageDestination,proto3" json:"image_destination,omitempty"`
	// contains filtered or unexported fields
}

Output configuration for the Model export.

func (*ExportModelRequest_OutputConfig) Descriptor 

func (*ExportModelRequest_OutputConfig) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelRequest_OutputConfig.ProtoReflect.Descriptor instead.

func (*ExportModelRequest_OutputConfig) GetArtifactDestination 

func (x *ExportModelRequest_OutputConfig) GetArtifactDestination() *GcsDestination

func (*ExportModelRequest_OutputConfig) GetExportFormatId 

func (x *ExportModelRequest_OutputConfig) GetExportFormatId() string

func (*ExportModelRequest_OutputConfig) GetImageDestination 

func (x *ExportModelRequest_OutputConfig) GetImageDestination() *ContainerRegistryDestination

func (*ExportModelRequest_OutputConfig) ProtoMessage 

func (*ExportModelRequest_OutputConfig) ProtoMessage()

func (*ExportModelRequest_OutputConfig) ProtoReflect 

func (x *ExportModelRequest_OutputConfig) ProtoReflect() protoreflect.Message

func (*ExportModelRequest_OutputConfig) Reset 

func (x *ExportModelRequest_OutputConfig) Reset()

func (*ExportModelRequest_OutputConfig) String 

func (x *ExportModelRequest_OutputConfig) String() string

type ExportModelResponse 

type ExportModelResponse struct {
	// contains filtered or unexported fields
}

Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.

func (*ExportModelResponse) Descriptor 

func (*ExportModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelResponse.ProtoReflect.Descriptor instead.

func (*ExportModelResponse) ProtoMessage 

func (*ExportModelResponse) ProtoMessage()

func (*ExportModelResponse) ProtoReflect 

func (x *ExportModelResponse) ProtoReflect() protoreflect.Message

func (*ExportModelResponse) Reset 

func (x *ExportModelResponse) Reset()

func (*ExportModelResponse) String 

func (x *ExportModelResponse) String() string

type ExportTensorboardTimeSeriesDataRequest 

type ExportTensorboardTimeSeriesDataRequest struct {

	// Required. The resource name of the TensorboardTimeSeries to export data
	// from. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TensorboardTimeSeries string `protobuf:"bytes,1,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// Exports the TensorboardTimeSeries' data that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of data points to return per page.
	// The default page_size is 1000. Values must be between 1 and 10000.
	// Values above 10000 are coerced to 10000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the TensorboardTimeSeries' data.
	// By default, TensorboardTimeSeries' data is returned in a pseudo random
	// order.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].

func (*ExportTensorboardTimeSeriesDataRequest) Descriptor 

func (*ExportTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.

func (*ExportTensorboardTimeSeriesDataRequest) GetFilter 

func (x *ExportTensorboardTimeSeriesDataRequest) GetFilter() string

func (*ExportTensorboardTimeSeriesDataRequest) GetOrderBy 

func (x *ExportTensorboardTimeSeriesDataRequest) GetOrderBy() string

func (*ExportTensorboardTimeSeriesDataRequest) GetPageSize 

func (x *ExportTensorboardTimeSeriesDataRequest) GetPageSize() int32

func (*ExportTensorboardTimeSeriesDataRequest) GetPageToken 

func (x *ExportTensorboardTimeSeriesDataRequest) GetPageToken() string

func (*ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries 

func (x *ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string

func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage 

func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage()

func (*ExportTensorboardTimeSeriesDataRequest) ProtoReflect 

func (x *ExportTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message

func (*ExportTensorboardTimeSeriesDataRequest) Reset 

func (x *ExportTensorboardTimeSeriesDataRequest) Reset()

func (*ExportTensorboardTimeSeriesDataRequest) String 

func (x *ExportTensorboardTimeSeriesDataRequest) String() string

type ExportTensorboardTimeSeriesDataResponse 

type ExportTensorboardTimeSeriesDataResponse struct {

	// The returned time series data points.
	TimeSeriesDataPoints []*TimeSeriesDataPoint `protobuf:"bytes,1,rep,name=time_series_data_points,json=timeSeriesDataPoints,proto3" json:"time_series_data_points,omitempty"`
	// A token, which can be sent as
	// [page_token][google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].

func (*ExportTensorboardTimeSeriesDataResponse) Descriptor 

func (*ExportTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.

func (*ExportTensorboardTimeSeriesDataResponse) GetNextPageToken 

func (x *ExportTensorboardTimeSeriesDataResponse) GetNextPageToken() string

func (*ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints 

func (x *ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints() []*TimeSeriesDataPoint

func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage 

func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage()

func (*ExportTensorboardTimeSeriesDataResponse) ProtoReflect 

func (x *ExportTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message

func (*ExportTensorboardTimeSeriesDataResponse) Reset 

func (x *ExportTensorboardTimeSeriesDataResponse) Reset()

func (*ExportTensorboardTimeSeriesDataResponse) String 

func (x *ExportTensorboardTimeSeriesDataResponse) String() string

type Fact 

type Fact struct {

	// Query that is used to retrieve this fact.
	Query *string `protobuf:"bytes,1,opt,name=query,proto3,oneof" json:"query,omitempty"`
	// If present, it refers to the title of this fact.
	Title *string `protobuf:"bytes,2,opt,name=title,proto3,oneof" json:"title,omitempty"`
	// If present, this uri links to the source of the fact.
	Uri *string `protobuf:"bytes,3,opt,name=uri,proto3,oneof" json:"uri,omitempty"`
	// If present, the summary/snippet of the fact.
	Summary *string `protobuf:"bytes,4,opt,name=summary,proto3,oneof" json:"summary,omitempty"`
	// If present, the distance between the query vector and this fact vector.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/vertex_rag_service.proto.
	VectorDistance *float64 `protobuf:"fixed64,5,opt,name=vector_distance,json=vectorDistance,proto3,oneof" json:"vector_distance,omitempty"`
	// If present, according to the underlying Vector DB and the selected metric
	// type, the score can be either the distance or the similarity between the
	// query and the fact and its range depends on the metric type.
	//
	// For example, if the metric type is COSINE_DISTANCE, it represents the
	// distance between the query and the fact. The larger the distance, the less
	// relevant the fact is to the query. The range is [0, 2], while 0 means the
	// most relevant and 2 means the least relevant.
	Score *float64 `protobuf:"fixed64,6,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

The fact used in grounding.

func (*Fact) Descriptor 

func (*Fact) Descriptor() ([]byte, []int)

Deprecated: Use Fact.ProtoReflect.Descriptor instead.

func (*Fact) GetQuery 

func (x *Fact) GetQuery() string

func (*Fact) GetScore 

func (x *Fact) GetScore() float64

func (*Fact) GetSummary 

func (x *Fact) GetSummary() string

func (*Fact) GetTitle 

func (x *Fact) GetTitle() string

func (*Fact) GetUri 

func (x *Fact) GetUri() string

func (*Fact) GetVectorDistance 

func (x *Fact) GetVectorDistance() float64

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/vertex_rag_service.proto.

func (*Fact) ProtoMessage 

func (*Fact) ProtoMessage()

func (*Fact) ProtoReflect 

func (x *Fact) ProtoReflect() protoreflect.Message

func (*Fact) Reset 

func (x *Fact) Reset()

func (*Fact) String 

func (x *Fact) String() string

type FasterDeploymentConfig 

type FasterDeploymentConfig struct {

	// If true, enable fast tryout feature for this deployed model.
	FastTryoutEnabled bool `protobuf:"varint,2,opt,name=fast_tryout_enabled,json=fastTryoutEnabled,proto3" json:"fast_tryout_enabled,omitempty"`
	// contains filtered or unexported fields
}

Configuration for faster model deployment.

func (*FasterDeploymentConfig) Descriptor 

func (*FasterDeploymentConfig) Descriptor() ([]byte, []int)

Deprecated: Use FasterDeploymentConfig.ProtoReflect.Descriptor instead.

func (*FasterDeploymentConfig) GetFastTryoutEnabled 

func (x *FasterDeploymentConfig) GetFastTryoutEnabled() bool

func (*FasterDeploymentConfig) ProtoMessage 

func (*FasterDeploymentConfig) ProtoMessage()

func (*FasterDeploymentConfig) ProtoReflect 

func (x *FasterDeploymentConfig) ProtoReflect() protoreflect.Message

func (*FasterDeploymentConfig) Reset 

func (x *FasterDeploymentConfig) Reset()

func (*FasterDeploymentConfig) String 

func (x *FasterDeploymentConfig) String() string

type Feature 

type Feature struct {

	// Immutable. Name of the Feature.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
	// `projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`
	//
	// The last part feature is assigned by the client. The feature can be up to
	// 64 characters long and can consist only of ASCII Latin letters A-Z and a-z,
	// underscore(_), and ASCII digits 0-9 starting with a letter. The value will
	// be unique given an entity type.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Description of the Feature.
	Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
	// Immutable. Only applicable for Vertex AI Feature Store (Legacy).
	// Type of Feature value.
	ValueType Feature_ValueType `protobuf:"varint,3,opt,name=value_type,json=valueType,proto3,enum=google.cloud.aiplatform.v1.Feature_ValueType" json:"value_type,omitempty"`
	// Output only. Only applicable for Vertex AI Feature Store (Legacy).
	// Timestamp when this EntityType was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Only applicable for Vertex AI Feature Store (Legacy).
	// Timestamp when this EntityType was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. The labels with user-defined metadata to organize your Features.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one Feature (System
	// labels are excluded)."
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `protobuf:"bytes,6,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. Only applicable for Vertex AI Feature Store (Legacy).
	// If not set, use the monitoring_config defined for the EntityType this
	// Feature belongs to.
	// Only Features with type
	// ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
	// STRING, DOUBLE or INT64 can enable monitoring.
	//
	// If set to true, all types of data monitoring are disabled despite the
	// config on EntityType.
	DisableMonitoring bool `protobuf:"varint,12,opt,name=disable_monitoring,json=disableMonitoring,proto3" json:"disable_monitoring,omitempty"`
	// Output only. Only applicable for Vertex AI Feature Store (Legacy).
	// The list of historical stats and anomalies with specified objectives.
	MonitoringStatsAnomalies []*Feature_MonitoringStatsAnomaly `protobuf:"bytes,11,rep,name=monitoring_stats_anomalies,json=monitoringStatsAnomalies,proto3" json:"monitoring_stats_anomalies,omitempty"`
	// Only applicable for Vertex AI Feature Store.
	// The name of the BigQuery Table/View column hosting data for this version.
	// If no value is provided, will use feature_id.
	VersionColumnName string `protobuf:"bytes,106,opt,name=version_column_name,json=versionColumnName,proto3" json:"version_column_name,omitempty"`
	// Entity responsible for maintaining this feature. Can be comma separated
	// list of email addresses or URIs.
	PointOfContact string `protobuf:"bytes,107,opt,name=point_of_contact,json=pointOfContact,proto3" json:"point_of_contact,omitempty"`
	// contains filtered or unexported fields
}

Feature Metadata information. For example, color is a feature that describes an apple.

func (*Feature) Descriptor 

func (*Feature) Descriptor() ([]byte, []int)

Deprecated: Use Feature.ProtoReflect.Descriptor instead.

func (*Feature) GetCreateTime 

func (x *Feature) GetCreateTime() *timestamppb.Timestamp

func (*Feature) GetDescription 

func (x *Feature) GetDescription() string

func (*Feature) GetDisableMonitoring 

func (x *Feature) GetDisableMonitoring() bool

func (*Feature) GetEtag 

func (x *Feature) GetEtag() string

func (*Feature) GetLabels 

func (x *Feature) GetLabels() map[string]string

func (*Feature) GetMonitoringStatsAnomalies 

func (x *Feature) GetMonitoringStatsAnomalies() []*Feature_MonitoringStatsAnomaly

func (*Feature) GetName 

func (x *Feature) GetName() string

func (*Feature) GetPointOfContact 

func (x *Feature) GetPointOfContact() string

func (*Feature) GetUpdateTime 

func (x *Feature) GetUpdateTime() *timestamppb.Timestamp

func (*Feature) GetValueType 

func (x *Feature) GetValueType() Feature_ValueType

func (*Feature) GetVersionColumnName 

func (x *Feature) GetVersionColumnName() string

func (*Feature) ProtoMessage 

func (*Feature) ProtoMessage()

func (*Feature) ProtoReflect 

func (x *Feature) ProtoReflect() protoreflect.Message

func (*Feature) Reset 

func (x *Feature) Reset()

func (*Feature) String 

func (x *Feature) String() string

type FeatureGroup 

type FeatureGroup struct {

	// Types that are assignable to Source:
	//
	//	*FeatureGroup_BigQuery_
	Source isFeatureGroup_Source `protobuf_oneof:"source"`
	// Identifier. Name of the FeatureGroup. Format:
	// `projects/{project}/locations/{location}/featureGroups/{featureGroup}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this FeatureGroup was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this FeatureGroup was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,4,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The labels with user-defined metadata to organize your
	// FeatureGroup.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one
	// FeatureGroup(System labels are excluded)." System reserved label keys
	// are prefixed with "aiplatform.googleapis.com/" and are immutable.
	Labels map[string]string `protobuf:"bytes,5,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Optional. Description of the FeatureGroup.
	Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
	// contains filtered or unexported fields
}

Vertex AI Feature Group.

func (*FeatureGroup) Descriptor 

func (*FeatureGroup) Descriptor() ([]byte, []int)

Deprecated: Use FeatureGroup.ProtoReflect.Descriptor instead.

func (*FeatureGroup) GetBigQuery 

func (x *FeatureGroup) GetBigQuery() *FeatureGroup_BigQuery

func (*FeatureGroup) GetCreateTime 

func (x *FeatureGroup) GetCreateTime() *timestamppb.Timestamp

func (*FeatureGroup) GetDescription 

func (x *FeatureGroup) GetDescription() string

func (*FeatureGroup) GetEtag 

func (x *FeatureGroup) GetEtag() string

func (*FeatureGroup) GetLabels 

func (x *FeatureGroup) GetLabels() map[string]string

func (*FeatureGroup) GetName 

func (x *FeatureGroup) GetName() string

func (*FeatureGroup) GetSource 

func (m *FeatureGroup) GetSource() isFeatureGroup_Source

func (*FeatureGroup) GetUpdateTime 

func (x *FeatureGroup) GetUpdateTime() *timestamppb.Timestamp

func (*FeatureGroup) ProtoMessage 

func (*FeatureGroup) ProtoMessage()

func (*FeatureGroup) ProtoReflect 

func (x *FeatureGroup) ProtoReflect() protoreflect.Message

func (*FeatureGroup) Reset 

func (x *FeatureGroup) Reset()

func (*FeatureGroup) String 

func (x *FeatureGroup) String() string

type FeatureGroup_BigQuery 

type FeatureGroup_BigQuery struct {

	// Required. Immutable. The BigQuery source URI that points to either a
	// BigQuery Table or View.
	BigQuerySource *BigQuerySource `protobuf:"bytes,1,opt,name=big_query_source,json=bigQuerySource,proto3" json:"big_query_source,omitempty"`
	// Optional. Columns to construct entity_id / row keys.
	// If not provided defaults to `entity_id`.
	EntityIdColumns []string `protobuf:"bytes,2,rep,name=entity_id_columns,json=entityIdColumns,proto3" json:"entity_id_columns,omitempty"`
	// Optional. Set if the data source is not a time-series.
	StaticDataSource bool `protobuf:"varint,3,opt,name=static_data_source,json=staticDataSource,proto3" json:"static_data_source,omitempty"`
	// Optional. If the source is a time-series source, this can be set to
	// control how downstream sources (ex:
	// [FeatureView][google.cloud.aiplatform.v1.FeatureView] ) will treat
	// time-series sources. If not set, will treat the source as a time-series
	// source with `feature_timestamp` as timestamp column and no scan boundary.
	TimeSeries *FeatureGroup_BigQuery_TimeSeries `protobuf:"bytes,4,opt,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
	// Optional. If set, all feature values will be fetched
	// from a single row per unique entityId including nulls.
	// If not set, will collapse all rows for each unique entityId into a singe
	// row with any non-null values if present, if no non-null values are
	// present will sync null.
	// ex: If source has schema
	// `(entity_id, feature_timestamp, f0, f1)` and the following rows:
	// `(e1, 2020-01-01T10:00:00.123Z, 10, 15)`
	// `(e1, 2020-02-01T10:00:00.123Z, 20, null)`
	// If dense is set, `(e1, 20, null)` is synced to online stores. If dense is
	// not set, `(e1, 20, 15)` is synced to online stores.
	Dense bool `protobuf:"varint,5,opt,name=dense,proto3" json:"dense,omitempty"`
	// contains filtered or unexported fields
}

Input source type for BigQuery Tables and Views.

func (*FeatureGroup_BigQuery) Descriptor 

func (*FeatureGroup_BigQuery) Descriptor() ([]byte, []int)

Deprecated: Use FeatureGroup_BigQuery.ProtoReflect.Descriptor instead.

func (*FeatureGroup_BigQuery) GetBigQuerySource 

func (x *FeatureGroup_BigQuery) GetBigQuerySource() *BigQuerySource

func (*FeatureGroup_BigQuery) GetDense 

func (x *FeatureGroup_BigQuery) GetDense() bool

func (*FeatureGroup_BigQuery) GetEntityIdColumns 

func (x *FeatureGroup_BigQuery) GetEntityIdColumns() []string

func (*FeatureGroup_BigQuery) GetStaticDataSource 

func (x *FeatureGroup_BigQuery) GetStaticDataSource() bool

func (*FeatureGroup_BigQuery) GetTimeSeries 

func (x *FeatureGroup_BigQuery) GetTimeSeries() *FeatureGroup_BigQuery_TimeSeries

func (*FeatureGroup_BigQuery) ProtoMessage 

func (*FeatureGroup_BigQuery) ProtoMessage()

func (*FeatureGroup_BigQuery) ProtoReflect 

func (x *FeatureGroup_BigQuery) ProtoReflect() protoreflect.Message

func (*FeatureGroup_BigQuery) Reset 

func (x *FeatureGroup_BigQuery) Reset()

func (*FeatureGroup_BigQuery) String 

func (x *FeatureGroup_BigQuery) String() string

type FeatureGroup_BigQuery_ 

type FeatureGroup_BigQuery_ struct {
	// Indicates that features for this group come from BigQuery Table/View.
	// By default treats the source as a sparse time series source. The BigQuery
	// source table or view must have at least one entity ID column and a column
	// named `feature_timestamp`.
	BigQuery *FeatureGroup_BigQuery `protobuf:"bytes,7,opt,name=big_query,json=bigQuery,proto3,oneof"`
}

type FeatureGroup_BigQuery_TimeSeries 

type FeatureGroup_BigQuery_TimeSeries struct {

	// Optional. Column hosting timestamp values for a time-series source.
	// Will be used to determine the latest `feature_values` for each entity.
	// Optional. If not provided, column named `feature_timestamp` of
	// type `TIMESTAMP` will be used.
	TimestampColumn string `protobuf:"bytes,1,opt,name=timestamp_column,json=timestampColumn,proto3" json:"timestamp_column,omitempty"`
	// contains filtered or unexported fields
}

func (*FeatureGroup_BigQuery_TimeSeries) Descriptor 

func (*FeatureGroup_BigQuery_TimeSeries) Descriptor() ([]byte, []int)

Deprecated: Use FeatureGroup_BigQuery_TimeSeries.ProtoReflect.Descriptor instead.

func (*FeatureGroup_BigQuery_TimeSeries) GetTimestampColumn 

func (x *FeatureGroup_BigQuery_TimeSeries) GetTimestampColumn() string

func (*FeatureGroup_BigQuery_TimeSeries) ProtoMessage 

func (*FeatureGroup_BigQuery_TimeSeries) ProtoMessage()

func (*FeatureGroup_BigQuery_TimeSeries) ProtoReflect 

func (x *FeatureGroup_BigQuery_TimeSeries) ProtoReflect() protoreflect.Message

func (*FeatureGroup_BigQuery_TimeSeries) Reset 

func (x *FeatureGroup_BigQuery_TimeSeries) Reset()

func (*FeatureGroup_BigQuery_TimeSeries) String 

func (x *FeatureGroup_BigQuery_TimeSeries) String() string

type FeatureNoiseSigma 

type FeatureNoiseSigma struct {

	// Noise sigma per feature. No noise is added to features that are not set.
	NoiseSigma []*FeatureNoiseSigma_NoiseSigmaForFeature `protobuf:"bytes,1,rep,name=noise_sigma,json=noiseSigma,proto3" json:"noise_sigma,omitempty"`
	// contains filtered or unexported fields
}

Noise sigma by features. Noise sigma represents the standard deviation of the gaussian kernel that will be used to add noise to interpolated inputs prior to computing gradients.

func (*FeatureNoiseSigma) Descriptor 

func (*FeatureNoiseSigma) Descriptor() ([]byte, []int)

Deprecated: Use FeatureNoiseSigma.ProtoReflect.Descriptor instead.

func (*FeatureNoiseSigma) GetNoiseSigma 

func (x *FeatureNoiseSigma) GetNoiseSigma() []*FeatureNoiseSigma_NoiseSigmaForFeature

func (*FeatureNoiseSigma) ProtoMessage 

func (*FeatureNoiseSigma) ProtoMessage()

func (*FeatureNoiseSigma) ProtoReflect 

func (x *FeatureNoiseSigma) ProtoReflect() protoreflect.Message

func (*FeatureNoiseSigma) Reset 

func (x *FeatureNoiseSigma) Reset()

func (*FeatureNoiseSigma) String 

func (x *FeatureNoiseSigma) String() string

type FeatureNoiseSigma_NoiseSigmaForFeature 

type FeatureNoiseSigma_NoiseSigmaForFeature struct {

	// The name of the input feature for which noise sigma is provided. The
	// features are defined in
	// [explanation metadata
	// inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// This represents the standard deviation of the Gaussian kernel that will
	// be used to add noise to the feature prior to computing gradients. Similar
	// to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
	// but represents the noise added to the current feature. Defaults to 0.1.
	Sigma float32 `protobuf:"fixed32,2,opt,name=sigma,proto3" json:"sigma,omitempty"`
	// contains filtered or unexported fields
}

Noise sigma for a single feature.

func (*FeatureNoiseSigma_NoiseSigmaForFeature) Descriptor 

func (*FeatureNoiseSigma_NoiseSigmaForFeature) Descriptor() ([]byte, []int)

Deprecated: Use FeatureNoiseSigma_NoiseSigmaForFeature.ProtoReflect.Descriptor instead.

func (*FeatureNoiseSigma_NoiseSigmaForFeature) GetName 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) GetName() string

func (*FeatureNoiseSigma_NoiseSigmaForFeature) GetSigma 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) GetSigma() float32

func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoMessage 

func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoMessage()

func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoReflect 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) ProtoReflect() protoreflect.Message

func (*FeatureNoiseSigma_NoiseSigmaForFeature) Reset 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) Reset()

func (*FeatureNoiseSigma_NoiseSigmaForFeature) String 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) String() string

type FeatureOnlineStore 

type FeatureOnlineStore struct {

	// Types that are assignable to StorageType:
	//
	//	*FeatureOnlineStore_Bigtable_
	//	*FeatureOnlineStore_Optimized_
	StorageType isFeatureOnlineStore_StorageType `protobuf_oneof:"storage_type"`
	// Identifier. Name of the FeatureOnlineStore. Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this FeatureOnlineStore was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this FeatureOnlineStore was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The labels with user-defined metadata to organize your
	// FeatureOnlineStore.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one
	// FeatureOnlineStore(System labels are excluded)." System reserved label keys
	// are prefixed with "aiplatform.googleapis.com/" and are immutable.
	Labels map[string]string `protobuf:"bytes,6,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. State of the featureOnlineStore.
	State FeatureOnlineStore_State `protobuf:"varint,7,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.FeatureOnlineStore_State" json:"state,omitempty"`
	// Optional. The dedicated serving endpoint for this FeatureOnlineStore, which
	// is different from common Vertex service endpoint.
	DedicatedServingEndpoint *FeatureOnlineStore_DedicatedServingEndpoint `protobuf:"bytes,10,opt,name=dedicated_serving_endpoint,json=dedicatedServingEndpoint,proto3" json:"dedicated_serving_endpoint,omitempty"`
	// Optional. Customer-managed encryption key spec for data storage. If set,
	// online store will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,13,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,15,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,16,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container.

func (*FeatureOnlineStore) Descriptor 

func (*FeatureOnlineStore) Descriptor() ([]byte, []int)

Deprecated: Use FeatureOnlineStore.ProtoReflect.Descriptor instead.

func (*FeatureOnlineStore) GetBigtable 

func (x *FeatureOnlineStore) GetBigtable() *FeatureOnlineStore_Bigtable

func (*FeatureOnlineStore) GetCreateTime 

func (x *FeatureOnlineStore) GetCreateTime() *timestamppb.Timestamp

func (*FeatureOnlineStore) GetDedicatedServingEndpoint 

func (x *FeatureOnlineStore) GetDedicatedServingEndpoint() *FeatureOnlineStore_DedicatedServingEndpoint

func (*FeatureOnlineStore) GetEncryptionSpec 

func (x *FeatureOnlineStore) GetEncryptionSpec() *EncryptionSpec

func (*FeatureOnlineStore) GetEtag 

func (x *FeatureOnlineStore) GetEtag() string

func (*FeatureOnlineStore) GetLabels 

func (x *FeatureOnlineStore) GetLabels() map[string]string

func (*FeatureOnlineStore) GetName 

func (x *FeatureOnlineStore) GetName() string

func (*FeatureOnlineStore) GetOptimized 

func (x *FeatureOnlineStore) GetOptimized() *FeatureOnlineStore_Optimized

func (*FeatureOnlineStore) GetSatisfiesPzi 

func (x *FeatureOnlineStore) GetSatisfiesPzi() bool

func (*FeatureOnlineStore) GetSatisfiesPzs 

func (x *FeatureOnlineStore) GetSatisfiesPzs() bool

func (*FeatureOnlineStore) GetState 

func (x *FeatureOnlineStore) GetState() FeatureOnlineStore_State

func (*FeatureOnlineStore) GetStorageType 

func (m *FeatureOnlineStore) GetStorageType() isFeatureOnlineStore_StorageType

func (*FeatureOnlineStore) GetUpdateTime 

func (x *FeatureOnlineStore) GetUpdateTime() *timestamppb.Timestamp

func (*FeatureOnlineStore) ProtoMessage 

func (*FeatureOnlineStore) ProtoMessage()

func (*FeatureOnlineStore) ProtoReflect 

func (x *FeatureOnlineStore) ProtoReflect() protoreflect.Message

func (*FeatureOnlineStore) Reset 

func (x *FeatureOnlineStore) Reset()

func (*FeatureOnlineStore) String 

func (x *FeatureOnlineStore) String() string

type FeatureOnlineStoreAdminServiceClient 

type FeatureOnlineStoreAdminServiceClient interface {
	// Creates a new FeatureOnlineStore in a given project and location.
	CreateFeatureOnlineStore(ctx context.Context, in *CreateFeatureOnlineStoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single FeatureOnlineStore.
	GetFeatureOnlineStore(ctx context.Context, in *GetFeatureOnlineStoreRequest, opts ...grpc.CallOption) (*FeatureOnlineStore, error)
	// Lists FeatureOnlineStores in a given project and location.
	ListFeatureOnlineStores(ctx context.Context, in *ListFeatureOnlineStoresRequest, opts ...grpc.CallOption) (*ListFeatureOnlineStoresResponse, error)
	// Updates the parameters of a single FeatureOnlineStore.
	UpdateFeatureOnlineStore(ctx context.Context, in *UpdateFeatureOnlineStoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a single FeatureOnlineStore. The FeatureOnlineStore must not
	// contain any FeatureViews.
	DeleteFeatureOnlineStore(ctx context.Context, in *DeleteFeatureOnlineStoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a new FeatureView in a given FeatureOnlineStore.
	CreateFeatureView(ctx context.Context, in *CreateFeatureViewRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single FeatureView.
	GetFeatureView(ctx context.Context, in *GetFeatureViewRequest, opts ...grpc.CallOption) (*FeatureView, error)
	// Lists FeatureViews in a given FeatureOnlineStore.
	ListFeatureViews(ctx context.Context, in *ListFeatureViewsRequest, opts ...grpc.CallOption) (*ListFeatureViewsResponse, error)
	// Updates the parameters of a single FeatureView.
	UpdateFeatureView(ctx context.Context, in *UpdateFeatureViewRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a single FeatureView.
	DeleteFeatureView(ctx context.Context, in *DeleteFeatureViewRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Triggers on-demand sync for the FeatureView.
	SyncFeatureView(ctx context.Context, in *SyncFeatureViewRequest, opts ...grpc.CallOption) (*SyncFeatureViewResponse, error)
	// Gets details of a single FeatureViewSync.
	GetFeatureViewSync(ctx context.Context, in *GetFeatureViewSyncRequest, opts ...grpc.CallOption) (*FeatureViewSync, error)
	// Lists FeatureViewSyncs in a given FeatureView.
	ListFeatureViewSyncs(ctx context.Context, in *ListFeatureViewSyncsRequest, opts ...grpc.CallOption) (*ListFeatureViewSyncsResponse, error)
}

FeatureOnlineStoreAdminServiceClient is the client API for FeatureOnlineStoreAdminService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewFeatureOnlineStoreAdminServiceClient 

func NewFeatureOnlineStoreAdminServiceClient(cc grpc.ClientConnInterface) FeatureOnlineStoreAdminServiceClient

type FeatureOnlineStoreAdminServiceServer 

type FeatureOnlineStoreAdminServiceServer interface {
	// Creates a new FeatureOnlineStore in a given project and location.
	CreateFeatureOnlineStore(context.Context, *CreateFeatureOnlineStoreRequest) (*longrunningpb.Operation, error)
	// Gets details of a single FeatureOnlineStore.
	GetFeatureOnlineStore(context.Context, *GetFeatureOnlineStoreRequest) (*FeatureOnlineStore, error)
	// Lists FeatureOnlineStores in a given project and location.
	ListFeatureOnlineStores(context.Context, *ListFeatureOnlineStoresRequest) (*ListFeatureOnlineStoresResponse, error)
	// Updates the parameters of a single FeatureOnlineStore.
	UpdateFeatureOnlineStore(context.Context, *UpdateFeatureOnlineStoreRequest) (*longrunningpb.Operation, error)
	// Deletes a single FeatureOnlineStore. The FeatureOnlineStore must not
	// contain any FeatureViews.
	DeleteFeatureOnlineStore(context.Context, *DeleteFeatureOnlineStoreRequest) (*longrunningpb.Operation, error)
	// Creates a new FeatureView in a given FeatureOnlineStore.
	CreateFeatureView(context.Context, *CreateFeatureViewRequest) (*longrunningpb.Operation, error)
	// Gets details of a single FeatureView.
	GetFeatureView(context.Context, *GetFeatureViewRequest) (*FeatureView, error)
	// Lists FeatureViews in a given FeatureOnlineStore.
	ListFeatureViews(context.Context, *ListFeatureViewsRequest) (*ListFeatureViewsResponse, error)
	// Updates the parameters of a single FeatureView.
	UpdateFeatureView(context.Context, *UpdateFeatureViewRequest) (*longrunningpb.Operation, error)
	// Deletes a single FeatureView.
	DeleteFeatureView(context.Context, *DeleteFeatureViewRequest) (*longrunningpb.Operation, error)
	// Triggers on-demand sync for the FeatureView.
	SyncFeatureView(context.Context, *SyncFeatureViewRequest) (*SyncFeatureViewResponse, error)
	// Gets details of a single FeatureViewSync.
	GetFeatureViewSync(context.Context, *GetFeatureViewSyncRequest) (*FeatureViewSync, error)
	// Lists FeatureViewSyncs in a given FeatureView.
	ListFeatureViewSyncs(context.Context, *ListFeatureViewSyncsRequest) (*ListFeatureViewSyncsResponse, error)
}

FeatureOnlineStoreAdminServiceServer is the server API for FeatureOnlineStoreAdminService service.

type FeatureOnlineStoreServiceClient 

type FeatureOnlineStoreServiceClient interface {
	// Fetch feature values under a FeatureView.
	FetchFeatureValues(ctx context.Context, in *FetchFeatureValuesRequest, opts ...grpc.CallOption) (*FetchFeatureValuesResponse, error)
	// Search the nearest entities under a FeatureView.
	// Search only works for indexable feature view; if a feature view isn't
	// indexable, returns Invalid argument response.
	SearchNearestEntities(ctx context.Context, in *SearchNearestEntitiesRequest, opts ...grpc.CallOption) (*SearchNearestEntitiesResponse, error)
}

FeatureOnlineStoreServiceClient is the client API for FeatureOnlineStoreService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewFeatureOnlineStoreServiceClient 

func NewFeatureOnlineStoreServiceClient(cc grpc.ClientConnInterface) FeatureOnlineStoreServiceClient

type FeatureOnlineStoreServiceServer 

type FeatureOnlineStoreServiceServer interface {
	// Fetch feature values under a FeatureView.
	FetchFeatureValues(context.Context, *FetchFeatureValuesRequest) (*FetchFeatureValuesResponse, error)
	// Search the nearest entities under a FeatureView.
	// Search only works for indexable feature view; if a feature view isn't
	// indexable, returns Invalid argument response.
	SearchNearestEntities(context.Context, *SearchNearestEntitiesRequest) (*SearchNearestEntitiesResponse, error)
}

FeatureOnlineStoreServiceServer is the server API for FeatureOnlineStoreService service.

type FeatureOnlineStore_Bigtable 

type FeatureOnlineStore_Bigtable struct {

	// Required. Autoscaling config applied to Bigtable Instance.
	AutoScaling *FeatureOnlineStore_Bigtable_AutoScaling `protobuf:"bytes,1,opt,name=auto_scaling,json=autoScaling,proto3" json:"auto_scaling,omitempty"`
	// contains filtered or unexported fields
}

func (*FeatureOnlineStore_Bigtable) Descriptor 

func (*FeatureOnlineStore_Bigtable) Descriptor() ([]byte, []int)

Deprecated: Use FeatureOnlineStore_Bigtable.ProtoReflect.Descriptor instead.

func (*FeatureOnlineStore_Bigtable) GetAutoScaling 

func (x *FeatureOnlineStore_Bigtable) GetAutoScaling() *FeatureOnlineStore_Bigtable_AutoScaling

func (*FeatureOnlineStore_Bigtable) ProtoMessage 

func (*FeatureOnlineStore_Bigtable) ProtoMessage()

func (*FeatureOnlineStore_Bigtable) ProtoReflect 

func (x *FeatureOnlineStore_Bigtable) ProtoReflect() protoreflect.Message

func (*FeatureOnlineStore_Bigtable) Reset 

func (x *FeatureOnlineStore_Bigtable) Reset()

func (*FeatureOnlineStore_Bigtable) String 

func (x *FeatureOnlineStore_Bigtable) String() string

type FeatureOnlineStore_Bigtable_ 

type FeatureOnlineStore_Bigtable_ struct {
	// Contains settings for the Cloud Bigtable instance that will be created
	// to serve featureValues for all FeatureViews under this
	// FeatureOnlineStore.
	Bigtable *FeatureOnlineStore_Bigtable `protobuf:"bytes,8,opt,name=bigtable,proto3,oneof"`
}

type FeatureOnlineStore_Bigtable_AutoScaling 

type FeatureOnlineStore_Bigtable_AutoScaling struct {

	// Required. The minimum number of nodes to scale down to. Must be greater
	// than or equal to 1.
	MinNodeCount int32 `protobuf:"varint,1,opt,name=min_node_count,json=minNodeCount,proto3" json:"min_node_count,omitempty"`
	// Required. The maximum number of nodes to scale up to. Must be greater
	// than or equal to min_node_count, and less than or equal to 10 times of
	// 'min_node_count'.
	MaxNodeCount int32 `protobuf:"varint,2,opt,name=max_node_count,json=maxNodeCount,proto3" json:"max_node_count,omitempty"`
	// Optional. A percentage of the cluster's CPU capacity. Can be from 10%
	// to 80%. When a cluster's CPU utilization exceeds the target that you
	// have set, Bigtable immediately adds nodes to the cluster. When CPU
	// utilization is substantially lower than the target, Bigtable removes
	// nodes. If not set will default to 50%.
	CpuUtilizationTarget int32 `protobuf:"varint,3,opt,name=cpu_utilization_target,json=cpuUtilizationTarget,proto3" json:"cpu_utilization_target,omitempty"`
	// contains filtered or unexported fields
}

func (*FeatureOnlineStore_Bigtable_AutoScaling) Descriptor 

func (*FeatureOnlineStore_Bigtable_AutoScaling) Descriptor() ([]byte, []int)

Deprecated: Use FeatureOnlineStore_Bigtable_AutoScaling.ProtoReflect.Descriptor instead.

func (*FeatureOnlineStore_Bigtable_AutoScaling) GetCpuUtilizationTarget 

func (x *FeatureOnlineStore_Bigtable_AutoScaling) GetCpuUtilizationTarget() int32

func (*FeatureOnlineStore_Bigtable_AutoScaling) GetMaxNodeCount 

func (x *FeatureOnlineStore_Bigtable_AutoScaling) GetMaxNodeCount() int32

func (*FeatureOnlineStore_Bigtable_AutoScaling) GetMinNodeCount 

func (x *FeatureOnlineStore_Bigtable_AutoScaling) GetMinNodeCount() int32

func (*FeatureOnlineStore_Bigtable_AutoScaling) ProtoMessage 

func (*FeatureOnlineStore_Bigtable_AutoScaling) ProtoMessage()

func (*FeatureOnlineStore_Bigtable_AutoScaling) ProtoReflect 

func (x *FeatureOnlineStore_Bigtable_AutoScaling) ProtoReflect() protoreflect.Message

func (*FeatureOnlineStore_Bigtable_AutoScaling) Reset 

func (x *FeatureOnlineStore_Bigtable_AutoScaling) Reset()

func (*FeatureOnlineStore_Bigtable_AutoScaling) String 

func (x *FeatureOnlineStore_Bigtable_AutoScaling) String() string

type FeatureOnlineStore_DedicatedServingEndpoint 

type FeatureOnlineStore_DedicatedServingEndpoint struct {

	// Output only. This field will be populated with the domain name to use for
	// this FeatureOnlineStore
	PublicEndpointDomainName string `protobuf:"bytes,2,opt,name=public_endpoint_domain_name,json=publicEndpointDomainName,proto3" json:"public_endpoint_domain_name,omitempty"`
	// Optional. Private service connect config. The private service connection
	// is available only for Optimized storage type, not for embedding
	// management now. If
	// [PrivateServiceConnectConfig.enable_private_service_connect][google.cloud.aiplatform.v1.PrivateServiceConnectConfig.enable_private_service_connect]
	// set to true, customers will use private service connection to send
	// request. Otherwise, the connection will set to public endpoint.
	PrivateServiceConnectConfig *PrivateServiceConnectConfig `protobuf:"bytes,3,opt,name=private_service_connect_config,json=privateServiceConnectConfig,proto3" json:"private_service_connect_config,omitempty"`
	// Output only. The name of the service attachment resource. Populated if
	// private service connect is enabled and after FeatureViewSync is created.
	ServiceAttachment string `protobuf:"bytes,4,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"`
	// contains filtered or unexported fields
}

The dedicated serving endpoint for this FeatureOnlineStore. Only need to set when you choose Optimized storage type. Public endpoint is provisioned by default.

func (*FeatureOnlineStore_DedicatedServingEndpoint) Descriptor 

func (*FeatureOnlineStore_DedicatedServingEndpoint) Descriptor() ([]byte, []int)

Deprecated: Use FeatureOnlineStore_DedicatedServingEndpoint.ProtoReflect.Descriptor instead.

func (*FeatureOnlineStore_DedicatedServingEndpoint) GetPrivateServiceConnectConfig 

func (x *FeatureOnlineStore_DedicatedServingEndpoint) GetPrivateServiceConnectConfig() *PrivateServiceConnectConfig

func (*FeatureOnlineStore_DedicatedServingEndpoint) GetPublicEndpointDomainName 

func (x *FeatureOnlineStore_DedicatedServingEndpoint) GetPublicEndpointDomainName() string

func (*FeatureOnlineStore_DedicatedServingEndpoint) GetServiceAttachment 

func (x *FeatureOnlineStore_DedicatedServingEndpoint) GetServiceAttachment() string

func (*FeatureOnlineStore_DedicatedServingEndpoint) ProtoMessage 

func (*FeatureOnlineStore_DedicatedServingEndpoint) ProtoMessage()

func (*FeatureOnlineStore_DedicatedServingEndpoint) ProtoReflect 

func (x *FeatureOnlineStore_DedicatedServingEndpoint) ProtoReflect() protoreflect.Message

func (*FeatureOnlineStore_DedicatedServingEndpoint) Reset 

func (x *FeatureOnlineStore_DedicatedServingEndpoint) Reset()

func (*FeatureOnlineStore_DedicatedServingEndpoint) String 

func (x *FeatureOnlineStore_DedicatedServingEndpoint) String() string

type FeatureOnlineStore_Optimized 

type FeatureOnlineStore_Optimized struct {
	// contains filtered or unexported fields
}

Optimized storage type

func (*FeatureOnlineStore_Optimized) Descriptor 

func (*FeatureOnlineStore_Optimized) Descriptor() ([]byte, []int)

Deprecated: Use FeatureOnlineStore_Optimized.ProtoReflect.Descriptor instead.

func (*FeatureOnlineStore_Optimized) ProtoMessage 

func (*FeatureOnlineStore_Optimized) ProtoMessage()

func (*FeatureOnlineStore_Optimized) ProtoReflect 

func (x *FeatureOnlineStore_Optimized) ProtoReflect() protoreflect.Message

func (*FeatureOnlineStore_Optimized) Reset 

func (x *FeatureOnlineStore_Optimized) Reset()

func (*FeatureOnlineStore_Optimized) String 

func (x *FeatureOnlineStore_Optimized) String() string

type FeatureOnlineStore_Optimized_ 

type FeatureOnlineStore_Optimized_ struct {
	// Contains settings for the Optimized store that will be created
	// to serve featureValues for all FeatureViews under this
	// FeatureOnlineStore. When choose Optimized storage type, need to set
	// [PrivateServiceConnectConfig.enable_private_service_connect][google.cloud.aiplatform.v1.PrivateServiceConnectConfig.enable_private_service_connect]
	// to use private endpoint. Otherwise will use public endpoint by default.
	Optimized *FeatureOnlineStore_Optimized `protobuf:"bytes,12,opt,name=optimized,proto3,oneof"`
}

type FeatureOnlineStore_State 

type FeatureOnlineStore_State int32

Possible states a featureOnlineStore can have. 

const (
	// Default value. This value is unused.
	FeatureOnlineStore_STATE_UNSPECIFIED FeatureOnlineStore_State = 0
	// State when the featureOnlineStore configuration is not being updated and
	// the fields reflect the current configuration of the featureOnlineStore.
	// The featureOnlineStore is usable in this state.
	FeatureOnlineStore_STABLE FeatureOnlineStore_State = 1
	// The state of the featureOnlineStore configuration when it is being
	// updated. During an update, the fields reflect either the original
	// configuration or the updated configuration of the featureOnlineStore. The
	// featureOnlineStore is still usable in this state.
	FeatureOnlineStore_UPDATING FeatureOnlineStore_State = 2
)

func (FeatureOnlineStore_State) Descriptor 

func (FeatureOnlineStore_State) Descriptor() protoreflect.EnumDescriptor

func (FeatureOnlineStore_State) Enum 

func (x FeatureOnlineStore_State) Enum() *FeatureOnlineStore_State

func (FeatureOnlineStore_State) EnumDescriptor 

func (FeatureOnlineStore_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use FeatureOnlineStore_State.Descriptor instead.

func (FeatureOnlineStore_State) Number 

func (x FeatureOnlineStore_State) Number() protoreflect.EnumNumber

func (FeatureOnlineStore_State) String 

func (x FeatureOnlineStore_State) String() string

func (FeatureOnlineStore_State) Type 

func (FeatureOnlineStore_State) Type() protoreflect.EnumType

type FeatureRegistryServiceClient 

type FeatureRegistryServiceClient interface {
	// Creates a new FeatureGroup in a given project and location.
	CreateFeatureGroup(ctx context.Context, in *CreateFeatureGroupRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single FeatureGroup.
	GetFeatureGroup(ctx context.Context, in *GetFeatureGroupRequest, opts ...grpc.CallOption) (*FeatureGroup, error)
	// Lists FeatureGroups in a given project and location.
	ListFeatureGroups(ctx context.Context, in *ListFeatureGroupsRequest, opts ...grpc.CallOption) (*ListFeatureGroupsResponse, error)
	// Updates the parameters of a single FeatureGroup.
	UpdateFeatureGroup(ctx context.Context, in *UpdateFeatureGroupRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a single FeatureGroup.
	DeleteFeatureGroup(ctx context.Context, in *DeleteFeatureGroupRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a new Feature in a given FeatureGroup.
	CreateFeature(ctx context.Context, in *CreateFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a batch of Features in a given FeatureGroup.
	BatchCreateFeatures(ctx context.Context, in *BatchCreateFeaturesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single Feature.
	GetFeature(ctx context.Context, in *GetFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
	// Lists Features in a given FeatureGroup.
	ListFeatures(ctx context.Context, in *ListFeaturesRequest, opts ...grpc.CallOption) (*ListFeaturesResponse, error)
	// Updates the parameters of a single Feature.
	UpdateFeature(ctx context.Context, in *UpdateFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a single Feature.
	DeleteFeature(ctx context.Context, in *DeleteFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

FeatureRegistryServiceClient is the client API for FeatureRegistryService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewFeatureRegistryServiceClient 

func NewFeatureRegistryServiceClient(cc grpc.ClientConnInterface) FeatureRegistryServiceClient

type FeatureRegistryServiceServer 

type FeatureRegistryServiceServer interface {
	// Creates a new FeatureGroup in a given project and location.
	CreateFeatureGroup(context.Context, *CreateFeatureGroupRequest) (*longrunningpb.Operation, error)
	// Gets details of a single FeatureGroup.
	GetFeatureGroup(context.Context, *GetFeatureGroupRequest) (*FeatureGroup, error)
	// Lists FeatureGroups in a given project and location.
	ListFeatureGroups(context.Context, *ListFeatureGroupsRequest) (*ListFeatureGroupsResponse, error)
	// Updates the parameters of a single FeatureGroup.
	UpdateFeatureGroup(context.Context, *UpdateFeatureGroupRequest) (*longrunningpb.Operation, error)
	// Deletes a single FeatureGroup.
	DeleteFeatureGroup(context.Context, *DeleteFeatureGroupRequest) (*longrunningpb.Operation, error)
	// Creates a new Feature in a given FeatureGroup.
	CreateFeature(context.Context, *CreateFeatureRequest) (*longrunningpb.Operation, error)
	// Creates a batch of Features in a given FeatureGroup.
	BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunningpb.Operation, error)
	// Gets details of a single Feature.
	GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)
	// Lists Features in a given FeatureGroup.
	ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)
	// Updates the parameters of a single Feature.
	UpdateFeature(context.Context, *UpdateFeatureRequest) (*longrunningpb.Operation, error)
	// Deletes a single Feature.
	DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunningpb.Operation, error)
}

FeatureRegistryServiceServer is the server API for FeatureRegistryService service.

type FeatureSelector 

type FeatureSelector struct {

	// Required. Matches Features based on ID.
	IdMatcher *IdMatcher `protobuf:"bytes,1,opt,name=id_matcher,json=idMatcher,proto3" json:"id_matcher,omitempty"`
	// contains filtered or unexported fields
}

Selector for Features of an EntityType.

func (*FeatureSelector) Descriptor 

func (*FeatureSelector) Descriptor() ([]byte, []int)

Deprecated: Use FeatureSelector.ProtoReflect.Descriptor instead.

func (*FeatureSelector) GetIdMatcher 

func (x *FeatureSelector) GetIdMatcher() *IdMatcher

func (*FeatureSelector) ProtoMessage 

func (*FeatureSelector) ProtoMessage()

func (*FeatureSelector) ProtoReflect 

func (x *FeatureSelector) ProtoReflect() protoreflect.Message

func (*FeatureSelector) Reset 

func (x *FeatureSelector) Reset()

func (*FeatureSelector) String 

func (x *FeatureSelector) String() string

type FeatureStatsAnomaly 

type FeatureStatsAnomaly struct {

	// Feature importance score, only populated when cross-feature monitoring is
	// enabled. For now only used to represent feature attribution score within
	// range [0, 1] for
	// [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
	// and
	// [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
	Score float64 `protobuf:"fixed64,1,opt,name=score,proto3" json:"score,omitempty"`
	// Path of the stats file for current feature values in Cloud Storage bucket.
	// Format: gs://<bucket_name>/<object_name>/stats.
	// Example: gs://monitoring_bucket/feature_name/stats.
	// Stats are stored as binary format with Protobuf message
	// [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto).
	StatsUri string `protobuf:"bytes,3,opt,name=stats_uri,json=statsUri,proto3" json:"stats_uri,omitempty"`
	// Path of the anomaly file for current feature values in Cloud Storage
	// bucket.
	// Format: gs://<bucket_name>/<object_name>/anomalies.
	// Example: gs://monitoring_bucket/feature_name/anomalies.
	// Stats are stored as binary format with Protobuf message
	// Anoamlies are stored as binary format with Protobuf message
	// [tensorflow.metadata.v0.AnomalyInfo]
	// (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto).
	AnomalyUri string `protobuf:"bytes,4,opt,name=anomaly_uri,json=anomalyUri,proto3" json:"anomaly_uri,omitempty"`
	// Deviation from the current stats to baseline stats.
	//  1. For categorical feature, the distribution distance is calculated by
	//     L-inifinity norm.
	//  2. For numerical feature, the distribution distance is calculated by
	//     Jensen–Shannon divergence.
	DistributionDeviation float64 `protobuf:"fixed64,5,opt,name=distribution_deviation,json=distributionDeviation,proto3" json:"distribution_deviation,omitempty"`
	// This is the threshold used when detecting anomalies.
	// The threshold can be changed by user, so this one might be different from
	// [ThresholdConfig.value][google.cloud.aiplatform.v1.ThresholdConfig.value].
	AnomalyDetectionThreshold float64 `protobuf:"fixed64,9,opt,name=anomaly_detection_threshold,json=anomalyDetectionThreshold,proto3" json:"anomaly_detection_threshold,omitempty"`
	// The start timestamp of window where stats were generated.
	// For objectives where time window doesn't make sense (e.g. Featurestore
	// Snapshot Monitoring), start_time is only used to indicate the monitoring
	// intervals, so it always equals to (end_time - monitoring_interval).
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// The end timestamp of window where stats were generated.
	// For objectives where time window doesn't make sense (e.g. Featurestore
	// Snapshot Monitoring), end_time indicates the timestamp of the data used to
	// generate stats (e.g. timestamp we take snapshots for feature values).
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display.

func (*FeatureStatsAnomaly) Descriptor 

func (*FeatureStatsAnomaly) Descriptor() ([]byte, []int)

Deprecated: Use FeatureStatsAnomaly.ProtoReflect.Descriptor instead.

func (*FeatureStatsAnomaly) GetAnomalyDetectionThreshold 

func (x *FeatureStatsAnomaly) GetAnomalyDetectionThreshold() float64

func (*FeatureStatsAnomaly) GetAnomalyUri 

func (x *FeatureStatsAnomaly) GetAnomalyUri() string

func (*FeatureStatsAnomaly) GetDistributionDeviation 

func (x *FeatureStatsAnomaly) GetDistributionDeviation() float64

func (*FeatureStatsAnomaly) GetEndTime 

func (x *FeatureStatsAnomaly) GetEndTime() *timestamppb.Timestamp

func (*FeatureStatsAnomaly) GetScore 

func (x *FeatureStatsAnomaly) GetScore() float64

func (*FeatureStatsAnomaly) GetStartTime 

func (x *FeatureStatsAnomaly) GetStartTime() *timestamppb.Timestamp

func (*FeatureStatsAnomaly) GetStatsUri 

func (x *FeatureStatsAnomaly) GetStatsUri() string

func (*FeatureStatsAnomaly) ProtoMessage 

func (*FeatureStatsAnomaly) ProtoMessage()

func (*FeatureStatsAnomaly) ProtoReflect 

func (x *FeatureStatsAnomaly) ProtoReflect() protoreflect.Message

func (*FeatureStatsAnomaly) Reset 

func (x *FeatureStatsAnomaly) Reset()

func (*FeatureStatsAnomaly) String 

func (x *FeatureStatsAnomaly) String() string

type FeatureValue 

type FeatureValue struct {

	// Value for the feature.
	//
	// Types that are assignable to Value:
	//
	//	*FeatureValue_BoolValue
	//	*FeatureValue_DoubleValue
	//	*FeatureValue_Int64Value
	//	*FeatureValue_StringValue
	//	*FeatureValue_BoolArrayValue
	//	*FeatureValue_DoubleArrayValue
	//	*FeatureValue_Int64ArrayValue
	//	*FeatureValue_StringArrayValue
	//	*FeatureValue_BytesValue
	//	*FeatureValue_StructValue
	Value isFeatureValue_Value `protobuf_oneof:"value"`
	// Metadata of feature value.
	Metadata *FeatureValue_Metadata `protobuf:"bytes,14,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

Value for a feature.

func (*FeatureValue) Descriptor 

func (*FeatureValue) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValue.ProtoReflect.Descriptor instead.

func (*FeatureValue) GetBoolArrayValue 

func (x *FeatureValue) GetBoolArrayValue() *BoolArray

func (*FeatureValue) GetBoolValue 

func (x *FeatureValue) GetBoolValue() bool

func (*FeatureValue) GetBytesValue 

func (x *FeatureValue) GetBytesValue() []byte

func (*FeatureValue) GetDoubleArrayValue 

func (x *FeatureValue) GetDoubleArrayValue() *DoubleArray

func (*FeatureValue) GetDoubleValue 

func (x *FeatureValue) GetDoubleValue() float64

func (*FeatureValue) GetInt64ArrayValue 

func (x *FeatureValue) GetInt64ArrayValue() *Int64Array

func (*FeatureValue) GetInt64Value 

func (x *FeatureValue) GetInt64Value() int64

func (*FeatureValue) GetMetadata 

func (x *FeatureValue) GetMetadata() *FeatureValue_Metadata

func (*FeatureValue) GetStringArrayValue 

func (x *FeatureValue) GetStringArrayValue() *StringArray

func (*FeatureValue) GetStringValue 

func (x *FeatureValue) GetStringValue() string

func (*FeatureValue) GetStructValue 

func (x *FeatureValue) GetStructValue() *StructValue

func (*FeatureValue) GetValue 

func (m *FeatureValue) GetValue() isFeatureValue_Value

func (*FeatureValue) ProtoMessage 

func (*FeatureValue) ProtoMessage()

func (*FeatureValue) ProtoReflect 

func (x *FeatureValue) ProtoReflect() protoreflect.Message

func (*FeatureValue) Reset 

func (x *FeatureValue) Reset()

func (*FeatureValue) String 

func (x *FeatureValue) String() string

type FeatureValueDestination 

type FeatureValueDestination struct {

	// Types that are assignable to Destination:
	//
	//	*FeatureValueDestination_BigqueryDestination
	//	*FeatureValueDestination_TfrecordDestination
	//	*FeatureValueDestination_CsvDestination
	Destination isFeatureValueDestination_Destination `protobuf_oneof:"destination"`
	// contains filtered or unexported fields
}

A destination location for Feature values and format.

func (*FeatureValueDestination) Descriptor 

func (*FeatureValueDestination) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValueDestination.ProtoReflect.Descriptor instead.

func (*FeatureValueDestination) GetBigqueryDestination 

func (x *FeatureValueDestination) GetBigqueryDestination() *BigQueryDestination

func (*FeatureValueDestination) GetCsvDestination 

func (x *FeatureValueDestination) GetCsvDestination() *CsvDestination

func (*FeatureValueDestination) GetDestination 

func (m *FeatureValueDestination) GetDestination() isFeatureValueDestination_Destination

func (*FeatureValueDestination) GetTfrecordDestination 

func (x *FeatureValueDestination) GetTfrecordDestination() *TFRecordDestination

func (*FeatureValueDestination) ProtoMessage 

func (*FeatureValueDestination) ProtoMessage()

func (*FeatureValueDestination) ProtoReflect 

func (x *FeatureValueDestination) ProtoReflect() protoreflect.Message

func (*FeatureValueDestination) Reset 

func (x *FeatureValueDestination) Reset()

func (*FeatureValueDestination) String 

func (x *FeatureValueDestination) String() string

type FeatureValueDestination_BigqueryDestination 

type FeatureValueDestination_BigqueryDestination struct {
	// Output in BigQuery format.
	// [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
	// in
	// [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
	// must refer to a table.
	BigqueryDestination *BigQueryDestination `protobuf:"bytes,1,opt,name=bigquery_destination,json=bigqueryDestination,proto3,oneof"`
}

type FeatureValueDestination_CsvDestination 

type FeatureValueDestination_CsvDestination struct {
	// Output in CSV format. Array Feature value types are not allowed in CSV
	// format.
	CsvDestination *CsvDestination `protobuf:"bytes,3,opt,name=csv_destination,json=csvDestination,proto3,oneof"`
}

type FeatureValueDestination_TfrecordDestination 

type FeatureValueDestination_TfrecordDestination struct {
	// Output in TFRecord format.
	//
	// Below are the mapping from Feature value type
	// in Featurestore to Feature value type in TFRecord:
	//
	//	Value type in Featurestore                 | Value type in TFRecord
	//	DOUBLE, DOUBLE_ARRAY                       | FLOAT_LIST
	//	INT64, INT64_ARRAY                         | INT64_LIST
	//	STRING, STRING_ARRAY, BYTES                | BYTES_LIST
	//	true -> byte_string("true"), false -> byte_string("false")
	//	BOOL, BOOL_ARRAY (true, false)             | BYTES_LIST
	TfrecordDestination *TFRecordDestination `protobuf:"bytes,2,opt,name=tfrecord_destination,json=tfrecordDestination,proto3,oneof"`
}

type FeatureValueList 

type FeatureValueList struct {

	// A list of feature values. All of them should be the same data type.
	Values []*FeatureValue `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Container for list of values.

func (*FeatureValueList) Descriptor 

func (*FeatureValueList) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValueList.ProtoReflect.Descriptor instead.

func (*FeatureValueList) GetValues 

func (x *FeatureValueList) GetValues() []*FeatureValue

func (*FeatureValueList) ProtoMessage 

func (*FeatureValueList) ProtoMessage()

func (*FeatureValueList) ProtoReflect 

func (x *FeatureValueList) ProtoReflect() protoreflect.Message

func (*FeatureValueList) Reset 

func (x *FeatureValueList) Reset()

func (*FeatureValueList) String 

func (x *FeatureValueList) String() string

type FeatureValue_BoolArrayValue 

type FeatureValue_BoolArrayValue struct {
	// A list of bool type feature value.
	BoolArrayValue *BoolArray `protobuf:"bytes,7,opt,name=bool_array_value,json=boolArrayValue,proto3,oneof"`
}

type FeatureValue_BoolValue 

type FeatureValue_BoolValue struct {
	// Bool type feature value.
	BoolValue bool `protobuf:"varint,1,opt,name=bool_value,json=boolValue,proto3,oneof"`
}

type FeatureValue_BytesValue 

type FeatureValue_BytesValue struct {
	// Bytes feature value.
	BytesValue []byte `protobuf:"bytes,13,opt,name=bytes_value,json=bytesValue,proto3,oneof"`
}

type FeatureValue_DoubleArrayValue 

type FeatureValue_DoubleArrayValue struct {
	// A list of double type feature value.
	DoubleArrayValue *DoubleArray `protobuf:"bytes,8,opt,name=double_array_value,json=doubleArrayValue,proto3,oneof"`
}

type FeatureValue_DoubleValue 

type FeatureValue_DoubleValue struct {
	// Double type feature value.
	DoubleValue float64 `protobuf:"fixed64,2,opt,name=double_value,json=doubleValue,proto3,oneof"`
}

type FeatureValue_Int64ArrayValue 

type FeatureValue_Int64ArrayValue struct {
	// A list of int64 type feature value.
	Int64ArrayValue *Int64Array `protobuf:"bytes,11,opt,name=int64_array_value,json=int64ArrayValue,proto3,oneof"`
}

type FeatureValue_Int64Value 

type FeatureValue_Int64Value struct {
	// Int64 feature value.
	Int64Value int64 `protobuf:"varint,5,opt,name=int64_value,json=int64Value,proto3,oneof"`
}

type FeatureValue_Metadata 

type FeatureValue_Metadata struct {

	// Feature generation timestamp. Typically, it is provided by user at
	// feature ingestion time. If not, feature store
	// will use the system timestamp when the data is ingested into feature
	// store. For streaming ingestion, the time, aligned by days, must be no
	// older than five years (1825 days) and no later than one year (366 days)
	// in the future.
	GenerateTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=generate_time,json=generateTime,proto3" json:"generate_time,omitempty"`
	// contains filtered or unexported fields
}

Metadata of feature value.

func (*FeatureValue_Metadata) Descriptor 

func (*FeatureValue_Metadata) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValue_Metadata.ProtoReflect.Descriptor instead.

func (*FeatureValue_Metadata) GetGenerateTime 

func (x *FeatureValue_Metadata) GetGenerateTime() *timestamppb.Timestamp

func (*FeatureValue_Metadata) ProtoMessage 

func (*FeatureValue_Metadata) ProtoMessage()

func (*FeatureValue_Metadata) ProtoReflect 

func (x *FeatureValue_Metadata) ProtoReflect() protoreflect.Message

func (*FeatureValue_Metadata) Reset 

func (x *FeatureValue_Metadata) Reset()

func (*FeatureValue_Metadata) String 

func (x *FeatureValue_Metadata) String() string

type FeatureValue_StringArrayValue 

type FeatureValue_StringArrayValue struct {
	// A list of string type feature value.
	StringArrayValue *StringArray `protobuf:"bytes,12,opt,name=string_array_value,json=stringArrayValue,proto3,oneof"`
}

type FeatureValue_StringValue 

type FeatureValue_StringValue struct {
	// String feature value.
	StringValue string `protobuf:"bytes,6,opt,name=string_value,json=stringValue,proto3,oneof"`
}

type FeatureValue_StructValue 

type FeatureValue_StructValue struct {
	// A struct type feature value.
	StructValue *StructValue `protobuf:"bytes,15,opt,name=struct_value,json=structValue,proto3,oneof"`
}

type FeatureView 

type FeatureView struct {

	// Types that are assignable to Source:
	//
	//	*FeatureView_BigQuerySource_
	//	*FeatureView_FeatureRegistrySource_
	//	*FeatureView_VertexRagSource_
	Source isFeatureView_Source `protobuf_oneof:"source"`
	// Identifier. Name of the FeatureView. Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this FeatureView was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this FeatureView was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,4,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The labels with user-defined metadata to organize your
	// FeatureViews.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one
	// FeatureOnlineStore(System labels are excluded)." System reserved label keys
	// are prefixed with "aiplatform.googleapis.com/" and are immutable.
	Labels map[string]string `protobuf:"bytes,5,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Configures when data is to be synced/updated for this FeatureView. At the
	// end of the sync the latest featureValues for each entityId of this
	// FeatureView are made ready for online serving.
	SyncConfig *FeatureView_SyncConfig `protobuf:"bytes,7,opt,name=sync_config,json=syncConfig,proto3" json:"sync_config,omitempty"`
	// Optional. Configuration for index preparation for vector search. It
	// contains the required configurations to create an index from source data,
	// so that approximate nearest neighbor (a.k.a ANN) algorithms search can be
	// performed during online serving.
	IndexConfig *FeatureView_IndexConfig `protobuf:"bytes,15,opt,name=index_config,json=indexConfig,proto3" json:"index_config,omitempty"`
	// Optional. Configuration for FeatureView created under Optimized
	// FeatureOnlineStore.
	OptimizedConfig *FeatureView_OptimizedConfig `protobuf:"bytes,16,opt,name=optimized_config,json=optimizedConfig,proto3" json:"optimized_config,omitempty"`
	// Optional. Service agent type used during data sync. By default, the Vertex
	// AI Service Agent is used. When using an IAM Policy to isolate this
	// FeatureView within a project, a separate service account should be
	// provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`.
	// This will generate a separate service account to access the BigQuery source
	// table.
	ServiceAgentType FeatureView_ServiceAgentType `protobuf:"varint,14,opt,name=service_agent_type,json=serviceAgentType,proto3,enum=google.cloud.aiplatform.v1.FeatureView_ServiceAgentType" json:"service_agent_type,omitempty"`
	// Output only. A Service Account unique to this FeatureView. The role
	// bigquery.dataViewer should be granted to this service account to allow
	// Vertex AI Feature Store to sync data to the online store.
	ServiceAccountEmail string `protobuf:"bytes,13,opt,name=service_account_email,json=serviceAccountEmail,proto3" json:"service_account_email,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,19,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,20,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.

func (*FeatureView) Descriptor 

func (*FeatureView) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView.ProtoReflect.Descriptor instead.

func (*FeatureView) GetBigQuerySource 

func (x *FeatureView) GetBigQuerySource() *FeatureView_BigQuerySource

func (*FeatureView) GetCreateTime 

func (x *FeatureView) GetCreateTime() *timestamppb.Timestamp

func (*FeatureView) GetEtag 

func (x *FeatureView) GetEtag() string

func (*FeatureView) GetFeatureRegistrySource 

func (x *FeatureView) GetFeatureRegistrySource() *FeatureView_FeatureRegistrySource

func (*FeatureView) GetIndexConfig 

func (x *FeatureView) GetIndexConfig() *FeatureView_IndexConfig

func (*FeatureView) GetLabels 

func (x *FeatureView) GetLabels() map[string]string

func (*FeatureView) GetName 

func (x *FeatureView) GetName() string

func (*FeatureView) GetOptimizedConfig 

func (x *FeatureView) GetOptimizedConfig() *FeatureView_OptimizedConfig

func (*FeatureView) GetSatisfiesPzi 

func (x *FeatureView) GetSatisfiesPzi() bool

func (*FeatureView) GetSatisfiesPzs 

func (x *FeatureView) GetSatisfiesPzs() bool

func (*FeatureView) GetServiceAccountEmail 

func (x *FeatureView) GetServiceAccountEmail() string

func (*FeatureView) GetServiceAgentType 

func (x *FeatureView) GetServiceAgentType() FeatureView_ServiceAgentType

func (*FeatureView) GetSource 

func (m *FeatureView) GetSource() isFeatureView_Source

func (*FeatureView) GetSyncConfig 

func (x *FeatureView) GetSyncConfig() *FeatureView_SyncConfig

func (*FeatureView) GetUpdateTime 

func (x *FeatureView) GetUpdateTime() *timestamppb.Timestamp

func (*FeatureView) GetVertexRagSource 

func (x *FeatureView) GetVertexRagSource() *FeatureView_VertexRagSource

func (*FeatureView) ProtoMessage 

func (*FeatureView) ProtoMessage()

func (*FeatureView) ProtoReflect 

func (x *FeatureView) ProtoReflect() protoreflect.Message

func (*FeatureView) Reset 

func (x *FeatureView) Reset()

func (*FeatureView) String 

func (x *FeatureView) String() string

type FeatureViewDataFormat 

type FeatureViewDataFormat int32

Format of the data in the Feature View. 

const (
	// Not set. Will be treated as the KeyValue format.
	FeatureViewDataFormat_FEATURE_VIEW_DATA_FORMAT_UNSPECIFIED FeatureViewDataFormat = 0
	// Return response data in key-value format.
	FeatureViewDataFormat_KEY_VALUE FeatureViewDataFormat = 1
	// Return response data in proto Struct format.
	FeatureViewDataFormat_PROTO_STRUCT FeatureViewDataFormat = 2
)

func (FeatureViewDataFormat) Descriptor 

func (FeatureViewDataFormat) Descriptor() protoreflect.EnumDescriptor

func (FeatureViewDataFormat) Enum 

func (x FeatureViewDataFormat) Enum() *FeatureViewDataFormat

func (FeatureViewDataFormat) EnumDescriptor 

func (FeatureViewDataFormat) EnumDescriptor() ([]byte, []int)

Deprecated: Use FeatureViewDataFormat.Descriptor instead.

func (FeatureViewDataFormat) Number 

func (x FeatureViewDataFormat) Number() protoreflect.EnumNumber

func (FeatureViewDataFormat) String 

func (x FeatureViewDataFormat) String() string

func (FeatureViewDataFormat) Type 

func (FeatureViewDataFormat) Type() protoreflect.EnumType

type FeatureViewDataKey 

type FeatureViewDataKey struct {

	// Types that are assignable to KeyOneof:
	//
	//	*FeatureViewDataKey_Key
	//	*FeatureViewDataKey_CompositeKey_
	KeyOneof isFeatureViewDataKey_KeyOneof `protobuf_oneof:"key_oneof"`
	// contains filtered or unexported fields
}

Lookup key for a feature view.

func (*FeatureViewDataKey) Descriptor 

func (*FeatureViewDataKey) Descriptor() ([]byte, []int)

Deprecated: Use FeatureViewDataKey.ProtoReflect.Descriptor instead.

func (*FeatureViewDataKey) GetCompositeKey 

func (x *FeatureViewDataKey) GetCompositeKey() *FeatureViewDataKey_CompositeKey

func (*FeatureViewDataKey) GetKey 

func (x *FeatureViewDataKey) GetKey() string

func (*FeatureViewDataKey) GetKeyOneof 

func (m *FeatureViewDataKey) GetKeyOneof() isFeatureViewDataKey_KeyOneof

func (*FeatureViewDataKey) ProtoMessage 

func (*FeatureViewDataKey) ProtoMessage()

func (*FeatureViewDataKey) ProtoReflect 

func (x *FeatureViewDataKey) ProtoReflect() protoreflect.Message

func (*FeatureViewDataKey) Reset 

func (x *FeatureViewDataKey) Reset()

func (*FeatureViewDataKey) String 

func (x *FeatureViewDataKey) String() string

type FeatureViewDataKey_CompositeKey 

type FeatureViewDataKey_CompositeKey struct {

	// Parts to construct Entity ID. Should match with the same ID columns as
	// defined in FeatureView in the same order.
	Parts []string `protobuf:"bytes,1,rep,name=parts,proto3" json:"parts,omitempty"`
	// contains filtered or unexported fields
}

ID that is comprised from several parts (columns).

func (*FeatureViewDataKey_CompositeKey) Descriptor 

func (*FeatureViewDataKey_CompositeKey) Descriptor() ([]byte, []int)

Deprecated: Use FeatureViewDataKey_CompositeKey.ProtoReflect.Descriptor instead.

func (*FeatureViewDataKey_CompositeKey) GetParts 

func (x *FeatureViewDataKey_CompositeKey) GetParts() []string

func (*FeatureViewDataKey_CompositeKey) ProtoMessage 

func (*FeatureViewDataKey_CompositeKey) ProtoMessage()

func (*FeatureViewDataKey_CompositeKey) ProtoReflect 

func (x *FeatureViewDataKey_CompositeKey) ProtoReflect() protoreflect.Message

func (*FeatureViewDataKey_CompositeKey) Reset 

func (x *FeatureViewDataKey_CompositeKey) Reset()

func (*FeatureViewDataKey_CompositeKey) String 

func (x *FeatureViewDataKey_CompositeKey) String() string

type FeatureViewDataKey_CompositeKey_ 

type FeatureViewDataKey_CompositeKey_ struct {
	// The actual Entity ID will be composed from this struct. This should match
	// with the way ID is defined in the FeatureView spec.
	CompositeKey *FeatureViewDataKey_CompositeKey `protobuf:"bytes,2,opt,name=composite_key,json=compositeKey,proto3,oneof"`
}

type FeatureViewDataKey_Key 

type FeatureViewDataKey_Key struct {
	// String key to use for lookup.
	Key string `protobuf:"bytes,1,opt,name=key,proto3,oneof"`
}

type FeatureViewSync 

type FeatureViewSync struct {

	// Identifier. Name of the FeatureViewSync. Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/{feature_view_sync}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Time when this FeatureViewSync is created. Creation of a
	// FeatureViewSync means that the job is pending / waiting for sufficient
	// resources but may not have started the actual data transfer yet.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when this FeatureViewSync is finished.
	RunTime *interval.Interval `protobuf:"bytes,5,opt,name=run_time,json=runTime,proto3" json:"run_time,omitempty"`
	// Output only. Final status of the FeatureViewSync.
	FinalStatus *status.Status `protobuf:"bytes,4,opt,name=final_status,json=finalStatus,proto3" json:"final_status,omitempty"`
	// Output only. Summary of the sync job.
	SyncSummary *FeatureViewSync_SyncSummary `protobuf:"bytes,6,opt,name=sync_summary,json=syncSummary,proto3" json:"sync_summary,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,7,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,8,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

FeatureViewSync is a representation of sync operation which copies data from data source to Feature View in Online Store.

func (*FeatureViewSync) Descriptor 

func (*FeatureViewSync) Descriptor() ([]byte, []int)

Deprecated: Use FeatureViewSync.ProtoReflect.Descriptor instead.

func (*FeatureViewSync) GetCreateTime 

func (x *FeatureViewSync) GetCreateTime() *timestamppb.Timestamp

func (*FeatureViewSync) GetFinalStatus 

func (x *FeatureViewSync) GetFinalStatus() *status.Status

func (*FeatureViewSync) GetName 

func (x *FeatureViewSync) GetName() string

func (*FeatureViewSync) GetRunTime 

func (x *FeatureViewSync) GetRunTime() *interval.Interval

func (*FeatureViewSync) GetSatisfiesPzi 

func (x *FeatureViewSync) GetSatisfiesPzi() bool

func (*FeatureViewSync) GetSatisfiesPzs 

func (x *FeatureViewSync) GetSatisfiesPzs() bool

func (*FeatureViewSync) GetSyncSummary 

func (x *FeatureViewSync) GetSyncSummary() *FeatureViewSync_SyncSummary

func (*FeatureViewSync) ProtoMessage 

func (*FeatureViewSync) ProtoMessage()

func (*FeatureViewSync) ProtoReflect 

func (x *FeatureViewSync) ProtoReflect() protoreflect.Message

func (*FeatureViewSync) Reset 

func (x *FeatureViewSync) Reset()

func (*FeatureViewSync) String 

func (x *FeatureViewSync) String() string

type FeatureViewSync_SyncSummary 

type FeatureViewSync_SyncSummary struct {

	// Output only. Total number of rows synced.
	RowSynced int64 `protobuf:"varint,1,opt,name=row_synced,json=rowSynced,proto3" json:"row_synced,omitempty"`
	// Output only. BigQuery slot milliseconds consumed for the sync job.
	TotalSlot int64 `protobuf:"varint,2,opt,name=total_slot,json=totalSlot,proto3" json:"total_slot,omitempty"`
	// Lower bound of the system time watermark for the sync job. This is only
	// set for continuously syncing feature views.
	SystemWatermarkTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=system_watermark_time,json=systemWatermarkTime,proto3" json:"system_watermark_time,omitempty"`
	// contains filtered or unexported fields
}

Summary from the Sync job. For continuous syncs, the summary is updated periodically. For batch syncs, it gets updated on completion of the sync.

func (*FeatureViewSync_SyncSummary) Descriptor 

func (*FeatureViewSync_SyncSummary) Descriptor() ([]byte, []int)

Deprecated: Use FeatureViewSync_SyncSummary.ProtoReflect.Descriptor instead.

func (*FeatureViewSync_SyncSummary) GetRowSynced 

func (x *FeatureViewSync_SyncSummary) GetRowSynced() int64

func (*FeatureViewSync_SyncSummary) GetSystemWatermarkTime 

func (x *FeatureViewSync_SyncSummary) GetSystemWatermarkTime() *timestamppb.Timestamp

func (*FeatureViewSync_SyncSummary) GetTotalSlot 

func (x *FeatureViewSync_SyncSummary) GetTotalSlot() int64

func (*FeatureViewSync_SyncSummary) ProtoMessage 

func (*FeatureViewSync_SyncSummary) ProtoMessage()

func (*FeatureViewSync_SyncSummary) ProtoReflect 

func (x *FeatureViewSync_SyncSummary) ProtoReflect() protoreflect.Message

func (*FeatureViewSync_SyncSummary) Reset 

func (x *FeatureViewSync_SyncSummary) Reset()

func (*FeatureViewSync_SyncSummary) String 

func (x *FeatureViewSync_SyncSummary) String() string

type FeatureView_BigQuerySource 

type FeatureView_BigQuerySource struct {

	// Required. The BigQuery view URI that will be materialized on each sync
	// trigger based on FeatureView.SyncConfig.
	Uri string `protobuf:"bytes,1,opt,name=uri,proto3" json:"uri,omitempty"`
	// Required. Columns to construct entity_id / row keys.
	EntityIdColumns []string `protobuf:"bytes,2,rep,name=entity_id_columns,json=entityIdColumns,proto3" json:"entity_id_columns,omitempty"`
	// contains filtered or unexported fields
}

func (*FeatureView_BigQuerySource) Descriptor 

func (*FeatureView_BigQuerySource) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView_BigQuerySource.ProtoReflect.Descriptor instead.

func (*FeatureView_BigQuerySource) GetEntityIdColumns 

func (x *FeatureView_BigQuerySource) GetEntityIdColumns() []string

func (*FeatureView_BigQuerySource) GetUri 

func (x *FeatureView_BigQuerySource) GetUri() string

func (*FeatureView_BigQuerySource) ProtoMessage 

func (*FeatureView_BigQuerySource) ProtoMessage()

func (*FeatureView_BigQuerySource) ProtoReflect 

func (x *FeatureView_BigQuerySource) ProtoReflect() protoreflect.Message

func (*FeatureView_BigQuerySource) Reset 

func (x *FeatureView_BigQuerySource) Reset()

func (*FeatureView_BigQuerySource) String 

func (x *FeatureView_BigQuerySource) String() string

type FeatureView_BigQuerySource_ 

type FeatureView_BigQuerySource_ struct {
	// Optional. Configures how data is supposed to be extracted from a BigQuery
	// source to be loaded onto the FeatureOnlineStore.
	BigQuerySource *FeatureView_BigQuerySource `protobuf:"bytes,6,opt,name=big_query_source,json=bigQuerySource,proto3,oneof"`
}

type FeatureView_FeatureRegistrySource 

type FeatureView_FeatureRegistrySource struct {

	// Required. List of features that need to be synced to Online Store.
	FeatureGroups []*FeatureView_FeatureRegistrySource_FeatureGroup `protobuf:"bytes,1,rep,name=feature_groups,json=featureGroups,proto3" json:"feature_groups,omitempty"`
	// Optional. The project number of the parent project of the Feature Groups.
	ProjectNumber *int64 `protobuf:"varint,2,opt,name=project_number,json=projectNumber,proto3,oneof" json:"project_number,omitempty"`
	// contains filtered or unexported fields
}

A Feature Registry source for features that need to be synced to Online Store.

func (*FeatureView_FeatureRegistrySource) Descriptor 

func (*FeatureView_FeatureRegistrySource) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView_FeatureRegistrySource.ProtoReflect.Descriptor instead.

func (*FeatureView_FeatureRegistrySource) GetFeatureGroups 

func (x *FeatureView_FeatureRegistrySource) GetFeatureGroups() []*FeatureView_FeatureRegistrySource_FeatureGroup

func (*FeatureView_FeatureRegistrySource) GetProjectNumber 

func (x *FeatureView_FeatureRegistrySource) GetProjectNumber() int64

func (*FeatureView_FeatureRegistrySource) ProtoMessage 

func (*FeatureView_FeatureRegistrySource) ProtoMessage()

func (*FeatureView_FeatureRegistrySource) ProtoReflect 

func (x *FeatureView_FeatureRegistrySource) ProtoReflect() protoreflect.Message

func (*FeatureView_FeatureRegistrySource) Reset 

func (x *FeatureView_FeatureRegistrySource) Reset()

func (*FeatureView_FeatureRegistrySource) String 

func (x *FeatureView_FeatureRegistrySource) String() string

type FeatureView_FeatureRegistrySource_ 

type FeatureView_FeatureRegistrySource_ struct {
	// Optional. Configures the features from a Feature Registry source that
	// need to be loaded onto the FeatureOnlineStore.
	FeatureRegistrySource *FeatureView_FeatureRegistrySource `protobuf:"bytes,9,opt,name=feature_registry_source,json=featureRegistrySource,proto3,oneof"`
}

type FeatureView_FeatureRegistrySource_FeatureGroup 

type FeatureView_FeatureRegistrySource_FeatureGroup struct {

	// Required. Identifier of the feature group.
	FeatureGroupId string `protobuf:"bytes,1,opt,name=feature_group_id,json=featureGroupId,proto3" json:"feature_group_id,omitempty"`
	// Required. Identifiers of features under the feature group.
	FeatureIds []string `protobuf:"bytes,2,rep,name=feature_ids,json=featureIds,proto3" json:"feature_ids,omitempty"`
	// contains filtered or unexported fields
}

Features belonging to a single feature group that will be synced to Online Store.

func (*FeatureView_FeatureRegistrySource_FeatureGroup) Descriptor 

func (*FeatureView_FeatureRegistrySource_FeatureGroup) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView_FeatureRegistrySource_FeatureGroup.ProtoReflect.Descriptor instead.

func (*FeatureView_FeatureRegistrySource_FeatureGroup) GetFeatureGroupId 

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) GetFeatureGroupId() string

func (*FeatureView_FeatureRegistrySource_FeatureGroup) GetFeatureIds 

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) GetFeatureIds() []string

func (*FeatureView_FeatureRegistrySource_FeatureGroup) ProtoMessage 

func (*FeatureView_FeatureRegistrySource_FeatureGroup) ProtoMessage()

func (*FeatureView_FeatureRegistrySource_FeatureGroup) ProtoReflect 

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) ProtoReflect() protoreflect.Message

func (*FeatureView_FeatureRegistrySource_FeatureGroup) Reset 

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) Reset()

func (*FeatureView_FeatureRegistrySource_FeatureGroup) String 

func (x *FeatureView_FeatureRegistrySource_FeatureGroup) String() string

type FeatureView_IndexConfig 

type FeatureView_IndexConfig struct {

	// The configuration with regard to the algorithms used for efficient
	// search.
	//
	// Types that are assignable to AlgorithmConfig:
	//
	//	*FeatureView_IndexConfig_TreeAhConfig
	//	*FeatureView_IndexConfig_BruteForceConfig_
	AlgorithmConfig isFeatureView_IndexConfig_AlgorithmConfig `protobuf_oneof:"algorithm_config"`
	// Optional. Column of embedding. This column contains the source data to
	// create index for vector search. embedding_column must be set when using
	// vector search.
	EmbeddingColumn string `protobuf:"bytes,1,opt,name=embedding_column,json=embeddingColumn,proto3" json:"embedding_column,omitempty"`
	// Optional. Columns of features that're used to filter vector search
	// results.
	FilterColumns []string `protobuf:"bytes,2,rep,name=filter_columns,json=filterColumns,proto3" json:"filter_columns,omitempty"`
	// Optional. Column of crowding. This column contains crowding attribute
	// which is a constraint on a neighbor list produced by
	// [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities]
	// to diversify search results. If
	// [NearestNeighborQuery.per_crowding_attribute_neighbor_count][google.cloud.aiplatform.v1.NearestNeighborQuery.per_crowding_attribute_neighbor_count]
	// is set to K in
	// [SearchNearestEntitiesRequest][google.cloud.aiplatform.v1.SearchNearestEntitiesRequest],
	// it's guaranteed that no more than K entities of the same crowding
	// attribute are returned in the response.
	CrowdingColumn string `protobuf:"bytes,3,opt,name=crowding_column,json=crowdingColumn,proto3" json:"crowding_column,omitempty"`
	// Optional. The number of dimensions of the input embedding.
	EmbeddingDimension *int32 `protobuf:"varint,4,opt,name=embedding_dimension,json=embeddingDimension,proto3,oneof" json:"embedding_dimension,omitempty"`
	// Optional. The distance measure used in nearest neighbor search.
	DistanceMeasureType FeatureView_IndexConfig_DistanceMeasureType `protobuf:"varint,5,opt,name=distance_measure_type,json=distanceMeasureType,proto3,enum=google.cloud.aiplatform.v1.FeatureView_IndexConfig_DistanceMeasureType" json:"distance_measure_type,omitempty"`
	// contains filtered or unexported fields
}

Configuration for vector indexing.

func (*FeatureView_IndexConfig) Descriptor 

func (*FeatureView_IndexConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView_IndexConfig.ProtoReflect.Descriptor instead.

func (*FeatureView_IndexConfig) GetAlgorithmConfig 

func (m *FeatureView_IndexConfig) GetAlgorithmConfig() isFeatureView_IndexConfig_AlgorithmConfig

func (*FeatureView_IndexConfig) GetBruteForceConfig 

func (x *FeatureView_IndexConfig) GetBruteForceConfig() *FeatureView_IndexConfig_BruteForceConfig

func (*FeatureView_IndexConfig) GetCrowdingColumn 

func (x *FeatureView_IndexConfig) GetCrowdingColumn() string

func (*FeatureView_IndexConfig) GetDistanceMeasureType 

func (x *FeatureView_IndexConfig) GetDistanceMeasureType() FeatureView_IndexConfig_DistanceMeasureType

func (*FeatureView_IndexConfig) GetEmbeddingColumn 

func (x *FeatureView_IndexConfig) GetEmbeddingColumn() string

func (*FeatureView_IndexConfig) GetEmbeddingDimension 

func (x *FeatureView_IndexConfig) GetEmbeddingDimension() int32

func (*FeatureView_IndexConfig) GetFilterColumns 

func (x *FeatureView_IndexConfig) GetFilterColumns() []string

func (*FeatureView_IndexConfig) GetTreeAhConfig 

func (x *FeatureView_IndexConfig) GetTreeAhConfig() *FeatureView_IndexConfig_TreeAHConfig

func (*FeatureView_IndexConfig) ProtoMessage 

func (*FeatureView_IndexConfig) ProtoMessage()

func (*FeatureView_IndexConfig) ProtoReflect 

func (x *FeatureView_IndexConfig) ProtoReflect() protoreflect.Message

func (*FeatureView_IndexConfig) Reset 

func (x *FeatureView_IndexConfig) Reset()

func (*FeatureView_IndexConfig) String 

func (x *FeatureView_IndexConfig) String() string

type FeatureView_IndexConfig_BruteForceConfig 

type FeatureView_IndexConfig_BruteForceConfig struct {
	// contains filtered or unexported fields
}

Configuration options for using brute force search.

func (*FeatureView_IndexConfig_BruteForceConfig) Descriptor 

func (*FeatureView_IndexConfig_BruteForceConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView_IndexConfig_BruteForceConfig.ProtoReflect.Descriptor instead.

func (*FeatureView_IndexConfig_BruteForceConfig) ProtoMessage 

func (*FeatureView_IndexConfig_BruteForceConfig) ProtoMessage()

func (*FeatureView_IndexConfig_BruteForceConfig) ProtoReflect 

func (x *FeatureView_IndexConfig_BruteForceConfig) ProtoReflect() protoreflect.Message

func (*FeatureView_IndexConfig_BruteForceConfig) Reset 

func (x *FeatureView_IndexConfig_BruteForceConfig) Reset()

func (*FeatureView_IndexConfig_BruteForceConfig) String 

func (x *FeatureView_IndexConfig_BruteForceConfig) String() string

type FeatureView_IndexConfig_BruteForceConfig_ 

type FeatureView_IndexConfig_BruteForceConfig_ struct {
	// Optional. Configuration options for using brute force search, which
	// simply implements the standard linear search in the database for each
	// query. It is primarily meant for benchmarking and to generate the
	// ground truth for approximate search.
	BruteForceConfig *FeatureView_IndexConfig_BruteForceConfig `protobuf:"bytes,7,opt,name=brute_force_config,json=bruteForceConfig,proto3,oneof"`
}

type FeatureView_IndexConfig_DistanceMeasureType 

type FeatureView_IndexConfig_DistanceMeasureType int32

The distance measure used in nearest neighbor search. 

const (
	// Should not be set.
	FeatureView_IndexConfig_DISTANCE_MEASURE_TYPE_UNSPECIFIED FeatureView_IndexConfig_DistanceMeasureType = 0
	// Euclidean (L_2) Distance.
	FeatureView_IndexConfig_SQUARED_L2_DISTANCE FeatureView_IndexConfig_DistanceMeasureType = 1
	// Cosine Distance. Defined as 1 - cosine similarity.
	//
	// We strongly suggest using DOT_PRODUCT_DISTANCE + UNIT_L2_NORM instead
	// of COSINE distance. Our algorithms have been more optimized for
	// DOT_PRODUCT distance which, when combined with UNIT_L2_NORM, is
	// mathematically equivalent to COSINE distance and results in the same
	// ranking.
	FeatureView_IndexConfig_COSINE_DISTANCE FeatureView_IndexConfig_DistanceMeasureType = 2
	// Dot Product Distance. Defined as a negative of the dot product.
	FeatureView_IndexConfig_DOT_PRODUCT_DISTANCE FeatureView_IndexConfig_DistanceMeasureType = 3
)

func (FeatureView_IndexConfig_DistanceMeasureType) Descriptor 

func (FeatureView_IndexConfig_DistanceMeasureType) Descriptor() protoreflect.EnumDescriptor

func (FeatureView_IndexConfig_DistanceMeasureType) Enum 

func (x FeatureView_IndexConfig_DistanceMeasureType) Enum() *FeatureView_IndexConfig_DistanceMeasureType

func (FeatureView_IndexConfig_DistanceMeasureType) EnumDescriptor 

func (FeatureView_IndexConfig_DistanceMeasureType) EnumDescriptor() ([]byte, []int)

Deprecated: Use FeatureView_IndexConfig_DistanceMeasureType.Descriptor instead.

func (FeatureView_IndexConfig_DistanceMeasureType) Number 

func (x FeatureView_IndexConfig_DistanceMeasureType) Number() protoreflect.EnumNumber

func (FeatureView_IndexConfig_DistanceMeasureType) String 

func (x FeatureView_IndexConfig_DistanceMeasureType) String() string

func (FeatureView_IndexConfig_DistanceMeasureType) Type 

func (FeatureView_IndexConfig_DistanceMeasureType) Type() protoreflect.EnumType

type FeatureView_IndexConfig_TreeAHConfig 

type FeatureView_IndexConfig_TreeAHConfig struct {

	// Optional. Number of embeddings on each leaf node. The default value is
	// 1000 if not set.
	LeafNodeEmbeddingCount *int64 `protobuf:"varint,1,opt,name=leaf_node_embedding_count,json=leafNodeEmbeddingCount,proto3,oneof" json:"leaf_node_embedding_count,omitempty"`
	// contains filtered or unexported fields
}

Configuration options for the tree-AH algorithm.

func (*FeatureView_IndexConfig_TreeAHConfig) Descriptor 

func (*FeatureView_IndexConfig_TreeAHConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView_IndexConfig_TreeAHConfig.ProtoReflect.Descriptor instead.

func (*FeatureView_IndexConfig_TreeAHConfig) GetLeafNodeEmbeddingCount 

func (x *FeatureView_IndexConfig_TreeAHConfig) GetLeafNodeEmbeddingCount() int64

func (*FeatureView_IndexConfig_TreeAHConfig) ProtoMessage 

func (*FeatureView_IndexConfig_TreeAHConfig) ProtoMessage()

func (*FeatureView_IndexConfig_TreeAHConfig) ProtoReflect 

func (x *FeatureView_IndexConfig_TreeAHConfig) ProtoReflect() protoreflect.Message

func (*FeatureView_IndexConfig_TreeAHConfig) Reset 

func (x *FeatureView_IndexConfig_TreeAHConfig) Reset()

func (*FeatureView_IndexConfig_TreeAHConfig) String 

func (x *FeatureView_IndexConfig_TreeAHConfig) String() string

type FeatureView_IndexConfig_TreeAhConfig 

type FeatureView_IndexConfig_TreeAhConfig struct {
	// Optional. Configuration options for the tree-AH algorithm (Shallow tree
	// + Asymmetric Hashing). Please refer to this paper for more details:
	// https://arxiv.org/abs/1908.10396
	TreeAhConfig *FeatureView_IndexConfig_TreeAHConfig `protobuf:"bytes,6,opt,name=tree_ah_config,json=treeAhConfig,proto3,oneof"`
}

type FeatureView_OptimizedConfig 

type FeatureView_OptimizedConfig struct {

	// Optional. A description of resources that the FeatureView uses, which to
	// large degree are decided by Vertex AI, and optionally allows only a
	// modest additional configuration. If min_replica_count is not set, the
	// default value is 2. If max_replica_count is not set, the default value
	// is 6. The max allowed replica count is 1000.
	AutomaticResources *AutomaticResources `protobuf:"bytes,7,opt,name=automatic_resources,json=automaticResources,proto3" json:"automatic_resources,omitempty"`
	// contains filtered or unexported fields
}

Configuration for FeatureViews created in Optimized FeatureOnlineStore.

func (*FeatureView_OptimizedConfig) Descriptor 

func (*FeatureView_OptimizedConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView_OptimizedConfig.ProtoReflect.Descriptor instead.

func (*FeatureView_OptimizedConfig) GetAutomaticResources 

func (x *FeatureView_OptimizedConfig) GetAutomaticResources() *AutomaticResources

func (*FeatureView_OptimizedConfig) ProtoMessage 

func (*FeatureView_OptimizedConfig) ProtoMessage()

func (*FeatureView_OptimizedConfig) ProtoReflect 

func (x *FeatureView_OptimizedConfig) ProtoReflect() protoreflect.Message

func (*FeatureView_OptimizedConfig) Reset 

func (x *FeatureView_OptimizedConfig) Reset()

func (*FeatureView_OptimizedConfig) String 

func (x *FeatureView_OptimizedConfig) String() string

type FeatureView_ServiceAgentType 

type FeatureView_ServiceAgentType int32

Service agent type used during data sync. 

const (
	// By default, the project-level Vertex AI Service Agent is enabled.
	FeatureView_SERVICE_AGENT_TYPE_UNSPECIFIED FeatureView_ServiceAgentType = 0
	// Indicates the project-level Vertex AI Service Agent
	// (https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
	// will be used during sync jobs.
	FeatureView_SERVICE_AGENT_TYPE_PROJECT FeatureView_ServiceAgentType = 1
	// Enable a FeatureView service account to be created by Vertex AI and
	// output in the field `service_account_email`. This service account will
	// be used to read from the source BigQuery table during sync.
	FeatureView_SERVICE_AGENT_TYPE_FEATURE_VIEW FeatureView_ServiceAgentType = 2
)

func (FeatureView_ServiceAgentType) Descriptor 

func (FeatureView_ServiceAgentType) Descriptor() protoreflect.EnumDescriptor

func (FeatureView_ServiceAgentType) Enum 

func (x FeatureView_ServiceAgentType) Enum() *FeatureView_ServiceAgentType

func (FeatureView_ServiceAgentType) EnumDescriptor 

func (FeatureView_ServiceAgentType) EnumDescriptor() ([]byte, []int)

Deprecated: Use FeatureView_ServiceAgentType.Descriptor instead.

func (FeatureView_ServiceAgentType) Number 

func (x FeatureView_ServiceAgentType) Number() protoreflect.EnumNumber

func (FeatureView_ServiceAgentType) String 

func (x FeatureView_ServiceAgentType) String() string

func (FeatureView_ServiceAgentType) Type 

func (FeatureView_ServiceAgentType) Type() protoreflect.EnumType

type FeatureView_SyncConfig 

type FeatureView_SyncConfig struct {

	// Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled
	// runs. To explicitly set a timezone to the cron tab, apply a prefix in
	// the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}".
	// The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone
	// database. For example, "CRON_TZ=America/New_York 1 * * * *", or
	// "TZ=America/New_York 1 * * * *".
	Cron string `protobuf:"bytes,1,opt,name=cron,proto3" json:"cron,omitempty"`
	// Optional. If true, syncs the FeatureView in a continuous manner to Online
	// Store.
	Continuous bool `protobuf:"varint,2,opt,name=continuous,proto3" json:"continuous,omitempty"`
	// contains filtered or unexported fields
}

Configuration for Sync. Only one option is set.

func (*FeatureView_SyncConfig) Descriptor 

func (*FeatureView_SyncConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView_SyncConfig.ProtoReflect.Descriptor instead.

func (*FeatureView_SyncConfig) GetContinuous 

func (x *FeatureView_SyncConfig) GetContinuous() bool

func (*FeatureView_SyncConfig) GetCron 

func (x *FeatureView_SyncConfig) GetCron() string

func (*FeatureView_SyncConfig) ProtoMessage 

func (*FeatureView_SyncConfig) ProtoMessage()

func (*FeatureView_SyncConfig) ProtoReflect 

func (x *FeatureView_SyncConfig) ProtoReflect() protoreflect.Message

func (*FeatureView_SyncConfig) Reset 

func (x *FeatureView_SyncConfig) Reset()

func (*FeatureView_SyncConfig) String 

func (x *FeatureView_SyncConfig) String() string

type FeatureView_VertexRagSource 

type FeatureView_VertexRagSource struct {

	// Required. The BigQuery view/table URI that will be materialized on each
	// manual sync trigger. The table/view is expected to have the following
	// columns and types at least:
	//   - `corpus_id` (STRING, NULLABLE/REQUIRED)
	//   - `file_id` (STRING, NULLABLE/REQUIRED)
	//   - `chunk_id` (STRING, NULLABLE/REQUIRED)
	//   - `chunk_data_type` (STRING, NULLABLE/REQUIRED)
	//   - `chunk_data` (STRING, NULLABLE/REQUIRED)
	//   - `embeddings` (FLOAT, REPEATED)
	//   - `file_original_uri` (STRING, NULLABLE/REQUIRED)
	Uri string `protobuf:"bytes,1,opt,name=uri,proto3" json:"uri,omitempty"`
	// Optional. The RAG corpus id corresponding to this FeatureView.
	RagCorpusId int64 `protobuf:"varint,2,opt,name=rag_corpus_id,json=ragCorpusId,proto3" json:"rag_corpus_id,omitempty"`
	// contains filtered or unexported fields
}

A Vertex Rag source for features that need to be synced to Online Store.

func (*FeatureView_VertexRagSource) Descriptor 

func (*FeatureView_VertexRagSource) Descriptor() ([]byte, []int)

Deprecated: Use FeatureView_VertexRagSource.ProtoReflect.Descriptor instead.

func (*FeatureView_VertexRagSource) GetRagCorpusId 

func (x *FeatureView_VertexRagSource) GetRagCorpusId() int64

func (*FeatureView_VertexRagSource) GetUri 

func (x *FeatureView_VertexRagSource) GetUri() string

func (*FeatureView_VertexRagSource) ProtoMessage 

func (*FeatureView_VertexRagSource) ProtoMessage()

func (*FeatureView_VertexRagSource) ProtoReflect 

func (x *FeatureView_VertexRagSource) ProtoReflect() protoreflect.Message

func (*FeatureView_VertexRagSource) Reset 

func (x *FeatureView_VertexRagSource) Reset()

func (*FeatureView_VertexRagSource) String 

func (x *FeatureView_VertexRagSource) String() string

type FeatureView_VertexRagSource_ 

type FeatureView_VertexRagSource_ struct {
	// Optional. The Vertex RAG Source that the FeatureView is linked to.
	VertexRagSource *FeatureView_VertexRagSource `protobuf:"bytes,18,opt,name=vertex_rag_source,json=vertexRagSource,proto3,oneof"`
}

type Feature_MonitoringStatsAnomaly 

type Feature_MonitoringStatsAnomaly struct {

	// Output only. The objective for each stats.
	Objective Feature_MonitoringStatsAnomaly_Objective `protobuf:"varint,1,opt,name=objective,proto3,enum=google.cloud.aiplatform.v1.Feature_MonitoringStatsAnomaly_Objective" json:"objective,omitempty"`
	// Output only. The stats and anomalies generated at specific timestamp.
	FeatureStatsAnomaly *FeatureStatsAnomaly `protobuf:"bytes,2,opt,name=feature_stats_anomaly,json=featureStatsAnomaly,proto3" json:"feature_stats_anomaly,omitempty"`
	// contains filtered or unexported fields
}

A list of historical [SnapshotAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis] or [ImportFeaturesAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis] stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time] descending.

func (*Feature_MonitoringStatsAnomaly) Descriptor 

func (*Feature_MonitoringStatsAnomaly) Descriptor() ([]byte, []int)

Deprecated: Use Feature_MonitoringStatsAnomaly.ProtoReflect.Descriptor instead.

func (*Feature_MonitoringStatsAnomaly) GetFeatureStatsAnomaly 

func (x *Feature_MonitoringStatsAnomaly) GetFeatureStatsAnomaly() *FeatureStatsAnomaly

func (*Feature_MonitoringStatsAnomaly) GetObjective 

func (x *Feature_MonitoringStatsAnomaly) GetObjective() Feature_MonitoringStatsAnomaly_Objective

func (*Feature_MonitoringStatsAnomaly) ProtoMessage 

func (*Feature_MonitoringStatsAnomaly) ProtoMessage()

func (*Feature_MonitoringStatsAnomaly) ProtoReflect 

func (x *Feature_MonitoringStatsAnomaly) ProtoReflect() protoreflect.Message

func (*Feature_MonitoringStatsAnomaly) Reset 

func (x *Feature_MonitoringStatsAnomaly) Reset()

func (*Feature_MonitoringStatsAnomaly) String 

func (x *Feature_MonitoringStatsAnomaly) String() string

type Feature_MonitoringStatsAnomaly_Objective 

type Feature_MonitoringStatsAnomaly_Objective int32

If the objective in the request is both Import Feature Analysis and Snapshot Analysis, this objective could be one of them. Otherwise, this objective should be the same as the objective in the request. 

const (
	// If it's OBJECTIVE_UNSPECIFIED, monitoring_stats will be empty.
	Feature_MonitoringStatsAnomaly_OBJECTIVE_UNSPECIFIED Feature_MonitoringStatsAnomaly_Objective = 0
	// Stats are generated by Import Feature Analysis.
	Feature_MonitoringStatsAnomaly_IMPORT_FEATURE_ANALYSIS Feature_MonitoringStatsAnomaly_Objective = 1
	// Stats are generated by Snapshot Analysis.
	Feature_MonitoringStatsAnomaly_SNAPSHOT_ANALYSIS Feature_MonitoringStatsAnomaly_Objective = 2
)

func (Feature_MonitoringStatsAnomaly_Objective) Descriptor 

func (Feature_MonitoringStatsAnomaly_Objective) Descriptor() protoreflect.EnumDescriptor

func (Feature_MonitoringStatsAnomaly_Objective) Enum 

func (x Feature_MonitoringStatsAnomaly_Objective) Enum() *Feature_MonitoringStatsAnomaly_Objective

func (Feature_MonitoringStatsAnomaly_Objective) EnumDescriptor 

func (Feature_MonitoringStatsAnomaly_Objective) EnumDescriptor() ([]byte, []int)

Deprecated: Use Feature_MonitoringStatsAnomaly_Objective.Descriptor instead.

func (Feature_MonitoringStatsAnomaly_Objective) Number 

func (x Feature_MonitoringStatsAnomaly_Objective) Number() protoreflect.EnumNumber

func (Feature_MonitoringStatsAnomaly_Objective) String 

func (x Feature_MonitoringStatsAnomaly_Objective) String() string

func (Feature_MonitoringStatsAnomaly_Objective) Type 

func (Feature_MonitoringStatsAnomaly_Objective) Type() protoreflect.EnumType

type Feature_ValueType 

type Feature_ValueType int32

Only applicable for Vertex AI Legacy Feature Store. An enum representing the value type of a feature. 

const (
	// The value type is unspecified.
	Feature_VALUE_TYPE_UNSPECIFIED Feature_ValueType = 0
	// Used for Feature that is a boolean.
	Feature_BOOL Feature_ValueType = 1
	// Used for Feature that is a list of boolean.
	Feature_BOOL_ARRAY Feature_ValueType = 2
	// Used for Feature that is double.
	Feature_DOUBLE Feature_ValueType = 3
	// Used for Feature that is a list of double.
	Feature_DOUBLE_ARRAY Feature_ValueType = 4
	// Used for Feature that is INT64.
	Feature_INT64 Feature_ValueType = 9
	// Used for Feature that is a list of INT64.
	Feature_INT64_ARRAY Feature_ValueType = 10
	// Used for Feature that is string.
	Feature_STRING Feature_ValueType = 11
	// Used for Feature that is a list of String.
	Feature_STRING_ARRAY Feature_ValueType = 12
	// Used for Feature that is bytes.
	Feature_BYTES Feature_ValueType = 13
	// Used for Feature that is struct.
	Feature_STRUCT Feature_ValueType = 14
)

func (Feature_ValueType) Descriptor 

func (Feature_ValueType) Descriptor() protoreflect.EnumDescriptor

func (Feature_ValueType) Enum 

func (x Feature_ValueType) Enum() *Feature_ValueType

func (Feature_ValueType) EnumDescriptor 

func (Feature_ValueType) EnumDescriptor() ([]byte, []int)

Deprecated: Use Feature_ValueType.Descriptor instead.

func (Feature_ValueType) Number 

func (x Feature_ValueType) Number() protoreflect.EnumNumber

func (Feature_ValueType) String 

func (x Feature_ValueType) String() string

func (Feature_ValueType) Type 

func (Feature_ValueType) Type() protoreflect.EnumType

type Featurestore 

type Featurestore struct {

	// Output only. Name of the Featurestore. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this Featurestore was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Featurestore was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The labels with user-defined metadata to organize your
	// Featurestore.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one Featurestore(System
	// labels are excluded)."
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `protobuf:"bytes,6,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Optional. Config for online storage resources. The field should not
	// co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
	// and OnlineStoreReplicationConfig are unset, the feature store will not have
	// an online store and cannot be used for online serving.
	OnlineServingConfig *Featurestore_OnlineServingConfig `protobuf:"bytes,7,opt,name=online_serving_config,json=onlineServingConfig,proto3" json:"online_serving_config,omitempty"`
	// Output only. State of the featurestore.
	State Featurestore_State `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Featurestore_State" json:"state,omitempty"`
	// Optional. TTL in days for feature values that will be stored in online
	// serving storage. The Feature Store online storage periodically removes
	// obsolete feature values older than `online_storage_ttl_days` since the
	// feature generation time. Note that `online_storage_ttl_days` should be less
	// than or equal to `offline_storage_ttl_days` for each EntityType under a
	// featurestore. If not set, default to 4000 days
	OnlineStorageTtlDays int32 `protobuf:"varint,13,opt,name=online_storage_ttl_days,json=onlineStorageTtlDays,proto3" json:"online_storage_ttl_days,omitempty"`
	// Optional. Customer-managed encryption key spec for data storage. If set,
	// both of the online and offline data storage will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,10,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,14,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,15,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features. The Featurestore is a top-level container for your features and their values.

func (*Featurestore) Descriptor 

func (*Featurestore) Descriptor() ([]byte, []int)

Deprecated: Use Featurestore.ProtoReflect.Descriptor instead.

func (*Featurestore) GetCreateTime 

func (x *Featurestore) GetCreateTime() *timestamppb.Timestamp

func (*Featurestore) GetEncryptionSpec 

func (x *Featurestore) GetEncryptionSpec() *EncryptionSpec

func (*Featurestore) GetEtag 

func (x *Featurestore) GetEtag() string

func (*Featurestore) GetLabels 

func (x *Featurestore) GetLabels() map[string]string

func (*Featurestore) GetName 

func (x *Featurestore) GetName() string

func (*Featurestore) GetOnlineServingConfig 

func (x *Featurestore) GetOnlineServingConfig() *Featurestore_OnlineServingConfig

func (*Featurestore) GetOnlineStorageTtlDays 

func (x *Featurestore) GetOnlineStorageTtlDays() int32

func (*Featurestore) GetSatisfiesPzi 

func (x *Featurestore) GetSatisfiesPzi() bool

func (*Featurestore) GetSatisfiesPzs 

func (x *Featurestore) GetSatisfiesPzs() bool

func (*Featurestore) GetState 

func (x *Featurestore) GetState() Featurestore_State

func (*Featurestore) GetUpdateTime 

func (x *Featurestore) GetUpdateTime() *timestamppb.Timestamp

func (*Featurestore) ProtoMessage 

func (*Featurestore) ProtoMessage()

func (*Featurestore) ProtoReflect 

func (x *Featurestore) ProtoReflect() protoreflect.Message

func (*Featurestore) Reset 

func (x *Featurestore) Reset()

func (*Featurestore) String 

func (x *Featurestore) String() string

type FeaturestoreMonitoringConfig 

type FeaturestoreMonitoringConfig struct {

	// The config for Snapshot Analysis Based Feature Monitoring.
	SnapshotAnalysis *FeaturestoreMonitoringConfig_SnapshotAnalysis `protobuf:"bytes,1,opt,name=snapshot_analysis,json=snapshotAnalysis,proto3" json:"snapshot_analysis,omitempty"`
	// The config for ImportFeatures Analysis Based Feature Monitoring.
	ImportFeaturesAnalysis *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis `protobuf:"bytes,2,opt,name=import_features_analysis,json=importFeaturesAnalysis,proto3" json:"import_features_analysis,omitempty"`
	// Threshold for numerical features of anomaly detection.
	// This is shared by all objectives of Featurestore Monitoring for numerical
	// features (i.e. Features with type
	// ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
	// or INT64).
	NumericalThresholdConfig *FeaturestoreMonitoringConfig_ThresholdConfig `protobuf:"bytes,3,opt,name=numerical_threshold_config,json=numericalThresholdConfig,proto3" json:"numerical_threshold_config,omitempty"`
	// Threshold for categorical features of anomaly detection.
	// This is shared by all types of Featurestore Monitoring for categorical
	// features (i.e. Features with type
	// ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
	// STRING).
	CategoricalThresholdConfig *FeaturestoreMonitoringConfig_ThresholdConfig `protobuf:"bytes,4,opt,name=categorical_threshold_config,json=categoricalThresholdConfig,proto3" json:"categorical_threshold_config,omitempty"`
	// contains filtered or unexported fields
}

Configuration of how features in Featurestore are monitored.

func (*FeaturestoreMonitoringConfig) Descriptor 

func (*FeaturestoreMonitoringConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig) GetCategoricalThresholdConfig 

func (x *FeaturestoreMonitoringConfig) GetCategoricalThresholdConfig() *FeaturestoreMonitoringConfig_ThresholdConfig

func (*FeaturestoreMonitoringConfig) GetImportFeaturesAnalysis 

func (x *FeaturestoreMonitoringConfig) GetImportFeaturesAnalysis() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis

func (*FeaturestoreMonitoringConfig) GetNumericalThresholdConfig 

func (x *FeaturestoreMonitoringConfig) GetNumericalThresholdConfig() *FeaturestoreMonitoringConfig_ThresholdConfig

func (*FeaturestoreMonitoringConfig) GetSnapshotAnalysis 

func (x *FeaturestoreMonitoringConfig) GetSnapshotAnalysis() *FeaturestoreMonitoringConfig_SnapshotAnalysis

func (*FeaturestoreMonitoringConfig) ProtoMessage 

func (*FeaturestoreMonitoringConfig) ProtoMessage()

func (*FeaturestoreMonitoringConfig) ProtoReflect 

func (x *FeaturestoreMonitoringConfig) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig) Reset 

func (x *FeaturestoreMonitoringConfig) Reset()

func (*FeaturestoreMonitoringConfig) String 

func (x *FeaturestoreMonitoringConfig) String() string

type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis 

type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis struct {

	// Whether to enable / disable / inherite default hebavior for import
	// features analysis.
	State FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State `protobuf:"varint,1,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State" json:"state,omitempty"`
	// The baseline used to do anomaly detection for the statistics generated by
	// import features analysis.
	AnomalyDetectionBaseline FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline `protobuf:"varint,2,opt,name=anomaly_detection_baseline,json=anomalyDetectionBaseline,proto3,enum=google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline" json:"anomaly_detection_baseline,omitempty"`
	// contains filtered or unexported fields
}

Configuration of the Featurestore's ImportFeature Analysis Based Monitoring. This type of analysis generates statistics for values of each Feature imported by every [ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues] operation.

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Descriptor 

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetAnomalyDetectionBaseline 

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetAnomalyDetectionBaseline() FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetState 

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetState() FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoMessage 

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoMessage()

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoReflect 

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Reset 

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Reset()

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) String 

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) String() string

type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline 

type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline int32

Defines the baseline to do anomaly detection for feature values imported by each [ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues] operation. 

const (
	// Should not be used.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_BASELINE_UNSPECIFIED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 0
	// Choose the later one statistics generated by either most recent
	// snapshot analysis or previous import features analysis. If non of them
	// exists, skip anomaly detection and only generate a statistics.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_LATEST_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 1
	// Use the statistics generated by the most recent snapshot analysis if
	// exists.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_MOST_RECENT_SNAPSHOT_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 2
	// Use the statistics generated by the previous import features analysis
	// if exists.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_PREVIOUS_IMPORT_FEATURES_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 3
)

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Descriptor 

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Descriptor() protoreflect.EnumDescriptor

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Enum 

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Enum() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) EnumDescriptor 

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) EnumDescriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline.Descriptor instead.

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Number 

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Number() protoreflect.EnumNumber

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) String 

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) String() string

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Type 

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Type() protoreflect.EnumType

type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State 

type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State int32

The state defines whether to enable ImportFeature analysis. 

const (
	// Should not be used.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_STATE_UNSPECIFIED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 0
	// The default behavior of whether to enable the monitoring.
	// EntityType-level config: disabled.
	// Feature-level config: inherited from the configuration of EntityType
	// this Feature belongs to.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DEFAULT FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 1
	// Explicitly enables import features analysis.
	// EntityType-level config: by default enables import features analysis
	// for all Features under it. Feature-level config: enables import
	// features analysis regardless of the EntityType-level config.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_ENABLED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 2
	// Explicitly disables import features analysis.
	// EntityType-level config: by default disables import features analysis
	// for all Features under it. Feature-level config: disables import
	// features analysis regardless of the EntityType-level config.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DISABLED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 3
)

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Descriptor 

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Descriptor() protoreflect.EnumDescriptor

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Enum 

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Enum() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) EnumDescriptor 

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State.Descriptor instead.

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Number 

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Number() protoreflect.EnumNumber

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) String 

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) String() string

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Type 

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Type() protoreflect.EnumType

type FeaturestoreMonitoringConfig_SnapshotAnalysis 

type FeaturestoreMonitoringConfig_SnapshotAnalysis struct {

	// The monitoring schedule for snapshot analysis.
	// For EntityType-level config:
	//
	//	unset / disabled = true indicates disabled by
	//	default for Features under it; otherwise by default enable snapshot
	//	analysis monitoring with monitoring_interval for Features under it.
	//
	// Feature-level config:
	//
	//	disabled = true indicates disabled regardless of the EntityType-level
	//	config; unset monitoring_interval indicates going with EntityType-level
	//	config; otherwise run snapshot analysis monitoring with
	//	monitoring_interval regardless of the EntityType-level config.
	//
	// Explicitly Disable the snapshot analysis based monitoring.
	Disabled bool `protobuf:"varint,1,opt,name=disabled,proto3" json:"disabled,omitempty"`
	// Configuration of the snapshot analysis based monitoring pipeline
	// running interval. The value indicates number of days.
	MonitoringIntervalDays int32 `protobuf:"varint,3,opt,name=monitoring_interval_days,json=monitoringIntervalDays,proto3" json:"monitoring_interval_days,omitempty"`
	// Customized export features time window for snapshot analysis. Unit is one
	// day. Default value is 3 weeks. Minimum value is 1 day. Maximum value is
	// 4000 days.
	StalenessDays int32 `protobuf:"varint,4,opt,name=staleness_days,json=stalenessDays,proto3" json:"staleness_days,omitempty"`
	// contains filtered or unexported fields
}

Configuration of the Featurestore's Snapshot Analysis Based Monitoring. This type of analysis generates statistics for each Feature based on a snapshot of the latest feature value of each entities every monitoring_interval.

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Descriptor 

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_SnapshotAnalysis.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled() bool

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringIntervalDays 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringIntervalDays() int32

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetStalenessDays 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetStalenessDays() int32

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoMessage 

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoMessage()

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoReflect 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Reset 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) Reset()

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) String 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) String() string

type FeaturestoreMonitoringConfig_ThresholdConfig 

type FeaturestoreMonitoringConfig_ThresholdConfig struct {

	// Types that are assignable to Threshold:
	//
	//	*FeaturestoreMonitoringConfig_ThresholdConfig_Value
	Threshold isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold `protobuf_oneof:"threshold"`
	// contains filtered or unexported fields
}

The config for Featurestore Monitoring threshold.

func (*FeaturestoreMonitoringConfig_ThresholdConfig) Descriptor 

func (*FeaturestoreMonitoringConfig_ThresholdConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_ThresholdConfig.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig_ThresholdConfig) GetThreshold 

func (m *FeaturestoreMonitoringConfig_ThresholdConfig) GetThreshold() isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold

func (*FeaturestoreMonitoringConfig_ThresholdConfig) GetValue 

func (x *FeaturestoreMonitoringConfig_ThresholdConfig) GetValue() float64

func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoMessage 

func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoMessage()

func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoReflect 

func (x *FeaturestoreMonitoringConfig_ThresholdConfig) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig_ThresholdConfig) Reset 

func (x *FeaturestoreMonitoringConfig_ThresholdConfig) Reset()

func (*FeaturestoreMonitoringConfig_ThresholdConfig) String 

func (x *FeaturestoreMonitoringConfig_ThresholdConfig) String() string

type FeaturestoreMonitoringConfig_ThresholdConfig_Value 

type FeaturestoreMonitoringConfig_ThresholdConfig_Value struct {
	// Specify a threshold value that can trigger the alert.
	// 1. For categorical feature, the distribution distance is calculated by
	// L-inifinity norm.
	// 2. For numerical feature, the distribution distance is calculated by
	// Jensen–Shannon divergence. Each feature must have a non-zero threshold
	// if they need to be monitored. Otherwise no alert will be triggered for
	// that feature.
	Value float64 `protobuf:"fixed64,1,opt,name=value,proto3,oneof"`
}

type FeaturestoreOnlineServingServiceClient 

type FeaturestoreOnlineServingServiceClient interface {
	// Reads Feature values of a specific entity of an EntityType. For reading
	// feature values of multiple entities of an EntityType, please use
	// StreamingReadFeatureValues.
	ReadFeatureValues(ctx context.Context, in *ReadFeatureValuesRequest, opts ...grpc.CallOption) (*ReadFeatureValuesResponse, error)
	// Reads Feature values for multiple entities. Depending on their size, data
	// for different entities may be broken
	// up across multiple responses.
	StreamingReadFeatureValues(ctx context.Context, in *StreamingReadFeatureValuesRequest, opts ...grpc.CallOption) (FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient, error)
	// Writes Feature values of one or more entities of an EntityType.
	//
	// The Feature values are merged into existing entities if any. The Feature
	// values to be written must have timestamp within the online storage
	// retention.
	WriteFeatureValues(ctx context.Context, in *WriteFeatureValuesRequest, opts ...grpc.CallOption) (*WriteFeatureValuesResponse, error)
}

FeaturestoreOnlineServingServiceClient is the client API for FeaturestoreOnlineServingService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewFeaturestoreOnlineServingServiceClient 

func NewFeaturestoreOnlineServingServiceClient(cc grpc.ClientConnInterface) FeaturestoreOnlineServingServiceClient

type FeaturestoreOnlineServingServiceServer 

type FeaturestoreOnlineServingServiceServer interface {
	// Reads Feature values of a specific entity of an EntityType. For reading
	// feature values of multiple entities of an EntityType, please use
	// StreamingReadFeatureValues.
	ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error)
	// Reads Feature values for multiple entities. Depending on their size, data
	// for different entities may be broken
	// up across multiple responses.
	StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error
	// Writes Feature values of one or more entities of an EntityType.
	//
	// The Feature values are merged into existing entities if any. The Feature
	// values to be written must have timestamp within the online storage
	// retention.
	WriteFeatureValues(context.Context, *WriteFeatureValuesRequest) (*WriteFeatureValuesResponse, error)
}

FeaturestoreOnlineServingServiceServer is the server API for FeaturestoreOnlineServingService service.

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient 

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient interface {
	Recv() (*ReadFeatureValuesResponse, error)
	grpc.ClientStream
}

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer 

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer interface {
	Send(*ReadFeatureValuesResponse) error
	grpc.ServerStream
}

type FeaturestoreServiceClient 

type FeaturestoreServiceClient interface {
	// Creates a new Featurestore in a given project and location.
	CreateFeaturestore(ctx context.Context, in *CreateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single Featurestore.
	GetFeaturestore(ctx context.Context, in *GetFeaturestoreRequest, opts ...grpc.CallOption) (*Featurestore, error)
	// Lists Featurestores in a given project and location.
	ListFeaturestores(ctx context.Context, in *ListFeaturestoresRequest, opts ...grpc.CallOption) (*ListFeaturestoresResponse, error)
	// Updates the parameters of a single Featurestore.
	UpdateFeaturestore(ctx context.Context, in *UpdateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a single Featurestore. The Featurestore must not contain any
	// EntityTypes or `force` must be set to true for the request to succeed.
	DeleteFeaturestore(ctx context.Context, in *DeleteFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a new EntityType in a given Featurestore.
	CreateEntityType(ctx context.Context, in *CreateEntityTypeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single EntityType.
	GetEntityType(ctx context.Context, in *GetEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
	// Lists EntityTypes in a given Featurestore.
	ListEntityTypes(ctx context.Context, in *ListEntityTypesRequest, opts ...grpc.CallOption) (*ListEntityTypesResponse, error)
	// Updates the parameters of a single EntityType.
	UpdateEntityType(ctx context.Context, in *UpdateEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
	// Deletes a single EntityType. The EntityType must not have any Features
	// or `force` must be set to true for the request to succeed.
	DeleteEntityType(ctx context.Context, in *DeleteEntityTypeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a new Feature in a given EntityType.
	CreateFeature(ctx context.Context, in *CreateFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a batch of Features in a given EntityType.
	BatchCreateFeatures(ctx context.Context, in *BatchCreateFeaturesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single Feature.
	GetFeature(ctx context.Context, in *GetFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
	// Lists Features in a given EntityType.
	ListFeatures(ctx context.Context, in *ListFeaturesRequest, opts ...grpc.CallOption) (*ListFeaturesResponse, error)
	// Updates the parameters of a single Feature.
	UpdateFeature(ctx context.Context, in *UpdateFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
	// Deletes a single Feature.
	DeleteFeature(ctx context.Context, in *DeleteFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Imports Feature values into the Featurestore from a source storage.
	//
	// The progress of the import is tracked by the returned operation. The
	// imported features are guaranteed to be visible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If an import operation fails, the Feature values returned from
	// reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same import request again and wait till
	// the new operation returned is marked as successfully done.
	//
	// There are also scenarios where the caller can cause inconsistency.
	//
	//   - Source data for import contains multiple distinct Feature values for
	//     the same entity ID and timestamp.
	//   - Source is modified during an import. This includes adding, updating, or
	//     removing source data and/or metadata. Examples of updating metadata
	//     include but are not limited to changing storage location, storage class,
	//     or retention policy.
	//   - Online serving cluster is under-provisioned.
	ImportFeatureValues(ctx context.Context, in *ImportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Batch reads Feature values from a Featurestore.
	//
	// This API enables batch reading Feature values, where each read
	// instance in the batch may read Feature values of entities from one or
	// more EntityTypes. Point-in-time correctness is guaranteed for Feature
	// values of each read instance as of each instance's read timestamp.
	BatchReadFeatureValues(ctx context.Context, in *BatchReadFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Exports Feature values from all the entities of a target EntityType.
	ExportFeatureValues(ctx context.Context, in *ExportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Delete Feature values from Featurestore.
	//
	// The progress of the deletion is tracked by the returned operation. The
	// deleted feature values are guaranteed to be invisible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If a delete feature values operation fails, the feature values
	// returned from reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same delete request again and wait till
	// the new operation returned is marked as successfully done.
	DeleteFeatureValues(ctx context.Context, in *DeleteFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Searches Features matching a query in a given project.
	SearchFeatures(ctx context.Context, in *SearchFeaturesRequest, opts ...grpc.CallOption) (*SearchFeaturesResponse, error)
}

FeaturestoreServiceClient is the client API for FeaturestoreService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewFeaturestoreServiceClient 

func NewFeaturestoreServiceClient(cc grpc.ClientConnInterface) FeaturestoreServiceClient

type FeaturestoreServiceServer 

type FeaturestoreServiceServer interface {
	// Creates a new Featurestore in a given project and location.
	CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunningpb.Operation, error)
	// Gets details of a single Featurestore.
	GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error)
	// Lists Featurestores in a given project and location.
	ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error)
	// Updates the parameters of a single Featurestore.
	UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunningpb.Operation, error)
	// Deletes a single Featurestore. The Featurestore must not contain any
	// EntityTypes or `force` must be set to true for the request to succeed.
	DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunningpb.Operation, error)
	// Creates a new EntityType in a given Featurestore.
	CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunningpb.Operation, error)
	// Gets details of a single EntityType.
	GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error)
	// Lists EntityTypes in a given Featurestore.
	ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error)
	// Updates the parameters of a single EntityType.
	UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error)
	// Deletes a single EntityType. The EntityType must not have any Features
	// or `force` must be set to true for the request to succeed.
	DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunningpb.Operation, error)
	// Creates a new Feature in a given EntityType.
	CreateFeature(context.Context, *CreateFeatureRequest) (*longrunningpb.Operation, error)
	// Creates a batch of Features in a given EntityType.
	BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunningpb.Operation, error)
	// Gets details of a single Feature.
	GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)
	// Lists Features in a given EntityType.
	ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)
	// Updates the parameters of a single Feature.
	UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error)
	// Deletes a single Feature.
	DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunningpb.Operation, error)
	// Imports Feature values into the Featurestore from a source storage.
	//
	// The progress of the import is tracked by the returned operation. The
	// imported features are guaranteed to be visible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If an import operation fails, the Feature values returned from
	// reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same import request again and wait till
	// the new operation returned is marked as successfully done.
	//
	// There are also scenarios where the caller can cause inconsistency.
	//
	//   - Source data for import contains multiple distinct Feature values for
	//     the same entity ID and timestamp.
	//   - Source is modified during an import. This includes adding, updating, or
	//     removing source data and/or metadata. Examples of updating metadata
	//     include but are not limited to changing storage location, storage class,
	//     or retention policy.
	//   - Online serving cluster is under-provisioned.
	ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunningpb.Operation, error)
	// Batch reads Feature values from a Featurestore.
	//
	// This API enables batch reading Feature values, where each read
	// instance in the batch may read Feature values of entities from one or
	// more EntityTypes. Point-in-time correctness is guaranteed for Feature
	// values of each read instance as of each instance's read timestamp.
	BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunningpb.Operation, error)
	// Exports Feature values from all the entities of a target EntityType.
	ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunningpb.Operation, error)
	// Delete Feature values from Featurestore.
	//
	// The progress of the deletion is tracked by the returned operation. The
	// deleted feature values are guaranteed to be invisible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If a delete feature values operation fails, the feature values
	// returned from reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same delete request again and wait till
	// the new operation returned is marked as successfully done.
	DeleteFeatureValues(context.Context, *DeleteFeatureValuesRequest) (*longrunningpb.Operation, error)
	// Searches Features matching a query in a given project.
	SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error)
}

FeaturestoreServiceServer is the server API for FeaturestoreService service.

type Featurestore_OnlineServingConfig 

type Featurestore_OnlineServingConfig struct {

	// The number of nodes for the online store. The number of nodes doesn't
	// scale automatically, but you can manually update the number of
	// nodes. If set to 0, the featurestore will not have an
	// online store and cannot be used for online serving.
	FixedNodeCount int32 `protobuf:"varint,2,opt,name=fixed_node_count,json=fixedNodeCount,proto3" json:"fixed_node_count,omitempty"`
	// Online serving scaling configuration.
	// Only one of `fixed_node_count` and `scaling` can be set. Setting one will
	// reset the other.
	Scaling *Featurestore_OnlineServingConfig_Scaling `protobuf:"bytes,4,opt,name=scaling,proto3" json:"scaling,omitempty"`
	// contains filtered or unexported fields
}

OnlineServingConfig specifies the details for provisioning online serving resources.

func (*Featurestore_OnlineServingConfig) Descriptor 

func (*Featurestore_OnlineServingConfig) Descriptor() ([]byte, []int)

Deprecated: Use Featurestore_OnlineServingConfig.ProtoReflect.Descriptor instead.

func (*Featurestore_OnlineServingConfig) GetFixedNodeCount 

func (x *Featurestore_OnlineServingConfig) GetFixedNodeCount() int32

func (*Featurestore_OnlineServingConfig) GetScaling 

func (x *Featurestore_OnlineServingConfig) GetScaling() *Featurestore_OnlineServingConfig_Scaling

func (*Featurestore_OnlineServingConfig) ProtoMessage 

func (*Featurestore_OnlineServingConfig) ProtoMessage()

func (*Featurestore_OnlineServingConfig) ProtoReflect 

func (x *Featurestore_OnlineServingConfig) ProtoReflect() protoreflect.Message

func (*Featurestore_OnlineServingConfig) Reset 

func (x *Featurestore_OnlineServingConfig) Reset()

func (*Featurestore_OnlineServingConfig) String 

func (x *Featurestore_OnlineServingConfig) String() string

type Featurestore_OnlineServingConfig_Scaling 

type Featurestore_OnlineServingConfig_Scaling struct {

	// Required. The minimum number of nodes to scale down to. Must be greater
	// than or equal to 1.
	MinNodeCount int32 `protobuf:"varint,1,opt,name=min_node_count,json=minNodeCount,proto3" json:"min_node_count,omitempty"`
	// The maximum number of nodes to scale up to. Must be greater than
	// min_node_count, and less than or equal to 10 times of 'min_node_count'.
	MaxNodeCount int32 `protobuf:"varint,2,opt,name=max_node_count,json=maxNodeCount,proto3" json:"max_node_count,omitempty"`
	// Optional. The cpu utilization that the Autoscaler should be trying to
	// achieve. This number is on a scale from 0 (no utilization) to 100
	// (total utilization), and is limited between 10 and 80. When a cluster's
	// CPU utilization exceeds the target that you have set, Bigtable
	// immediately adds nodes to the cluster. When CPU utilization is
	// substantially lower than the target, Bigtable removes nodes. If not set
	// or set to 0, default to 50.
	CpuUtilizationTarget int32 `protobuf:"varint,3,opt,name=cpu_utilization_target,json=cpuUtilizationTarget,proto3" json:"cpu_utilization_target,omitempty"`
	// contains filtered or unexported fields
}

Online serving scaling configuration. If min_node_count and max_node_count are set to the same value, the cluster will be configured with the fixed number of node (no auto-scaling).

func (*Featurestore_OnlineServingConfig_Scaling) Descriptor 

func (*Featurestore_OnlineServingConfig_Scaling) Descriptor() ([]byte, []int)

Deprecated: Use Featurestore_OnlineServingConfig_Scaling.ProtoReflect.Descriptor instead.

func (*Featurestore_OnlineServingConfig_Scaling) GetCpuUtilizationTarget 

func (x *Featurestore_OnlineServingConfig_Scaling) GetCpuUtilizationTarget() int32

func (*Featurestore_OnlineServingConfig_Scaling) GetMaxNodeCount 

func (x *Featurestore_OnlineServingConfig_Scaling) GetMaxNodeCount() int32

func (*Featurestore_OnlineServingConfig_Scaling) GetMinNodeCount 

func (x *Featurestore_OnlineServingConfig_Scaling) GetMinNodeCount() int32

func (*Featurestore_OnlineServingConfig_Scaling) ProtoMessage 

func (*Featurestore_OnlineServingConfig_Scaling) ProtoMessage()

func (*Featurestore_OnlineServingConfig_Scaling) ProtoReflect 

func (x *Featurestore_OnlineServingConfig_Scaling) ProtoReflect() protoreflect.Message

func (*Featurestore_OnlineServingConfig_Scaling) Reset 

func (x *Featurestore_OnlineServingConfig_Scaling) Reset()

func (*Featurestore_OnlineServingConfig_Scaling) String 

func (x *Featurestore_OnlineServingConfig_Scaling) String() string

type Featurestore_State 

type Featurestore_State int32

Possible states a featurestore can have. 

const (
	// Default value. This value is unused.
	Featurestore_STATE_UNSPECIFIED Featurestore_State = 0
	// State when the featurestore configuration is not being updated and the
	// fields reflect the current configuration of the featurestore. The
	// featurestore is usable in this state.
	Featurestore_STABLE Featurestore_State = 1
	// The state of the featurestore configuration when it is being updated.
	// During an update, the fields reflect either the original configuration
	// or the updated configuration of the featurestore. For example,
	// `online_serving_config.fixed_node_count` can take minutes to update.
	// While the update is in progress, the featurestore is in the UPDATING
	// state, and the value of `fixed_node_count` can be the original value or
	// the updated value, depending on the progress of the operation. Until the
	// update completes, the actual number of nodes can still be the original
	// value of `fixed_node_count`. The featurestore is still usable in this
	// state.
	Featurestore_UPDATING Featurestore_State = 2
)

func (Featurestore_State) Descriptor 

func (Featurestore_State) Descriptor() protoreflect.EnumDescriptor

func (Featurestore_State) Enum 

func (x Featurestore_State) Enum() *Featurestore_State

func (Featurestore_State) EnumDescriptor 

func (Featurestore_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Featurestore_State.Descriptor instead.

func (Featurestore_State) Number 

func (x Featurestore_State) Number() protoreflect.EnumNumber

func (Featurestore_State) String 

func (x Featurestore_State) String() string

func (Featurestore_State) Type 

func (Featurestore_State) Type() protoreflect.EnumType

type FetchFeatureValuesRequest 

type FetchFeatureValuesRequest struct {

	// Required. FeatureView resource format
	// `projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}/featureViews/{featureView}`
	FeatureView string `protobuf:"bytes,1,opt,name=feature_view,json=featureView,proto3" json:"feature_view,omitempty"`
	// Optional. The request key to fetch feature values for.
	DataKey *FeatureViewDataKey `protobuf:"bytes,6,opt,name=data_key,json=dataKey,proto3" json:"data_key,omitempty"`
	// Optional. Response data format. If not set,
	// [FeatureViewDataFormat.KEY_VALUE][google.cloud.aiplatform.v1.FeatureViewDataFormat.KEY_VALUE]
	// will be used.
	DataFormat FeatureViewDataFormat `protobuf:"varint,7,opt,name=data_format,json=dataFormat,proto3,enum=google.cloud.aiplatform.v1.FeatureViewDataFormat" json:"data_format,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues]. All the features under the requested feature view will be returned.

func (*FetchFeatureValuesRequest) Descriptor 

func (*FetchFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use FetchFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*FetchFeatureValuesRequest) GetDataFormat 

func (x *FetchFeatureValuesRequest) GetDataFormat() FeatureViewDataFormat

func (*FetchFeatureValuesRequest) GetDataKey 

func (x *FetchFeatureValuesRequest) GetDataKey() *FeatureViewDataKey

func (*FetchFeatureValuesRequest) GetFeatureView 

func (x *FetchFeatureValuesRequest) GetFeatureView() string

func (*FetchFeatureValuesRequest) ProtoMessage 

func (*FetchFeatureValuesRequest) ProtoMessage()

func (*FetchFeatureValuesRequest) ProtoReflect 

func (x *FetchFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*FetchFeatureValuesRequest) Reset 

func (x *FetchFeatureValuesRequest) Reset()

func (*FetchFeatureValuesRequest) String 

func (x *FetchFeatureValuesRequest) String() string

type FetchFeatureValuesResponse 

type FetchFeatureValuesResponse struct {

	// Types that are assignable to Format:
	//
	//	*FetchFeatureValuesResponse_KeyValues
	//	*FetchFeatureValuesResponse_ProtoStruct
	Format isFetchFeatureValuesResponse_Format `protobuf_oneof:"format"`
	// The data key associated with this response.
	// Will only be populated for
	// [FeatureOnlineStoreService.StreamingFetchFeatureValues][] RPCs.
	DataKey *FeatureViewDataKey `protobuf:"bytes,4,opt,name=data_key,json=dataKey,proto3" json:"data_key,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues]

func (*FetchFeatureValuesResponse) Descriptor 

func (*FetchFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use FetchFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*FetchFeatureValuesResponse) GetDataKey 

func (x *FetchFeatureValuesResponse) GetDataKey() *FeatureViewDataKey

func (*FetchFeatureValuesResponse) GetFormat 

func (m *FetchFeatureValuesResponse) GetFormat() isFetchFeatureValuesResponse_Format

func (*FetchFeatureValuesResponse) GetKeyValues 

func (x *FetchFeatureValuesResponse) GetKeyValues() *FetchFeatureValuesResponse_FeatureNameValuePairList

func (*FetchFeatureValuesResponse) GetProtoStruct 

func (x *FetchFeatureValuesResponse) GetProtoStruct() *structpb.Struct

func (*FetchFeatureValuesResponse) ProtoMessage 

func (*FetchFeatureValuesResponse) ProtoMessage()

func (*FetchFeatureValuesResponse) ProtoReflect 

func (x *FetchFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*FetchFeatureValuesResponse) Reset 

func (x *FetchFeatureValuesResponse) Reset()

func (*FetchFeatureValuesResponse) String 

func (x *FetchFeatureValuesResponse) String() string

type FetchFeatureValuesResponse_FeatureNameValuePairList 

type FetchFeatureValuesResponse_FeatureNameValuePairList struct {

	// List of feature names and values.
	Features []*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// contains filtered or unexported fields
}

Response structure in the format of key (feature name) and (feature) value pair.

func (*FetchFeatureValuesResponse_FeatureNameValuePairList) Descriptor 

func (*FetchFeatureValuesResponse_FeatureNameValuePairList) Descriptor() ([]byte, []int)

Deprecated: Use FetchFeatureValuesResponse_FeatureNameValuePairList.ProtoReflect.Descriptor instead.

func (*FetchFeatureValuesResponse_FeatureNameValuePairList) GetFeatures 

func (x *FetchFeatureValuesResponse_FeatureNameValuePairList) GetFeatures() []*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair

func (*FetchFeatureValuesResponse_FeatureNameValuePairList) ProtoMessage 

func (*FetchFeatureValuesResponse_FeatureNameValuePairList) ProtoMessage()

func (*FetchFeatureValuesResponse_FeatureNameValuePairList) ProtoReflect 

func (x *FetchFeatureValuesResponse_FeatureNameValuePairList) ProtoReflect() protoreflect.Message

func (*FetchFeatureValuesResponse_FeatureNameValuePairList) Reset 

func (x *FetchFeatureValuesResponse_FeatureNameValuePairList) Reset()

func (*FetchFeatureValuesResponse_FeatureNameValuePairList) String 

func (x *FetchFeatureValuesResponse_FeatureNameValuePairList) String() string

type FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair 

type FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair struct {

	// Types that are assignable to Data:
	//
	//	*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Value
	Data isFetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Data `protobuf_oneof:"data"`
	// Feature short name.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Feature name & value pair.

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) Descriptor 

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) Descriptor() ([]byte, []int)

Deprecated: Use FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair.ProtoReflect.Descriptor instead.

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) GetData 

func (m *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) GetData() isFetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Data

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) GetName 

func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) GetName() string

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) GetValue 

func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) GetValue() *FeatureValue

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) ProtoMessage 

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) ProtoMessage()

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) ProtoReflect 

func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) ProtoReflect() protoreflect.Message

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) Reset 

func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) Reset()

func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) String 

func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) String() string

type FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Value 

type FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Value struct {
	// Feature value.
	Value *FeatureValue `protobuf:"bytes,2,opt,name=value,proto3,oneof"`
}

type FetchFeatureValuesResponse_KeyValues 

type FetchFeatureValuesResponse_KeyValues struct {
	// Feature values in KeyValue format.
	KeyValues *FetchFeatureValuesResponse_FeatureNameValuePairList `protobuf:"bytes,3,opt,name=key_values,json=keyValues,proto3,oneof"`
}

type FetchFeatureValuesResponse_ProtoStruct 

type FetchFeatureValuesResponse_ProtoStruct struct {
	// Feature values in proto Struct format.
	ProtoStruct *structpb.Struct `protobuf:"bytes,2,opt,name=proto_struct,json=protoStruct,proto3,oneof"`
}

type FileData 

type FileData struct {

	// Required. The IANA standard MIME type of the source data.
	MimeType string `protobuf:"bytes,1,opt,name=mime_type,json=mimeType,proto3" json:"mime_type,omitempty"`
	// Required. URI.
	FileUri string `protobuf:"bytes,2,opt,name=file_uri,json=fileUri,proto3" json:"file_uri,omitempty"`
	// contains filtered or unexported fields
}

URI based data.

func (*FileData) Descriptor 

func (*FileData) Descriptor() ([]byte, []int)

Deprecated: Use FileData.ProtoReflect.Descriptor instead.

func (*FileData) GetFileUri 

func (x *FileData) GetFileUri() string

func (*FileData) GetMimeType 

func (x *FileData) GetMimeType() string

func (*FileData) ProtoMessage 

func (*FileData) ProtoMessage()

func (*FileData) ProtoReflect 

func (x *FileData) ProtoReflect() protoreflect.Message

func (*FileData) Reset 

func (x *FileData) Reset()

func (*FileData) String 

func (x *FileData) String() string

type FileStatus 

type FileStatus struct {

	// Output only. RagFile state.
	State FileStatus_State `protobuf:"varint,1,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.FileStatus_State" json:"state,omitempty"`
	// Output only. Only when the `state` field is ERROR.
	ErrorStatus string `protobuf:"bytes,2,opt,name=error_status,json=errorStatus,proto3" json:"error_status,omitempty"`
	// contains filtered or unexported fields
}

RagFile status.

func (*FileStatus) Descriptor 

func (*FileStatus) Descriptor() ([]byte, []int)

Deprecated: Use FileStatus.ProtoReflect.Descriptor instead.

func (*FileStatus) GetErrorStatus 

func (x *FileStatus) GetErrorStatus() string

func (*FileStatus) GetState 

func (x *FileStatus) GetState() FileStatus_State

func (*FileStatus) ProtoMessage 

func (*FileStatus) ProtoMessage()

func (*FileStatus) ProtoReflect 

func (x *FileStatus) ProtoReflect() protoreflect.Message

func (*FileStatus) Reset 

func (x *FileStatus) Reset()

func (*FileStatus) String 

func (x *FileStatus) String() string

type FileStatus_State 

type FileStatus_State int32

RagFile state. 

const (
	// RagFile state is unspecified.
	FileStatus_STATE_UNSPECIFIED FileStatus_State = 0
	// RagFile resource has been created and indexed successfully.
	FileStatus_ACTIVE FileStatus_State = 1
	// RagFile resource is in a problematic state.
	// See `error_message` field for details.
	FileStatus_ERROR FileStatus_State = 2
)

func (FileStatus_State) Descriptor 

func (FileStatus_State) Descriptor() protoreflect.EnumDescriptor

func (FileStatus_State) Enum 

func (x FileStatus_State) Enum() *FileStatus_State

func (FileStatus_State) EnumDescriptor 

func (FileStatus_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use FileStatus_State.Descriptor instead.

func (FileStatus_State) Number 

func (x FileStatus_State) Number() protoreflect.EnumNumber

func (FileStatus_State) String 

func (x FileStatus_State) String() string

func (FileStatus_State) Type 

func (FileStatus_State) Type() protoreflect.EnumType

type FilterSplit 

type FilterSplit struct {

	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to train the Model. A filter with same syntax
	// as the one used in
	// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
	// may be used. If a single DataItem is matched by more than one of the
	// FilterSplit filters, then it is assigned to the first set that applies to
	// it in the training, validation, test order.
	TrainingFilter string `protobuf:"bytes,1,opt,name=training_filter,json=trainingFilter,proto3" json:"training_filter,omitempty"`
	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to validate the Model. A filter with same syntax
	// as the one used in
	// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
	// may be used. If a single DataItem is matched by more than one of the
	// FilterSplit filters, then it is assigned to the first set that applies to
	// it in the training, validation, test order.
	ValidationFilter string `protobuf:"bytes,2,opt,name=validation_filter,json=validationFilter,proto3" json:"validation_filter,omitempty"`
	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to test the Model. A filter with same syntax
	// as the one used in
	// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
	// may be used. If a single DataItem is matched by more than one of the
	// FilterSplit filters, then it is assigned to the first set that applies to
	// it in the training, validation, test order.
	TestFilter string `protobuf:"bytes,3,opt,name=test_filter,json=testFilter,proto3" json:"test_filter,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored. Currently only supported for Datasets containing DataItems. If any of the filters in this message are to match nothing, then they can be set as '-' (the minus sign).

Supported only for unstructured Datasets.

func (*FilterSplit) Descriptor 

func (*FilterSplit) Descriptor() ([]byte, []int)

Deprecated: Use FilterSplit.ProtoReflect.Descriptor instead.

func (*FilterSplit) GetTestFilter 

func (x *FilterSplit) GetTestFilter() string

func (*FilterSplit) GetTrainingFilter 

func (x *FilterSplit) GetTrainingFilter() string

func (*FilterSplit) GetValidationFilter 

func (x *FilterSplit) GetValidationFilter() string

func (*FilterSplit) ProtoMessage 

func (*FilterSplit) ProtoMessage()

func (*FilterSplit) ProtoReflect 

func (x *FilterSplit) ProtoReflect() protoreflect.Message

func (*FilterSplit) Reset 

func (x *FilterSplit) Reset()

func (*FilterSplit) String 

func (x *FilterSplit) String() string

type FindNeighborsRequest 

type FindNeighborsRequest struct {

	// Required. The name of the index endpoint.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// The ID of the DeployedIndex that will serve the request. This request is
	// sent to a specific IndexEndpoint, as per the IndexEndpoint.network. That
	// IndexEndpoint also has IndexEndpoint.deployed_indexes, and each such index
	// has a DeployedIndex.id field.
	// The value of the field below must equal one of the DeployedIndex.id
	// fields of the IndexEndpoint that is being called for this request.
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// The list of queries.
	Queries []*FindNeighborsRequest_Query `protobuf:"bytes,3,rep,name=queries,proto3" json:"queries,omitempty"`
	// If set to true, the full datapoints (including all vector values and
	// restricts) of the nearest neighbors are returned.
	// Note that returning full datapoint will significantly increase the
	// latency and cost of the query.
	ReturnFullDatapoint bool `protobuf:"varint,4,opt,name=return_full_datapoint,json=returnFullDatapoint,proto3" json:"return_full_datapoint,omitempty"`
	// contains filtered or unexported fields
}

The request message for [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors].

func (*FindNeighborsRequest) Descriptor 

func (*FindNeighborsRequest) Descriptor() ([]byte, []int)

Deprecated: Use FindNeighborsRequest.ProtoReflect.Descriptor instead.

func (*FindNeighborsRequest) GetDeployedIndexId 

func (x *FindNeighborsRequest) GetDeployedIndexId() string

func (*FindNeighborsRequest) GetIndexEndpoint 

func (x *FindNeighborsRequest) GetIndexEndpoint() string

func (*FindNeighborsRequest) GetQueries 

func (x *FindNeighborsRequest) GetQueries() []*FindNeighborsRequest_Query

func (*FindNeighborsRequest) GetReturnFullDatapoint 

func (x *FindNeighborsRequest) GetReturnFullDatapoint() bool

func (*FindNeighborsRequest) ProtoMessage 

func (*FindNeighborsRequest) ProtoMessage()

func (*FindNeighborsRequest) ProtoReflect 

func (x *FindNeighborsRequest) ProtoReflect() protoreflect.Message

func (*FindNeighborsRequest) Reset 

func (x *FindNeighborsRequest) Reset()

func (*FindNeighborsRequest) String 

func (x *FindNeighborsRequest) String() string

type FindNeighborsRequest_Query 

type FindNeighborsRequest_Query struct {

	// Types that are assignable to Ranking:
	//
	//	*FindNeighborsRequest_Query_Rrf
	Ranking isFindNeighborsRequest_Query_Ranking `protobuf_oneof:"ranking"`
	// Required. The datapoint/vector whose nearest neighbors should be searched
	// for.
	Datapoint *IndexDatapoint `protobuf:"bytes,1,opt,name=datapoint,proto3" json:"datapoint,omitempty"`
	// The number of nearest neighbors to be retrieved from database for each
	// query. If not set, will use the default from the service configuration
	// (https://cloud.google.com/vertex-ai/docs/matching-engine/configuring-indexes#nearest-neighbor-search-config).
	NeighborCount int32 `protobuf:"varint,2,opt,name=neighbor_count,json=neighborCount,proto3" json:"neighbor_count,omitempty"`
	// Crowding is a constraint on a neighbor list produced by nearest neighbor
	// search requiring that no more than some value k' of the k neighbors
	// returned have the same value of crowding_attribute.
	// It's used for improving result diversity.
	// This field is the maximum number of matches with the same crowding tag.
	PerCrowdingAttributeNeighborCount int32 `protobuf:"varint,3,opt,name=per_crowding_attribute_neighbor_count,json=perCrowdingAttributeNeighborCount,proto3" json:"per_crowding_attribute_neighbor_count,omitempty"`
	// The number of neighbors to find via approximate search before
	// exact reordering is performed. If not set, the default value from scam
	// config is used; if set, this value must be > 0.
	ApproximateNeighborCount int32 `protobuf:"varint,4,opt,name=approximate_neighbor_count,json=approximateNeighborCount,proto3" json:"approximate_neighbor_count,omitempty"`
	// The fraction of the number of leaves to search, set at query time allows
	// user to tune search performance. This value increase result in both
	// search accuracy and latency increase. The value should be between 0.0
	// and 1.0. If not set or set to 0.0, query uses the default value specified
	// in
	// NearestNeighborSearchConfig.TreeAHConfig.fraction_leaf_nodes_to_search.
	FractionLeafNodesToSearchOverride float64 `protobuf:"fixed64,5,opt,name=fraction_leaf_nodes_to_search_override,json=fractionLeafNodesToSearchOverride,proto3" json:"fraction_leaf_nodes_to_search_override,omitempty"`
	// contains filtered or unexported fields
}

A query to find a number of the nearest neighbors (most similar vectors) of a vector.

func (*FindNeighborsRequest_Query) Descriptor 

func (*FindNeighborsRequest_Query) Descriptor() ([]byte, []int)

Deprecated: Use FindNeighborsRequest_Query.ProtoReflect.Descriptor instead.

func (*FindNeighborsRequest_Query) GetApproximateNeighborCount 

func (x *FindNeighborsRequest_Query) GetApproximateNeighborCount() int32

func (*FindNeighborsRequest_Query) GetDatapoint 

func (x *FindNeighborsRequest_Query) GetDatapoint() *IndexDatapoint

func (*FindNeighborsRequest_Query) GetFractionLeafNodesToSearchOverride 

func (x *FindNeighborsRequest_Query) GetFractionLeafNodesToSearchOverride() float64

func (*FindNeighborsRequest_Query) GetNeighborCount 

func (x *FindNeighborsRequest_Query) GetNeighborCount() int32

func (*FindNeighborsRequest_Query) GetPerCrowdingAttributeNeighborCount 

func (x *FindNeighborsRequest_Query) GetPerCrowdingAttributeNeighborCount() int32

func (*FindNeighborsRequest_Query) GetRanking 

func (m *FindNeighborsRequest_Query) GetRanking() isFindNeighborsRequest_Query_Ranking

func (*FindNeighborsRequest_Query) GetRrf 

func (x *FindNeighborsRequest_Query) GetRrf() *FindNeighborsRequest_Query_RRF

func (*FindNeighborsRequest_Query) ProtoMessage 

func (*FindNeighborsRequest_Query) ProtoMessage()

func (*FindNeighborsRequest_Query) ProtoReflect 

func (x *FindNeighborsRequest_Query) ProtoReflect() protoreflect.Message

func (*FindNeighborsRequest_Query) Reset 

func (x *FindNeighborsRequest_Query) Reset()

func (*FindNeighborsRequest_Query) String 

func (x *FindNeighborsRequest_Query) String() string

type FindNeighborsRequest_Query_RRF 

type FindNeighborsRequest_Query_RRF struct {

	// Required. Users can provide an alpha value to give more weight to dense
	// vs sparse results. For example, if the alpha is 0, we only return
	// sparse and if the alpha is 1, we only return dense.
	Alpha float32 `protobuf:"fixed32,1,opt,name=alpha,proto3" json:"alpha,omitempty"`
	// contains filtered or unexported fields
}

Parameters for RRF algorithm that combines search results.

func (*FindNeighborsRequest_Query_RRF) Descriptor 

func (*FindNeighborsRequest_Query_RRF) Descriptor() ([]byte, []int)

Deprecated: Use FindNeighborsRequest_Query_RRF.ProtoReflect.Descriptor instead.

func (*FindNeighborsRequest_Query_RRF) GetAlpha 

func (x *FindNeighborsRequest_Query_RRF) GetAlpha() float32

func (*FindNeighborsRequest_Query_RRF) ProtoMessage 

func (*FindNeighborsRequest_Query_RRF) ProtoMessage()

func (*FindNeighborsRequest_Query_RRF) ProtoReflect 

func (x *FindNeighborsRequest_Query_RRF) ProtoReflect() protoreflect.Message

func (*FindNeighborsRequest_Query_RRF) Reset 

func (x *FindNeighborsRequest_Query_RRF) Reset()

func (*FindNeighborsRequest_Query_RRF) String 

func (x *FindNeighborsRequest_Query_RRF) String() string

type FindNeighborsRequest_Query_Rrf 

type FindNeighborsRequest_Query_Rrf struct {
	// Optional. Represents RRF algorithm that combines search results.
	Rrf *FindNeighborsRequest_Query_RRF `protobuf:"bytes,6,opt,name=rrf,proto3,oneof"`
}

type FindNeighborsResponse 

type FindNeighborsResponse struct {

	// The nearest neighbors of the query datapoints.
	NearestNeighbors []*FindNeighborsResponse_NearestNeighbors `protobuf:"bytes,1,rep,name=nearest_neighbors,json=nearestNeighbors,proto3" json:"nearest_neighbors,omitempty"`
	// contains filtered or unexported fields
}

The response message for [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors].

func (*FindNeighborsResponse) Descriptor 

func (*FindNeighborsResponse) Descriptor() ([]byte, []int)

Deprecated: Use FindNeighborsResponse.ProtoReflect.Descriptor instead.

func (*FindNeighborsResponse) GetNearestNeighbors 

func (x *FindNeighborsResponse) GetNearestNeighbors() []*FindNeighborsResponse_NearestNeighbors

func (*FindNeighborsResponse) ProtoMessage 

func (*FindNeighborsResponse) ProtoMessage()

func (*FindNeighborsResponse) ProtoReflect 

func (x *FindNeighborsResponse) ProtoReflect() protoreflect.Message

func (*FindNeighborsResponse) Reset 

func (x *FindNeighborsResponse) Reset()

func (*FindNeighborsResponse) String 

func (x *FindNeighborsResponse) String() string

type FindNeighborsResponse_NearestNeighbors 

type FindNeighborsResponse_NearestNeighbors struct {

	// The ID of the query datapoint.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// All its neighbors.
	Neighbors []*FindNeighborsResponse_Neighbor `protobuf:"bytes,2,rep,name=neighbors,proto3" json:"neighbors,omitempty"`
	// contains filtered or unexported fields
}

Nearest neighbors for one query.

func (*FindNeighborsResponse_NearestNeighbors) Descriptor 

func (*FindNeighborsResponse_NearestNeighbors) Descriptor() ([]byte, []int)

Deprecated: Use FindNeighborsResponse_NearestNeighbors.ProtoReflect.Descriptor instead.

func (*FindNeighborsResponse_NearestNeighbors) GetId 

func (x *FindNeighborsResponse_NearestNeighbors) GetId() string

func (*FindNeighborsResponse_NearestNeighbors) GetNeighbors 

func (x *FindNeighborsResponse_NearestNeighbors) GetNeighbors() []*FindNeighborsResponse_Neighbor

func (*FindNeighborsResponse_NearestNeighbors) ProtoMessage 

func (*FindNeighborsResponse_NearestNeighbors) ProtoMessage()

func (*FindNeighborsResponse_NearestNeighbors) ProtoReflect 

func (x *FindNeighborsResponse_NearestNeighbors) ProtoReflect() protoreflect.Message

func (*FindNeighborsResponse_NearestNeighbors) Reset 

func (x *FindNeighborsResponse_NearestNeighbors) Reset()

func (*FindNeighborsResponse_NearestNeighbors) String 

func (x *FindNeighborsResponse_NearestNeighbors) String() string

type FindNeighborsResponse_Neighbor 

type FindNeighborsResponse_Neighbor struct {

	// The datapoint of the neighbor.
	// Note that full datapoints are returned only when "return_full_datapoint"
	// is set to true. Otherwise, only the "datapoint_id" and "crowding_tag"
	// fields are populated.
	Datapoint *IndexDatapoint `protobuf:"bytes,1,opt,name=datapoint,proto3" json:"datapoint,omitempty"`
	// The distance between the neighbor and the dense embedding query.
	Distance float64 `protobuf:"fixed64,2,opt,name=distance,proto3" json:"distance,omitempty"`
	// The distance between the neighbor and the query sparse_embedding.
	SparseDistance float64 `protobuf:"fixed64,3,opt,name=sparse_distance,json=sparseDistance,proto3" json:"sparse_distance,omitempty"`
	// contains filtered or unexported fields
}

A neighbor of the query vector.

func (*FindNeighborsResponse_Neighbor) Descriptor 

func (*FindNeighborsResponse_Neighbor) Descriptor() ([]byte, []int)

Deprecated: Use FindNeighborsResponse_Neighbor.ProtoReflect.Descriptor instead.

func (*FindNeighborsResponse_Neighbor) GetDatapoint 

func (x *FindNeighborsResponse_Neighbor) GetDatapoint() *IndexDatapoint

func (*FindNeighborsResponse_Neighbor) GetDistance 

func (x *FindNeighborsResponse_Neighbor) GetDistance() float64

func (*FindNeighborsResponse_Neighbor) GetSparseDistance 

func (x *FindNeighborsResponse_Neighbor) GetSparseDistance() float64

func (*FindNeighborsResponse_Neighbor) ProtoMessage 

func (*FindNeighborsResponse_Neighbor) ProtoMessage()

func (*FindNeighborsResponse_Neighbor) ProtoReflect 

func (x *FindNeighborsResponse_Neighbor) ProtoReflect() protoreflect.Message

func (*FindNeighborsResponse_Neighbor) Reset 

func (x *FindNeighborsResponse_Neighbor) Reset()

func (*FindNeighborsResponse_Neighbor) String 

func (x *FindNeighborsResponse_Neighbor) String() string

type FluencyInput 

type FluencyInput struct {

	// Required. Spec for fluency score metric.
	MetricSpec *FluencySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Fluency instance.
	Instance *FluencyInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for fluency metric.

func (*FluencyInput) Descriptor 

func (*FluencyInput) Descriptor() ([]byte, []int)

Deprecated: Use FluencyInput.ProtoReflect.Descriptor instead.

func (*FluencyInput) GetInstance 

func (x *FluencyInput) GetInstance() *FluencyInstance

func (*FluencyInput) GetMetricSpec 

func (x *FluencyInput) GetMetricSpec() *FluencySpec

func (*FluencyInput) ProtoMessage 

func (*FluencyInput) ProtoMessage()

func (*FluencyInput) ProtoReflect 

func (x *FluencyInput) ProtoReflect() protoreflect.Message

func (*FluencyInput) Reset 

func (x *FluencyInput) Reset()

func (*FluencyInput) String 

func (x *FluencyInput) String() string

type FluencyInstance 

type FluencyInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// contains filtered or unexported fields
}

Spec for fluency instance.

func (*FluencyInstance) Descriptor 

func (*FluencyInstance) Descriptor() ([]byte, []int)

Deprecated: Use FluencyInstance.ProtoReflect.Descriptor instead.

func (*FluencyInstance) GetPrediction 

func (x *FluencyInstance) GetPrediction() string

func (*FluencyInstance) ProtoMessage 

func (*FluencyInstance) ProtoMessage()

func (*FluencyInstance) ProtoReflect 

func (x *FluencyInstance) ProtoReflect() protoreflect.Message

func (*FluencyInstance) Reset 

func (x *FluencyInstance) Reset()

func (*FluencyInstance) String 

func (x *FluencyInstance) String() string

type FluencyResult 

type FluencyResult struct {

	// Output only. Fluency score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for fluency score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for fluency score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for fluency result.

func (*FluencyResult) Descriptor 

func (*FluencyResult) Descriptor() ([]byte, []int)

Deprecated: Use FluencyResult.ProtoReflect.Descriptor instead.

func (*FluencyResult) GetConfidence 

func (x *FluencyResult) GetConfidence() float32

func (*FluencyResult) GetExplanation 

func (x *FluencyResult) GetExplanation() string

func (*FluencyResult) GetScore 

func (x *FluencyResult) GetScore() float32

func (*FluencyResult) ProtoMessage 

func (*FluencyResult) ProtoMessage()

func (*FluencyResult) ProtoReflect 

func (x *FluencyResult) ProtoReflect() protoreflect.Message

func (*FluencyResult) Reset 

func (x *FluencyResult) Reset()

func (*FluencyResult) String 

func (x *FluencyResult) String() string

type FluencySpec 

type FluencySpec struct {

	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for fluency score metric.

func (*FluencySpec) Descriptor 

func (*FluencySpec) Descriptor() ([]byte, []int)

Deprecated: Use FluencySpec.ProtoReflect.Descriptor instead.

func (*FluencySpec) GetVersion 

func (x *FluencySpec) GetVersion() int32

func (*FluencySpec) ProtoMessage 

func (*FluencySpec) ProtoMessage()

func (*FluencySpec) ProtoReflect 

func (x *FluencySpec) ProtoReflect() protoreflect.Message

func (*FluencySpec) Reset 

func (x *FluencySpec) Reset()

func (*FluencySpec) String 

func (x *FluencySpec) String() string

type FractionSplit 

type FractionSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// contains filtered or unexported fields
}

Assigns the input data to training, validation, and test sets as per the given fractions. Any of `training_fraction`, `validation_fraction` and `test_fraction` may optionally be provided, they must sum to up to 1. If the provided ones sum to less than 1, the remainder is assigned to sets as decided by Vertex AI. If none of the fractions are set, by default roughly 80% of data is used for training, 10% for validation, and 10% for test.

func (*FractionSplit) Descriptor 

func (*FractionSplit) Descriptor() ([]byte, []int)

Deprecated: Use FractionSplit.ProtoReflect.Descriptor instead.

func (*FractionSplit) GetTestFraction 

func (x *FractionSplit) GetTestFraction() float64

func (*FractionSplit) GetTrainingFraction 

func (x *FractionSplit) GetTrainingFraction() float64

func (*FractionSplit) GetValidationFraction 

func (x *FractionSplit) GetValidationFraction() float64

func (*FractionSplit) ProtoMessage 

func (*FractionSplit) ProtoMessage()

func (*FractionSplit) ProtoReflect 

func (x *FractionSplit) ProtoReflect() protoreflect.Message

func (*FractionSplit) Reset 

func (x *FractionSplit) Reset()

func (*FractionSplit) String 

func (x *FractionSplit) String() string

type FulfillmentInput 

type FulfillmentInput struct {

	// Required. Spec for fulfillment score metric.
	MetricSpec *FulfillmentSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Fulfillment instance.
	Instance *FulfillmentInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for fulfillment metric.

func (*FulfillmentInput) Descriptor 

func (*FulfillmentInput) Descriptor() ([]byte, []int)

Deprecated: Use FulfillmentInput.ProtoReflect.Descriptor instead.

func (*FulfillmentInput) GetInstance 

func (x *FulfillmentInput) GetInstance() *FulfillmentInstance

func (*FulfillmentInput) GetMetricSpec 

func (x *FulfillmentInput) GetMetricSpec() *FulfillmentSpec

func (*FulfillmentInput) ProtoMessage 

func (*FulfillmentInput) ProtoMessage()

func (*FulfillmentInput) ProtoReflect 

func (x *FulfillmentInput) ProtoReflect() protoreflect.Message

func (*FulfillmentInput) Reset 

func (x *FulfillmentInput) Reset()

func (*FulfillmentInput) String 

func (x *FulfillmentInput) String() string

type FulfillmentInstance 

type FulfillmentInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Inference instruction prompt to compare prediction with.
	Instruction *string `protobuf:"bytes,2,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for fulfillment instance.

func (*FulfillmentInstance) Descriptor 

func (*FulfillmentInstance) Descriptor() ([]byte, []int)

Deprecated: Use FulfillmentInstance.ProtoReflect.Descriptor instead.

func (*FulfillmentInstance) GetInstruction 

func (x *FulfillmentInstance) GetInstruction() string

func (*FulfillmentInstance) GetPrediction 

func (x *FulfillmentInstance) GetPrediction() string

func (*FulfillmentInstance) ProtoMessage 

func (*FulfillmentInstance) ProtoMessage()

func (*FulfillmentInstance) ProtoReflect 

func (x *FulfillmentInstance) ProtoReflect() protoreflect.Message

func (*FulfillmentInstance) Reset 

func (x *FulfillmentInstance) Reset()

func (*FulfillmentInstance) String 

func (x *FulfillmentInstance) String() string

type FulfillmentResult 

type FulfillmentResult struct {

	// Output only. Fulfillment score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for fulfillment score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for fulfillment score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for fulfillment result.

func (*FulfillmentResult) Descriptor 

func (*FulfillmentResult) Descriptor() ([]byte, []int)

Deprecated: Use FulfillmentResult.ProtoReflect.Descriptor instead.

func (*FulfillmentResult) GetConfidence 

func (x *FulfillmentResult) GetConfidence() float32

func (*FulfillmentResult) GetExplanation 

func (x *FulfillmentResult) GetExplanation() string

func (*FulfillmentResult) GetScore 

func (x *FulfillmentResult) GetScore() float32

func (*FulfillmentResult) ProtoMessage 

func (*FulfillmentResult) ProtoMessage()

func (*FulfillmentResult) ProtoReflect 

func (x *FulfillmentResult) ProtoReflect() protoreflect.Message

func (*FulfillmentResult) Reset 

func (x *FulfillmentResult) Reset()

func (*FulfillmentResult) String 

func (x *FulfillmentResult) String() string

type FulfillmentSpec 

type FulfillmentSpec struct {

	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for fulfillment metric.

func (*FulfillmentSpec) Descriptor 

func (*FulfillmentSpec) Descriptor() ([]byte, []int)

Deprecated: Use FulfillmentSpec.ProtoReflect.Descriptor instead.

func (*FulfillmentSpec) GetVersion 

func (x *FulfillmentSpec) GetVersion() int32

func (*FulfillmentSpec) ProtoMessage 

func (*FulfillmentSpec) ProtoMessage()

func (*FulfillmentSpec) ProtoReflect 

func (x *FulfillmentSpec) ProtoReflect() protoreflect.Message

func (*FulfillmentSpec) Reset 

func (x *FulfillmentSpec) Reset()

func (*FulfillmentSpec) String 

func (x *FulfillmentSpec) String() string

type FunctionCall 

type FunctionCall struct {

	// Required. The name of the function to call.
	// Matches [FunctionDeclaration.name].
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. Required. The function parameters and values in JSON object
	// format. See [FunctionDeclaration.parameters] for parameter details.
	Args *structpb.Struct `protobuf:"bytes,2,opt,name=args,proto3" json:"args,omitempty"`
	// contains filtered or unexported fields
}

A predicted FunctionCall returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values.

func (*FunctionCall) Descriptor 

func (*FunctionCall) Descriptor() ([]byte, []int)

Deprecated: Use FunctionCall.ProtoReflect.Descriptor instead.

func (*FunctionCall) GetArgs 

func (x *FunctionCall) GetArgs() *structpb.Struct

func (*FunctionCall) GetName 

func (x *FunctionCall) GetName() string

func (*FunctionCall) ProtoMessage 

func (*FunctionCall) ProtoMessage()

func (*FunctionCall) ProtoReflect 

func (x *FunctionCall) ProtoReflect() protoreflect.Message

func (*FunctionCall) Reset 

func (x *FunctionCall) Reset()

func (*FunctionCall) String 

func (x *FunctionCall) String() string

type FunctionCallingConfig 

type FunctionCallingConfig struct {

	// Optional. Function calling mode.
	Mode FunctionCallingConfig_Mode `protobuf:"varint,1,opt,name=mode,proto3,enum=google.cloud.aiplatform.v1.FunctionCallingConfig_Mode" json:"mode,omitempty"`
	// Optional. Function names to call. Only set when the Mode is ANY. Function
	// names should match [FunctionDeclaration.name]. With mode set to ANY, model
	// will predict a function call from the set of function names provided.
	AllowedFunctionNames []string `protobuf:"bytes,2,rep,name=allowed_function_names,json=allowedFunctionNames,proto3" json:"allowed_function_names,omitempty"`
	// contains filtered or unexported fields
}

Function calling config.

func (*FunctionCallingConfig) Descriptor 

func (*FunctionCallingConfig) Descriptor() ([]byte, []int)

Deprecated: Use FunctionCallingConfig.ProtoReflect.Descriptor instead.

func (*FunctionCallingConfig) GetAllowedFunctionNames 

func (x *FunctionCallingConfig) GetAllowedFunctionNames() []string

func (*FunctionCallingConfig) GetMode 

func (x *FunctionCallingConfig) GetMode() FunctionCallingConfig_Mode

func (*FunctionCallingConfig) ProtoMessage 

func (*FunctionCallingConfig) ProtoMessage()

func (*FunctionCallingConfig) ProtoReflect 

func (x *FunctionCallingConfig) ProtoReflect() protoreflect.Message

func (*FunctionCallingConfig) Reset 

func (x *FunctionCallingConfig) Reset()

func (*FunctionCallingConfig) String 

func (x *FunctionCallingConfig) String() string

type FunctionCallingConfig_Mode 

type FunctionCallingConfig_Mode int32

Function calling mode. 

const (
	// Unspecified function calling mode. This value should not be used.
	FunctionCallingConfig_MODE_UNSPECIFIED FunctionCallingConfig_Mode = 0
	// Default model behavior, model decides to predict either a function call
	// or a natural language response.
	FunctionCallingConfig_AUTO FunctionCallingConfig_Mode = 1
	// Model is constrained to always predicting a function call only.
	// If "allowed_function_names" are set, the predicted function call will be
	// limited to any one of "allowed_function_names", else the predicted
	// function call will be any one of the provided "function_declarations".
	FunctionCallingConfig_ANY FunctionCallingConfig_Mode = 2
	// Model will not predict any function call. Model behavior is same as when
	// not passing any function declarations.
	FunctionCallingConfig_NONE FunctionCallingConfig_Mode = 3
)

func (FunctionCallingConfig_Mode) Descriptor 

func (FunctionCallingConfig_Mode) Descriptor() protoreflect.EnumDescriptor

func (FunctionCallingConfig_Mode) Enum 

func (x FunctionCallingConfig_Mode) Enum() *FunctionCallingConfig_Mode

func (FunctionCallingConfig_Mode) EnumDescriptor 

func (FunctionCallingConfig_Mode) EnumDescriptor() ([]byte, []int)

Deprecated: Use FunctionCallingConfig_Mode.Descriptor instead.

func (FunctionCallingConfig_Mode) Number 

func (x FunctionCallingConfig_Mode) Number() protoreflect.EnumNumber

func (FunctionCallingConfig_Mode) String 

func (x FunctionCallingConfig_Mode) String() string

func (FunctionCallingConfig_Mode) Type 

func (FunctionCallingConfig_Mode) Type() protoreflect.EnumType

type FunctionDeclaration 

type FunctionDeclaration struct {

	// Required. The name of the function to call.
	// Must start with a letter or an underscore.
	// Must be a-z, A-Z, 0-9, or contain underscores, dots and dashes, with a
	// maximum length of 64.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. Description and purpose of the function.
	// Model uses it to decide how and whether to call the function.
	Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
	// Optional. Describes the parameters to this function in JSON Schema Object
	// format. Reflects the Open API 3.03 Parameter Object. string Key: the name
	// of the parameter. Parameter names are case sensitive. Schema Value: the
	// Schema defining the type used for the parameter. For function with no
	// parameters, this can be left unset. Parameter names must start with a
	// letter or an underscore and must only contain chars a-z, A-Z, 0-9, or
	// underscores with a maximum length of 64. Example with 1 required and 1
	// optional parameter: type: OBJECT properties:
	//
	//	param1:
	//	  type: STRING
	//	param2:
	//	  type: INTEGER
	//
	// required:
	//   - param1
	Parameters *Schema `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// Optional. Describes the output from this function in JSON Schema format.
	// Reflects the Open API 3.03 Response Object. The Schema defines the type
	// used for the response value of the function.
	Response *Schema `protobuf:"bytes,4,opt,name=response,proto3" json:"response,omitempty"`
	// contains filtered or unexported fields
}

Structured representation of a function declaration as defined by the [OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name, description, parameters and response type. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.

func (*FunctionDeclaration) Descriptor 

func (*FunctionDeclaration) Descriptor() ([]byte, []int)

Deprecated: Use FunctionDeclaration.ProtoReflect.Descriptor instead.

func (*FunctionDeclaration) GetDescription 

func (x *FunctionDeclaration) GetDescription() string

func (*FunctionDeclaration) GetName 

func (x *FunctionDeclaration) GetName() string

func (*FunctionDeclaration) GetParameters 

func (x *FunctionDeclaration) GetParameters() *Schema

func (*FunctionDeclaration) GetResponse 

func (x *FunctionDeclaration) GetResponse() *Schema

func (*FunctionDeclaration) ProtoMessage 

func (*FunctionDeclaration) ProtoMessage()

func (*FunctionDeclaration) ProtoReflect 

func (x *FunctionDeclaration) ProtoReflect() protoreflect.Message

func (*FunctionDeclaration) Reset 

func (x *FunctionDeclaration) Reset()

func (*FunctionDeclaration) String 

func (x *FunctionDeclaration) String() string

type FunctionResponse 

type FunctionResponse struct {

	// Required. The name of the function to call.
	// Matches [FunctionDeclaration.name] and [FunctionCall.name].
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The function response in JSON object format.
	// Use "output" key to specify function output and "error" key to specify
	// error details (if any). If "output" and "error" keys are not specified,
	// then whole "response" is treated as function output.
	Response *structpb.Struct `protobuf:"bytes,2,opt,name=response,proto3" json:"response,omitempty"`
	// contains filtered or unexported fields
}

The result output from a FunctionCall that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a FunctionCall made based on model prediction.

func (*FunctionResponse) Descriptor 

func (*FunctionResponse) Descriptor() ([]byte, []int)

Deprecated: Use FunctionResponse.ProtoReflect.Descriptor instead.

func (*FunctionResponse) GetName 

func (x *FunctionResponse) GetName() string

func (*FunctionResponse) GetResponse 

func (x *FunctionResponse) GetResponse() *structpb.Struct

func (*FunctionResponse) ProtoMessage 

func (*FunctionResponse) ProtoMessage()

func (*FunctionResponse) ProtoReflect 

func (x *FunctionResponse) ProtoReflect() protoreflect.Message

func (*FunctionResponse) Reset 

func (x *FunctionResponse) Reset()

func (*FunctionResponse) String 

func (x *FunctionResponse) String() string

type GcsDestination 

type GcsDestination struct {

	// Required. Google Cloud Storage URI to output directory. If the uri doesn't
	// end with
	// '/', a '/' will be automatically appended. The directory is created if it
	// doesn't exist.
	OutputUriPrefix string `protobuf:"bytes,1,opt,name=output_uri_prefix,json=outputUriPrefix,proto3" json:"output_uri_prefix,omitempty"`
	// contains filtered or unexported fields
}

The Google Cloud Storage location where the output is to be written to.

func (*GcsDestination) Descriptor 

func (*GcsDestination) Descriptor() ([]byte, []int)

Deprecated: Use GcsDestination.ProtoReflect.Descriptor instead.

func (*GcsDestination) GetOutputUriPrefix 

func (x *GcsDestination) GetOutputUriPrefix() string

func (*GcsDestination) ProtoMessage 

func (*GcsDestination) ProtoMessage()

func (*GcsDestination) ProtoReflect 

func (x *GcsDestination) ProtoReflect() protoreflect.Message

func (*GcsDestination) Reset 

func (x *GcsDestination) Reset()

func (*GcsDestination) String 

func (x *GcsDestination) String() string

type GcsSource 

type GcsSource struct {

	// Required. Google Cloud Storage URI(-s) to the input file(s). May contain
	// wildcards. For more information on wildcards, see
	// https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
	Uris []string `protobuf:"bytes,1,rep,name=uris,proto3" json:"uris,omitempty"`
	// contains filtered or unexported fields
}

The Google Cloud Storage location for the input content.

func (*GcsSource) Descriptor 

func (*GcsSource) Descriptor() ([]byte, []int)

Deprecated: Use GcsSource.ProtoReflect.Descriptor instead.

func (*GcsSource) GetUris 

func (x *GcsSource) GetUris() []string

func (*GcsSource) ProtoMessage 

func (*GcsSource) ProtoMessage()

func (*GcsSource) ProtoReflect 

func (x *GcsSource) ProtoReflect() protoreflect.Message

func (*GcsSource) Reset 

func (x *GcsSource) Reset()

func (*GcsSource) String 

func (x *GcsSource) String() string

type GenAiCacheServiceClient 

type GenAiCacheServiceClient interface {
	// Creates cached content, this call will initialize the cached content in the
	// data storage, and users need to pay for the cache data storage.
	CreateCachedContent(ctx context.Context, in *CreateCachedContentRequest, opts ...grpc.CallOption) (*CachedContent, error)
	// Gets cached content configurations
	GetCachedContent(ctx context.Context, in *GetCachedContentRequest, opts ...grpc.CallOption) (*CachedContent, error)
	// Updates cached content configurations
	UpdateCachedContent(ctx context.Context, in *UpdateCachedContentRequest, opts ...grpc.CallOption) (*CachedContent, error)
	// Deletes cached content
	DeleteCachedContent(ctx context.Context, in *DeleteCachedContentRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Lists cached contents in a project
	ListCachedContents(ctx context.Context, in *ListCachedContentsRequest, opts ...grpc.CallOption) (*ListCachedContentsResponse, error)
}

GenAiCacheServiceClient is the client API for GenAiCacheService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewGenAiCacheServiceClient 

func NewGenAiCacheServiceClient(cc grpc.ClientConnInterface) GenAiCacheServiceClient

type GenAiCacheServiceServer 

type GenAiCacheServiceServer interface {
	// Creates cached content, this call will initialize the cached content in the
	// data storage, and users need to pay for the cache data storage.
	CreateCachedContent(context.Context, *CreateCachedContentRequest) (*CachedContent, error)
	// Gets cached content configurations
	GetCachedContent(context.Context, *GetCachedContentRequest) (*CachedContent, error)
	// Updates cached content configurations
	UpdateCachedContent(context.Context, *UpdateCachedContentRequest) (*CachedContent, error)
	// Deletes cached content
	DeleteCachedContent(context.Context, *DeleteCachedContentRequest) (*emptypb.Empty, error)
	// Lists cached contents in a project
	ListCachedContents(context.Context, *ListCachedContentsRequest) (*ListCachedContentsResponse, error)
}

GenAiCacheServiceServer is the server API for GenAiCacheService service.

type GenAiTuningServiceClient 

type GenAiTuningServiceClient interface {
	// Creates a TuningJob. A created TuningJob right away will be attempted to
	// be run.
	CreateTuningJob(ctx context.Context, in *CreateTuningJobRequest, opts ...grpc.CallOption) (*TuningJob, error)
	// Gets a TuningJob.
	GetTuningJob(ctx context.Context, in *GetTuningJobRequest, opts ...grpc.CallOption) (*TuningJob, error)
	// Lists TuningJobs in a Location.
	ListTuningJobs(ctx context.Context, in *ListTuningJobsRequest, opts ...grpc.CallOption) (*ListTuningJobsResponse, error)
	// Cancels a TuningJob.
	// Starts asynchronous cancellation on the TuningJob. The server makes a best
	// effort to cancel the job, but success is not guaranteed. Clients can use
	// [GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.GetTuningJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation, the
	// TuningJob is not deleted; instead it becomes a job with a
	// [TuningJob.error][google.cloud.aiplatform.v1.TuningJob.error] value with a
	// [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [TuningJob.state][google.cloud.aiplatform.v1.TuningJob.state] is set to
	// `CANCELLED`.
	CancelTuningJob(ctx context.Context, in *CancelTuningJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Rebase a TunedModel.
	RebaseTunedModel(ctx context.Context, in *RebaseTunedModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

GenAiTuningServiceClient is the client API for GenAiTuningService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewGenAiTuningServiceClient 

func NewGenAiTuningServiceClient(cc grpc.ClientConnInterface) GenAiTuningServiceClient

type GenAiTuningServiceServer 

type GenAiTuningServiceServer interface {
	// Creates a TuningJob. A created TuningJob right away will be attempted to
	// be run.
	CreateTuningJob(context.Context, *CreateTuningJobRequest) (*TuningJob, error)
	// Gets a TuningJob.
	GetTuningJob(context.Context, *GetTuningJobRequest) (*TuningJob, error)
	// Lists TuningJobs in a Location.
	ListTuningJobs(context.Context, *ListTuningJobsRequest) (*ListTuningJobsResponse, error)
	// Cancels a TuningJob.
	// Starts asynchronous cancellation on the TuningJob. The server makes a best
	// effort to cancel the job, but success is not guaranteed. Clients can use
	// [GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.GetTuningJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation, the
	// TuningJob is not deleted; instead it becomes a job with a
	// [TuningJob.error][google.cloud.aiplatform.v1.TuningJob.error] value with a
	// [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [TuningJob.state][google.cloud.aiplatform.v1.TuningJob.state] is set to
	// `CANCELLED`.
	CancelTuningJob(context.Context, *CancelTuningJobRequest) (*emptypb.Empty, error)
	// Rebase a TunedModel.
	RebaseTunedModel(context.Context, *RebaseTunedModelRequest) (*longrunningpb.Operation, error)
}

GenAiTuningServiceServer is the server API for GenAiTuningService service.

type GenerateContentRequest 

type GenerateContentRequest struct {

	// Required. The fully qualified name of the publisher model or tuned model
	// endpoint to use.
	//
	// Publisher model format:
	// `projects/{project}/locations/{location}/publishers/*/models/*`
	//
	// Tuned model endpoint format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Model string `protobuf:"bytes,5,opt,name=model,proto3" json:"model,omitempty"`
	// Required. The content of the current conversation with the model.
	//
	// For single-turn queries, this is a single instance. For multi-turn queries,
	// this is a repeated field that contains conversation history + latest
	// request.
	Contents []*Content `protobuf:"bytes,2,rep,name=contents,proto3" json:"contents,omitempty"`
	// Optional. The user provided system instructions for the model.
	// Note: only text should be used in parts and content in each part will be in
	// a separate paragraph.
	SystemInstruction *Content `protobuf:"bytes,8,opt,name=system_instruction,json=systemInstruction,proto3,oneof" json:"system_instruction,omitempty"`
	// Optional. The name of the cached content used as context to serve the
	// prediction. Note: only used in explicit caching, where users can have
	// control over caching (e.g. what content to cache) and enjoy guaranteed cost
	// savings. Format:
	// `projects/{project}/locations/{location}/cachedContents/{cachedContent}`
	CachedContent string `protobuf:"bytes,9,opt,name=cached_content,json=cachedContent,proto3" json:"cached_content,omitempty"`
	// Optional. A list of `Tools` the model may use to generate the next
	// response.
	//
	// A `Tool` is a piece of code that enables the system to interact with
	// external systems to perform an action, or set of actions, outside of
	// knowledge and scope of the model.
	Tools []*Tool `protobuf:"bytes,6,rep,name=tools,proto3" json:"tools,omitempty"`
	// Optional. Tool config. This config is shared for all tools provided in the
	// request.
	ToolConfig *ToolConfig `protobuf:"bytes,7,opt,name=tool_config,json=toolConfig,proto3" json:"tool_config,omitempty"`
	// Optional. The labels with user-defined metadata for the request. It is used
	// for billing and reporting only.
	//
	// Label keys and values can be no longer than 63 characters
	// (Unicode codepoints) and can only contain lowercase letters, numeric
	// characters, underscores, and dashes. International characters are allowed.
	// Label values are optional. Label keys must start with a letter.
	Labels map[string]string `protobuf:"bytes,10,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Optional. Per request settings for blocking unsafe content.
	// Enforced on GenerateContentResponse.candidates.
	SafetySettings []*SafetySetting `protobuf:"bytes,3,rep,name=safety_settings,json=safetySettings,proto3" json:"safety_settings,omitempty"`
	// Optional. Generation config.
	GenerationConfig *GenerationConfig `protobuf:"bytes,4,opt,name=generation_config,json=generationConfig,proto3" json:"generation_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.GenerateContent].

func (*GenerateContentRequest) Descriptor 

func (*GenerateContentRequest) Descriptor() ([]byte, []int)

Deprecated: Use GenerateContentRequest.ProtoReflect.Descriptor instead.

func (*GenerateContentRequest) GetCachedContent 

func (x *GenerateContentRequest) GetCachedContent() string

func (*GenerateContentRequest) GetContents 

func (x *GenerateContentRequest) GetContents() []*Content

func (*GenerateContentRequest) GetGenerationConfig 

func (x *GenerateContentRequest) GetGenerationConfig() *GenerationConfig

func (*GenerateContentRequest) GetLabels 

func (x *GenerateContentRequest) GetLabels() map[string]string

func (*GenerateContentRequest) GetModel 

func (x *GenerateContentRequest) GetModel() string

func (*GenerateContentRequest) GetSafetySettings 

func (x *GenerateContentRequest) GetSafetySettings() []*SafetySetting

func (*GenerateContentRequest) GetSystemInstruction 

func (x *GenerateContentRequest) GetSystemInstruction() *Content

func (*GenerateContentRequest) GetToolConfig 

func (x *GenerateContentRequest) GetToolConfig() *ToolConfig

func (*GenerateContentRequest) GetTools 

func (x *GenerateContentRequest) GetTools() []*Tool

func (*GenerateContentRequest) ProtoMessage 

func (*GenerateContentRequest) ProtoMessage()

func (*GenerateContentRequest) ProtoReflect 

func (x *GenerateContentRequest) ProtoReflect() protoreflect.Message

func (*GenerateContentRequest) Reset 

func (x *GenerateContentRequest) Reset()

func (*GenerateContentRequest) String 

func (x *GenerateContentRequest) String() string

type GenerateContentResponse 

type GenerateContentResponse struct {

	// Output only. Generated candidates.
	Candidates []*Candidate `protobuf:"bytes,2,rep,name=candidates,proto3" json:"candidates,omitempty"`
	// Output only. The model version used to generate the response.
	ModelVersion string `protobuf:"bytes,11,opt,name=model_version,json=modelVersion,proto3" json:"model_version,omitempty"`
	// Output only. Timestamp when the request is made to the server.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. response_id is used to identify each response. It is the
	// encoding of the event_id.
	ResponseId string `protobuf:"bytes,13,opt,name=response_id,json=responseId,proto3" json:"response_id,omitempty"`
	// Output only. Content filter results for a prompt sent in the request.
	// Note: Sent only in the first stream chunk.
	// Only happens when no candidates were generated due to content violations.
	PromptFeedback *GenerateContentResponse_PromptFeedback `protobuf:"bytes,3,opt,name=prompt_feedback,json=promptFeedback,proto3" json:"prompt_feedback,omitempty"`
	// Usage metadata about the response(s).
	UsageMetadata *GenerateContentResponse_UsageMetadata `protobuf:"bytes,4,opt,name=usage_metadata,json=usageMetadata,proto3" json:"usage_metadata,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.GenerateContent].

func (*GenerateContentResponse) Descriptor 

func (*GenerateContentResponse) Descriptor() ([]byte, []int)

Deprecated: Use GenerateContentResponse.ProtoReflect.Descriptor instead.

func (*GenerateContentResponse) GetCandidates 

func (x *GenerateContentResponse) GetCandidates() []*Candidate

func (*GenerateContentResponse) GetCreateTime 

func (x *GenerateContentResponse) GetCreateTime() *timestamppb.Timestamp

func (*GenerateContentResponse) GetModelVersion 

func (x *GenerateContentResponse) GetModelVersion() string

func (*GenerateContentResponse) GetPromptFeedback 

func (x *GenerateContentResponse) GetPromptFeedback() *GenerateContentResponse_PromptFeedback

func (*GenerateContentResponse) GetResponseId 

func (x *GenerateContentResponse) GetResponseId() string

func (*GenerateContentResponse) GetUsageMetadata 

func (x *GenerateContentResponse) GetUsageMetadata() *GenerateContentResponse_UsageMetadata

func (*GenerateContentResponse) ProtoMessage 

func (*GenerateContentResponse) ProtoMessage()

func (*GenerateContentResponse) ProtoReflect 

func (x *GenerateContentResponse) ProtoReflect() protoreflect.Message

func (*GenerateContentResponse) Reset 

func (x *GenerateContentResponse) Reset()

func (*GenerateContentResponse) String 

func (x *GenerateContentResponse) String() string

type GenerateContentResponse_PromptFeedback 

type GenerateContentResponse_PromptFeedback struct {

	// Output only. Blocked reason.
	BlockReason GenerateContentResponse_PromptFeedback_BlockedReason `protobuf:"varint,1,opt,name=block_reason,json=blockReason,proto3,enum=google.cloud.aiplatform.v1.GenerateContentResponse_PromptFeedback_BlockedReason" json:"block_reason,omitempty"`
	// Output only. Safety ratings.
	SafetyRatings []*SafetyRating `protobuf:"bytes,2,rep,name=safety_ratings,json=safetyRatings,proto3" json:"safety_ratings,omitempty"`
	// Output only. A readable block reason message.
	BlockReasonMessage string `protobuf:"bytes,3,opt,name=block_reason_message,json=blockReasonMessage,proto3" json:"block_reason_message,omitempty"`
	// contains filtered or unexported fields
}

Content filter results for a prompt sent in the request.

func (*GenerateContentResponse_PromptFeedback) Descriptor 

func (*GenerateContentResponse_PromptFeedback) Descriptor() ([]byte, []int)

Deprecated: Use GenerateContentResponse_PromptFeedback.ProtoReflect.Descriptor instead.

func (*GenerateContentResponse_PromptFeedback) GetBlockReason 

func (x *GenerateContentResponse_PromptFeedback) GetBlockReason() GenerateContentResponse_PromptFeedback_BlockedReason

func (*GenerateContentResponse_PromptFeedback) GetBlockReasonMessage 

func (x *GenerateContentResponse_PromptFeedback) GetBlockReasonMessage() string

func (*GenerateContentResponse_PromptFeedback) GetSafetyRatings 

func (x *GenerateContentResponse_PromptFeedback) GetSafetyRatings() []*SafetyRating

func (*GenerateContentResponse_PromptFeedback) ProtoMessage 

func (*GenerateContentResponse_PromptFeedback) ProtoMessage()

func (*GenerateContentResponse_PromptFeedback) ProtoReflect 

func (x *GenerateContentResponse_PromptFeedback) ProtoReflect() protoreflect.Message

func (*GenerateContentResponse_PromptFeedback) Reset 

func (x *GenerateContentResponse_PromptFeedback) Reset()

func (*GenerateContentResponse_PromptFeedback) String 

func (x *GenerateContentResponse_PromptFeedback) String() string

type GenerateContentResponse_PromptFeedback_BlockedReason 

type GenerateContentResponse_PromptFeedback_BlockedReason int32

Blocked reason enumeration. 

const (
	// Unspecified blocked reason.
	GenerateContentResponse_PromptFeedback_BLOCKED_REASON_UNSPECIFIED GenerateContentResponse_PromptFeedback_BlockedReason = 0
	// Candidates blocked due to safety.
	GenerateContentResponse_PromptFeedback_SAFETY GenerateContentResponse_PromptFeedback_BlockedReason = 1
	// Candidates blocked due to other reason.
	GenerateContentResponse_PromptFeedback_OTHER GenerateContentResponse_PromptFeedback_BlockedReason = 2
	// Candidates blocked due to the terms which are included from the
	// terminology blocklist.
	GenerateContentResponse_PromptFeedback_BLOCKLIST GenerateContentResponse_PromptFeedback_BlockedReason = 3
	// Candidates blocked due to prohibited content.
	GenerateContentResponse_PromptFeedback_PROHIBITED_CONTENT GenerateContentResponse_PromptFeedback_BlockedReason = 4
)

func (GenerateContentResponse_PromptFeedback_BlockedReason) Descriptor 

func (GenerateContentResponse_PromptFeedback_BlockedReason) Descriptor() protoreflect.EnumDescriptor

func (GenerateContentResponse_PromptFeedback_BlockedReason) Enum 

func (x GenerateContentResponse_PromptFeedback_BlockedReason) Enum() *GenerateContentResponse_PromptFeedback_BlockedReason

func (GenerateContentResponse_PromptFeedback_BlockedReason) EnumDescriptor 

func (GenerateContentResponse_PromptFeedback_BlockedReason) EnumDescriptor() ([]byte, []int)

Deprecated: Use GenerateContentResponse_PromptFeedback_BlockedReason.Descriptor instead.

func (GenerateContentResponse_PromptFeedback_BlockedReason) Number 

func (x GenerateContentResponse_PromptFeedback_BlockedReason) Number() protoreflect.EnumNumber

func (GenerateContentResponse_PromptFeedback_BlockedReason) String 

func (x GenerateContentResponse_PromptFeedback_BlockedReason) String() string

func (GenerateContentResponse_PromptFeedback_BlockedReason) Type 

func (GenerateContentResponse_PromptFeedback_BlockedReason) Type() protoreflect.EnumType

type GenerateContentResponse_UsageMetadata 

type GenerateContentResponse_UsageMetadata struct {

	// Number of tokens in the request. When `cached_content` is set, this is
	// still the total effective prompt size meaning this includes the number of
	// tokens in the cached content.
	PromptTokenCount int32 `protobuf:"varint,1,opt,name=prompt_token_count,json=promptTokenCount,proto3" json:"prompt_token_count,omitempty"`
	// Number of tokens in the response(s).
	CandidatesTokenCount int32 `protobuf:"varint,2,opt,name=candidates_token_count,json=candidatesTokenCount,proto3" json:"candidates_token_count,omitempty"`
	// Total token count for prompt and response candidates.
	TotalTokenCount int32 `protobuf:"varint,3,opt,name=total_token_count,json=totalTokenCount,proto3" json:"total_token_count,omitempty"`
	// Output only. Number of tokens in the cached part in the input (the cached
	// content).
	CachedContentTokenCount int32 `protobuf:"varint,5,opt,name=cached_content_token_count,json=cachedContentTokenCount,proto3" json:"cached_content_token_count,omitempty"`
	// Output only. List of modalities that were processed in the request input.
	PromptTokensDetails []*ModalityTokenCount `protobuf:"bytes,9,rep,name=prompt_tokens_details,json=promptTokensDetails,proto3" json:"prompt_tokens_details,omitempty"`
	// Output only. List of modalities of the cached content in the request
	// input.
	CacheTokensDetails []*ModalityTokenCount `protobuf:"bytes,10,rep,name=cache_tokens_details,json=cacheTokensDetails,proto3" json:"cache_tokens_details,omitempty"`
	// Output only. List of modalities that were returned in the response.
	CandidatesTokensDetails []*ModalityTokenCount `protobuf:"bytes,11,rep,name=candidates_tokens_details,json=candidatesTokensDetails,proto3" json:"candidates_tokens_details,omitempty"`
	// contains filtered or unexported fields
}

Usage metadata about response(s).

func (*GenerateContentResponse_UsageMetadata) Descriptor 

func (*GenerateContentResponse_UsageMetadata) Descriptor() ([]byte, []int)

Deprecated: Use GenerateContentResponse_UsageMetadata.ProtoReflect.Descriptor instead.

func (*GenerateContentResponse_UsageMetadata) GetCacheTokensDetails 

func (x *GenerateContentResponse_UsageMetadata) GetCacheTokensDetails() []*ModalityTokenCount

func (*GenerateContentResponse_UsageMetadata) GetCachedContentTokenCount 

func (x *GenerateContentResponse_UsageMetadata) GetCachedContentTokenCount() int32

func (*GenerateContentResponse_UsageMetadata) GetCandidatesTokenCount 

func (x *GenerateContentResponse_UsageMetadata) GetCandidatesTokenCount() int32

func (*GenerateContentResponse_UsageMetadata) GetCandidatesTokensDetails 

func (x *GenerateContentResponse_UsageMetadata) GetCandidatesTokensDetails() []*ModalityTokenCount

func (*GenerateContentResponse_UsageMetadata) GetPromptTokenCount 

func (x *GenerateContentResponse_UsageMetadata) GetPromptTokenCount() int32

func (*GenerateContentResponse_UsageMetadata) GetPromptTokensDetails 

func (x *GenerateContentResponse_UsageMetadata) GetPromptTokensDetails() []*ModalityTokenCount

func (*GenerateContentResponse_UsageMetadata) GetTotalTokenCount 

func (x *GenerateContentResponse_UsageMetadata) GetTotalTokenCount() int32

func (*GenerateContentResponse_UsageMetadata) ProtoMessage 

func (*GenerateContentResponse_UsageMetadata) ProtoMessage()

func (*GenerateContentResponse_UsageMetadata) ProtoReflect 

func (x *GenerateContentResponse_UsageMetadata) ProtoReflect() protoreflect.Message

func (*GenerateContentResponse_UsageMetadata) Reset 

func (x *GenerateContentResponse_UsageMetadata) Reset()

func (*GenerateContentResponse_UsageMetadata) String 

func (x *GenerateContentResponse_UsageMetadata) String() string

type GenerationConfig 

type GenerationConfig struct {

	// Optional. Controls the randomness of predictions.
	Temperature *float32 `protobuf:"fixed32,1,opt,name=temperature,proto3,oneof" json:"temperature,omitempty"`
	// Optional. If specified, nucleus sampling will be used.
	TopP *float32 `protobuf:"fixed32,2,opt,name=top_p,json=topP,proto3,oneof" json:"top_p,omitempty"`
	// Optional. If specified, top-k sampling will be used.
	TopK *float32 `protobuf:"fixed32,3,opt,name=top_k,json=topK,proto3,oneof" json:"top_k,omitempty"`
	// Optional. Number of candidates to generate.
	CandidateCount *int32 `protobuf:"varint,4,opt,name=candidate_count,json=candidateCount,proto3,oneof" json:"candidate_count,omitempty"`
	// Optional. The maximum number of output tokens to generate per message.
	MaxOutputTokens *int32 `protobuf:"varint,5,opt,name=max_output_tokens,json=maxOutputTokens,proto3,oneof" json:"max_output_tokens,omitempty"`
	// Optional. Stop sequences.
	StopSequences []string `protobuf:"bytes,6,rep,name=stop_sequences,json=stopSequences,proto3" json:"stop_sequences,omitempty"`
	// Optional. If true, export the logprobs results in response.
	ResponseLogprobs *bool `protobuf:"varint,18,opt,name=response_logprobs,json=responseLogprobs,proto3,oneof" json:"response_logprobs,omitempty"`
	// Optional. Logit probabilities.
	Logprobs *int32 `protobuf:"varint,7,opt,name=logprobs,proto3,oneof" json:"logprobs,omitempty"`
	// Optional. Positive penalties.
	PresencePenalty *float32 `protobuf:"fixed32,8,opt,name=presence_penalty,json=presencePenalty,proto3,oneof" json:"presence_penalty,omitempty"`
	// Optional. Frequency penalties.
	FrequencyPenalty *float32 `protobuf:"fixed32,9,opt,name=frequency_penalty,json=frequencyPenalty,proto3,oneof" json:"frequency_penalty,omitempty"`
	// Optional. Seed.
	Seed *int32 `protobuf:"varint,12,opt,name=seed,proto3,oneof" json:"seed,omitempty"`
	// Optional. Output response mimetype of the generated candidate text.
	// Supported mimetype:
	// - `text/plain`: (default) Text output.
	// - `application/json`: JSON response in the candidates.
	// The model needs to be prompted to output the appropriate response type,
	// otherwise the behavior is undefined.
	// This is a preview feature.
	ResponseMimeType string `protobuf:"bytes,13,opt,name=response_mime_type,json=responseMimeType,proto3" json:"response_mime_type,omitempty"`
	// Optional. The `Schema` object allows the definition of input and output
	// data types. These types can be objects, but also primitives and arrays.
	// Represents a select subset of an [OpenAPI 3.0 schema
	// object](https://spec.openapis.org/oas/v3.0.3#schema).
	// If set, a compatible response_mime_type must also be set.
	// Compatible mimetypes:
	// `application/json`: Schema for JSON response.
	ResponseSchema *Schema `protobuf:"bytes,16,opt,name=response_schema,json=responseSchema,proto3,oneof" json:"response_schema,omitempty"`
	// Optional. Routing configuration.
	RoutingConfig *GenerationConfig_RoutingConfig `protobuf:"bytes,17,opt,name=routing_config,json=routingConfig,proto3,oneof" json:"routing_config,omitempty"`
	// contains filtered or unexported fields
}

Generation config.

func (*GenerationConfig) Descriptor 

func (*GenerationConfig) Descriptor() ([]byte, []int)

Deprecated: Use GenerationConfig.ProtoReflect.Descriptor instead.

func (*GenerationConfig) GetCandidateCount 

func (x *GenerationConfig) GetCandidateCount() int32

func (*GenerationConfig) GetFrequencyPenalty 

func (x *GenerationConfig) GetFrequencyPenalty() float32

func (*GenerationConfig) GetLogprobs 

func (x *GenerationConfig) GetLogprobs() int32

func (*GenerationConfig) GetMaxOutputTokens 

func (x *GenerationConfig) GetMaxOutputTokens() int32

func (*GenerationConfig) GetPresencePenalty 

func (x *GenerationConfig) GetPresencePenalty() float32

func (*GenerationConfig) GetResponseLogprobs 

func (x *GenerationConfig) GetResponseLogprobs() bool

func (*GenerationConfig) GetResponseMimeType 

func (x *GenerationConfig) GetResponseMimeType() string

func (*GenerationConfig) GetResponseSchema 

func (x *GenerationConfig) GetResponseSchema() *Schema

func (*GenerationConfig) GetRoutingConfig 

func (x *GenerationConfig) GetRoutingConfig() *GenerationConfig_RoutingConfig

func (*GenerationConfig) GetSeed 

func (x *GenerationConfig) GetSeed() int32

func (*GenerationConfig) GetStopSequences 

func (x *GenerationConfig) GetStopSequences() []string

func (*GenerationConfig) GetTemperature 

func (x *GenerationConfig) GetTemperature() float32

func (*GenerationConfig) GetTopK 

func (x *GenerationConfig) GetTopK() float32

func (*GenerationConfig) GetTopP 

func (x *GenerationConfig) GetTopP() float32

func (*GenerationConfig) ProtoMessage 

func (*GenerationConfig) ProtoMessage()

func (*GenerationConfig) ProtoReflect 

func (x *GenerationConfig) ProtoReflect() protoreflect.Message

func (*GenerationConfig) Reset 

func (x *GenerationConfig) Reset()

func (*GenerationConfig) String 

func (x *GenerationConfig) String() string

type GenerationConfig_RoutingConfig 

type GenerationConfig_RoutingConfig struct {

	// Routing mode.
	//
	// Types that are assignable to RoutingConfig:
	//
	//	*GenerationConfig_RoutingConfig_AutoMode
	//	*GenerationConfig_RoutingConfig_ManualMode
	RoutingConfig isGenerationConfig_RoutingConfig_RoutingConfig `protobuf_oneof:"routing_config"`
	// contains filtered or unexported fields
}

The configuration for routing the request to a specific model.

func (*GenerationConfig_RoutingConfig) Descriptor 

func (*GenerationConfig_RoutingConfig) Descriptor() ([]byte, []int)

Deprecated: Use GenerationConfig_RoutingConfig.ProtoReflect.Descriptor instead.

func (*GenerationConfig_RoutingConfig) GetAutoMode 

func (x *GenerationConfig_RoutingConfig) GetAutoMode() *GenerationConfig_RoutingConfig_AutoRoutingMode

func (*GenerationConfig_RoutingConfig) GetManualMode 

func (x *GenerationConfig_RoutingConfig) GetManualMode() *GenerationConfig_RoutingConfig_ManualRoutingMode

func (*GenerationConfig_RoutingConfig) GetRoutingConfig 

func (m *GenerationConfig_RoutingConfig) GetRoutingConfig() isGenerationConfig_RoutingConfig_RoutingConfig

func (*GenerationConfig_RoutingConfig) ProtoMessage 

func (*GenerationConfig_RoutingConfig) ProtoMessage()

func (*GenerationConfig_RoutingConfig) ProtoReflect 

func (x *GenerationConfig_RoutingConfig) ProtoReflect() protoreflect.Message

func (*GenerationConfig_RoutingConfig) Reset 

func (x *GenerationConfig_RoutingConfig) Reset()

func (*GenerationConfig_RoutingConfig) String 

func (x *GenerationConfig_RoutingConfig) String() string

type GenerationConfig_RoutingConfig_AutoMode 

type GenerationConfig_RoutingConfig_AutoMode struct {
	// Automated routing.
	AutoMode *GenerationConfig_RoutingConfig_AutoRoutingMode `protobuf:"bytes,1,opt,name=auto_mode,json=autoMode,proto3,oneof"`
}

type GenerationConfig_RoutingConfig_AutoRoutingMode 

type GenerationConfig_RoutingConfig_AutoRoutingMode struct {

	// The model routing preference.
	ModelRoutingPreference *GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference `protobuf:"varint,1,opt,name=model_routing_preference,json=modelRoutingPreference,proto3,enum=google.cloud.aiplatform.v1.GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference,oneof" json:"model_routing_preference,omitempty"`
	// contains filtered or unexported fields
}

When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference.

func (*GenerationConfig_RoutingConfig_AutoRoutingMode) Descriptor 

func (*GenerationConfig_RoutingConfig_AutoRoutingMode) Descriptor() ([]byte, []int)

Deprecated: Use GenerationConfig_RoutingConfig_AutoRoutingMode.ProtoReflect.Descriptor instead.

func (*GenerationConfig_RoutingConfig_AutoRoutingMode) GetModelRoutingPreference 

func (x *GenerationConfig_RoutingConfig_AutoRoutingMode) GetModelRoutingPreference() GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference

func (*GenerationConfig_RoutingConfig_AutoRoutingMode) ProtoMessage 

func (*GenerationConfig_RoutingConfig_AutoRoutingMode) ProtoMessage()

func (*GenerationConfig_RoutingConfig_AutoRoutingMode) ProtoReflect 

func (x *GenerationConfig_RoutingConfig_AutoRoutingMode) ProtoReflect() protoreflect.Message

func (*GenerationConfig_RoutingConfig_AutoRoutingMode) Reset 

func (x *GenerationConfig_RoutingConfig_AutoRoutingMode) Reset()

func (*GenerationConfig_RoutingConfig_AutoRoutingMode) String 

func (x *GenerationConfig_RoutingConfig_AutoRoutingMode) String() string

type GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference 

type GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference int32

The model routing preference. 

const (
	// Unspecified model routing preference.
	GenerationConfig_RoutingConfig_AutoRoutingMode_UNKNOWN GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference = 0
	// Prefer higher quality over low cost.
	GenerationConfig_RoutingConfig_AutoRoutingMode_PRIORITIZE_QUALITY GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference = 1
	// Balanced model routing preference.
	GenerationConfig_RoutingConfig_AutoRoutingMode_BALANCED GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference = 2
	// Prefer lower cost over higher quality.
	GenerationConfig_RoutingConfig_AutoRoutingMode_PRIORITIZE_COST GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference = 3
)

func (GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) Descriptor 

func (GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) Descriptor() protoreflect.EnumDescriptor

func (GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) Enum 

func (x GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) Enum() *GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference

func (GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) EnumDescriptor 

func (GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) EnumDescriptor() ([]byte, []int)

Deprecated: Use GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference.Descriptor instead.

func (GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) Number 

func (x GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) Number() protoreflect.EnumNumber

func (GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) String 

func (x GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) String() string

func (GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) Type 

func (GenerationConfig_RoutingConfig_AutoRoutingMode_ModelRoutingPreference) Type() protoreflect.EnumType

type GenerationConfig_RoutingConfig_ManualMode 

type GenerationConfig_RoutingConfig_ManualMode struct {
	// Manual routing.
	ManualMode *GenerationConfig_RoutingConfig_ManualRoutingMode `protobuf:"bytes,2,opt,name=manual_mode,json=manualMode,proto3,oneof"`
}

type GenerationConfig_RoutingConfig_ManualRoutingMode 

type GenerationConfig_RoutingConfig_ManualRoutingMode struct {

	// The model name to use. Only the public LLM models are accepted. e.g.
	// 'gemini-1.5-pro-001'.
	ModelName *string `protobuf:"bytes,1,opt,name=model_name,json=modelName,proto3,oneof" json:"model_name,omitempty"`
	// contains filtered or unexported fields
}

When manual routing is set, the specified model will be used directly.

func (*GenerationConfig_RoutingConfig_ManualRoutingMode) Descriptor 

func (*GenerationConfig_RoutingConfig_ManualRoutingMode) Descriptor() ([]byte, []int)

Deprecated: Use GenerationConfig_RoutingConfig_ManualRoutingMode.ProtoReflect.Descriptor instead.

func (*GenerationConfig_RoutingConfig_ManualRoutingMode) GetModelName 

func (x *GenerationConfig_RoutingConfig_ManualRoutingMode) GetModelName() string

func (*GenerationConfig_RoutingConfig_ManualRoutingMode) ProtoMessage 

func (*GenerationConfig_RoutingConfig_ManualRoutingMode) ProtoMessage()

func (*GenerationConfig_RoutingConfig_ManualRoutingMode) ProtoReflect 

func (x *GenerationConfig_RoutingConfig_ManualRoutingMode) ProtoReflect() protoreflect.Message

func (*GenerationConfig_RoutingConfig_ManualRoutingMode) Reset 

func (x *GenerationConfig_RoutingConfig_ManualRoutingMode) Reset()

func (*GenerationConfig_RoutingConfig_ManualRoutingMode) String 

func (x *GenerationConfig_RoutingConfig_ManualRoutingMode) String() string

type GenericOperationMetadata 

type GenericOperationMetadata struct {

	// Output only. Partial failures encountered.
	// E.g. single files that couldn't be read.
	// This field should never exceed 20 entries.
	// Status details field will contain standard Google Cloud error details.
	PartialFailures []*status.Status `protobuf:"bytes,1,rep,name=partial_failures,json=partialFailures,proto3" json:"partial_failures,omitempty"`
	// Output only. Time when the operation was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the operation was updated for the last time.
	// If the operation has finished (successfully or not), this is the finish
	// time.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// contains filtered or unexported fields
}

Generic Metadata shared by all operations.

func (*GenericOperationMetadata) Descriptor 

func (*GenericOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use GenericOperationMetadata.ProtoReflect.Descriptor instead.

func (*GenericOperationMetadata) GetCreateTime 

func (x *GenericOperationMetadata) GetCreateTime() *timestamppb.Timestamp

func (*GenericOperationMetadata) GetPartialFailures 

func (x *GenericOperationMetadata) GetPartialFailures() []*status.Status

func (*GenericOperationMetadata) GetUpdateTime 

func (x *GenericOperationMetadata) GetUpdateTime() *timestamppb.Timestamp

func (*GenericOperationMetadata) ProtoMessage 

func (*GenericOperationMetadata) ProtoMessage()

func (*GenericOperationMetadata) ProtoReflect 

func (x *GenericOperationMetadata) ProtoReflect() protoreflect.Message

func (*GenericOperationMetadata) Reset 

func (x *GenericOperationMetadata) Reset()

func (*GenericOperationMetadata) String 

func (x *GenericOperationMetadata) String() string

type GenieSource 

type GenieSource struct {

	// Required. The public base model URI.
	BaseModelUri string `protobuf:"bytes,1,opt,name=base_model_uri,json=baseModelUri,proto3" json:"base_model_uri,omitempty"`
	// contains filtered or unexported fields
}

Contains information about the source of the models generated from Generative AI Studio.

func (*GenieSource) Descriptor 

func (*GenieSource) Descriptor() ([]byte, []int)

Deprecated: Use GenieSource.ProtoReflect.Descriptor instead.

func (*GenieSource) GetBaseModelUri 

func (x *GenieSource) GetBaseModelUri() string

func (*GenieSource) ProtoMessage 

func (*GenieSource) ProtoMessage()

func (*GenieSource) ProtoReflect 

func (x *GenieSource) ProtoReflect() protoreflect.Message

func (*GenieSource) Reset 

func (x *GenieSource) Reset()

func (*GenieSource) String 

func (x *GenieSource) String() string

type GetAnnotationSpecRequest 

type GetAnnotationSpecRequest struct {

	// Required. The name of the AnnotationSpec resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].

func (*GetAnnotationSpecRequest) Descriptor 

func (*GetAnnotationSpecRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetAnnotationSpecRequest.ProtoReflect.Descriptor instead.

func (*GetAnnotationSpecRequest) GetName 

func (x *GetAnnotationSpecRequest) GetName() string

func (*GetAnnotationSpecRequest) GetReadMask 

func (x *GetAnnotationSpecRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*GetAnnotationSpecRequest) ProtoMessage 

func (*GetAnnotationSpecRequest) ProtoMessage()

func (*GetAnnotationSpecRequest) ProtoReflect 

func (x *GetAnnotationSpecRequest) ProtoReflect() protoreflect.Message

func (*GetAnnotationSpecRequest) Reset 

func (x *GetAnnotationSpecRequest) Reset()

func (*GetAnnotationSpecRequest) String 

func (x *GetAnnotationSpecRequest) String() string

type GetArtifactRequest 

type GetArtifactRequest struct {

	// Required. The resource name of the Artifact to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].

func (*GetArtifactRequest) Descriptor 

func (*GetArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetArtifactRequest.ProtoReflect.Descriptor instead.

func (*GetArtifactRequest) GetName 

func (x *GetArtifactRequest) GetName() string

func (*GetArtifactRequest) ProtoMessage 

func (*GetArtifactRequest) ProtoMessage()

func (*GetArtifactRequest) ProtoReflect 

func (x *GetArtifactRequest) ProtoReflect() protoreflect.Message

func (*GetArtifactRequest) Reset 

func (x *GetArtifactRequest) Reset()

func (*GetArtifactRequest) String 

func (x *GetArtifactRequest) String() string

type GetBatchPredictionJobRequest 

type GetBatchPredictionJobRequest struct {

	// Required. The name of the BatchPredictionJob resource.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].

func (*GetBatchPredictionJobRequest) Descriptor 

func (*GetBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*GetBatchPredictionJobRequest) GetName 

func (x *GetBatchPredictionJobRequest) GetName() string

func (*GetBatchPredictionJobRequest) ProtoMessage 

func (*GetBatchPredictionJobRequest) ProtoMessage()

func (*GetBatchPredictionJobRequest) ProtoReflect 

func (x *GetBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*GetBatchPredictionJobRequest) Reset 

func (x *GetBatchPredictionJobRequest) Reset()

func (*GetBatchPredictionJobRequest) String 

func (x *GetBatchPredictionJobRequest) String() string

type GetCachedContentRequest 

type GetCachedContentRequest struct {

	// Required. The resource name referring to the cached content
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [GenAiCacheService.GetCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.GetCachedContent].

func (*GetCachedContentRequest) Descriptor 

func (*GetCachedContentRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetCachedContentRequest.ProtoReflect.Descriptor instead.

func (*GetCachedContentRequest) GetName 

func (x *GetCachedContentRequest) GetName() string

func (*GetCachedContentRequest) ProtoMessage 

func (*GetCachedContentRequest) ProtoMessage()

func (*GetCachedContentRequest) ProtoReflect 

func (x *GetCachedContentRequest) ProtoReflect() protoreflect.Message

func (*GetCachedContentRequest) Reset 

func (x *GetCachedContentRequest) Reset()

func (*GetCachedContentRequest) String 

func (x *GetCachedContentRequest) String() string

type GetContextRequest 

type GetContextRequest struct {

	// Required. The resource name of the Context to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].

func (*GetContextRequest) Descriptor 

func (*GetContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetContextRequest.ProtoReflect.Descriptor instead.

func (*GetContextRequest) GetName 

func (x *GetContextRequest) GetName() string

func (*GetContextRequest) ProtoMessage 

func (*GetContextRequest) ProtoMessage()

func (*GetContextRequest) ProtoReflect 

func (x *GetContextRequest) ProtoReflect() protoreflect.Message

func (*GetContextRequest) Reset 

func (x *GetContextRequest) Reset()

func (*GetContextRequest) String 

func (x *GetContextRequest) String() string

type GetCustomJobRequest 

type GetCustomJobRequest struct {

	// Required. The name of the CustomJob resource.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].

func (*GetCustomJobRequest) Descriptor 

func (*GetCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetCustomJobRequest.ProtoReflect.Descriptor instead.

func (*GetCustomJobRequest) GetName 

func (x *GetCustomJobRequest) GetName() string

func (*GetCustomJobRequest) ProtoMessage 

func (*GetCustomJobRequest) ProtoMessage()

func (*GetCustomJobRequest) ProtoReflect 

func (x *GetCustomJobRequest) ProtoReflect() protoreflect.Message

func (*GetCustomJobRequest) Reset 

func (x *GetCustomJobRequest) Reset()

func (*GetCustomJobRequest) String 

func (x *GetCustomJobRequest) String() string

type GetDataLabelingJobRequest 

type GetDataLabelingJobRequest struct {

	// Required. The name of the DataLabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].

func (*GetDataLabelingJobRequest) Descriptor 

func (*GetDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*GetDataLabelingJobRequest) GetName 

func (x *GetDataLabelingJobRequest) GetName() string

func (*GetDataLabelingJobRequest) ProtoMessage 

func (*GetDataLabelingJobRequest) ProtoMessage()

func (*GetDataLabelingJobRequest) ProtoReflect 

func (x *GetDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*GetDataLabelingJobRequest) Reset 

func (x *GetDataLabelingJobRequest) Reset()

func (*GetDataLabelingJobRequest) String 

func (x *GetDataLabelingJobRequest) String() string

type GetDatasetRequest 

type GetDatasetRequest struct {

	// Required. The name of the Dataset resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset]. Next ID: 4

func (*GetDatasetRequest) Descriptor 

func (*GetDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetDatasetRequest.ProtoReflect.Descriptor instead.

func (*GetDatasetRequest) GetName 

func (x *GetDatasetRequest) GetName() string

func (*GetDatasetRequest) GetReadMask 

func (x *GetDatasetRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*GetDatasetRequest) ProtoMessage 

func (*GetDatasetRequest) ProtoMessage()

func (*GetDatasetRequest) ProtoReflect 

func (x *GetDatasetRequest) ProtoReflect() protoreflect.Message

func (*GetDatasetRequest) Reset 

func (x *GetDatasetRequest) Reset()

func (*GetDatasetRequest) String 

func (x *GetDatasetRequest) String() string

type GetDatasetVersionRequest 

type GetDatasetVersionRequest struct {

	// Required. The resource name of the Dataset version to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion]. Next ID: 4

func (*GetDatasetVersionRequest) Descriptor 

func (*GetDatasetVersionRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetDatasetVersionRequest.ProtoReflect.Descriptor instead.

func (*GetDatasetVersionRequest) GetName 

func (x *GetDatasetVersionRequest) GetName() string

func (*GetDatasetVersionRequest) GetReadMask 

func (x *GetDatasetVersionRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*GetDatasetVersionRequest) ProtoMessage 

func (*GetDatasetVersionRequest) ProtoMessage()

func (*GetDatasetVersionRequest) ProtoReflect 

func (x *GetDatasetVersionRequest) ProtoReflect() protoreflect.Message

func (*GetDatasetVersionRequest) Reset 

func (x *GetDatasetVersionRequest) Reset()

func (*GetDatasetVersionRequest) String 

func (x *GetDatasetVersionRequest) String() string

type GetDeploymentResourcePoolRequest 

type GetDeploymentResourcePoolRequest struct {

	// Required. The name of the DeploymentResourcePool to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for GetDeploymentResourcePool method.

func (*GetDeploymentResourcePoolRequest) Descriptor 

func (*GetDeploymentResourcePoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetDeploymentResourcePoolRequest.ProtoReflect.Descriptor instead.

func (*GetDeploymentResourcePoolRequest) GetName 

func (x *GetDeploymentResourcePoolRequest) GetName() string

func (*GetDeploymentResourcePoolRequest) ProtoMessage 

func (*GetDeploymentResourcePoolRequest) ProtoMessage()

func (*GetDeploymentResourcePoolRequest) ProtoReflect 

func (x *GetDeploymentResourcePoolRequest) ProtoReflect() protoreflect.Message

func (*GetDeploymentResourcePoolRequest) Reset 

func (x *GetDeploymentResourcePoolRequest) Reset()

func (*GetDeploymentResourcePoolRequest) String 

func (x *GetDeploymentResourcePoolRequest) String() string

type GetEndpointRequest 

type GetEndpointRequest struct {

	// Required. The name of the Endpoint resource.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]

func (*GetEndpointRequest) Descriptor 

func (*GetEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetEndpointRequest.ProtoReflect.Descriptor instead.

func (*GetEndpointRequest) GetName 

func (x *GetEndpointRequest) GetName() string

func (*GetEndpointRequest) ProtoMessage 

func (*GetEndpointRequest) ProtoMessage()

func (*GetEndpointRequest) ProtoReflect 

func (x *GetEndpointRequest) ProtoReflect() protoreflect.Message

func (*GetEndpointRequest) Reset 

func (x *GetEndpointRequest) Reset()

func (*GetEndpointRequest) String 

func (x *GetEndpointRequest) String() string

type GetEntityTypeRequest 

type GetEntityTypeRequest struct {

	// Required. The name of the EntityType resource.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].

func (*GetEntityTypeRequest) Descriptor 

func (*GetEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*GetEntityTypeRequest) GetName 

func (x *GetEntityTypeRequest) GetName() string

func (*GetEntityTypeRequest) ProtoMessage 

func (*GetEntityTypeRequest) ProtoMessage()

func (*GetEntityTypeRequest) ProtoReflect 

func (x *GetEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*GetEntityTypeRequest) Reset 

func (x *GetEntityTypeRequest) Reset()

func (*GetEntityTypeRequest) String 

func (x *GetEntityTypeRequest) String() string

type GetExecutionRequest 

type GetExecutionRequest struct {

	// Required. The resource name of the Execution to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].

func (*GetExecutionRequest) Descriptor 

func (*GetExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetExecutionRequest.ProtoReflect.Descriptor instead.

func (*GetExecutionRequest) GetName 

func (x *GetExecutionRequest) GetName() string

func (*GetExecutionRequest) ProtoMessage 

func (*GetExecutionRequest) ProtoMessage()

func (*GetExecutionRequest) ProtoReflect 

func (x *GetExecutionRequest) ProtoReflect() protoreflect.Message

func (*GetExecutionRequest) Reset 

func (x *GetExecutionRequest) Reset()

func (*GetExecutionRequest) String 

func (x *GetExecutionRequest) String() string

type GetFeatureGroupRequest 

type GetFeatureGroupRequest struct {

	// Required. The name of the FeatureGroup resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureRegistryService.GetFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeatureGroup].

func (*GetFeatureGroupRequest) Descriptor 

func (*GetFeatureGroupRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeatureGroupRequest.ProtoReflect.Descriptor instead.

func (*GetFeatureGroupRequest) GetName 

func (x *GetFeatureGroupRequest) GetName() string

func (*GetFeatureGroupRequest) ProtoMessage 

func (*GetFeatureGroupRequest) ProtoMessage()

func (*GetFeatureGroupRequest) ProtoReflect 

func (x *GetFeatureGroupRequest) ProtoReflect() protoreflect.Message

func (*GetFeatureGroupRequest) Reset 

func (x *GetFeatureGroupRequest) Reset()

func (*GetFeatureGroupRequest) String 

func (x *GetFeatureGroupRequest) String() string

type GetFeatureOnlineStoreRequest 

type GetFeatureOnlineStoreRequest struct {

	// Required. The name of the FeatureOnlineStore resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore].

func (*GetFeatureOnlineStoreRequest) Descriptor 

func (*GetFeatureOnlineStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeatureOnlineStoreRequest.ProtoReflect.Descriptor instead.

func (*GetFeatureOnlineStoreRequest) GetName 

func (x *GetFeatureOnlineStoreRequest) GetName() string

func (*GetFeatureOnlineStoreRequest) ProtoMessage 

func (*GetFeatureOnlineStoreRequest) ProtoMessage()

func (*GetFeatureOnlineStoreRequest) ProtoReflect 

func (x *GetFeatureOnlineStoreRequest) ProtoReflect() protoreflect.Message

func (*GetFeatureOnlineStoreRequest) Reset 

func (x *GetFeatureOnlineStoreRequest) Reset()

func (*GetFeatureOnlineStoreRequest) String 

func (x *GetFeatureOnlineStoreRequest) String() string

type GetFeatureRequest 

type GetFeatureRequest struct {

	// Required. The name of the Feature resource.
	// Format for entity_type as parent:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	// Format for feature_group as parent:
	// `projects/{project}/locations/{location}/featureGroups/{feature_group}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature]. Request message for [FeatureRegistryService.GetFeature][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeature].

func (*GetFeatureRequest) Descriptor 

func (*GetFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeatureRequest.ProtoReflect.Descriptor instead.

func (*GetFeatureRequest) GetName 

func (x *GetFeatureRequest) GetName() string

func (*GetFeatureRequest) ProtoMessage 

func (*GetFeatureRequest) ProtoMessage()

func (*GetFeatureRequest) ProtoReflect 

func (x *GetFeatureRequest) ProtoReflect() protoreflect.Message

func (*GetFeatureRequest) Reset 

func (x *GetFeatureRequest) Reset()

func (*GetFeatureRequest) String 

func (x *GetFeatureRequest) String() string

type GetFeatureViewRequest 

type GetFeatureViewRequest struct {

	// Required. The name of the FeatureView resource.
	// Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureView].

func (*GetFeatureViewRequest) Descriptor 

func (*GetFeatureViewRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeatureViewRequest.ProtoReflect.Descriptor instead.

func (*GetFeatureViewRequest) GetName 

func (x *GetFeatureViewRequest) GetName() string

func (*GetFeatureViewRequest) ProtoMessage 

func (*GetFeatureViewRequest) ProtoMessage()

func (*GetFeatureViewRequest) ProtoReflect 

func (x *GetFeatureViewRequest) ProtoReflect() protoreflect.Message

func (*GetFeatureViewRequest) Reset 

func (x *GetFeatureViewRequest) Reset()

func (*GetFeatureViewRequest) String 

func (x *GetFeatureViewRequest) String() string

type GetFeatureViewSyncRequest 

type GetFeatureViewSyncRequest struct {

	// Required. The name of the FeatureViewSync resource.
	// Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/{feature_view_sync}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureViewSync].

func (*GetFeatureViewSyncRequest) Descriptor 

func (*GetFeatureViewSyncRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeatureViewSyncRequest.ProtoReflect.Descriptor instead.

func (*GetFeatureViewSyncRequest) GetName 

func (x *GetFeatureViewSyncRequest) GetName() string

func (*GetFeatureViewSyncRequest) ProtoMessage 

func (*GetFeatureViewSyncRequest) ProtoMessage()

func (*GetFeatureViewSyncRequest) ProtoReflect 

func (x *GetFeatureViewSyncRequest) ProtoReflect() protoreflect.Message

func (*GetFeatureViewSyncRequest) Reset 

func (x *GetFeatureViewSyncRequest) Reset()

func (*GetFeatureViewSyncRequest) String 

func (x *GetFeatureViewSyncRequest) String() string

type GetFeaturestoreRequest 

type GetFeaturestoreRequest struct {

	// Required. The name of the Featurestore resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].

func (*GetFeaturestoreRequest) Descriptor 

func (*GetFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*GetFeaturestoreRequest) GetName 

func (x *GetFeaturestoreRequest) GetName() string

func (*GetFeaturestoreRequest) ProtoMessage 

func (*GetFeaturestoreRequest) ProtoMessage()

func (*GetFeaturestoreRequest) ProtoReflect 

func (x *GetFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*GetFeaturestoreRequest) Reset 

func (x *GetFeaturestoreRequest) Reset()

func (*GetFeaturestoreRequest) String 

func (x *GetFeaturestoreRequest) String() string

type GetHyperparameterTuningJobRequest 

type GetHyperparameterTuningJobRequest struct {

	// Required. The name of the HyperparameterTuningJob resource.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].

func (*GetHyperparameterTuningJobRequest) Descriptor 

func (*GetHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*GetHyperparameterTuningJobRequest) GetName 

func (x *GetHyperparameterTuningJobRequest) GetName() string

func (*GetHyperparameterTuningJobRequest) ProtoMessage 

func (*GetHyperparameterTuningJobRequest) ProtoMessage()

func (*GetHyperparameterTuningJobRequest) ProtoReflect 

func (x *GetHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*GetHyperparameterTuningJobRequest) Reset 

func (x *GetHyperparameterTuningJobRequest) Reset()

func (*GetHyperparameterTuningJobRequest) String 

func (x *GetHyperparameterTuningJobRequest) String() string

type GetIndexEndpointRequest 

type GetIndexEndpointRequest struct {

	// Required. The name of the IndexEndpoint resource.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]

func (*GetIndexEndpointRequest) Descriptor 

func (*GetIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*GetIndexEndpointRequest) GetName 

func (x *GetIndexEndpointRequest) GetName() string

func (*GetIndexEndpointRequest) ProtoMessage 

func (*GetIndexEndpointRequest) ProtoMessage()

func (*GetIndexEndpointRequest) ProtoReflect 

func (x *GetIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*GetIndexEndpointRequest) Reset 

func (x *GetIndexEndpointRequest) Reset()

func (*GetIndexEndpointRequest) String 

func (x *GetIndexEndpointRequest) String() string

type GetIndexRequest 

type GetIndexRequest struct {

	// Required. The name of the Index resource.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]

func (*GetIndexRequest) Descriptor 

func (*GetIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetIndexRequest.ProtoReflect.Descriptor instead.

func (*GetIndexRequest) GetName 

func (x *GetIndexRequest) GetName() string

func (*GetIndexRequest) ProtoMessage 

func (*GetIndexRequest) ProtoMessage()

func (*GetIndexRequest) ProtoReflect 

func (x *GetIndexRequest) ProtoReflect() protoreflect.Message

func (*GetIndexRequest) Reset 

func (x *GetIndexRequest) Reset()

func (*GetIndexRequest) String 

func (x *GetIndexRequest) String() string

type GetMetadataSchemaRequest 

type GetMetadataSchemaRequest struct {

	// Required. The resource name of the MetadataSchema to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].

func (*GetMetadataSchemaRequest) Descriptor 

func (*GetMetadataSchemaRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetMetadataSchemaRequest.ProtoReflect.Descriptor instead.

func (*GetMetadataSchemaRequest) GetName 

func (x *GetMetadataSchemaRequest) GetName() string

func (*GetMetadataSchemaRequest) ProtoMessage 

func (*GetMetadataSchemaRequest) ProtoMessage()

func (*GetMetadataSchemaRequest) ProtoReflect 

func (x *GetMetadataSchemaRequest) ProtoReflect() protoreflect.Message

func (*GetMetadataSchemaRequest) Reset 

func (x *GetMetadataSchemaRequest) Reset()

func (*GetMetadataSchemaRequest) String 

func (x *GetMetadataSchemaRequest) String() string

type GetMetadataStoreRequest 

type GetMetadataStoreRequest struct {

	// Required. The resource name of the MetadataStore to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].

func (*GetMetadataStoreRequest) Descriptor 

func (*GetMetadataStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetMetadataStoreRequest.ProtoReflect.Descriptor instead.

func (*GetMetadataStoreRequest) GetName 

func (x *GetMetadataStoreRequest) GetName() string

func (*GetMetadataStoreRequest) ProtoMessage 

func (*GetMetadataStoreRequest) ProtoMessage()

func (*GetMetadataStoreRequest) ProtoReflect 

func (x *GetMetadataStoreRequest) ProtoReflect() protoreflect.Message

func (*GetMetadataStoreRequest) Reset 

func (x *GetMetadataStoreRequest) Reset()

func (*GetMetadataStoreRequest) String 

func (x *GetMetadataStoreRequest) String() string

type GetModelDeploymentMonitoringJobRequest 

type GetModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the ModelDeploymentMonitoringJob.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob].

func (*GetModelDeploymentMonitoringJobRequest) Descriptor 

func (*GetModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*GetModelDeploymentMonitoringJobRequest) GetName 

func (x *GetModelDeploymentMonitoringJobRequest) GetName() string

func (*GetModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*GetModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*GetModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *GetModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*GetModelDeploymentMonitoringJobRequest) Reset 

func (x *GetModelDeploymentMonitoringJobRequest) Reset()

func (*GetModelDeploymentMonitoringJobRequest) String 

func (x *GetModelDeploymentMonitoringJobRequest) String() string

type GetModelEvaluationRequest 

type GetModelEvaluationRequest struct {

	// Required. The name of the ModelEvaluation resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].

func (*GetModelEvaluationRequest) Descriptor 

func (*GetModelEvaluationRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelEvaluationRequest.ProtoReflect.Descriptor instead.

func (*GetModelEvaluationRequest) GetName 

func (x *GetModelEvaluationRequest) GetName() string

func (*GetModelEvaluationRequest) ProtoMessage 

func (*GetModelEvaluationRequest) ProtoMessage()

func (*GetModelEvaluationRequest) ProtoReflect 

func (x *GetModelEvaluationRequest) ProtoReflect() protoreflect.Message

func (*GetModelEvaluationRequest) Reset 

func (x *GetModelEvaluationRequest) Reset()

func (*GetModelEvaluationRequest) String 

func (x *GetModelEvaluationRequest) String() string

type GetModelEvaluationSliceRequest 

type GetModelEvaluationSliceRequest struct {

	// Required. The name of the ModelEvaluationSlice resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].

func (*GetModelEvaluationSliceRequest) Descriptor 

func (*GetModelEvaluationSliceRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelEvaluationSliceRequest.ProtoReflect.Descriptor instead.

func (*GetModelEvaluationSliceRequest) GetName 

func (x *GetModelEvaluationSliceRequest) GetName() string

func (*GetModelEvaluationSliceRequest) ProtoMessage 

func (*GetModelEvaluationSliceRequest) ProtoMessage()

func (*GetModelEvaluationSliceRequest) ProtoReflect 

func (x *GetModelEvaluationSliceRequest) ProtoReflect() protoreflect.Message

func (*GetModelEvaluationSliceRequest) Reset 

func (x *GetModelEvaluationSliceRequest) Reset()

func (*GetModelEvaluationSliceRequest) String 

func (x *GetModelEvaluationSliceRequest) String() string

type GetModelRequest 

type GetModelRequest struct {

	// Required. The name of the Model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	//
	// In order to retrieve a specific version of the model, also provide
	// the version ID or version alias.
	//
	//	Example: `projects/{project}/locations/{location}/models/{model}@2`
	//	           or
	//	         `projects/{project}/locations/{location}/models/{model}@golden`
	//
	// If no version ID or alias is specified, the "default" version will be
	// returned. The "default" version alias is created for the first version of
	// the model, and can be moved to other versions later on. There will be
	// exactly one default version.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].

func (*GetModelRequest) Descriptor 

func (*GetModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelRequest.ProtoReflect.Descriptor instead.

func (*GetModelRequest) GetName 

func (x *GetModelRequest) GetName() string

func (*GetModelRequest) ProtoMessage 

func (*GetModelRequest) ProtoMessage()

func (*GetModelRequest) ProtoReflect 

func (x *GetModelRequest) ProtoReflect() protoreflect.Message

func (*GetModelRequest) Reset 

func (x *GetModelRequest) Reset()

func (*GetModelRequest) String 

func (x *GetModelRequest) String() string

type GetNasJobRequest 

type GetNasJobRequest struct {

	// Required. The name of the NasJob resource.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob].

func (*GetNasJobRequest) Descriptor 

func (*GetNasJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetNasJobRequest.ProtoReflect.Descriptor instead.

func (*GetNasJobRequest) GetName 

func (x *GetNasJobRequest) GetName() string

func (*GetNasJobRequest) ProtoMessage 

func (*GetNasJobRequest) ProtoMessage()

func (*GetNasJobRequest) ProtoReflect 

func (x *GetNasJobRequest) ProtoReflect() protoreflect.Message

func (*GetNasJobRequest) Reset 

func (x *GetNasJobRequest) Reset()

func (*GetNasJobRequest) String 

func (x *GetNasJobRequest) String() string

type GetNasTrialDetailRequest 

type GetNasTrialDetailRequest struct {

	// Required. The name of the NasTrialDetail resource.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetNasTrialDetail][google.cloud.aiplatform.v1.JobService.GetNasTrialDetail].

func (*GetNasTrialDetailRequest) Descriptor 

func (*GetNasTrialDetailRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetNasTrialDetailRequest.ProtoReflect.Descriptor instead.

func (*GetNasTrialDetailRequest) GetName 

func (x *GetNasTrialDetailRequest) GetName() string

func (*GetNasTrialDetailRequest) ProtoMessage 

func (*GetNasTrialDetailRequest) ProtoMessage()

func (*GetNasTrialDetailRequest) ProtoReflect 

func (x *GetNasTrialDetailRequest) ProtoReflect() protoreflect.Message

func (*GetNasTrialDetailRequest) Reset 

func (x *GetNasTrialDetailRequest) Reset()

func (*GetNasTrialDetailRequest) String 

func (x *GetNasTrialDetailRequest) String() string

type GetNotebookExecutionJobRequest 

type GetNotebookExecutionJobRequest struct {

	// Required. The name of the NotebookExecutionJob resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The NotebookExecutionJob view. Defaults to BASIC.
	View NotebookExecutionJobView `protobuf:"varint,6,opt,name=view,proto3,enum=google.cloud.aiplatform.v1.NotebookExecutionJobView" json:"view,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.GetNotebookExecutionJob]

func (*GetNotebookExecutionJobRequest) Descriptor 

func (*GetNotebookExecutionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetNotebookExecutionJobRequest.ProtoReflect.Descriptor instead.

func (*GetNotebookExecutionJobRequest) GetName 

func (x *GetNotebookExecutionJobRequest) GetName() string

func (*GetNotebookExecutionJobRequest) GetView 

func (x *GetNotebookExecutionJobRequest) GetView() NotebookExecutionJobView

func (*GetNotebookExecutionJobRequest) ProtoMessage 

func (*GetNotebookExecutionJobRequest) ProtoMessage()

func (*GetNotebookExecutionJobRequest) ProtoReflect 

func (x *GetNotebookExecutionJobRequest) ProtoReflect() protoreflect.Message

func (*GetNotebookExecutionJobRequest) Reset 

func (x *GetNotebookExecutionJobRequest) Reset()

func (*GetNotebookExecutionJobRequest) String 

func (x *GetNotebookExecutionJobRequest) String() string

type GetNotebookRuntimeRequest 

type GetNotebookRuntimeRequest struct {

	// Required. The name of the NotebookRuntime resource.
	// Instead of checking whether the name is in valid NotebookRuntime resource
	// name format, directly throw NotFound exception if there is no such
	// NotebookRuntime in spanner.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.GetNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntime]

func (*GetNotebookRuntimeRequest) Descriptor 

func (*GetNotebookRuntimeRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetNotebookRuntimeRequest.ProtoReflect.Descriptor instead.

func (*GetNotebookRuntimeRequest) GetName 

func (x *GetNotebookRuntimeRequest) GetName() string

func (*GetNotebookRuntimeRequest) ProtoMessage 

func (*GetNotebookRuntimeRequest) ProtoMessage()

func (*GetNotebookRuntimeRequest) ProtoReflect 

func (x *GetNotebookRuntimeRequest) ProtoReflect() protoreflect.Message

func (*GetNotebookRuntimeRequest) Reset 

func (x *GetNotebookRuntimeRequest) Reset()

func (*GetNotebookRuntimeRequest) String 

func (x *GetNotebookRuntimeRequest) String() string

type GetNotebookRuntimeTemplateRequest 

type GetNotebookRuntimeTemplateRequest struct {

	// Required. The name of the NotebookRuntimeTemplate resource.
	// Format:
	// `projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.GetNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntimeTemplate]

func (*GetNotebookRuntimeTemplateRequest) Descriptor 

func (*GetNotebookRuntimeTemplateRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetNotebookRuntimeTemplateRequest.ProtoReflect.Descriptor instead.

func (*GetNotebookRuntimeTemplateRequest) GetName 

func (x *GetNotebookRuntimeTemplateRequest) GetName() string

func (*GetNotebookRuntimeTemplateRequest) ProtoMessage 

func (*GetNotebookRuntimeTemplateRequest) ProtoMessage()

func (*GetNotebookRuntimeTemplateRequest) ProtoReflect 

func (x *GetNotebookRuntimeTemplateRequest) ProtoReflect() protoreflect.Message

func (*GetNotebookRuntimeTemplateRequest) Reset 

func (x *GetNotebookRuntimeTemplateRequest) Reset()

func (*GetNotebookRuntimeTemplateRequest) String 

func (x *GetNotebookRuntimeTemplateRequest) String() string

type GetPersistentResourceRequest 

type GetPersistentResourceRequest struct {

	// Required. The name of the PersistentResource resource.
	// Format:
	// `projects/{project_id_or_number}/locations/{location_id}/persistentResources/{persistent_resource_id}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PersistentResourceService.GetPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.GetPersistentResource].

func (*GetPersistentResourceRequest) Descriptor 

func (*GetPersistentResourceRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetPersistentResourceRequest.ProtoReflect.Descriptor instead.

func (*GetPersistentResourceRequest) GetName 

func (x *GetPersistentResourceRequest) GetName() string

func (*GetPersistentResourceRequest) ProtoMessage 

func (*GetPersistentResourceRequest) ProtoMessage()

func (*GetPersistentResourceRequest) ProtoReflect 

func (x *GetPersistentResourceRequest) ProtoReflect() protoreflect.Message

func (*GetPersistentResourceRequest) Reset 

func (x *GetPersistentResourceRequest) Reset()

func (*GetPersistentResourceRequest) String 

func (x *GetPersistentResourceRequest) String() string

type GetPipelineJobRequest 

type GetPipelineJobRequest struct {

	// Required. The name of the PipelineJob resource.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].

func (*GetPipelineJobRequest) Descriptor 

func (*GetPipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetPipelineJobRequest.ProtoReflect.Descriptor instead.

func (*GetPipelineJobRequest) GetName 

func (x *GetPipelineJobRequest) GetName() string

func (*GetPipelineJobRequest) ProtoMessage 

func (*GetPipelineJobRequest) ProtoMessage()

func (*GetPipelineJobRequest) ProtoReflect 

func (x *GetPipelineJobRequest) ProtoReflect() protoreflect.Message

func (*GetPipelineJobRequest) Reset 

func (x *GetPipelineJobRequest) Reset()

func (*GetPipelineJobRequest) String 

func (x *GetPipelineJobRequest) String() string

type GetPublisherModelRequest 

type GetPublisherModelRequest struct {

	// Required. The name of the PublisherModel resource.
	// Format:
	// `publishers/{publisher}/models/{publisher_model}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The IETF BCP-47 language code representing the language in which
	// the publisher model's text information should be written in.
	LanguageCode string `protobuf:"bytes,2,opt,name=language_code,json=languageCode,proto3" json:"language_code,omitempty"`
	// Optional. PublisherModel view specifying which fields to read.
	View PublisherModelView `protobuf:"varint,3,opt,name=view,proto3,enum=google.cloud.aiplatform.v1.PublisherModelView" json:"view,omitempty"`
	// Optional. Boolean indicates whether the requested model is a Hugging Face
	// model.
	IsHuggingFaceModel bool `protobuf:"varint,5,opt,name=is_hugging_face_model,json=isHuggingFaceModel,proto3" json:"is_hugging_face_model,omitempty"`
	// Optional. Token used to access Hugging Face gated models.
	HuggingFaceToken string `protobuf:"bytes,6,opt,name=hugging_face_token,json=huggingFaceToken,proto3" json:"hugging_face_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelGardenService.GetPublisherModel][google.cloud.aiplatform.v1.ModelGardenService.GetPublisherModel]

func (*GetPublisherModelRequest) Descriptor 

func (*GetPublisherModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetPublisherModelRequest.ProtoReflect.Descriptor instead.

func (*GetPublisherModelRequest) GetHuggingFaceToken 

func (x *GetPublisherModelRequest) GetHuggingFaceToken() string

func (*GetPublisherModelRequest) GetIsHuggingFaceModel 

func (x *GetPublisherModelRequest) GetIsHuggingFaceModel() bool

func (*GetPublisherModelRequest) GetLanguageCode 

func (x *GetPublisherModelRequest) GetLanguageCode() string

func (*GetPublisherModelRequest) GetName 

func (x *GetPublisherModelRequest) GetName() string

func (*GetPublisherModelRequest) GetView 

func (x *GetPublisherModelRequest) GetView() PublisherModelView

func (*GetPublisherModelRequest) ProtoMessage 

func (*GetPublisherModelRequest) ProtoMessage()

func (*GetPublisherModelRequest) ProtoReflect 

func (x *GetPublisherModelRequest) ProtoReflect() protoreflect.Message

func (*GetPublisherModelRequest) Reset 

func (x *GetPublisherModelRequest) Reset()

func (*GetPublisherModelRequest) String 

func (x *GetPublisherModelRequest) String() string

type GetRagCorpusRequest 

type GetRagCorpusRequest struct {

	// Required. The name of the RagCorpus resource.
	// Format:
	// `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.GetRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.GetRagCorpus]

func (*GetRagCorpusRequest) Descriptor 

func (*GetRagCorpusRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetRagCorpusRequest.ProtoReflect.Descriptor instead.

func (*GetRagCorpusRequest) GetName 

func (x *GetRagCorpusRequest) GetName() string

func (*GetRagCorpusRequest) ProtoMessage 

func (*GetRagCorpusRequest) ProtoMessage()

func (*GetRagCorpusRequest) ProtoReflect 

func (x *GetRagCorpusRequest) ProtoReflect() protoreflect.Message

func (*GetRagCorpusRequest) Reset 

func (x *GetRagCorpusRequest) Reset()

func (*GetRagCorpusRequest) String 

func (x *GetRagCorpusRequest) String() string

type GetRagFileRequest 

type GetRagFileRequest struct {

	// Required. The name of the RagFile resource.
	// Format:
	// `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}/ragFiles/{rag_file}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.GetRagFile][google.cloud.aiplatform.v1.VertexRagDataService.GetRagFile]

func (*GetRagFileRequest) Descriptor 

func (*GetRagFileRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetRagFileRequest.ProtoReflect.Descriptor instead.

func (*GetRagFileRequest) GetName 

func (x *GetRagFileRequest) GetName() string

func (*GetRagFileRequest) ProtoMessage 

func (*GetRagFileRequest) ProtoMessage()

func (*GetRagFileRequest) ProtoReflect 

func (x *GetRagFileRequest) ProtoReflect() protoreflect.Message

func (*GetRagFileRequest) Reset 

func (x *GetRagFileRequest) Reset()

func (*GetRagFileRequest) String 

func (x *GetRagFileRequest) String() string

type GetReasoningEngineRequest 

type GetReasoningEngineRequest struct {

	// Required. The name of the ReasoningEngine resource.
	// Format:
	// `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ReasoningEngineService.GetReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.GetReasoningEngine].

func (*GetReasoningEngineRequest) Descriptor 

func (*GetReasoningEngineRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetReasoningEngineRequest.ProtoReflect.Descriptor instead.

func (*GetReasoningEngineRequest) GetName 

func (x *GetReasoningEngineRequest) GetName() string

func (*GetReasoningEngineRequest) ProtoMessage 

func (*GetReasoningEngineRequest) ProtoMessage()

func (*GetReasoningEngineRequest) ProtoReflect 

func (x *GetReasoningEngineRequest) ProtoReflect() protoreflect.Message

func (*GetReasoningEngineRequest) Reset 

func (x *GetReasoningEngineRequest) Reset()

func (*GetReasoningEngineRequest) String 

func (x *GetReasoningEngineRequest) String() string

type GetScheduleRequest 

type GetScheduleRequest struct {

	// Required. The name of the Schedule resource.
	// Format:
	// `projects/{project}/locations/{location}/schedules/{schedule}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ScheduleService.GetSchedule][google.cloud.aiplatform.v1.ScheduleService.GetSchedule].

func (*GetScheduleRequest) Descriptor 

func (*GetScheduleRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetScheduleRequest.ProtoReflect.Descriptor instead.

func (*GetScheduleRequest) GetName 

func (x *GetScheduleRequest) GetName() string

func (*GetScheduleRequest) ProtoMessage 

func (*GetScheduleRequest) ProtoMessage()

func (*GetScheduleRequest) ProtoReflect 

func (x *GetScheduleRequest) ProtoReflect() protoreflect.Message

func (*GetScheduleRequest) Reset 

func (x *GetScheduleRequest) Reset()

func (*GetScheduleRequest) String 

func (x *GetScheduleRequest) String() string

type GetSpecialistPoolRequest 

type GetSpecialistPoolRequest struct {

	// Required. The name of the SpecialistPool resource.
	// The form is
	// `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].

func (*GetSpecialistPoolRequest) Descriptor 

func (*GetSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*GetSpecialistPoolRequest) GetName 

func (x *GetSpecialistPoolRequest) GetName() string

func (*GetSpecialistPoolRequest) ProtoMessage 

func (*GetSpecialistPoolRequest) ProtoMessage()

func (*GetSpecialistPoolRequest) ProtoReflect 

func (x *GetSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*GetSpecialistPoolRequest) Reset 

func (x *GetSpecialistPoolRequest) Reset()

func (*GetSpecialistPoolRequest) String 

func (x *GetSpecialistPoolRequest) String() string

type GetStudyRequest 

type GetStudyRequest struct {

	// Required. The name of the Study resource.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].

func (*GetStudyRequest) Descriptor 

func (*GetStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetStudyRequest.ProtoReflect.Descriptor instead.

func (*GetStudyRequest) GetName 

func (x *GetStudyRequest) GetName() string

func (*GetStudyRequest) ProtoMessage 

func (*GetStudyRequest) ProtoMessage()

func (*GetStudyRequest) ProtoReflect 

func (x *GetStudyRequest) ProtoReflect() protoreflect.Message

func (*GetStudyRequest) Reset 

func (x *GetStudyRequest) Reset()

func (*GetStudyRequest) String 

func (x *GetStudyRequest) String() string

type GetTensorboardExperimentRequest 

type GetTensorboardExperimentRequest struct {

	// Required. The name of the TensorboardExperiment resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].

func (*GetTensorboardExperimentRequest) Descriptor 

func (*GetTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardExperimentRequest) GetName 

func (x *GetTensorboardExperimentRequest) GetName() string

func (*GetTensorboardExperimentRequest) ProtoMessage 

func (*GetTensorboardExperimentRequest) ProtoMessage()

func (*GetTensorboardExperimentRequest) ProtoReflect 

func (x *GetTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardExperimentRequest) Reset 

func (x *GetTensorboardExperimentRequest) Reset()

func (*GetTensorboardExperimentRequest) String 

func (x *GetTensorboardExperimentRequest) String() string

type GetTensorboardRequest 

type GetTensorboardRequest struct {

	// Required. The name of the Tensorboard resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].

func (*GetTensorboardRequest) Descriptor 

func (*GetTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardRequest) GetName 

func (x *GetTensorboardRequest) GetName() string

func (*GetTensorboardRequest) ProtoMessage 

func (*GetTensorboardRequest) ProtoMessage()

func (*GetTensorboardRequest) ProtoReflect 

func (x *GetTensorboardRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardRequest) Reset 

func (x *GetTensorboardRequest) Reset()

func (*GetTensorboardRequest) String 

func (x *GetTensorboardRequest) String() string

type GetTensorboardRunRequest 

type GetTensorboardRunRequest struct {

	// Required. The name of the TensorboardRun resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].

func (*GetTensorboardRunRequest) Descriptor 

func (*GetTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardRunRequest) GetName 

func (x *GetTensorboardRunRequest) GetName() string

func (*GetTensorboardRunRequest) ProtoMessage 

func (*GetTensorboardRunRequest) ProtoMessage()

func (*GetTensorboardRunRequest) ProtoReflect 

func (x *GetTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardRunRequest) Reset 

func (x *GetTensorboardRunRequest) Reset()

func (*GetTensorboardRunRequest) String 

func (x *GetTensorboardRunRequest) String() string

type GetTensorboardTimeSeriesRequest 

type GetTensorboardTimeSeriesRequest struct {

	// Required. The name of the TensorboardTimeSeries resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].

func (*GetTensorboardTimeSeriesRequest) Descriptor 

func (*GetTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardTimeSeriesRequest) GetName 

func (x *GetTensorboardTimeSeriesRequest) GetName() string

func (*GetTensorboardTimeSeriesRequest) ProtoMessage 

func (*GetTensorboardTimeSeriesRequest) ProtoMessage()

func (*GetTensorboardTimeSeriesRequest) ProtoReflect 

func (x *GetTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardTimeSeriesRequest) Reset 

func (x *GetTensorboardTimeSeriesRequest) Reset()

func (*GetTensorboardTimeSeriesRequest) String 

func (x *GetTensorboardTimeSeriesRequest) String() string

type GetTrainingPipelineRequest 

type GetTrainingPipelineRequest struct {

	// Required. The name of the TrainingPipeline resource.
	// Format:
	// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].

func (*GetTrainingPipelineRequest) Descriptor 

func (*GetTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*GetTrainingPipelineRequest) GetName 

func (x *GetTrainingPipelineRequest) GetName() string

func (*GetTrainingPipelineRequest) ProtoMessage 

func (*GetTrainingPipelineRequest) ProtoMessage()

func (*GetTrainingPipelineRequest) ProtoReflect 

func (x *GetTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*GetTrainingPipelineRequest) Reset 

func (x *GetTrainingPipelineRequest) Reset()

func (*GetTrainingPipelineRequest) String 

func (x *GetTrainingPipelineRequest) String() string

type GetTrialRequest 

type GetTrialRequest struct {

	// Required. The name of the Trial resource.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].

func (*GetTrialRequest) Descriptor 

func (*GetTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTrialRequest.ProtoReflect.Descriptor instead.

func (*GetTrialRequest) GetName 

func (x *GetTrialRequest) GetName() string

func (*GetTrialRequest) ProtoMessage 

func (*GetTrialRequest) ProtoMessage()

func (*GetTrialRequest) ProtoReflect 

func (x *GetTrialRequest) ProtoReflect() protoreflect.Message

func (*GetTrialRequest) Reset 

func (x *GetTrialRequest) Reset()

func (*GetTrialRequest) String 

func (x *GetTrialRequest) String() string

type GetTuningJobRequest 

type GetTuningJobRequest struct {

	// Required. The name of the TuningJob resource. Format:
	// `projects/{project}/locations/{location}/tuningJobs/{tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.GetTuningJob].

func (*GetTuningJobRequest) Descriptor 

func (*GetTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTuningJobRequest.ProtoReflect.Descriptor instead.

func (*GetTuningJobRequest) GetName 

func (x *GetTuningJobRequest) GetName() string

func (*GetTuningJobRequest) ProtoMessage 

func (*GetTuningJobRequest) ProtoMessage()

func (*GetTuningJobRequest) ProtoReflect 

func (x *GetTuningJobRequest) ProtoReflect() protoreflect.Message

func (*GetTuningJobRequest) Reset 

func (x *GetTuningJobRequest) Reset()

func (*GetTuningJobRequest) String 

func (x *GetTuningJobRequest) String() string

type GoogleDriveSource 

type GoogleDriveSource struct {

	// Required. Google Drive resource IDs.
	ResourceIds []*GoogleDriveSource_ResourceId `protobuf:"bytes,1,rep,name=resource_ids,json=resourceIds,proto3" json:"resource_ids,omitempty"`
	// contains filtered or unexported fields
}

The Google Drive location for the input content.

func (*GoogleDriveSource) Descriptor 

func (*GoogleDriveSource) Descriptor() ([]byte, []int)

Deprecated: Use GoogleDriveSource.ProtoReflect.Descriptor instead.

func (*GoogleDriveSource) GetResourceIds 

func (x *GoogleDriveSource) GetResourceIds() []*GoogleDriveSource_ResourceId

func (*GoogleDriveSource) ProtoMessage 

func (*GoogleDriveSource) ProtoMessage()

func (*GoogleDriveSource) ProtoReflect 

func (x *GoogleDriveSource) ProtoReflect() protoreflect.Message

func (*GoogleDriveSource) Reset 

func (x *GoogleDriveSource) Reset()

func (*GoogleDriveSource) String 

func (x *GoogleDriveSource) String() string

type GoogleDriveSource_ResourceId 

type GoogleDriveSource_ResourceId struct {

	// Required. The type of the Google Drive resource.
	ResourceType GoogleDriveSource_ResourceId_ResourceType `protobuf:"varint,1,opt,name=resource_type,json=resourceType,proto3,enum=google.cloud.aiplatform.v1.GoogleDriveSource_ResourceId_ResourceType" json:"resource_type,omitempty"`
	// Required. The ID of the Google Drive resource.
	ResourceId string `protobuf:"bytes,2,opt,name=resource_id,json=resourceId,proto3" json:"resource_id,omitempty"`
	// contains filtered or unexported fields
}

The type and ID of the Google Drive resource.

func (*GoogleDriveSource_ResourceId) Descriptor 

func (*GoogleDriveSource_ResourceId) Descriptor() ([]byte, []int)

Deprecated: Use GoogleDriveSource_ResourceId.ProtoReflect.Descriptor instead.

func (*GoogleDriveSource_ResourceId) GetResourceId 

func (x *GoogleDriveSource_ResourceId) GetResourceId() string

func (*GoogleDriveSource_ResourceId) GetResourceType 

func (x *GoogleDriveSource_ResourceId) GetResourceType() GoogleDriveSource_ResourceId_ResourceType

func (*GoogleDriveSource_ResourceId) ProtoMessage 

func (*GoogleDriveSource_ResourceId) ProtoMessage()

func (*GoogleDriveSource_ResourceId) ProtoReflect 

func (x *GoogleDriveSource_ResourceId) ProtoReflect() protoreflect.Message

func (*GoogleDriveSource_ResourceId) Reset 

func (x *GoogleDriveSource_ResourceId) Reset()

func (*GoogleDriveSource_ResourceId) String 

func (x *GoogleDriveSource_ResourceId) String() string

type GoogleDriveSource_ResourceId_ResourceType 

type GoogleDriveSource_ResourceId_ResourceType int32

The type of the Google Drive resource. 

const (
	// Unspecified resource type.
	GoogleDriveSource_ResourceId_RESOURCE_TYPE_UNSPECIFIED GoogleDriveSource_ResourceId_ResourceType = 0
	// File resource type.
	GoogleDriveSource_ResourceId_RESOURCE_TYPE_FILE GoogleDriveSource_ResourceId_ResourceType = 1
	// Folder resource type.
	GoogleDriveSource_ResourceId_RESOURCE_TYPE_FOLDER GoogleDriveSource_ResourceId_ResourceType = 2
)

func (GoogleDriveSource_ResourceId_ResourceType) Descriptor 

func (GoogleDriveSource_ResourceId_ResourceType) Descriptor() protoreflect.EnumDescriptor

func (GoogleDriveSource_ResourceId_ResourceType) Enum 

func (x GoogleDriveSource_ResourceId_ResourceType) Enum() *GoogleDriveSource_ResourceId_ResourceType

func (GoogleDriveSource_ResourceId_ResourceType) EnumDescriptor 

func (GoogleDriveSource_ResourceId_ResourceType) EnumDescriptor() ([]byte, []int)

Deprecated: Use GoogleDriveSource_ResourceId_ResourceType.Descriptor instead.

func (GoogleDriveSource_ResourceId_ResourceType) Number 

func (x GoogleDriveSource_ResourceId_ResourceType) Number() protoreflect.EnumNumber

func (GoogleDriveSource_ResourceId_ResourceType) String 

func (x GoogleDriveSource_ResourceId_ResourceType) String() string

func (GoogleDriveSource_ResourceId_ResourceType) Type 

func (GoogleDriveSource_ResourceId_ResourceType) Type() protoreflect.EnumType

type GoogleSearchRetrieval 

type GoogleSearchRetrieval struct {

	// Specifies the dynamic retrieval configuration for the given source.
	DynamicRetrievalConfig *DynamicRetrievalConfig `protobuf:"bytes,2,opt,name=dynamic_retrieval_config,json=dynamicRetrievalConfig,proto3" json:"dynamic_retrieval_config,omitempty"`
	// contains filtered or unexported fields
}

Tool to retrieve public web data for grounding, powered by Google.

func (*GoogleSearchRetrieval) Descriptor 

func (*GoogleSearchRetrieval) Descriptor() ([]byte, []int)

Deprecated: Use GoogleSearchRetrieval.ProtoReflect.Descriptor instead.

func (*GoogleSearchRetrieval) GetDynamicRetrievalConfig 

func (x *GoogleSearchRetrieval) GetDynamicRetrievalConfig() *DynamicRetrievalConfig

func (*GoogleSearchRetrieval) ProtoMessage 

func (*GoogleSearchRetrieval) ProtoMessage()

func (*GoogleSearchRetrieval) ProtoReflect 

func (x *GoogleSearchRetrieval) ProtoReflect() protoreflect.Message

func (*GoogleSearchRetrieval) Reset 

func (x *GoogleSearchRetrieval) Reset()

func (*GoogleSearchRetrieval) String 

func (x *GoogleSearchRetrieval) String() string

type GroundednessInput 

type GroundednessInput struct {

	// Required. Spec for groundedness metric.
	MetricSpec *GroundednessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Groundedness instance.
	Instance *GroundednessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for groundedness metric.

func (*GroundednessInput) Descriptor 

func (*GroundednessInput) Descriptor() ([]byte, []int)

Deprecated: Use GroundednessInput.ProtoReflect.Descriptor instead.

func (*GroundednessInput) GetInstance 

func (x *GroundednessInput) GetInstance() *GroundednessInstance

func (*GroundednessInput) GetMetricSpec 

func (x *GroundednessInput) GetMetricSpec() *GroundednessSpec

func (*GroundednessInput) ProtoMessage 

func (*GroundednessInput) ProtoMessage()

func (*GroundednessInput) ProtoReflect 

func (x *GroundednessInput) ProtoReflect() protoreflect.Message

func (*GroundednessInput) Reset 

func (x *GroundednessInput) Reset()

func (*GroundednessInput) String 

func (x *GroundednessInput) String() string

type GroundednessInstance 

type GroundednessInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Background information provided in context used to compare
	// against the prediction.
	Context *string `protobuf:"bytes,2,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// contains filtered or unexported fields
}

Spec for groundedness instance.

func (*GroundednessInstance) Descriptor 

func (*GroundednessInstance) Descriptor() ([]byte, []int)

Deprecated: Use GroundednessInstance.ProtoReflect.Descriptor instead.

func (*GroundednessInstance) GetContext 

func (x *GroundednessInstance) GetContext() string

func (*GroundednessInstance) GetPrediction 

func (x *GroundednessInstance) GetPrediction() string

func (*GroundednessInstance) ProtoMessage 

func (*GroundednessInstance) ProtoMessage()

func (*GroundednessInstance) ProtoReflect 

func (x *GroundednessInstance) ProtoReflect() protoreflect.Message

func (*GroundednessInstance) Reset 

func (x *GroundednessInstance) Reset()

func (*GroundednessInstance) String 

func (x *GroundednessInstance) String() string

type GroundednessResult 

type GroundednessResult struct {

	// Output only. Groundedness score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for groundedness score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for groundedness score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for groundedness result.

func (*GroundednessResult) Descriptor 

func (*GroundednessResult) Descriptor() ([]byte, []int)

Deprecated: Use GroundednessResult.ProtoReflect.Descriptor instead.

func (*GroundednessResult) GetConfidence 

func (x *GroundednessResult) GetConfidence() float32

func (*GroundednessResult) GetExplanation 

func (x *GroundednessResult) GetExplanation() string

func (*GroundednessResult) GetScore 

func (x *GroundednessResult) GetScore() float32

func (*GroundednessResult) ProtoMessage 

func (*GroundednessResult) ProtoMessage()

func (*GroundednessResult) ProtoReflect 

func (x *GroundednessResult) ProtoReflect() protoreflect.Message

func (*GroundednessResult) Reset 

func (x *GroundednessResult) Reset()

func (*GroundednessResult) String 

func (x *GroundednessResult) String() string

type GroundednessSpec 

type GroundednessSpec struct {

	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for groundedness metric.

func (*GroundednessSpec) Descriptor 

func (*GroundednessSpec) Descriptor() ([]byte, []int)

Deprecated: Use GroundednessSpec.ProtoReflect.Descriptor instead.

func (*GroundednessSpec) GetVersion 

func (x *GroundednessSpec) GetVersion() int32

func (*GroundednessSpec) ProtoMessage 

func (*GroundednessSpec) ProtoMessage()

func (*GroundednessSpec) ProtoReflect 

func (x *GroundednessSpec) ProtoReflect() protoreflect.Message

func (*GroundednessSpec) Reset 

func (x *GroundednessSpec) Reset()

func (*GroundednessSpec) String 

func (x *GroundednessSpec) String() string

type GroundingChunk 

type GroundingChunk struct {

	// Chunk type.
	//
	// Types that are assignable to ChunkType:
	//
	//	*GroundingChunk_Web_
	//	*GroundingChunk_RetrievedContext_
	ChunkType isGroundingChunk_ChunkType `protobuf_oneof:"chunk_type"`
	// contains filtered or unexported fields
}

Grounding chunk.

func (*GroundingChunk) Descriptor 

func (*GroundingChunk) Descriptor() ([]byte, []int)

Deprecated: Use GroundingChunk.ProtoReflect.Descriptor instead.

func (*GroundingChunk) GetChunkType 

func (m *GroundingChunk) GetChunkType() isGroundingChunk_ChunkType

func (*GroundingChunk) GetRetrievedContext 

func (x *GroundingChunk) GetRetrievedContext() *GroundingChunk_RetrievedContext

func (*GroundingChunk) GetWeb 

func (x *GroundingChunk) GetWeb() *GroundingChunk_Web

func (*GroundingChunk) ProtoMessage 

func (*GroundingChunk) ProtoMessage()

func (*GroundingChunk) ProtoReflect 

func (x *GroundingChunk) ProtoReflect() protoreflect.Message

func (*GroundingChunk) Reset 

func (x *GroundingChunk) Reset()

func (*GroundingChunk) String 

func (x *GroundingChunk) String() string

type GroundingChunk_RetrievedContext 

type GroundingChunk_RetrievedContext struct {

	// URI reference of the attribution.
	Uri *string `protobuf:"bytes,1,opt,name=uri,proto3,oneof" json:"uri,omitempty"`
	// Title of the attribution.
	Title *string `protobuf:"bytes,2,opt,name=title,proto3,oneof" json:"title,omitempty"`
	// Text of the attribution.
	Text *string `protobuf:"bytes,3,opt,name=text,proto3,oneof" json:"text,omitempty"`
	// contains filtered or unexported fields
}

Chunk from context retrieved by the retrieval tools.

func (*GroundingChunk_RetrievedContext) Descriptor 

func (*GroundingChunk_RetrievedContext) Descriptor() ([]byte, []int)

Deprecated: Use GroundingChunk_RetrievedContext.ProtoReflect.Descriptor instead.

func (*GroundingChunk_RetrievedContext) GetText 

func (x *GroundingChunk_RetrievedContext) GetText() string

func (*GroundingChunk_RetrievedContext) GetTitle 

func (x *GroundingChunk_RetrievedContext) GetTitle() string

func (*GroundingChunk_RetrievedContext) GetUri 

func (x *GroundingChunk_RetrievedContext) GetUri() string

func (*GroundingChunk_RetrievedContext) ProtoMessage 

func (*GroundingChunk_RetrievedContext) ProtoMessage()

func (*GroundingChunk_RetrievedContext) ProtoReflect 

func (x *GroundingChunk_RetrievedContext) ProtoReflect() protoreflect.Message

func (*GroundingChunk_RetrievedContext) Reset 

func (x *GroundingChunk_RetrievedContext) Reset()

func (*GroundingChunk_RetrievedContext) String 

func (x *GroundingChunk_RetrievedContext) String() string

type GroundingChunk_RetrievedContext_ 

type GroundingChunk_RetrievedContext_ struct {
	// Grounding chunk from context retrieved by the retrieval tools.
	RetrievedContext *GroundingChunk_RetrievedContext `protobuf:"bytes,2,opt,name=retrieved_context,json=retrievedContext,proto3,oneof"`
}

type GroundingChunk_Web 

type GroundingChunk_Web struct {

	// URI reference of the chunk.
	Uri *string `protobuf:"bytes,1,opt,name=uri,proto3,oneof" json:"uri,omitempty"`
	// Title of the chunk.
	Title *string `protobuf:"bytes,2,opt,name=title,proto3,oneof" json:"title,omitempty"`
	// contains filtered or unexported fields
}

Chunk from the web.

func (*GroundingChunk_Web) Descriptor 

func (*GroundingChunk_Web) Descriptor() ([]byte, []int)

Deprecated: Use GroundingChunk_Web.ProtoReflect.Descriptor instead.

func (*GroundingChunk_Web) GetTitle 

func (x *GroundingChunk_Web) GetTitle() string

func (*GroundingChunk_Web) GetUri 

func (x *GroundingChunk_Web) GetUri() string

func (*GroundingChunk_Web) ProtoMessage 

func (*GroundingChunk_Web) ProtoMessage()

func (*GroundingChunk_Web) ProtoReflect 

func (x *GroundingChunk_Web) ProtoReflect() protoreflect.Message

func (*GroundingChunk_Web) Reset 

func (x *GroundingChunk_Web) Reset()

func (*GroundingChunk_Web) String 

func (x *GroundingChunk_Web) String() string

type GroundingChunk_Web_ 

type GroundingChunk_Web_ struct {
	// Grounding chunk from the web.
	Web *GroundingChunk_Web `protobuf:"bytes,1,opt,name=web,proto3,oneof"`
}

type GroundingMetadata 

type GroundingMetadata struct {

	// Optional. Web search queries for the following-up web search.
	WebSearchQueries []string `protobuf:"bytes,1,rep,name=web_search_queries,json=webSearchQueries,proto3" json:"web_search_queries,omitempty"`
	// Optional. Google search entry for the following-up web searches.
	SearchEntryPoint *SearchEntryPoint `protobuf:"bytes,4,opt,name=search_entry_point,json=searchEntryPoint,proto3,oneof" json:"search_entry_point,omitempty"`
	// List of supporting references retrieved from specified grounding source.
	GroundingChunks []*GroundingChunk `protobuf:"bytes,5,rep,name=grounding_chunks,json=groundingChunks,proto3" json:"grounding_chunks,omitempty"`
	// Optional. List of grounding support.
	GroundingSupports []*GroundingSupport `protobuf:"bytes,6,rep,name=grounding_supports,json=groundingSupports,proto3" json:"grounding_supports,omitempty"`
	// Optional. Output only. Retrieval metadata.
	RetrievalMetadata *RetrievalMetadata `protobuf:"bytes,7,opt,name=retrieval_metadata,json=retrievalMetadata,proto3,oneof" json:"retrieval_metadata,omitempty"`
	// contains filtered or unexported fields
}

Metadata returned to client when grounding is enabled.

func (*GroundingMetadata) Descriptor 

func (*GroundingMetadata) Descriptor() ([]byte, []int)

Deprecated: Use GroundingMetadata.ProtoReflect.Descriptor instead.

func (*GroundingMetadata) GetGroundingChunks 

func (x *GroundingMetadata) GetGroundingChunks() []*GroundingChunk

func (*GroundingMetadata) GetGroundingSupports 

func (x *GroundingMetadata) GetGroundingSupports() []*GroundingSupport

func (*GroundingMetadata) GetRetrievalMetadata 

func (x *GroundingMetadata) GetRetrievalMetadata() *RetrievalMetadata

func (*GroundingMetadata) GetSearchEntryPoint 

func (x *GroundingMetadata) GetSearchEntryPoint() *SearchEntryPoint

func (*GroundingMetadata) GetWebSearchQueries 

func (x *GroundingMetadata) GetWebSearchQueries() []string

func (*GroundingMetadata) ProtoMessage 

func (*GroundingMetadata) ProtoMessage()

func (*GroundingMetadata) ProtoReflect 

func (x *GroundingMetadata) ProtoReflect() protoreflect.Message

func (*GroundingMetadata) Reset 

func (x *GroundingMetadata) Reset()

func (*GroundingMetadata) String 

func (x *GroundingMetadata) String() string

type GroundingSupport 

type GroundingSupport struct {

	// Segment of the content this support belongs to.
	Segment *Segment `protobuf:"bytes,1,opt,name=segment,proto3,oneof" json:"segment,omitempty"`
	// A list of indices (into 'grounding_chunk') specifying the
	// citations associated with the claim. For instance [1,3,4] means
	// that grounding_chunk[1], grounding_chunk[3],
	// grounding_chunk[4] are the retrieved content attributed to the claim.
	GroundingChunkIndices []int32 `protobuf:"varint,2,rep,packed,name=grounding_chunk_indices,json=groundingChunkIndices,proto3" json:"grounding_chunk_indices,omitempty"`
	// Confidence score of the support references. Ranges from 0 to 1. 1 is the
	// most confident. This list must have the same size as the
	// grounding_chunk_indices.
	ConfidenceScores []float32 `protobuf:"fixed32,3,rep,packed,name=confidence_scores,json=confidenceScores,proto3" json:"confidence_scores,omitempty"`
	// contains filtered or unexported fields
}

Grounding support.

func (*GroundingSupport) Descriptor 

func (*GroundingSupport) Descriptor() ([]byte, []int)

Deprecated: Use GroundingSupport.ProtoReflect.Descriptor instead.

func (*GroundingSupport) GetConfidenceScores 

func (x *GroundingSupport) GetConfidenceScores() []float32

func (*GroundingSupport) GetGroundingChunkIndices 

func (x *GroundingSupport) GetGroundingChunkIndices() []int32

func (*GroundingSupport) GetSegment 

func (x *GroundingSupport) GetSegment() *Segment

func (*GroundingSupport) ProtoMessage 

func (*GroundingSupport) ProtoMessage()

func (*GroundingSupport) ProtoReflect 

func (x *GroundingSupport) ProtoReflect() protoreflect.Message

func (*GroundingSupport) Reset 

func (x *GroundingSupport) Reset()

func (*GroundingSupport) String 

func (x *GroundingSupport) String() string

type HarmCategory 

type HarmCategory int32

Harm categories that will block the content. 

const (
	// The harm category is unspecified.
	HarmCategory_HARM_CATEGORY_UNSPECIFIED HarmCategory = 0
	// The harm category is hate speech.
	HarmCategory_HARM_CATEGORY_HATE_SPEECH HarmCategory = 1
	// The harm category is dangerous content.
	HarmCategory_HARM_CATEGORY_DANGEROUS_CONTENT HarmCategory = 2
	// The harm category is harassment.
	HarmCategory_HARM_CATEGORY_HARASSMENT HarmCategory = 3
	// The harm category is sexually explicit content.
	HarmCategory_HARM_CATEGORY_SEXUALLY_EXPLICIT HarmCategory = 4
	// The harm category is civic integrity.
	HarmCategory_HARM_CATEGORY_CIVIC_INTEGRITY HarmCategory = 5
)

func (HarmCategory) Descriptor 

func (HarmCategory) Descriptor() protoreflect.EnumDescriptor

func (HarmCategory) Enum 

func (x HarmCategory) Enum() *HarmCategory

func (HarmCategory) EnumDescriptor 

func (HarmCategory) EnumDescriptor() ([]byte, []int)

Deprecated: Use HarmCategory.Descriptor instead.

func (HarmCategory) Number 

func (x HarmCategory) Number() protoreflect.EnumNumber

func (HarmCategory) String 

func (x HarmCategory) String() string

func (HarmCategory) Type 

func (HarmCategory) Type() protoreflect.EnumType

type HyperparameterTuningJob 

type HyperparameterTuningJob struct {

	// Output only. Resource name of the HyperparameterTuningJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the HyperparameterTuningJob.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Study configuration of the HyperparameterTuningJob.
	StudySpec *StudySpec `protobuf:"bytes,4,opt,name=study_spec,json=studySpec,proto3" json:"study_spec,omitempty"`
	// Required. The desired total number of Trials.
	MaxTrialCount int32 `protobuf:"varint,5,opt,name=max_trial_count,json=maxTrialCount,proto3" json:"max_trial_count,omitempty"`
	// Required. The desired number of Trials to run in parallel.
	ParallelTrialCount int32 `protobuf:"varint,6,opt,name=parallel_trial_count,json=parallelTrialCount,proto3" json:"parallel_trial_count,omitempty"`
	// The number of failed Trials that need to be seen before failing
	// the HyperparameterTuningJob.
	//
	// If set to 0, Vertex AI decides how many Trials must fail
	// before the whole job fails.
	MaxFailedTrialCount int32 `protobuf:"varint,7,opt,name=max_failed_trial_count,json=maxFailedTrialCount,proto3" json:"max_failed_trial_count,omitempty"`
	// Required. The spec of a trial job. The same spec applies to the CustomJobs
	// created in all the trials.
	TrialJobSpec *CustomJobSpec `protobuf:"bytes,8,opt,name=trial_job_spec,json=trialJobSpec,proto3" json:"trial_job_spec,omitempty"`
	// Output only. Trials of the HyperparameterTuningJob.
	Trials []*Trial `protobuf:"bytes,9,rep,name=trials,proto3" json:"trials,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,10,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
	// Output only. Time when the HyperparameterTuningJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the HyperparameterTuningJob for the first time
	// entered the `JOB_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the HyperparameterTuningJob entered any of the
	// following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
	// `JOB_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the HyperparameterTuningJob was most recently
	// updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Only populated when job's state is JOB_STATE_FAILED or
	// JOB_STATE_CANCELLED.
	Error *status.Status `protobuf:"bytes,15,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize HyperparameterTuningJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,16,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Customer-managed encryption key options for a HyperparameterTuningJob.
	// If this is set, then all resources created by the HyperparameterTuningJob
	// will be encrypted with the provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,17,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,19,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,20,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

func (*HyperparameterTuningJob) Descriptor 

func (*HyperparameterTuningJob) Descriptor() ([]byte, []int)

Deprecated: Use HyperparameterTuningJob.ProtoReflect.Descriptor instead.

func (*HyperparameterTuningJob) GetCreateTime 

func (x *HyperparameterTuningJob) GetCreateTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) GetDisplayName 

func (x *HyperparameterTuningJob) GetDisplayName() string

func (*HyperparameterTuningJob) GetEncryptionSpec 

func (x *HyperparameterTuningJob) GetEncryptionSpec() *EncryptionSpec

func (*HyperparameterTuningJob) GetEndTime 

func (x *HyperparameterTuningJob) GetEndTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) GetError 

func (x *HyperparameterTuningJob) GetError() *status.Status

func (*HyperparameterTuningJob) GetLabels 

func (x *HyperparameterTuningJob) GetLabels() map[string]string

func (*HyperparameterTuningJob) GetMaxFailedTrialCount 

func (x *HyperparameterTuningJob) GetMaxFailedTrialCount() int32

func (*HyperparameterTuningJob) GetMaxTrialCount 

func (x *HyperparameterTuningJob) GetMaxTrialCount() int32

func (*HyperparameterTuningJob) GetName 

func (x *HyperparameterTuningJob) GetName() string

func (*HyperparameterTuningJob) GetParallelTrialCount 

func (x *HyperparameterTuningJob) GetParallelTrialCount() int32

func (*HyperparameterTuningJob) GetSatisfiesPzi 

func (x *HyperparameterTuningJob) GetSatisfiesPzi() bool

func (*HyperparameterTuningJob) GetSatisfiesPzs 

func (x *HyperparameterTuningJob) GetSatisfiesPzs() bool

func (*HyperparameterTuningJob) GetStartTime 

func (x *HyperparameterTuningJob) GetStartTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) GetState 

func (x *HyperparameterTuningJob) GetState() JobState

func (*HyperparameterTuningJob) GetStudySpec 

func (x *HyperparameterTuningJob) GetStudySpec() *StudySpec

func (*HyperparameterTuningJob) GetTrialJobSpec 

func (x *HyperparameterTuningJob) GetTrialJobSpec() *CustomJobSpec

func (*HyperparameterTuningJob) GetTrials 

func (x *HyperparameterTuningJob) GetTrials() []*Trial

func (*HyperparameterTuningJob) GetUpdateTime 

func (x *HyperparameterTuningJob) GetUpdateTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) ProtoMessage 

func (*HyperparameterTuningJob) ProtoMessage()

func (*HyperparameterTuningJob) ProtoReflect 

func (x *HyperparameterTuningJob) ProtoReflect() protoreflect.Message

func (*HyperparameterTuningJob) Reset 

func (x *HyperparameterTuningJob) Reset()

func (*HyperparameterTuningJob) String 

func (x *HyperparameterTuningJob) String() string

type IdMatcher 

type IdMatcher struct {

	// Required. The following are accepted as `ids`:
	//
	//   - A single-element list containing only `*`, which selects all Features
	//     in the target EntityType, or
	//   - A list containing only Feature IDs, which selects only Features with
	//     those IDs in the target EntityType.
	Ids []string `protobuf:"bytes,1,rep,name=ids,proto3" json:"ids,omitempty"`
	// contains filtered or unexported fields
}

Matcher for Features of an EntityType by Feature ID.

func (*IdMatcher) Descriptor 

func (*IdMatcher) Descriptor() ([]byte, []int)

Deprecated: Use IdMatcher.ProtoReflect.Descriptor instead.

func (*IdMatcher) GetIds 

func (x *IdMatcher) GetIds() []string

func (*IdMatcher) ProtoMessage 

func (*IdMatcher) ProtoMessage()

func (*IdMatcher) ProtoReflect 

func (x *IdMatcher) ProtoReflect() protoreflect.Message

func (*IdMatcher) Reset 

func (x *IdMatcher) Reset()

func (*IdMatcher) String 

func (x *IdMatcher) String() string

type ImportDataConfig 

type ImportDataConfig struct {

	// The source of the input.
	//
	// Types that are assignable to Source:
	//
	//	*ImportDataConfig_GcsSource
	Source isImportDataConfig_Source `protobuf_oneof:"source"`
	// Labels that will be applied to newly imported DataItems. If an identical
	// DataItem as one being imported already exists in the Dataset, then these
	// labels will be appended to these of the already existing one, and if labels
	// with identical key is imported before, the old label value will be
	// overwritten. If two DataItems are identical in the same import data
	// operation, the labels will be combined and if key collision happens in this
	// case, one of the values will be picked randomly. Two DataItems are
	// considered identical if their content bytes are identical (e.g. image bytes
	// or pdf bytes).
	// These labels will be overridden by Annotation labels specified inside index
	// file referenced by
	// [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
	// e.g. jsonl file.
	DataItemLabels map[string]string `protobuf:"bytes,2,rep,name=data_item_labels,json=dataItemLabels,proto3" json:"data_item_labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Labels that will be applied to newly imported Annotations. If two
	// Annotations are identical, one of them will be deduped. Two Annotations are
	// considered identical if their
	// [payload][google.cloud.aiplatform.v1.Annotation.payload],
	// [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
	// and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
	// the same. These labels will be overridden by Annotation labels specified
	// inside index file referenced by
	// [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
	// e.g. jsonl file.
	AnnotationLabels map[string]string `protobuf:"bytes,3,rep,name=annotation_labels,json=annotationLabels,proto3" json:"annotation_labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Required. Points to a YAML file stored on Google Cloud Storage describing
	// the import format. Validation will be done against the schema. The schema
	// is defined as an [OpenAPI 3.0.2 Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	ImportSchemaUri string `protobuf:"bytes,4,opt,name=import_schema_uri,json=importSchemaUri,proto3" json:"import_schema_uri,omitempty"`
	// contains filtered or unexported fields
}

Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.

func (*ImportDataConfig) Descriptor 

func (*ImportDataConfig) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataConfig.ProtoReflect.Descriptor instead.

func (*ImportDataConfig) GetAnnotationLabels 

func (x *ImportDataConfig) GetAnnotationLabels() map[string]string

func (*ImportDataConfig) GetDataItemLabels 

func (x *ImportDataConfig) GetDataItemLabels() map[string]string

func (*ImportDataConfig) GetGcsSource 

func (x *ImportDataConfig) GetGcsSource() *GcsSource

func (*ImportDataConfig) GetImportSchemaUri 

func (x *ImportDataConfig) GetImportSchemaUri() string

func (*ImportDataConfig) GetSource 

func (m *ImportDataConfig) GetSource() isImportDataConfig_Source

func (*ImportDataConfig) ProtoMessage 

func (*ImportDataConfig) ProtoMessage()

func (*ImportDataConfig) ProtoReflect 

func (x *ImportDataConfig) ProtoReflect() protoreflect.Message

func (*ImportDataConfig) Reset 

func (x *ImportDataConfig) Reset()

func (*ImportDataConfig) String 

func (x *ImportDataConfig) String() string

type ImportDataConfig_GcsSource 

type ImportDataConfig_GcsSource struct {
	// The Google Cloud Storage location for the input content.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

type ImportDataOperationMetadata 

type ImportDataOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].

func (*ImportDataOperationMetadata) Descriptor 

func (*ImportDataOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataOperationMetadata.ProtoReflect.Descriptor instead.

func (*ImportDataOperationMetadata) GetGenericMetadata 

func (x *ImportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ImportDataOperationMetadata) ProtoMessage 

func (*ImportDataOperationMetadata) ProtoMessage()

func (*ImportDataOperationMetadata) ProtoReflect 

func (x *ImportDataOperationMetadata) ProtoReflect() protoreflect.Message

func (*ImportDataOperationMetadata) Reset 

func (x *ImportDataOperationMetadata) Reset()

func (*ImportDataOperationMetadata) String 

func (x *ImportDataOperationMetadata) String() string

type ImportDataRequest 

type ImportDataRequest struct {

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired input locations. The contents of all input locations
	// will be imported in one batch.
	ImportConfigs []*ImportDataConfig `protobuf:"bytes,2,rep,name=import_configs,json=importConfigs,proto3" json:"import_configs,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].

func (*ImportDataRequest) Descriptor 

func (*ImportDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataRequest.ProtoReflect.Descriptor instead.

func (*ImportDataRequest) GetImportConfigs 

func (x *ImportDataRequest) GetImportConfigs() []*ImportDataConfig

func (*ImportDataRequest) GetName 

func (x *ImportDataRequest) GetName() string

func (*ImportDataRequest) ProtoMessage 

func (*ImportDataRequest) ProtoMessage()

func (*ImportDataRequest) ProtoReflect 

func (x *ImportDataRequest) ProtoReflect() protoreflect.Message

func (*ImportDataRequest) Reset 

func (x *ImportDataRequest) Reset()

func (*ImportDataRequest) String 

func (x *ImportDataRequest) String() string

type ImportDataResponse 

type ImportDataResponse struct {
	// contains filtered or unexported fields
}

Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].

func (*ImportDataResponse) Descriptor 

func (*ImportDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataResponse.ProtoReflect.Descriptor instead.

func (*ImportDataResponse) ProtoMessage 

func (*ImportDataResponse) ProtoMessage()

func (*ImportDataResponse) ProtoReflect 

func (x *ImportDataResponse) ProtoReflect() protoreflect.Message

func (*ImportDataResponse) Reset 

func (x *ImportDataResponse) Reset()

func (*ImportDataResponse) String 

func (x *ImportDataResponse) String() string

type ImportFeatureValuesOperationMetadata 

type ImportFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore import Feature values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Number of entities that have been imported by the operation.
	ImportedEntityCount int64 `protobuf:"varint,2,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`
	// Number of Feature values that have been imported by the operation.
	ImportedFeatureValueCount int64 `protobuf:"varint,3,opt,name=imported_feature_value_count,json=importedFeatureValueCount,proto3" json:"imported_feature_value_count,omitempty"`
	// The source URI from where Feature values are imported.
	SourceUris []string `protobuf:"bytes,4,rep,name=source_uris,json=sourceUris,proto3" json:"source_uris,omitempty"`
	// The number of rows in input source that weren't imported due to either
	// * Not having any featureValues.
	// * Having a null entityId.
	// * Having a null timestamp.
	// * Not being parsable (applicable for CSV sources).
	InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`
	// The number rows that weren't ingested due to having timestamps outside the
	// retention boundary.
	TimestampOutsideRetentionRowsCount int64 `protobuf:"varint,7,opt,name=timestamp_outside_retention_rows_count,json=timestampOutsideRetentionRowsCount,proto3" json:"timestamp_outside_retention_rows_count,omitempty"`
	// List of ImportFeatureValues operations running under a single EntityType
	// that are blocking this operation.
	BlockingOperationIds []int64 `protobuf:"varint,8,rep,packed,name=blocking_operation_ids,json=blockingOperationIds,proto3" json:"blocking_operation_ids,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform import Feature values.

func (*ImportFeatureValuesOperationMetadata) Descriptor 

func (*ImportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesOperationMetadata) GetBlockingOperationIds 

func (x *ImportFeatureValuesOperationMetadata) GetBlockingOperationIds() []int64

func (*ImportFeatureValuesOperationMetadata) GetGenericMetadata 

func (x *ImportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ImportFeatureValuesOperationMetadata) GetImportedEntityCount 

func (x *ImportFeatureValuesOperationMetadata) GetImportedEntityCount() int64

func (*ImportFeatureValuesOperationMetadata) GetImportedFeatureValueCount 

func (x *ImportFeatureValuesOperationMetadata) GetImportedFeatureValueCount() int64

func (*ImportFeatureValuesOperationMetadata) GetInvalidRowCount 

func (x *ImportFeatureValuesOperationMetadata) GetInvalidRowCount() int64

func (*ImportFeatureValuesOperationMetadata) GetSourceUris 

func (x *ImportFeatureValuesOperationMetadata) GetSourceUris() []string

func (*ImportFeatureValuesOperationMetadata) GetTimestampOutsideRetentionRowsCount 

func (x *ImportFeatureValuesOperationMetadata) GetTimestampOutsideRetentionRowsCount() int64

func (*ImportFeatureValuesOperationMetadata) ProtoMessage 

func (*ImportFeatureValuesOperationMetadata) ProtoMessage()

func (*ImportFeatureValuesOperationMetadata) ProtoReflect 

func (x *ImportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesOperationMetadata) Reset 

func (x *ImportFeatureValuesOperationMetadata) Reset()

func (*ImportFeatureValuesOperationMetadata) String 

func (x *ImportFeatureValuesOperationMetadata) String() string

type ImportFeatureValuesRequest 

type ImportFeatureValuesRequest struct {

	// Details about the source data, including the location of the storage and
	// the format.
	//
	// Types that are assignable to Source:
	//
	//	*ImportFeatureValuesRequest_AvroSource
	//	*ImportFeatureValuesRequest_BigquerySource
	//	*ImportFeatureValuesRequest_CsvSource
	Source isImportFeatureValuesRequest_Source `protobuf_oneof:"source"`
	// Source of Feature timestamp for all Feature values of each entity.
	// Timestamps must be millisecond-aligned.
	//
	// Types that are assignable to FeatureTimeSource:
	//
	//	*ImportFeatureValuesRequest_FeatureTimeField
	//	*ImportFeatureValuesRequest_FeatureTime
	FeatureTimeSource isImportFeatureValuesRequest_FeatureTimeSource `protobuf_oneof:"feature_time_source"`
	// Required. The resource name of the EntityType grouping the Features for
	// which values are being imported. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Source column that holds entity IDs. If not provided, entity IDs are
	// extracted from the column named entity_id.
	EntityIdField string `protobuf:"bytes,5,opt,name=entity_id_field,json=entityIdField,proto3" json:"entity_id_field,omitempty"`
	// Required. Specifications defining which Feature values to import from the
	// entity. The request fails if no feature_specs are provided, and having
	// multiple feature_specs for one Feature is not allowed.
	FeatureSpecs []*ImportFeatureValuesRequest_FeatureSpec `protobuf:"bytes,8,rep,name=feature_specs,json=featureSpecs,proto3" json:"feature_specs,omitempty"`
	// If set, data will not be imported for online serving. This
	// is typically used for backfilling, where Feature generation timestamps are
	// not in the timestamp range needed for online serving.
	DisableOnlineServing bool `protobuf:"varint,9,opt,name=disable_online_serving,json=disableOnlineServing,proto3" json:"disable_online_serving,omitempty"`
	// Specifies the number of workers that are used to write data to the
	// Featurestore. Consider the online serving capacity that you require to
	// achieve the desired import throughput without interfering with online
	// serving. The value must be positive, and less than or equal to 100.
	// If not set, defaults to using 1 worker. The low count ensures minimal
	// impact on online serving performance.
	WorkerCount int32 `protobuf:"varint,11,opt,name=worker_count,json=workerCount,proto3" json:"worker_count,omitempty"`
	// If true, API doesn't start ingestion analysis pipeline.
	DisableIngestionAnalysis bool `protobuf:"varint,12,opt,name=disable_ingestion_analysis,json=disableIngestionAnalysis,proto3" json:"disable_ingestion_analysis,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].

func (*ImportFeatureValuesRequest) Descriptor 

func (*ImportFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesRequest) GetAvroSource 

func (x *ImportFeatureValuesRequest) GetAvroSource() *AvroSource

func (*ImportFeatureValuesRequest) GetBigquerySource 

func (x *ImportFeatureValuesRequest) GetBigquerySource() *BigQuerySource

func (*ImportFeatureValuesRequest) GetCsvSource 

func (x *ImportFeatureValuesRequest) GetCsvSource() *CsvSource

func (*ImportFeatureValuesRequest) GetDisableIngestionAnalysis 

func (x *ImportFeatureValuesRequest) GetDisableIngestionAnalysis() bool

func (*ImportFeatureValuesRequest) GetDisableOnlineServing 

func (x *ImportFeatureValuesRequest) GetDisableOnlineServing() bool

func (*ImportFeatureValuesRequest) GetEntityIdField 

func (x *ImportFeatureValuesRequest) GetEntityIdField() string

func (*ImportFeatureValuesRequest) GetEntityType 

func (x *ImportFeatureValuesRequest) GetEntityType() string

func (*ImportFeatureValuesRequest) GetFeatureSpecs 

func (x *ImportFeatureValuesRequest) GetFeatureSpecs() []*ImportFeatureValuesRequest_FeatureSpec

func (*ImportFeatureValuesRequest) GetFeatureTime 

func (x *ImportFeatureValuesRequest) GetFeatureTime() *timestamppb.Timestamp

func (*ImportFeatureValuesRequest) GetFeatureTimeField 

func (x *ImportFeatureValuesRequest) GetFeatureTimeField() string

func (*ImportFeatureValuesRequest) GetFeatureTimeSource 

func (m *ImportFeatureValuesRequest) GetFeatureTimeSource() isImportFeatureValuesRequest_FeatureTimeSource

func (*ImportFeatureValuesRequest) GetSource 

func (m *ImportFeatureValuesRequest) GetSource() isImportFeatureValuesRequest_Source

func (*ImportFeatureValuesRequest) GetWorkerCount 

func (x *ImportFeatureValuesRequest) GetWorkerCount() int32

func (*ImportFeatureValuesRequest) ProtoMessage 

func (*ImportFeatureValuesRequest) ProtoMessage()

func (*ImportFeatureValuesRequest) ProtoReflect 

func (x *ImportFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesRequest) Reset 

func (x *ImportFeatureValuesRequest) Reset()

func (*ImportFeatureValuesRequest) String 

func (x *ImportFeatureValuesRequest) String() string

type ImportFeatureValuesRequest_AvroSource 

type ImportFeatureValuesRequest_AvroSource struct {
	AvroSource *AvroSource `protobuf:"bytes,2,opt,name=avro_source,json=avroSource,proto3,oneof"`
}

type ImportFeatureValuesRequest_BigquerySource 

type ImportFeatureValuesRequest_BigquerySource struct {
	BigquerySource *BigQuerySource `protobuf:"bytes,3,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}

type ImportFeatureValuesRequest_CsvSource 

type ImportFeatureValuesRequest_CsvSource struct {
	CsvSource *CsvSource `protobuf:"bytes,4,opt,name=csv_source,json=csvSource,proto3,oneof"`
}

type ImportFeatureValuesRequest_FeatureSpec 

type ImportFeatureValuesRequest_FeatureSpec struct {

	// Required. ID of the Feature to import values of. This Feature must exist
	// in the target EntityType, or the request will fail.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Source column to get the Feature values from. If not set, uses the column
	// with the same name as the Feature ID.
	SourceField string `protobuf:"bytes,2,opt,name=source_field,json=sourceField,proto3" json:"source_field,omitempty"`
	// contains filtered or unexported fields
}

Defines the Feature value(s) to import.

func (*ImportFeatureValuesRequest_FeatureSpec) Descriptor 

func (*ImportFeatureValuesRequest_FeatureSpec) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesRequest_FeatureSpec.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesRequest_FeatureSpec) GetId 

func (x *ImportFeatureValuesRequest_FeatureSpec) GetId() string

func (*ImportFeatureValuesRequest_FeatureSpec) GetSourceField 

func (x *ImportFeatureValuesRequest_FeatureSpec) GetSourceField() string

func (*ImportFeatureValuesRequest_FeatureSpec) ProtoMessage 

func (*ImportFeatureValuesRequest_FeatureSpec) ProtoMessage()

func (*ImportFeatureValuesRequest_FeatureSpec) ProtoReflect 

func (x *ImportFeatureValuesRequest_FeatureSpec) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesRequest_FeatureSpec) Reset 

func (x *ImportFeatureValuesRequest_FeatureSpec) Reset()

func (*ImportFeatureValuesRequest_FeatureSpec) String 

func (x *ImportFeatureValuesRequest_FeatureSpec) String() string

type ImportFeatureValuesRequest_FeatureTime 

type ImportFeatureValuesRequest_FeatureTime struct {
	// Single Feature timestamp for all entities being imported. The
	// timestamp must not have higher than millisecond precision.
	FeatureTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=feature_time,json=featureTime,proto3,oneof"`
}

type ImportFeatureValuesRequest_FeatureTimeField 

type ImportFeatureValuesRequest_FeatureTimeField struct {
	// Source column that holds the Feature timestamp for all Feature
	// values in each entity.
	FeatureTimeField string `protobuf:"bytes,6,opt,name=feature_time_field,json=featureTimeField,proto3,oneof"`
}

type ImportFeatureValuesResponse 

type ImportFeatureValuesResponse struct {

	// Number of entities that have been imported by the operation.
	ImportedEntityCount int64 `protobuf:"varint,1,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`
	// Number of Feature values that have been imported by the operation.
	ImportedFeatureValueCount int64 `protobuf:"varint,2,opt,name=imported_feature_value_count,json=importedFeatureValueCount,proto3" json:"imported_feature_value_count,omitempty"`
	// The number of rows in input source that weren't imported due to either
	// * Not having any featureValues.
	// * Having a null entityId.
	// * Having a null timestamp.
	// * Not being parsable (applicable for CSV sources).
	InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`
	// The number rows that weren't ingested due to having feature timestamps
	// outside the retention boundary.
	TimestampOutsideRetentionRowsCount int64 `protobuf:"varint,4,opt,name=timestamp_outside_retention_rows_count,json=timestampOutsideRetentionRowsCount,proto3" json:"timestamp_outside_retention_rows_count,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].

func (*ImportFeatureValuesResponse) Descriptor 

func (*ImportFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesResponse) GetImportedEntityCount 

func (x *ImportFeatureValuesResponse) GetImportedEntityCount() int64

func (*ImportFeatureValuesResponse) GetImportedFeatureValueCount 

func (x *ImportFeatureValuesResponse) GetImportedFeatureValueCount() int64

func (*ImportFeatureValuesResponse) GetInvalidRowCount 

func (x *ImportFeatureValuesResponse) GetInvalidRowCount() int64

func (*ImportFeatureValuesResponse) GetTimestampOutsideRetentionRowsCount 

func (x *ImportFeatureValuesResponse) GetTimestampOutsideRetentionRowsCount() int64

func (*ImportFeatureValuesResponse) ProtoMessage 

func (*ImportFeatureValuesResponse) ProtoMessage()

func (*ImportFeatureValuesResponse) ProtoReflect 

func (x *ImportFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesResponse) Reset 

func (x *ImportFeatureValuesResponse) Reset()

func (*ImportFeatureValuesResponse) String 

func (x *ImportFeatureValuesResponse) String() string

type ImportModelEvaluationRequest 

type ImportModelEvaluationRequest struct {

	// Required. The name of the parent model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Model evaluation resource to be imported.
	ModelEvaluation *ModelEvaluation `protobuf:"bytes,2,opt,name=model_evaluation,json=modelEvaluation,proto3" json:"model_evaluation,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]

func (*ImportModelEvaluationRequest) Descriptor 

func (*ImportModelEvaluationRequest) Descriptor() ([]byte, []int)

Deprecated: Use ImportModelEvaluationRequest.ProtoReflect.Descriptor instead.

func (*ImportModelEvaluationRequest) GetModelEvaluation 

func (x *ImportModelEvaluationRequest) GetModelEvaluation() *ModelEvaluation

func (*ImportModelEvaluationRequest) GetParent 

func (x *ImportModelEvaluationRequest) GetParent() string

func (*ImportModelEvaluationRequest) ProtoMessage 

func (*ImportModelEvaluationRequest) ProtoMessage()

func (*ImportModelEvaluationRequest) ProtoReflect 

func (x *ImportModelEvaluationRequest) ProtoReflect() protoreflect.Message

func (*ImportModelEvaluationRequest) Reset 

func (x *ImportModelEvaluationRequest) Reset()

func (*ImportModelEvaluationRequest) String 

func (x *ImportModelEvaluationRequest) String() string

type ImportRagFilesConfig 

type ImportRagFilesConfig struct {

	// The source of the import.
	//
	// Types that are assignable to ImportSource:
	//
	//	*ImportRagFilesConfig_GcsSource
	//	*ImportRagFilesConfig_GoogleDriveSource
	//	*ImportRagFilesConfig_SlackSource
	//	*ImportRagFilesConfig_JiraSource
	//	*ImportRagFilesConfig_SharePointSources
	ImportSource isImportRagFilesConfig_ImportSource `protobuf_oneof:"import_source"`
	// Optional. If provided, all partial failures are written to the sink.
	// Deprecated. Prefer to use the `import_result_sink`.
	//
	// Types that are assignable to PartialFailureSink:
	//
	//	*ImportRagFilesConfig_PartialFailureGcsSink
	//	*ImportRagFilesConfig_PartialFailureBigquerySink
	PartialFailureSink isImportRagFilesConfig_PartialFailureSink `protobuf_oneof:"partial_failure_sink"`
	// Specifies the transformation config for RagFiles.
	RagFileTransformationConfig *RagFileTransformationConfig `protobuf:"bytes,16,opt,name=rag_file_transformation_config,json=ragFileTransformationConfig,proto3" json:"rag_file_transformation_config,omitempty"`
	// Optional. The max number of queries per minute that this job is allowed to
	// make to the embedding model specified on the corpus. This value is specific
	// to this job and not shared across other import jobs. Consult the Quotas
	// page on the project to set an appropriate value here.
	// If unspecified, a default value of 1,000 QPM would be used.
	MaxEmbeddingRequestsPerMin int32 `protobuf:"varint,5,opt,name=max_embedding_requests_per_min,json=maxEmbeddingRequestsPerMin,proto3" json:"max_embedding_requests_per_min,omitempty"`
	// contains filtered or unexported fields
}

Config for importing RagFiles.

func (*ImportRagFilesConfig) Descriptor 

func (*ImportRagFilesConfig) Descriptor() ([]byte, []int)

Deprecated: Use ImportRagFilesConfig.ProtoReflect.Descriptor instead.

func (*ImportRagFilesConfig) GetGcsSource 

func (x *ImportRagFilesConfig) GetGcsSource() *GcsSource

func (*ImportRagFilesConfig) GetGoogleDriveSource 

func (x *ImportRagFilesConfig) GetGoogleDriveSource() *GoogleDriveSource

func (*ImportRagFilesConfig) GetImportSource 

func (m *ImportRagFilesConfig) GetImportSource() isImportRagFilesConfig_ImportSource

func (*ImportRagFilesConfig) GetJiraSource 

func (x *ImportRagFilesConfig) GetJiraSource() *JiraSource

func (*ImportRagFilesConfig) GetMaxEmbeddingRequestsPerMin 

func (x *ImportRagFilesConfig) GetMaxEmbeddingRequestsPerMin() int32

func (*ImportRagFilesConfig) GetPartialFailureBigquerySink 

func (x *ImportRagFilesConfig) GetPartialFailureBigquerySink() *BigQueryDestination

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/vertex_rag_data.proto.

func (*ImportRagFilesConfig) GetPartialFailureGcsSink 

func (x *ImportRagFilesConfig) GetPartialFailureGcsSink() *GcsDestination

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/vertex_rag_data.proto.

func (*ImportRagFilesConfig) GetPartialFailureSink 

func (m *ImportRagFilesConfig) GetPartialFailureSink() isImportRagFilesConfig_PartialFailureSink

func (*ImportRagFilesConfig) GetRagFileTransformationConfig 

func (x *ImportRagFilesConfig) GetRagFileTransformationConfig() *RagFileTransformationConfig

func (*ImportRagFilesConfig) GetSharePointSources 

func (x *ImportRagFilesConfig) GetSharePointSources() *SharePointSources

func (*ImportRagFilesConfig) GetSlackSource 

func (x *ImportRagFilesConfig) GetSlackSource() *SlackSource

func (*ImportRagFilesConfig) ProtoMessage 

func (*ImportRagFilesConfig) ProtoMessage()

func (*ImportRagFilesConfig) ProtoReflect 

func (x *ImportRagFilesConfig) ProtoReflect() protoreflect.Message

func (*ImportRagFilesConfig) Reset 

func (x *ImportRagFilesConfig) Reset()

func (*ImportRagFilesConfig) String 

func (x *ImportRagFilesConfig) String() string

type ImportRagFilesConfig_GcsSource 

type ImportRagFilesConfig_GcsSource struct {
	// Google Cloud Storage location. Supports importing individual files as
	// well as entire Google Cloud Storage directories. Sample formats:
	// - `gs://bucket_name/my_directory/object_name/my_file.txt`
	// - `gs://bucket_name/my_directory`
	GcsSource *GcsSource `protobuf:"bytes,2,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

type ImportRagFilesConfig_GoogleDriveSource 

type ImportRagFilesConfig_GoogleDriveSource struct {
	// Google Drive location. Supports importing individual files as
	// well as Google Drive folders.
	GoogleDriveSource *GoogleDriveSource `protobuf:"bytes,3,opt,name=google_drive_source,json=googleDriveSource,proto3,oneof"`
}

type ImportRagFilesConfig_JiraSource 

type ImportRagFilesConfig_JiraSource struct {
	// Jira queries with their corresponding authentication.
	JiraSource *JiraSource `protobuf:"bytes,7,opt,name=jira_source,json=jiraSource,proto3,oneof"`
}

type ImportRagFilesConfig_PartialFailureBigquerySink 

type ImportRagFilesConfig_PartialFailureBigquerySink struct {
	// The BigQuery destination to write partial failures to. It should be a
	// bigquery table resource name (e.g.
	// "bq://projectId.bqDatasetId.bqTableId"). The dataset must exist. If the
	// table does not exist, it will be created with the expected schema. If the
	// table exists, the schema will be validated and data will be added to this
	// existing table.
	// Deprecated. Prefer to use `import_result_bq_sink`.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/vertex_rag_data.proto.
	PartialFailureBigquerySink *BigQueryDestination `protobuf:"bytes,12,opt,name=partial_failure_bigquery_sink,json=partialFailureBigquerySink,proto3,oneof"`
}

type ImportRagFilesConfig_PartialFailureGcsSink 

type ImportRagFilesConfig_PartialFailureGcsSink struct {
	// The Cloud Storage path to write partial failures to.
	// Deprecated. Prefer to use `import_result_gcs_sink`.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/vertex_rag_data.proto.
	PartialFailureGcsSink *GcsDestination `protobuf:"bytes,11,opt,name=partial_failure_gcs_sink,json=partialFailureGcsSink,proto3,oneof"`
}

type ImportRagFilesConfig_SharePointSources 

type ImportRagFilesConfig_SharePointSources struct {
	// SharePoint sources.
	SharePointSources *SharePointSources `protobuf:"bytes,13,opt,name=share_point_sources,json=sharePointSources,proto3,oneof"`
}

type ImportRagFilesConfig_SlackSource 

type ImportRagFilesConfig_SlackSource struct {
	// Slack channels with their corresponding access tokens.
	SlackSource *SlackSource `protobuf:"bytes,6,opt,name=slack_source,json=slackSource,proto3,oneof"`
}

type ImportRagFilesOperationMetadata 

type ImportRagFilesOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The resource ID of RagCorpus that this operation is executed on.
	RagCorpusId int64 `protobuf:"varint,2,opt,name=rag_corpus_id,json=ragCorpusId,proto3" json:"rag_corpus_id,omitempty"`
	// Output only. The config that was passed in the ImportRagFilesRequest.
	ImportRagFilesConfig *ImportRagFilesConfig `protobuf:"bytes,3,opt,name=import_rag_files_config,json=importRagFilesConfig,proto3" json:"import_rag_files_config,omitempty"`
	// The progress percentage of the operation. Value is in the range [0, 100].
	// This percentage is calculated as follows:
	//
	//	progress_percentage = 100 * (successes + failures + skips) / total
	ProgressPercentage int32 `protobuf:"varint,4,opt,name=progress_percentage,json=progressPercentage,proto3" json:"progress_percentage,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].

func (*ImportRagFilesOperationMetadata) Descriptor 

func (*ImportRagFilesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ImportRagFilesOperationMetadata.ProtoReflect.Descriptor instead.

func (*ImportRagFilesOperationMetadata) GetGenericMetadata 

func (x *ImportRagFilesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ImportRagFilesOperationMetadata) GetImportRagFilesConfig 

func (x *ImportRagFilesOperationMetadata) GetImportRagFilesConfig() *ImportRagFilesConfig

func (*ImportRagFilesOperationMetadata) GetProgressPercentage 

func (x *ImportRagFilesOperationMetadata) GetProgressPercentage() int32

func (*ImportRagFilesOperationMetadata) GetRagCorpusId 

func (x *ImportRagFilesOperationMetadata) GetRagCorpusId() int64

func (*ImportRagFilesOperationMetadata) ProtoMessage 

func (*ImportRagFilesOperationMetadata) ProtoMessage()

func (*ImportRagFilesOperationMetadata) ProtoReflect 

func (x *ImportRagFilesOperationMetadata) ProtoReflect() protoreflect.Message

func (*ImportRagFilesOperationMetadata) Reset 

func (x *ImportRagFilesOperationMetadata) Reset()

func (*ImportRagFilesOperationMetadata) String 

func (x *ImportRagFilesOperationMetadata) String() string

type ImportRagFilesRequest 

type ImportRagFilesRequest struct {

	// Required. The name of the RagCorpus resource into which to import files.
	// Format:
	// `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The config for the RagFiles to be synced and imported into the
	// RagCorpus.
	// [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].
	ImportRagFilesConfig *ImportRagFilesConfig `protobuf:"bytes,2,opt,name=import_rag_files_config,json=importRagFilesConfig,proto3" json:"import_rag_files_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].

func (*ImportRagFilesRequest) Descriptor 

func (*ImportRagFilesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ImportRagFilesRequest.ProtoReflect.Descriptor instead.

func (*ImportRagFilesRequest) GetImportRagFilesConfig 

func (x *ImportRagFilesRequest) GetImportRagFilesConfig() *ImportRagFilesConfig

func (*ImportRagFilesRequest) GetParent 

func (x *ImportRagFilesRequest) GetParent() string

func (*ImportRagFilesRequest) ProtoMessage 

func (*ImportRagFilesRequest) ProtoMessage()

func (*ImportRagFilesRequest) ProtoReflect 

func (x *ImportRagFilesRequest) ProtoReflect() protoreflect.Message

func (*ImportRagFilesRequest) Reset 

func (x *ImportRagFilesRequest) Reset()

func (*ImportRagFilesRequest) String 

func (x *ImportRagFilesRequest) String() string

type ImportRagFilesResponse 

type ImportRagFilesResponse struct {

	// The location into which the partial failures were written.
	//
	// Types that are assignable to PartialFailureSink:
	//
	//	*ImportRagFilesResponse_PartialFailuresGcsPath
	//	*ImportRagFilesResponse_PartialFailuresBigqueryTable
	PartialFailureSink isImportRagFilesResponse_PartialFailureSink `protobuf_oneof:"partial_failure_sink"`
	// The number of RagFiles that had been imported into the RagCorpus.
	ImportedRagFilesCount int64 `protobuf:"varint,1,opt,name=imported_rag_files_count,json=importedRagFilesCount,proto3" json:"imported_rag_files_count,omitempty"`
	// The number of RagFiles that had failed while importing into the RagCorpus.
	FailedRagFilesCount int64 `protobuf:"varint,2,opt,name=failed_rag_files_count,json=failedRagFilesCount,proto3" json:"failed_rag_files_count,omitempty"`
	// The number of RagFiles that was skipped while importing into the RagCorpus.
	SkippedRagFilesCount int64 `protobuf:"varint,3,opt,name=skipped_rag_files_count,json=skippedRagFilesCount,proto3" json:"skipped_rag_files_count,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].

func (*ImportRagFilesResponse) Descriptor 

func (*ImportRagFilesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ImportRagFilesResponse.ProtoReflect.Descriptor instead.

func (*ImportRagFilesResponse) GetFailedRagFilesCount 

func (x *ImportRagFilesResponse) GetFailedRagFilesCount() int64

func (*ImportRagFilesResponse) GetImportedRagFilesCount 

func (x *ImportRagFilesResponse) GetImportedRagFilesCount() int64

func (*ImportRagFilesResponse) GetPartialFailureSink 

func (m *ImportRagFilesResponse) GetPartialFailureSink() isImportRagFilesResponse_PartialFailureSink

func (*ImportRagFilesResponse) GetPartialFailuresBigqueryTable 

func (x *ImportRagFilesResponse) GetPartialFailuresBigqueryTable() string

func (*ImportRagFilesResponse) GetPartialFailuresGcsPath 

func (x *ImportRagFilesResponse) GetPartialFailuresGcsPath() string

func (*ImportRagFilesResponse) GetSkippedRagFilesCount 

func (x *ImportRagFilesResponse) GetSkippedRagFilesCount() int64

func (*ImportRagFilesResponse) ProtoMessage 

func (*ImportRagFilesResponse) ProtoMessage()

func (*ImportRagFilesResponse) ProtoReflect 

func (x *ImportRagFilesResponse) ProtoReflect() protoreflect.Message

func (*ImportRagFilesResponse) Reset 

func (x *ImportRagFilesResponse) Reset()

func (*ImportRagFilesResponse) String 

func (x *ImportRagFilesResponse) String() string

type ImportRagFilesResponse_PartialFailuresBigqueryTable 

type ImportRagFilesResponse_PartialFailuresBigqueryTable struct {
	// The BigQuery table into which the partial failures were written.
	PartialFailuresBigqueryTable string `protobuf:"bytes,5,opt,name=partial_failures_bigquery_table,json=partialFailuresBigqueryTable,proto3,oneof"`
}

type ImportRagFilesResponse_PartialFailuresGcsPath 

type ImportRagFilesResponse_PartialFailuresGcsPath struct {
	// The Google Cloud Storage path into which the partial failures were
	// written.
	PartialFailuresGcsPath string `protobuf:"bytes,4,opt,name=partial_failures_gcs_path,json=partialFailuresGcsPath,proto3,oneof"`
}

type Index 

type Index struct {

	// Output only. The resource name of the Index.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the Index.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the Index.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing
	// additional information about the Index, that is specific to it. Unset if
	// the Index does not have any additional information. The schema is defined
	// as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	MetadataSchemaUri string `protobuf:"bytes,4,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`
	// An additional information about the Index; the schema of the metadata can
	// be found in
	// [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
	Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Output only. The pointers to DeployedIndexes created from this Index.
	// An Index can be only deleted if all its DeployedIndexes had been undeployed
	// first.
	DeployedIndexes []*DeployedIndexRef `protobuf:"bytes,7,rep,name=deployed_indexes,json=deployedIndexes,proto3" json:"deployed_indexes,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Indexes.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,9,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Timestamp when this Index was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Index was most recently updated.
	// This also includes any update to the contents of the Index.
	// Note that Operations working on this Index may have their
	// [Operations.metadata.generic_metadata.update_time]
	// [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
	// after the value of this timestamp, yet that does not mean their results are
	// not already reflected in the Index. Result of any successfully completed
	// Operation on the Index is reflected in it.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Stats of the index resource.
	IndexStats *IndexStats `protobuf:"bytes,14,opt,name=index_stats,json=indexStats,proto3" json:"index_stats,omitempty"`
	// Immutable. The update method to use with this Index. If not set,
	// BATCH_UPDATE will be used by default.
	IndexUpdateMethod Index_IndexUpdateMethod `protobuf:"varint,16,opt,name=index_update_method,json=indexUpdateMethod,proto3,enum=google.cloud.aiplatform.v1.Index_IndexUpdateMethod" json:"index_update_method,omitempty"`
	// Immutable. Customer-managed encryption key spec for an Index. If set, this
	// Index and all sub-resources of this Index will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,17,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,18,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,19,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.

func (*Index) Descriptor 

func (*Index) Descriptor() ([]byte, []int)

Deprecated: Use Index.ProtoReflect.Descriptor instead.

func (*Index) GetCreateTime 

func (x *Index) GetCreateTime() *timestamppb.Timestamp

func (*Index) GetDeployedIndexes 

func (x *Index) GetDeployedIndexes() []*DeployedIndexRef

func (*Index) GetDescription 

func (x *Index) GetDescription() string

func (*Index) GetDisplayName 

func (x *Index) GetDisplayName() string

func (*Index) GetEncryptionSpec 

func (x *Index) GetEncryptionSpec() *EncryptionSpec

func (*Index) GetEtag 

func (x *Index) GetEtag() string

func (*Index) GetIndexStats 

func (x *Index) GetIndexStats() *IndexStats

func (*Index) GetIndexUpdateMethod 

func (x *Index) GetIndexUpdateMethod() Index_IndexUpdateMethod

func (*Index) GetLabels 

func (x *Index) GetLabels() map[string]string

func (*Index) GetMetadata 

func (x *Index) GetMetadata() *structpb.Value

func (*Index) GetMetadataSchemaUri 

func (x *Index) GetMetadataSchemaUri() string

func (*Index) GetName 

func (x *Index) GetName() string

func (*Index) GetSatisfiesPzi 

func (x *Index) GetSatisfiesPzi() bool

func (*Index) GetSatisfiesPzs 

func (x *Index) GetSatisfiesPzs() bool

func (*Index) GetUpdateTime 

func (x *Index) GetUpdateTime() *timestamppb.Timestamp

func (*Index) ProtoMessage 

func (*Index) ProtoMessage()

func (*Index) ProtoReflect 

func (x *Index) ProtoReflect() protoreflect.Message

func (*Index) Reset 

func (x *Index) Reset()

func (*Index) String 

func (x *Index) String() string

type IndexDatapoint 

type IndexDatapoint struct {

	// Required. Unique identifier of the datapoint.
	DatapointId string `protobuf:"bytes,1,opt,name=datapoint_id,json=datapointId,proto3" json:"datapoint_id,omitempty"`
	// Required. Feature embedding vector for dense index. An array of numbers
	// with the length of [NearestNeighborSearchConfig.dimensions].
	FeatureVector []float32 `protobuf:"fixed32,2,rep,packed,name=feature_vector,json=featureVector,proto3" json:"feature_vector,omitempty"`
	// Optional. Feature embedding vector for sparse index.
	SparseEmbedding *IndexDatapoint_SparseEmbedding `protobuf:"bytes,7,opt,name=sparse_embedding,json=sparseEmbedding,proto3" json:"sparse_embedding,omitempty"`
	// Optional. List of Restrict of the datapoint, used to perform "restricted
	// searches" where boolean rule are used to filter the subset of the database
	// eligible for matching. This uses categorical tokens. See:
	// https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
	Restricts []*IndexDatapoint_Restriction `protobuf:"bytes,4,rep,name=restricts,proto3" json:"restricts,omitempty"`
	// Optional. List of Restrict of the datapoint, used to perform "restricted
	// searches" where boolean rule are used to filter the subset of the database
	// eligible for matching. This uses numeric comparisons.
	NumericRestricts []*IndexDatapoint_NumericRestriction `protobuf:"bytes,6,rep,name=numeric_restricts,json=numericRestricts,proto3" json:"numeric_restricts,omitempty"`
	// Optional. CrowdingTag of the datapoint, the number of neighbors to return
	// in each crowding can be configured during query.
	CrowdingTag *IndexDatapoint_CrowdingTag `protobuf:"bytes,5,opt,name=crowding_tag,json=crowdingTag,proto3" json:"crowding_tag,omitempty"`
	// contains filtered or unexported fields
}

A datapoint of Index.

func (*IndexDatapoint) Descriptor 

func (*IndexDatapoint) Descriptor() ([]byte, []int)

Deprecated: Use IndexDatapoint.ProtoReflect.Descriptor instead.

func (*IndexDatapoint) GetCrowdingTag 

func (x *IndexDatapoint) GetCrowdingTag() *IndexDatapoint_CrowdingTag

func (*IndexDatapoint) GetDatapointId 

func (x *IndexDatapoint) GetDatapointId() string

func (*IndexDatapoint) GetFeatureVector 

func (x *IndexDatapoint) GetFeatureVector() []float32

func (*IndexDatapoint) GetNumericRestricts 

func (x *IndexDatapoint) GetNumericRestricts() []*IndexDatapoint_NumericRestriction

func (*IndexDatapoint) GetRestricts 

func (x *IndexDatapoint) GetRestricts() []*IndexDatapoint_Restriction

func (*IndexDatapoint) GetSparseEmbedding 

func (x *IndexDatapoint) GetSparseEmbedding() *IndexDatapoint_SparseEmbedding

func (*IndexDatapoint) ProtoMessage 

func (*IndexDatapoint) ProtoMessage()

func (*IndexDatapoint) ProtoReflect 

func (x *IndexDatapoint) ProtoReflect() protoreflect.Message

func (*IndexDatapoint) Reset 

func (x *IndexDatapoint) Reset()

func (*IndexDatapoint) String 

func (x *IndexDatapoint) String() string

type IndexDatapoint_CrowdingTag 

type IndexDatapoint_CrowdingTag struct {

	// The attribute value used for crowding.  The maximum number of neighbors
	// to return per crowding attribute value
	// (per_crowding_attribute_num_neighbors) is configured per-query. This
	// field is ignored if per_crowding_attribute_num_neighbors is larger than
	// the total number of neighbors to return for a given query.
	CrowdingAttribute string `protobuf:"bytes,1,opt,name=crowding_attribute,json=crowdingAttribute,proto3" json:"crowding_attribute,omitempty"`
	// contains filtered or unexported fields
}

Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

func (*IndexDatapoint_CrowdingTag) Descriptor 

func (*IndexDatapoint_CrowdingTag) Descriptor() ([]byte, []int)

Deprecated: Use IndexDatapoint_CrowdingTag.ProtoReflect.Descriptor instead.

func (*IndexDatapoint_CrowdingTag) GetCrowdingAttribute 

func (x *IndexDatapoint_CrowdingTag) GetCrowdingAttribute() string

func (*IndexDatapoint_CrowdingTag) ProtoMessage 

func (*IndexDatapoint_CrowdingTag) ProtoMessage()

func (*IndexDatapoint_CrowdingTag) ProtoReflect 

func (x *IndexDatapoint_CrowdingTag) ProtoReflect() protoreflect.Message

func (*IndexDatapoint_CrowdingTag) Reset 

func (x *IndexDatapoint_CrowdingTag) Reset()

func (*IndexDatapoint_CrowdingTag) String 

func (x *IndexDatapoint_CrowdingTag) String() string

type IndexDatapoint_NumericRestriction 

type IndexDatapoint_NumericRestriction struct {

	// The type of Value must be consistent for all datapoints with a given
	// namespace name. This is verified at runtime.
	//
	// Types that are assignable to Value:
	//
	//	*IndexDatapoint_NumericRestriction_ValueInt
	//	*IndexDatapoint_NumericRestriction_ValueFloat
	//	*IndexDatapoint_NumericRestriction_ValueDouble
	Value isIndexDatapoint_NumericRestriction_Value `protobuf_oneof:"Value"`
	// The namespace of this restriction. e.g.: cost.
	Namespace string `protobuf:"bytes,1,opt,name=namespace,proto3" json:"namespace,omitempty"`
	// This MUST be specified for queries and must NOT be specified for
	// datapoints.
	Op IndexDatapoint_NumericRestriction_Operator `protobuf:"varint,5,opt,name=op,proto3,enum=google.cloud.aiplatform.v1.IndexDatapoint_NumericRestriction_Operator" json:"op,omitempty"`
	// contains filtered or unexported fields
}

This field allows restricts to be based on numeric comparisons rather than categorical tokens.

func (*IndexDatapoint_NumericRestriction) Descriptor 

func (*IndexDatapoint_NumericRestriction) Descriptor() ([]byte, []int)

Deprecated: Use IndexDatapoint_NumericRestriction.ProtoReflect.Descriptor instead.

func (*IndexDatapoint_NumericRestriction) GetNamespace 

func (x *IndexDatapoint_NumericRestriction) GetNamespace() string

func (*IndexDatapoint_NumericRestriction) GetOp 

func (x *IndexDatapoint_NumericRestriction) GetOp() IndexDatapoint_NumericRestriction_Operator

func (*IndexDatapoint_NumericRestriction) GetValue 

func (m *IndexDatapoint_NumericRestriction) GetValue() isIndexDatapoint_NumericRestriction_Value

func (*IndexDatapoint_NumericRestriction) GetValueDouble 

func (x *IndexDatapoint_NumericRestriction) GetValueDouble() float64

func (*IndexDatapoint_NumericRestriction) GetValueFloat 

func (x *IndexDatapoint_NumericRestriction) GetValueFloat() float32

func (*IndexDatapoint_NumericRestriction) GetValueInt 

func (x *IndexDatapoint_NumericRestriction) GetValueInt() int64

func (*IndexDatapoint_NumericRestriction) ProtoMessage 

func (*IndexDatapoint_NumericRestriction) ProtoMessage()

func (*IndexDatapoint_NumericRestriction) ProtoReflect 

func (x *IndexDatapoint_NumericRestriction) ProtoReflect() protoreflect.Message

func (*IndexDatapoint_NumericRestriction) Reset 

func (x *IndexDatapoint_NumericRestriction) Reset()

func (*IndexDatapoint_NumericRestriction) String 

func (x *IndexDatapoint_NumericRestriction) String() string

type IndexDatapoint_NumericRestriction_Operator 

type IndexDatapoint_NumericRestriction_Operator int32

Which comparison operator to use. Should be specified for queries only; specifying this for a datapoint is an error.

Datapoints for which Operator is true relative to the query's Value field will be allowlisted. 

const (
	// Default value of the enum.
	IndexDatapoint_NumericRestriction_OPERATOR_UNSPECIFIED IndexDatapoint_NumericRestriction_Operator = 0
	// Datapoints are eligible iff their value is < the query's.
	IndexDatapoint_NumericRestriction_LESS IndexDatapoint_NumericRestriction_Operator = 1
	// Datapoints are eligible iff their value is <= the query's.
	IndexDatapoint_NumericRestriction_LESS_EQUAL IndexDatapoint_NumericRestriction_Operator = 2
	// Datapoints are eligible iff their value is == the query's.
	IndexDatapoint_NumericRestriction_EQUAL IndexDatapoint_NumericRestriction_Operator = 3
	// Datapoints are eligible iff their value is >= the query's.
	IndexDatapoint_NumericRestriction_GREATER_EQUAL IndexDatapoint_NumericRestriction_Operator = 4
	// Datapoints are eligible iff their value is > the query's.
	IndexDatapoint_NumericRestriction_GREATER IndexDatapoint_NumericRestriction_Operator = 5
	// Datapoints are eligible iff their value is != the query's.
	IndexDatapoint_NumericRestriction_NOT_EQUAL IndexDatapoint_NumericRestriction_Operator = 6
)

func (IndexDatapoint_NumericRestriction_Operator) Descriptor 

func (IndexDatapoint_NumericRestriction_Operator) Descriptor() protoreflect.EnumDescriptor

func (IndexDatapoint_NumericRestriction_Operator) Enum 

func (x IndexDatapoint_NumericRestriction_Operator) Enum() *IndexDatapoint_NumericRestriction_Operator

func (IndexDatapoint_NumericRestriction_Operator) EnumDescriptor 

func (IndexDatapoint_NumericRestriction_Operator) EnumDescriptor() ([]byte, []int)

Deprecated: Use IndexDatapoint_NumericRestriction_Operator.Descriptor instead.

func (IndexDatapoint_NumericRestriction_Operator) Number 

func (x IndexDatapoint_NumericRestriction_Operator) Number() protoreflect.EnumNumber

func (IndexDatapoint_NumericRestriction_Operator) String 

func (x IndexDatapoint_NumericRestriction_Operator) String() string

func (IndexDatapoint_NumericRestriction_Operator) Type 

func (IndexDatapoint_NumericRestriction_Operator) Type() protoreflect.EnumType

type IndexDatapoint_NumericRestriction_ValueDouble 

type IndexDatapoint_NumericRestriction_ValueDouble struct {
	// Represents 64 bit float.
	ValueDouble float64 `protobuf:"fixed64,4,opt,name=value_double,json=valueDouble,proto3,oneof"`
}

type IndexDatapoint_NumericRestriction_ValueFloat 

type IndexDatapoint_NumericRestriction_ValueFloat struct {
	// Represents 32 bit float.
	ValueFloat float32 `protobuf:"fixed32,3,opt,name=value_float,json=valueFloat,proto3,oneof"`
}

type IndexDatapoint_NumericRestriction_ValueInt 

type IndexDatapoint_NumericRestriction_ValueInt struct {
	// Represents 64 bit integer.
	ValueInt int64 `protobuf:"varint,2,opt,name=value_int,json=valueInt,proto3,oneof"`
}

type IndexDatapoint_Restriction 

type IndexDatapoint_Restriction struct {

	// The namespace of this restriction. e.g.: color.
	Namespace string `protobuf:"bytes,1,opt,name=namespace,proto3" json:"namespace,omitempty"`
	// The attributes to allow in this namespace. e.g.: 'red'
	AllowList []string `protobuf:"bytes,2,rep,name=allow_list,json=allowList,proto3" json:"allow_list,omitempty"`
	// The attributes to deny in this namespace. e.g.: 'blue'
	DenyList []string `protobuf:"bytes,3,rep,name=deny_list,json=denyList,proto3" json:"deny_list,omitempty"`
	// contains filtered or unexported fields
}

Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).

func (*IndexDatapoint_Restriction) Descriptor 

func (*IndexDatapoint_Restriction) Descriptor() ([]byte, []int)

Deprecated: Use IndexDatapoint_Restriction.ProtoReflect.Descriptor instead.

func (*IndexDatapoint_Restriction) GetAllowList 

func (x *IndexDatapoint_Restriction) GetAllowList() []string

func (*IndexDatapoint_Restriction) GetDenyList 

func (x *IndexDatapoint_Restriction) GetDenyList() []string

func (*IndexDatapoint_Restriction) GetNamespace 

func (x *IndexDatapoint_Restriction) GetNamespace() string

func (*IndexDatapoint_Restriction) ProtoMessage 

func (*IndexDatapoint_Restriction) ProtoMessage()

func (*IndexDatapoint_Restriction) ProtoReflect 

func (x *IndexDatapoint_Restriction) ProtoReflect() protoreflect.Message

func (*IndexDatapoint_Restriction) Reset 

func (x *IndexDatapoint_Restriction) Reset()

func (*IndexDatapoint_Restriction) String 

func (x *IndexDatapoint_Restriction) String() string

type IndexDatapoint_SparseEmbedding 

type IndexDatapoint_SparseEmbedding struct {

	// Required. The list of embedding values of the sparse vector.
	Values []float32 `protobuf:"fixed32,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// Required. The list of indexes for the embedding values of the sparse
	// vector.
	Dimensions []int64 `protobuf:"varint,2,rep,packed,name=dimensions,proto3" json:"dimensions,omitempty"`
	// contains filtered or unexported fields
}

Feature embedding vector for sparse index. An array of numbers whose values are located in the specified dimensions.

func (*IndexDatapoint_SparseEmbedding) Descriptor 

func (*IndexDatapoint_SparseEmbedding) Descriptor() ([]byte, []int)

Deprecated: Use IndexDatapoint_SparseEmbedding.ProtoReflect.Descriptor instead.

func (*IndexDatapoint_SparseEmbedding) GetDimensions 

func (x *IndexDatapoint_SparseEmbedding) GetDimensions() []int64

func (*IndexDatapoint_SparseEmbedding) GetValues 

func (x *IndexDatapoint_SparseEmbedding) GetValues() []float32

func (*IndexDatapoint_SparseEmbedding) ProtoMessage 

func (*IndexDatapoint_SparseEmbedding) ProtoMessage()

func (*IndexDatapoint_SparseEmbedding) ProtoReflect 

func (x *IndexDatapoint_SparseEmbedding) ProtoReflect() protoreflect.Message

func (*IndexDatapoint_SparseEmbedding) Reset 

func (x *IndexDatapoint_SparseEmbedding) Reset()

func (*IndexDatapoint_SparseEmbedding) String 

func (x *IndexDatapoint_SparseEmbedding) String() string

type IndexEndpoint 

type IndexEndpoint struct {

	// Output only. The resource name of the IndexEndpoint.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the IndexEndpoint.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the IndexEndpoint.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. The indexes deployed in this endpoint.
	DeployedIndexes []*DeployedIndex `protobuf:"bytes,4,rep,name=deployed_indexes,json=deployedIndexes,proto3" json:"deployed_indexes,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your IndexEndpoints.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,6,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Timestamp when this IndexEndpoint was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this IndexEndpoint was last updated.
	// This timestamp is not updated when the endpoint's DeployedIndexes are
	// updated, e.g. due to updates of the original Indexes they are the
	// deployments of.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. The full name of the Google Compute Engine
	// [network](https://cloud.google.com/compute/docs/networks-and-firewalls#networks)
	// to which the IndexEndpoint should be peered.
	//
	// Private services access must already be configured for the network. If left
	// unspecified, the Endpoint is not peered with any network.
	//
	// [network][google.cloud.aiplatform.v1.IndexEndpoint.network] and
	// [private_service_connect_config][google.cloud.aiplatform.v1.IndexEndpoint.private_service_connect_config]
	// are mutually exclusive.
	//
	// [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
	// `projects/{project}/global/networks/{network}`.
	// Where {project} is a project number, as in '12345', and {network} is
	// network name.
	Network string `protobuf:"bytes,9,opt,name=network,proto3" json:"network,omitempty"`
	// Optional. Deprecated: If true, expose the IndexEndpoint via private service
	// connect.
	//
	// Only one of the fields,
	// [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
	// [enable_private_service_connect][google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect],
	// can be set.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/index_endpoint.proto.
	EnablePrivateServiceConnect bool `protobuf:"varint,10,opt,name=enable_private_service_connect,json=enablePrivateServiceConnect,proto3" json:"enable_private_service_connect,omitempty"`
	// Optional. Configuration for private service connect.
	//
	// [network][google.cloud.aiplatform.v1.IndexEndpoint.network] and
	// [private_service_connect_config][google.cloud.aiplatform.v1.IndexEndpoint.private_service_connect_config]
	// are mutually exclusive.
	PrivateServiceConnectConfig *PrivateServiceConnectConfig `protobuf:"bytes,12,opt,name=private_service_connect_config,json=privateServiceConnectConfig,proto3" json:"private_service_connect_config,omitempty"`
	// Optional. If true, the deployed index will be accessible through public
	// endpoint.
	PublicEndpointEnabled bool `protobuf:"varint,13,opt,name=public_endpoint_enabled,json=publicEndpointEnabled,proto3" json:"public_endpoint_enabled,omitempty"`
	// Output only. If
	// [public_endpoint_enabled][google.cloud.aiplatform.v1.IndexEndpoint.public_endpoint_enabled]
	// is true, this field will be populated with the domain name to use for this
	// index endpoint.
	PublicEndpointDomainName string `protobuf:"bytes,14,opt,name=public_endpoint_domain_name,json=publicEndpointDomainName,proto3" json:"public_endpoint_domain_name,omitempty"`
	// Immutable. Customer-managed encryption key spec for an IndexEndpoint. If
	// set, this IndexEndpoint and all sub-resources of this IndexEndpoint will be
	// secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,15,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,17,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,18,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.

func (*IndexEndpoint) Descriptor 

func (*IndexEndpoint) Descriptor() ([]byte, []int)

Deprecated: Use IndexEndpoint.ProtoReflect.Descriptor instead.

func (*IndexEndpoint) GetCreateTime 

func (x *IndexEndpoint) GetCreateTime() *timestamppb.Timestamp

func (*IndexEndpoint) GetDeployedIndexes 

func (x *IndexEndpoint) GetDeployedIndexes() []*DeployedIndex

func (*IndexEndpoint) GetDescription 

func (x *IndexEndpoint) GetDescription() string

func (*IndexEndpoint) GetDisplayName 

func (x *IndexEndpoint) GetDisplayName() string

func (*IndexEndpoint) GetEnablePrivateServiceConnect 

func (x *IndexEndpoint) GetEnablePrivateServiceConnect() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/index_endpoint.proto.

func (*IndexEndpoint) GetEncryptionSpec 

func (x *IndexEndpoint) GetEncryptionSpec() *EncryptionSpec

func (*IndexEndpoint) GetEtag 

func (x *IndexEndpoint) GetEtag() string

func (*IndexEndpoint) GetLabels 

func (x *IndexEndpoint) GetLabels() map[string]string

func (*IndexEndpoint) GetName 

func (x *IndexEndpoint) GetName() string

func (*IndexEndpoint) GetNetwork 

func (x *IndexEndpoint) GetNetwork() string

func (*IndexEndpoint) GetPrivateServiceConnectConfig 

func (x *IndexEndpoint) GetPrivateServiceConnectConfig() *PrivateServiceConnectConfig

func (*IndexEndpoint) GetPublicEndpointDomainName 

func (x *IndexEndpoint) GetPublicEndpointDomainName() string

func (*IndexEndpoint) GetPublicEndpointEnabled 

func (x *IndexEndpoint) GetPublicEndpointEnabled() bool

func (*IndexEndpoint) GetSatisfiesPzi 

func (x *IndexEndpoint) GetSatisfiesPzi() bool

func (*IndexEndpoint) GetSatisfiesPzs 

func (x *IndexEndpoint) GetSatisfiesPzs() bool

func (*IndexEndpoint) GetUpdateTime 

func (x *IndexEndpoint) GetUpdateTime() *timestamppb.Timestamp

func (*IndexEndpoint) ProtoMessage 

func (*IndexEndpoint) ProtoMessage()

func (*IndexEndpoint) ProtoReflect 

func (x *IndexEndpoint) ProtoReflect() protoreflect.Message

func (*IndexEndpoint) Reset 

func (x *IndexEndpoint) Reset()

func (*IndexEndpoint) String 

func (x *IndexEndpoint) String() string

type IndexEndpointServiceClient 

type IndexEndpointServiceClient interface {
	// Creates an IndexEndpoint.
	CreateIndexEndpoint(ctx context.Context, in *CreateIndexEndpointRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets an IndexEndpoint.
	GetIndexEndpoint(ctx context.Context, in *GetIndexEndpointRequest, opts ...grpc.CallOption) (*IndexEndpoint, error)
	// Lists IndexEndpoints in a Location.
	ListIndexEndpoints(ctx context.Context, in *ListIndexEndpointsRequest, opts ...grpc.CallOption) (*ListIndexEndpointsResponse, error)
	// Updates an IndexEndpoint.
	UpdateIndexEndpoint(ctx context.Context, in *UpdateIndexEndpointRequest, opts ...grpc.CallOption) (*IndexEndpoint, error)
	// Deletes an IndexEndpoint.
	DeleteIndexEndpoint(ctx context.Context, in *DeleteIndexEndpointRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deploys an Index into this IndexEndpoint, creating a DeployedIndex within
	// it.
	// Only non-empty Indexes can be deployed.
	DeployIndex(ctx context.Context, in *DeployIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
	// and freeing all resources it's using.
	UndeployIndex(ctx context.Context, in *UndeployIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Update an existing DeployedIndex under an IndexEndpoint.
	MutateDeployedIndex(ctx context.Context, in *MutateDeployedIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

IndexEndpointServiceClient is the client API for IndexEndpointService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewIndexEndpointServiceClient 

func NewIndexEndpointServiceClient(cc grpc.ClientConnInterface) IndexEndpointServiceClient

type IndexEndpointServiceServer 

type IndexEndpointServiceServer interface {
	// Creates an IndexEndpoint.
	CreateIndexEndpoint(context.Context, *CreateIndexEndpointRequest) (*longrunningpb.Operation, error)
	// Gets an IndexEndpoint.
	GetIndexEndpoint(context.Context, *GetIndexEndpointRequest) (*IndexEndpoint, error)
	// Lists IndexEndpoints in a Location.
	ListIndexEndpoints(context.Context, *ListIndexEndpointsRequest) (*ListIndexEndpointsResponse, error)
	// Updates an IndexEndpoint.
	UpdateIndexEndpoint(context.Context, *UpdateIndexEndpointRequest) (*IndexEndpoint, error)
	// Deletes an IndexEndpoint.
	DeleteIndexEndpoint(context.Context, *DeleteIndexEndpointRequest) (*longrunningpb.Operation, error)
	// Deploys an Index into this IndexEndpoint, creating a DeployedIndex within
	// it.
	// Only non-empty Indexes can be deployed.
	DeployIndex(context.Context, *DeployIndexRequest) (*longrunningpb.Operation, error)
	// Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
	// and freeing all resources it's using.
	UndeployIndex(context.Context, *UndeployIndexRequest) (*longrunningpb.Operation, error)
	// Update an existing DeployedIndex under an IndexEndpoint.
	MutateDeployedIndex(context.Context, *MutateDeployedIndexRequest) (*longrunningpb.Operation, error)
}

IndexEndpointServiceServer is the server API for IndexEndpointService service.

type IndexPrivateEndpoints 

type IndexPrivateEndpoints struct {

	// Output only. The ip address used to send match gRPC requests.
	MatchGrpcAddress string `protobuf:"bytes,1,opt,name=match_grpc_address,json=matchGrpcAddress,proto3" json:"match_grpc_address,omitempty"`
	// Output only. The name of the service attachment resource. Populated if
	// private service connect is enabled.
	ServiceAttachment string `protobuf:"bytes,2,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"`
	// Output only. PscAutomatedEndpoints is populated if private service connect
	// is enabled if PscAutomatedConfig is set.
	PscAutomatedEndpoints []*PscAutomatedEndpoints `protobuf:"bytes,3,rep,name=psc_automated_endpoints,json=pscAutomatedEndpoints,proto3" json:"psc_automated_endpoints,omitempty"`
	// contains filtered or unexported fields
}

IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g. private service access, private service connect). To send request via private service access, use match_grpc_address. To send request via private service connect, use service_attachment.

func (*IndexPrivateEndpoints) Descriptor 

func (*IndexPrivateEndpoints) Descriptor() ([]byte, []int)

Deprecated: Use IndexPrivateEndpoints.ProtoReflect.Descriptor instead.

func (*IndexPrivateEndpoints) GetMatchGrpcAddress 

func (x *IndexPrivateEndpoints) GetMatchGrpcAddress() string

func (*IndexPrivateEndpoints) GetPscAutomatedEndpoints 

func (x *IndexPrivateEndpoints) GetPscAutomatedEndpoints() []*PscAutomatedEndpoints

func (*IndexPrivateEndpoints) GetServiceAttachment 

func (x *IndexPrivateEndpoints) GetServiceAttachment() string

func (*IndexPrivateEndpoints) ProtoMessage 

func (*IndexPrivateEndpoints) ProtoMessage()

func (*IndexPrivateEndpoints) ProtoReflect 

func (x *IndexPrivateEndpoints) ProtoReflect() protoreflect.Message

func (*IndexPrivateEndpoints) Reset 

func (x *IndexPrivateEndpoints) Reset()

func (*IndexPrivateEndpoints) String 

func (x *IndexPrivateEndpoints) String() string

type IndexServiceClient 

type IndexServiceClient interface {
	// Creates an Index.
	CreateIndex(ctx context.Context, in *CreateIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets an Index.
	GetIndex(ctx context.Context, in *GetIndexRequest, opts ...grpc.CallOption) (*Index, error)
	// Lists Indexes in a Location.
	ListIndexes(ctx context.Context, in *ListIndexesRequest, opts ...grpc.CallOption) (*ListIndexesResponse, error)
	// Updates an Index.
	UpdateIndex(ctx context.Context, in *UpdateIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes an Index.
	// An Index can only be deleted when all its
	// [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
	// been undeployed.
	DeleteIndex(ctx context.Context, in *DeleteIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Add/update Datapoints into an Index.
	UpsertDatapoints(ctx context.Context, in *UpsertDatapointsRequest, opts ...grpc.CallOption) (*UpsertDatapointsResponse, error)
	// Remove Datapoints from an Index.
	RemoveDatapoints(ctx context.Context, in *RemoveDatapointsRequest, opts ...grpc.CallOption) (*RemoveDatapointsResponse, error)
}

IndexServiceClient is the client API for IndexService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewIndexServiceClient 

func NewIndexServiceClient(cc grpc.ClientConnInterface) IndexServiceClient

type IndexServiceServer 

type IndexServiceServer interface {
	// Creates an Index.
	CreateIndex(context.Context, *CreateIndexRequest) (*longrunningpb.Operation, error)
	// Gets an Index.
	GetIndex(context.Context, *GetIndexRequest) (*Index, error)
	// Lists Indexes in a Location.
	ListIndexes(context.Context, *ListIndexesRequest) (*ListIndexesResponse, error)
	// Updates an Index.
	UpdateIndex(context.Context, *UpdateIndexRequest) (*longrunningpb.Operation, error)
	// Deletes an Index.
	// An Index can only be deleted when all its
	// [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
	// been undeployed.
	DeleteIndex(context.Context, *DeleteIndexRequest) (*longrunningpb.Operation, error)
	// Add/update Datapoints into an Index.
	UpsertDatapoints(context.Context, *UpsertDatapointsRequest) (*UpsertDatapointsResponse, error)
	// Remove Datapoints from an Index.
	RemoveDatapoints(context.Context, *RemoveDatapointsRequest) (*RemoveDatapointsResponse, error)
}

IndexServiceServer is the server API for IndexService service.

type IndexStats 

type IndexStats struct {

	// Output only. The number of dense vectors in the Index.
	VectorsCount int64 `protobuf:"varint,1,opt,name=vectors_count,json=vectorsCount,proto3" json:"vectors_count,omitempty"`
	// Output only. The number of sparse vectors in the Index.
	SparseVectorsCount int64 `protobuf:"varint,3,opt,name=sparse_vectors_count,json=sparseVectorsCount,proto3" json:"sparse_vectors_count,omitempty"`
	// Output only. The number of shards in the Index.
	ShardsCount int32 `protobuf:"varint,2,opt,name=shards_count,json=shardsCount,proto3" json:"shards_count,omitempty"`
	// contains filtered or unexported fields
}

Stats of the Index.

func (*IndexStats) Descriptor 

func (*IndexStats) Descriptor() ([]byte, []int)

Deprecated: Use IndexStats.ProtoReflect.Descriptor instead.

func (*IndexStats) GetShardsCount 

func (x *IndexStats) GetShardsCount() int32

func (*IndexStats) GetSparseVectorsCount 

func (x *IndexStats) GetSparseVectorsCount() int64

func (*IndexStats) GetVectorsCount 

func (x *IndexStats) GetVectorsCount() int64

func (*IndexStats) ProtoMessage 

func (*IndexStats) ProtoMessage()

func (*IndexStats) ProtoReflect 

func (x *IndexStats) ProtoReflect() protoreflect.Message

func (*IndexStats) Reset 

func (x *IndexStats) Reset()

func (*IndexStats) String 

func (x *IndexStats) String() string

type Index_IndexUpdateMethod 

type Index_IndexUpdateMethod int32

The update method of an Index. 

const (
	// Should not be used.
	Index_INDEX_UPDATE_METHOD_UNSPECIFIED Index_IndexUpdateMethod = 0
	// BatchUpdate: user can call UpdateIndex with files on Cloud Storage of
	// Datapoints to update.
	Index_BATCH_UPDATE Index_IndexUpdateMethod = 1
	// StreamUpdate: user can call UpsertDatapoints/DeleteDatapoints to update
	// the Index and the updates will be applied in corresponding
	// DeployedIndexes in nearly real-time.
	Index_STREAM_UPDATE Index_IndexUpdateMethod = 2
)

func (Index_IndexUpdateMethod) Descriptor 

func (Index_IndexUpdateMethod) Descriptor() protoreflect.EnumDescriptor

func (Index_IndexUpdateMethod) Enum 

func (x Index_IndexUpdateMethod) Enum() *Index_IndexUpdateMethod

func (Index_IndexUpdateMethod) EnumDescriptor 

func (Index_IndexUpdateMethod) EnumDescriptor() ([]byte, []int)

Deprecated: Use Index_IndexUpdateMethod.Descriptor instead.

func (Index_IndexUpdateMethod) Number 

func (x Index_IndexUpdateMethod) Number() protoreflect.EnumNumber

func (Index_IndexUpdateMethod) String 

func (x Index_IndexUpdateMethod) String() string

func (Index_IndexUpdateMethod) Type 

func (Index_IndexUpdateMethod) Type() protoreflect.EnumType

type InputDataConfig 

type InputDataConfig struct {

	// The instructions how the input data should be split between the
	// training, validation and test sets.
	// If no split type is provided, the
	// [fraction_split][google.cloud.aiplatform.v1.InputDataConfig.fraction_split]
	// is used by default.
	//
	// Types that are assignable to Split:
	//
	//	*InputDataConfig_FractionSplit
	//	*InputDataConfig_FilterSplit
	//	*InputDataConfig_PredefinedSplit
	//	*InputDataConfig_TimestampSplit
	//	*InputDataConfig_StratifiedSplit
	Split isInputDataConfig_Split `protobuf_oneof:"split"`
	// Only applicable to Custom and Hyperparameter Tuning TrainingPipelines.
	//
	// The destination of the training data to be written to.
	//
	// Supported destination file formats:
	//   - For non-tabular data: "jsonl".
	//   - For tabular data: "csv" and "bigquery".
	//
	// The following Vertex AI environment variables are passed to containers
	// or python modules of the training task when this field is set:
	//
	// * AIP_DATA_FORMAT : Exported data format.
	// * AIP_TRAINING_DATA_URI : Sharded exported training data uris.
	// * AIP_VALIDATION_DATA_URI : Sharded exported validation data uris.
	// * AIP_TEST_DATA_URI : Sharded exported test data uris.
	//
	// Types that are assignable to Destination:
	//
	//	*InputDataConfig_GcsDestination
	//	*InputDataConfig_BigqueryDestination
	Destination isInputDataConfig_Destination `protobuf_oneof:"destination"`
	// Required. The ID of the Dataset in the same Project and Location which data
	// will be used to train the Model. The Dataset must use schema compatible
	// with Model being trained, and what is compatible should be described in the
	// used TrainingPipeline's [training_task_definition]
	// [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
	// For tabular Datasets, all their data is exported to training, to pick
	// and choose from.
	DatasetId string `protobuf:"bytes,1,opt,name=dataset_id,json=datasetId,proto3" json:"dataset_id,omitempty"`
	// Applicable only to Datasets that have DataItems and Annotations.
	//
	// A filter on Annotations of the Dataset. Only Annotations that both
	// match this filter and belong to DataItems not ignored by the split method
	// are used in respectively training, validation or test role, depending on
	// the role of the DataItem they are on (for the auto-assigned that role is
	// decided by Vertex AI). A filter with same syntax as the one used in
	// [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
	// may be used, but note here it filters across all Annotations of the
	// Dataset, and not just within a single DataItem.
	AnnotationsFilter string `protobuf:"bytes,6,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
	// Applicable only to custom training with Datasets that have DataItems and
	// Annotations.
	//
	// Cloud Storage URI that points to a YAML file describing the annotation
	// schema. The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// The schema files that can be used here are found in
	// gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
	// chosen schema must be consistent with
	// [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
	// Dataset specified by
	// [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
	//
	// Only Annotations that both match this schema and belong to DataItems not
	// ignored by the split method are used in respectively training, validation
	// or test role, depending on the role of the DataItem they are on.
	//
	// When used in conjunction with
	// [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
	// the Annotations used for training are filtered by both
	// [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
	// and
	// [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
	AnnotationSchemaUri string `protobuf:"bytes,9,opt,name=annotation_schema_uri,json=annotationSchemaUri,proto3" json:"annotation_schema_uri,omitempty"`
	// Only applicable to Datasets that have SavedQueries.
	//
	// The ID of a SavedQuery (annotation set) under the Dataset specified by
	// [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
	// for filtering Annotations for training.
	//
	// Only Annotations that are associated with this SavedQuery are used in
	// respectively training. When used in conjunction with
	// [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
	// the Annotations used for training are filtered by both
	// [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
	// and
	// [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
	//
	// Only one of
	// [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
	// and
	// [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
	// should be specified as both of them represent the same thing: problem type.
	SavedQueryId string `protobuf:"bytes,7,opt,name=saved_query_id,json=savedQueryId,proto3" json:"saved_query_id,omitempty"`
	// Whether to persist the ML use assignment to data item system labels.
	PersistMlUseAssignment bool `protobuf:"varint,11,opt,name=persist_ml_use_assignment,json=persistMlUseAssignment,proto3" json:"persist_ml_use_assignment,omitempty"`
	// contains filtered or unexported fields
}

Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.

func (*InputDataConfig) Descriptor 

func (*InputDataConfig) Descriptor() ([]byte, []int)

Deprecated: Use InputDataConfig.ProtoReflect.Descriptor instead.

func (*InputDataConfig) GetAnnotationSchemaUri 

func (x *InputDataConfig) GetAnnotationSchemaUri() string

func (*InputDataConfig) GetAnnotationsFilter 

func (x *InputDataConfig) GetAnnotationsFilter() string

func (*InputDataConfig) GetBigqueryDestination 

func (x *InputDataConfig) GetBigqueryDestination() *BigQueryDestination

func (*InputDataConfig) GetDatasetId 

func (x *InputDataConfig) GetDatasetId() string

func (*InputDataConfig) GetDestination 

func (m *InputDataConfig) GetDestination() isInputDataConfig_Destination

func (*InputDataConfig) GetFilterSplit 

func (x *InputDataConfig) GetFilterSplit() *FilterSplit

func (*InputDataConfig) GetFractionSplit 

func (x *InputDataConfig) GetFractionSplit() *FractionSplit

func (*InputDataConfig) GetGcsDestination 

func (x *InputDataConfig) GetGcsDestination() *GcsDestination

func (*InputDataConfig) GetPersistMlUseAssignment 

func (x *InputDataConfig) GetPersistMlUseAssignment() bool

func (*InputDataConfig) GetPredefinedSplit 

func (x *InputDataConfig) GetPredefinedSplit() *PredefinedSplit

func (*InputDataConfig) GetSavedQueryId 

func (x *InputDataConfig) GetSavedQueryId() string

func (*InputDataConfig) GetSplit 

func (m *InputDataConfig) GetSplit() isInputDataConfig_Split

func (*InputDataConfig) GetStratifiedSplit 

func (x *InputDataConfig) GetStratifiedSplit() *StratifiedSplit

func (*InputDataConfig) GetTimestampSplit 

func (x *InputDataConfig) GetTimestampSplit() *TimestampSplit

func (*InputDataConfig) ProtoMessage 

func (*InputDataConfig) ProtoMessage()

func (*InputDataConfig) ProtoReflect 

func (x *InputDataConfig) ProtoReflect() protoreflect.Message

func (*InputDataConfig) Reset 

func (x *InputDataConfig) Reset()

func (*InputDataConfig) String 

func (x *InputDataConfig) String() string

type InputDataConfig_BigqueryDestination 

type InputDataConfig_BigqueryDestination struct {
	// Only applicable to custom training with tabular Dataset with BigQuery
	// source.
	//
	// The BigQuery project location where the training data is to be written
	// to. In the given project a new dataset is created with name
	// `dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call>`
	// where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
	// input data is written into that dataset. In the dataset three
	// tables are created, `training`, `validation` and `test`.
	//
	// * AIP_DATA_FORMAT = "bigquery".
	// * AIP_TRAINING_DATA_URI  =
	// "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.training"
	//
	// * AIP_VALIDATION_DATA_URI =
	// "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.validation"
	//
	// * AIP_TEST_DATA_URI =
	// "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.test"
	BigqueryDestination *BigQueryDestination `protobuf:"bytes,10,opt,name=bigquery_destination,json=bigqueryDestination,proto3,oneof"`
}

type InputDataConfig_FilterSplit 

type InputDataConfig_FilterSplit struct {
	// Split based on the provided filters for each set.
	FilterSplit *FilterSplit `protobuf:"bytes,3,opt,name=filter_split,json=filterSplit,proto3,oneof"`
}

type InputDataConfig_FractionSplit 

type InputDataConfig_FractionSplit struct {
	// Split based on fractions defining the size of each set.
	FractionSplit *FractionSplit `protobuf:"bytes,2,opt,name=fraction_split,json=fractionSplit,proto3,oneof"`
}

type InputDataConfig_GcsDestination 

type InputDataConfig_GcsDestination struct {
	// The Cloud Storage location where the training data is to be
	// written to. In the given directory a new directory is created with
	// name:
	// `dataset-<dataset-id>-<annotation-type>-<timestamp-of-training-call>`
	// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
	// All training input data is written into that directory.
	//
	// The Vertex AI environment variables representing Cloud Storage
	// data URIs are represented in the Cloud Storage wildcard
	// format to support sharded data. e.g.: "gs://.../training-*.jsonl"
	//
	// * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
	// * AIP_TRAINING_DATA_URI =
	// "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/training-*.${AIP_DATA_FORMAT}"
	//
	// * AIP_VALIDATION_DATA_URI =
	// "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/validation-*.${AIP_DATA_FORMAT}"
	//
	// * AIP_TEST_DATA_URI =
	// "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/test-*.${AIP_DATA_FORMAT}"
	GcsDestination *GcsDestination `protobuf:"bytes,8,opt,name=gcs_destination,json=gcsDestination,proto3,oneof"`
}

type InputDataConfig_PredefinedSplit 

type InputDataConfig_PredefinedSplit struct {
	// Supported only for tabular Datasets.
	//
	// Split based on a predefined key.
	PredefinedSplit *PredefinedSplit `protobuf:"bytes,4,opt,name=predefined_split,json=predefinedSplit,proto3,oneof"`
}

type InputDataConfig_StratifiedSplit 

type InputDataConfig_StratifiedSplit struct {
	// Supported only for tabular Datasets.
	//
	// Split based on the distribution of the specified column.
	StratifiedSplit *StratifiedSplit `protobuf:"bytes,12,opt,name=stratified_split,json=stratifiedSplit,proto3,oneof"`
}

type InputDataConfig_TimestampSplit 

type InputDataConfig_TimestampSplit struct {
	// Supported only for tabular Datasets.
	//
	// Split based on the timestamp of the input data pieces.
	TimestampSplit *TimestampSplit `protobuf:"bytes,5,opt,name=timestamp_split,json=timestampSplit,proto3,oneof"`
}

type Int64Array 

type Int64Array struct {

	// A list of int64 values.
	Values []int64 `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of int64 values.

func (*Int64Array) Descriptor 

func (*Int64Array) Descriptor() ([]byte, []int)

Deprecated: Use Int64Array.ProtoReflect.Descriptor instead.

func (*Int64Array) GetValues 

func (x *Int64Array) GetValues() []int64

func (*Int64Array) ProtoMessage 

func (*Int64Array) ProtoMessage()

func (*Int64Array) ProtoReflect 

func (x *Int64Array) ProtoReflect() protoreflect.Message

func (*Int64Array) Reset 

func (x *Int64Array) Reset()

func (*Int64Array) String 

func (x *Int64Array) String() string

type IntegratedGradientsAttribution 

type IntegratedGradientsAttribution struct {

	// Required. The number of steps for approximating the path integral.
	// A good value to start is 50 and gradually increase until the
	// sum to diff property is within the desired error range.
	//
	// Valid range of its value is [1, 100], inclusively.
	StepCount int32 `protobuf:"varint,1,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
	// Config for SmoothGrad approximation of gradients.
	//
	// When enabled, the gradients are approximated by averaging the gradients
	// from noisy samples in the vicinity of the inputs. Adding
	// noise can help improve the computed gradients. Refer to this paper for more
	// details: https://arxiv.org/pdf/1706.03825.pdf
	SmoothGradConfig *SmoothGradConfig `protobuf:"bytes,2,opt,name=smooth_grad_config,json=smoothGradConfig,proto3" json:"smooth_grad_config,omitempty"`
	// Config for IG with blur baseline.
	//
	// When enabled, a linear path from the maximally blurred image to the input
	// image is created. Using a blurred baseline instead of zero (black image) is
	// motivated by the BlurIG approach explained here:
	// https://arxiv.org/abs/2004.03383
	BlurBaselineConfig *BlurBaselineConfig `protobuf:"bytes,3,opt,name=blur_baseline_config,json=blurBaselineConfig,proto3" json:"blur_baseline_config,omitempty"`
	// contains filtered or unexported fields
}

An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365

func (*IntegratedGradientsAttribution) Descriptor 

func (*IntegratedGradientsAttribution) Descriptor() ([]byte, []int)

Deprecated: Use IntegratedGradientsAttribution.ProtoReflect.Descriptor instead.

func (*IntegratedGradientsAttribution) GetBlurBaselineConfig 

func (x *IntegratedGradientsAttribution) GetBlurBaselineConfig() *BlurBaselineConfig

func (*IntegratedGradientsAttribution) GetSmoothGradConfig 

func (x *IntegratedGradientsAttribution) GetSmoothGradConfig() *SmoothGradConfig

func (*IntegratedGradientsAttribution) GetStepCount 

func (x *IntegratedGradientsAttribution) GetStepCount() int32

func (*IntegratedGradientsAttribution) ProtoMessage 

func (*IntegratedGradientsAttribution) ProtoMessage()

func (*IntegratedGradientsAttribution) ProtoReflect 

func (x *IntegratedGradientsAttribution) ProtoReflect() protoreflect.Message

func (*IntegratedGradientsAttribution) Reset 

func (x *IntegratedGradientsAttribution) Reset()

func (*IntegratedGradientsAttribution) String 

func (x *IntegratedGradientsAttribution) String() string

type JiraSource 

type JiraSource struct {

	// Required. The Jira queries.
	JiraQueries []*JiraSource_JiraQueries `protobuf:"bytes,1,rep,name=jira_queries,json=jiraQueries,proto3" json:"jira_queries,omitempty"`
	// contains filtered or unexported fields
}

The Jira source for the ImportRagFilesRequest.

func (*JiraSource) Descriptor 

func (*JiraSource) Descriptor() ([]byte, []int)

Deprecated: Use JiraSource.ProtoReflect.Descriptor instead.

func (*JiraSource) GetJiraQueries 

func (x *JiraSource) GetJiraQueries() []*JiraSource_JiraQueries

func (*JiraSource) ProtoMessage 

func (*JiraSource) ProtoMessage()

func (*JiraSource) ProtoReflect 

func (x *JiraSource) ProtoReflect() protoreflect.Message

func (*JiraSource) Reset 

func (x *JiraSource) Reset()

func (*JiraSource) String 

func (x *JiraSource) String() string

type JiraSource_JiraQueries 

type JiraSource_JiraQueries struct {

	// A list of Jira projects to import in their entirety.
	Projects []string `protobuf:"bytes,3,rep,name=projects,proto3" json:"projects,omitempty"`
	// A list of custom Jira queries to import. For information about JQL (Jira
	// Query Language), see
	// https://support.atlassian.com/jira-service-management-cloud/docs/use-advanced-search-with-jira-query-language-jql/
	CustomQueries []string `protobuf:"bytes,4,rep,name=custom_queries,json=customQueries,proto3" json:"custom_queries,omitempty"`
	// Required. The Jira email address.
	Email string `protobuf:"bytes,5,opt,name=email,proto3" json:"email,omitempty"`
	// Required. The Jira server URI.
	ServerUri string `protobuf:"bytes,6,opt,name=server_uri,json=serverUri,proto3" json:"server_uri,omitempty"`
	// Required. The SecretManager secret version resource name (e.g.
	// projects/{project}/secrets/{secret}/versions/{version}) storing the
	// Jira API key. See [Manage API tokens for your Atlassian
	// account](https://support.atlassian.com/atlassian-account/docs/manage-api-tokens-for-your-atlassian-account/).
	ApiKeyConfig *ApiAuth_ApiKeyConfig `protobuf:"bytes,7,opt,name=api_key_config,json=apiKeyConfig,proto3" json:"api_key_config,omitempty"`
	// contains filtered or unexported fields
}

JiraQueries contains the Jira queries and corresponding authentication.

func (*JiraSource_JiraQueries) Descriptor 

func (*JiraSource_JiraQueries) Descriptor() ([]byte, []int)

Deprecated: Use JiraSource_JiraQueries.ProtoReflect.Descriptor instead.

func (*JiraSource_JiraQueries) GetApiKeyConfig 

func (x *JiraSource_JiraQueries) GetApiKeyConfig() *ApiAuth_ApiKeyConfig

func (*JiraSource_JiraQueries) GetCustomQueries 

func (x *JiraSource_JiraQueries) GetCustomQueries() []string

func (*JiraSource_JiraQueries) GetEmail 

func (x *JiraSource_JiraQueries) GetEmail() string

func (*JiraSource_JiraQueries) GetProjects 

func (x *JiraSource_JiraQueries) GetProjects() []string

func (*JiraSource_JiraQueries) GetServerUri 

func (x *JiraSource_JiraQueries) GetServerUri() string

func (*JiraSource_JiraQueries) ProtoMessage 

func (*JiraSource_JiraQueries) ProtoMessage()

func (*JiraSource_JiraQueries) ProtoReflect 

func (x *JiraSource_JiraQueries) ProtoReflect() protoreflect.Message

func (*JiraSource_JiraQueries) Reset 

func (x *JiraSource_JiraQueries) Reset()

func (*JiraSource_JiraQueries) String 

func (x *JiraSource_JiraQueries) String() string

type JobServiceClient 

type JobServiceClient interface {
	// Creates a CustomJob. A created CustomJob right away
	// will be attempted to be run.
	CreateCustomJob(ctx context.Context, in *CreateCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
	// Gets a CustomJob.
	GetCustomJob(ctx context.Context, in *GetCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
	// Lists CustomJobs in a Location.
	ListCustomJobs(ctx context.Context, in *ListCustomJobsRequest, opts ...grpc.CallOption) (*ListCustomJobsResponse, error)
	// Deletes a CustomJob.
	DeleteCustomJob(ctx context.Context, in *DeleteCustomJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a CustomJob.
	// Starts asynchronous cancellation on the CustomJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the CustomJob is not deleted; instead it becomes a job with
	// a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with
	// a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
	// `CANCELLED`.
	CancelCustomJob(ctx context.Context, in *CancelCustomJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a DataLabelingJob.
	CreateDataLabelingJob(ctx context.Context, in *CreateDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
	// Gets a DataLabelingJob.
	GetDataLabelingJob(ctx context.Context, in *GetDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
	// Lists DataLabelingJobs in a Location.
	ListDataLabelingJobs(ctx context.Context, in *ListDataLabelingJobsRequest, opts ...grpc.CallOption) (*ListDataLabelingJobsResponse, error)
	// Deletes a DataLabelingJob.
	DeleteDataLabelingJob(ctx context.Context, in *DeleteDataLabelingJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
	CancelDataLabelingJob(ctx context.Context, in *CancelDataLabelingJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a HyperparameterTuningJob
	CreateHyperparameterTuningJob(ctx context.Context, in *CreateHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
	// Gets a HyperparameterTuningJob
	GetHyperparameterTuningJob(ctx context.Context, in *GetHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
	// Lists HyperparameterTuningJobs in a Location.
	ListHyperparameterTuningJobs(ctx context.Context, in *ListHyperparameterTuningJobsRequest, opts ...grpc.CallOption) (*ListHyperparameterTuningJobsResponse, error)
	// Deletes a HyperparameterTuningJob.
	DeleteHyperparameterTuningJob(ctx context.Context, in *DeleteHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a HyperparameterTuningJob.
	// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the HyperparameterTuningJob is not deleted; instead it becomes a job with
	// a
	// [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error]
	// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and
	// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state]
	// is set to `CANCELLED`.
	CancelHyperparameterTuningJob(ctx context.Context, in *CancelHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a NasJob
	CreateNasJob(ctx context.Context, in *CreateNasJobRequest, opts ...grpc.CallOption) (*NasJob, error)
	// Gets a NasJob
	GetNasJob(ctx context.Context, in *GetNasJobRequest, opts ...grpc.CallOption) (*NasJob, error)
	// Lists NasJobs in a Location.
	ListNasJobs(ctx context.Context, in *ListNasJobsRequest, opts ...grpc.CallOption) (*ListNasJobsResponse, error)
	// Deletes a NasJob.
	DeleteNasJob(ctx context.Context, in *DeleteNasJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a NasJob.
	// Starts asynchronous cancellation on the NasJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the NasJob is not deleted; instead it becomes a job with
	// a [NasJob.error][google.cloud.aiplatform.v1.NasJob.error] value with a
	// [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [NasJob.state][google.cloud.aiplatform.v1.NasJob.state] is set to
	// `CANCELLED`.
	CancelNasJob(ctx context.Context, in *CancelNasJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Gets a NasTrialDetail.
	GetNasTrialDetail(ctx context.Context, in *GetNasTrialDetailRequest, opts ...grpc.CallOption) (*NasTrialDetail, error)
	// List top NasTrialDetails of a NasJob.
	ListNasTrialDetails(ctx context.Context, in *ListNasTrialDetailsRequest, opts ...grpc.CallOption) (*ListNasTrialDetailsResponse, error)
	// Creates a BatchPredictionJob. A BatchPredictionJob once created will
	// right away be attempted to start.
	CreateBatchPredictionJob(ctx context.Context, in *CreateBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
	// Gets a BatchPredictionJob
	GetBatchPredictionJob(ctx context.Context, in *GetBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
	// Lists BatchPredictionJobs in a Location.
	ListBatchPredictionJobs(ctx context.Context, in *ListBatchPredictionJobsRequest, opts ...grpc.CallOption) (*ListBatchPredictionJobsResponse, error)
	// Deletes a BatchPredictionJob. Can only be called on jobs that already
	// finished.
	DeleteBatchPredictionJob(ctx context.Context, in *DeleteBatchPredictionJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a BatchPredictionJob.
	//
	// Starts asynchronous cancellation on the BatchPredictionJob. The server
	// makes the best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On a successful cancellation,
	// the BatchPredictionJob is not deleted;instead its
	// [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state]
	// is set to `CANCELLED`. Any files already outputted by the job are not
	// deleted.
	CancelBatchPredictionJob(ctx context.Context, in *CancelBatchPredictionJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
	// configured interval.
	CreateModelDeploymentMonitoringJob(ctx context.Context, in *CreateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
	// Searches Model Monitoring Statistics generated within a given time window.
	SearchModelDeploymentMonitoringStatsAnomalies(ctx context.Context, in *SearchModelDeploymentMonitoringStatsAnomaliesRequest, opts ...grpc.CallOption) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
	// Gets a ModelDeploymentMonitoringJob.
	GetModelDeploymentMonitoringJob(ctx context.Context, in *GetModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
	// Lists ModelDeploymentMonitoringJobs in a Location.
	ListModelDeploymentMonitoringJobs(ctx context.Context, in *ListModelDeploymentMonitoringJobsRequest, opts ...grpc.CallOption) (*ListModelDeploymentMonitoringJobsResponse, error)
	// Updates a ModelDeploymentMonitoringJob.
	UpdateModelDeploymentMonitoringJob(ctx context.Context, in *UpdateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a ModelDeploymentMonitoringJob.
	DeleteModelDeploymentMonitoringJob(ctx context.Context, in *DeleteModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
	// makes a best effort to cancel the job. Will mark
	// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
	// to 'PAUSED'.
	PauseModelDeploymentMonitoringJob(ctx context.Context, in *PauseModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
	// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
	// resumed.
	ResumeModelDeploymentMonitoringJob(ctx context.Context, in *ResumeModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
}

JobServiceClient is the client API for JobService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewJobServiceClient 

func NewJobServiceClient(cc grpc.ClientConnInterface) JobServiceClient

type JobServiceServer 

type JobServiceServer interface {
	// Creates a CustomJob. A created CustomJob right away
	// will be attempted to be run.
	CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error)
	// Gets a CustomJob.
	GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error)
	// Lists CustomJobs in a Location.
	ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error)
	// Deletes a CustomJob.
	DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunningpb.Operation, error)
	// Cancels a CustomJob.
	// Starts asynchronous cancellation on the CustomJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the CustomJob is not deleted; instead it becomes a job with
	// a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with
	// a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
	// `CANCELLED`.
	CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error)
	// Creates a DataLabelingJob.
	CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error)
	// Gets a DataLabelingJob.
	GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error)
	// Lists DataLabelingJobs in a Location.
	ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error)
	// Deletes a DataLabelingJob.
	DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunningpb.Operation, error)
	// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
	CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error)
	// Creates a HyperparameterTuningJob
	CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
	// Gets a HyperparameterTuningJob
	GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
	// Lists HyperparameterTuningJobs in a Location.
	ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error)
	// Deletes a HyperparameterTuningJob.
	DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunningpb.Operation, error)
	// Cancels a HyperparameterTuningJob.
	// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the HyperparameterTuningJob is not deleted; instead it becomes a job with
	// a
	// [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error]
	// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and
	// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state]
	// is set to `CANCELLED`.
	CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error)
	// Creates a NasJob
	CreateNasJob(context.Context, *CreateNasJobRequest) (*NasJob, error)
	// Gets a NasJob
	GetNasJob(context.Context, *GetNasJobRequest) (*NasJob, error)
	// Lists NasJobs in a Location.
	ListNasJobs(context.Context, *ListNasJobsRequest) (*ListNasJobsResponse, error)
	// Deletes a NasJob.
	DeleteNasJob(context.Context, *DeleteNasJobRequest) (*longrunningpb.Operation, error)
	// Cancels a NasJob.
	// Starts asynchronous cancellation on the NasJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the NasJob is not deleted; instead it becomes a job with
	// a [NasJob.error][google.cloud.aiplatform.v1.NasJob.error] value with a
	// [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [NasJob.state][google.cloud.aiplatform.v1.NasJob.state] is set to
	// `CANCELLED`.
	CancelNasJob(context.Context, *CancelNasJobRequest) (*emptypb.Empty, error)
	// Gets a NasTrialDetail.
	GetNasTrialDetail(context.Context, *GetNasTrialDetailRequest) (*NasTrialDetail, error)
	// List top NasTrialDetails of a NasJob.
	ListNasTrialDetails(context.Context, *ListNasTrialDetailsRequest) (*ListNasTrialDetailsResponse, error)
	// Creates a BatchPredictionJob. A BatchPredictionJob once created will
	// right away be attempted to start.
	CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error)
	// Gets a BatchPredictionJob
	GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error)
	// Lists BatchPredictionJobs in a Location.
	ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error)
	// Deletes a BatchPredictionJob. Can only be called on jobs that already
	// finished.
	DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunningpb.Operation, error)
	// Cancels a BatchPredictionJob.
	//
	// Starts asynchronous cancellation on the BatchPredictionJob. The server
	// makes the best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On a successful cancellation,
	// the BatchPredictionJob is not deleted;instead its
	// [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state]
	// is set to `CANCELLED`. Any files already outputted by the job are not
	// deleted.
	CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error)
	// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
	// configured interval.
	CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
	// Searches Model Monitoring Statistics generated within a given time window.
	SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
	// Gets a ModelDeploymentMonitoringJob.
	GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
	// Lists ModelDeploymentMonitoringJobs in a Location.
	ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error)
	// Updates a ModelDeploymentMonitoringJob.
	UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunningpb.Operation, error)
	// Deletes a ModelDeploymentMonitoringJob.
	DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunningpb.Operation, error)
	// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
	// makes a best effort to cancel the job. Will mark
	// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
	// to 'PAUSED'.
	PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
	// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
	// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
	// resumed.
	ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
}

JobServiceServer is the server API for JobService service.

type JobState 

type JobState int32

Describes the state of a job. 

const (
	// The job state is unspecified.
	JobState_JOB_STATE_UNSPECIFIED JobState = 0
	// The job has been just created or resumed and processing has not yet begun.
	JobState_JOB_STATE_QUEUED JobState = 1
	// The service is preparing to run the job.
	JobState_JOB_STATE_PENDING JobState = 2
	// The job is in progress.
	JobState_JOB_STATE_RUNNING JobState = 3
	// The job completed successfully.
	JobState_JOB_STATE_SUCCEEDED JobState = 4
	// The job failed.
	JobState_JOB_STATE_FAILED JobState = 5
	// The job is being cancelled. From this state the job may only go to
	// either `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
	JobState_JOB_STATE_CANCELLING JobState = 6
	// The job has been cancelled.
	JobState_JOB_STATE_CANCELLED JobState = 7
	// The job has been stopped, and can be resumed.
	JobState_JOB_STATE_PAUSED JobState = 8
	// The job has expired.
	JobState_JOB_STATE_EXPIRED JobState = 9
	// The job is being updated. Only jobs in the `RUNNING` state can be updated.
	// After updating, the job goes back to the `RUNNING` state.
	JobState_JOB_STATE_UPDATING JobState = 10
	// The job is partially succeeded, some results may be missing due to errors.
	JobState_JOB_STATE_PARTIALLY_SUCCEEDED JobState = 11
)

func (JobState) Descriptor 

func (JobState) Descriptor() protoreflect.EnumDescriptor

func (JobState) Enum 

func (x JobState) Enum() *JobState

func (JobState) EnumDescriptor 

func (JobState) EnumDescriptor() ([]byte, []int)

Deprecated: Use JobState.Descriptor instead.

func (JobState) Number 

func (x JobState) Number() protoreflect.EnumNumber

func (JobState) String 

func (x JobState) String() string

func (JobState) Type 

func (JobState) Type() protoreflect.EnumType

type LargeModelReference 

type LargeModelReference struct {

	// Required. The unique name of the large Foundation or pre-built model. Like
	// "chat-bison", "text-bison". Or model name with version ID, like
	// "chat-bison@001", "text-bison@005", etc.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Contains information about the Large Model.

func (*LargeModelReference) Descriptor 

func (*LargeModelReference) Descriptor() ([]byte, []int)

Deprecated: Use LargeModelReference.ProtoReflect.Descriptor instead.

func (*LargeModelReference) GetName 

func (x *LargeModelReference) GetName() string

func (*LargeModelReference) ProtoMessage 

func (*LargeModelReference) ProtoMessage()

func (*LargeModelReference) ProtoReflect 

func (x *LargeModelReference) ProtoReflect() protoreflect.Message

func (*LargeModelReference) Reset 

func (x *LargeModelReference) Reset()

func (*LargeModelReference) String 

func (x *LargeModelReference) String() string

type LineageSubgraph 

type LineageSubgraph struct {

	// The Artifact nodes in the subgraph.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// The Execution nodes in the subgraph.
	Executions []*Execution `protobuf:"bytes,2,rep,name=executions,proto3" json:"executions,omitempty"`
	// The Event edges between Artifacts and Executions in the subgraph.
	Events []*Event `protobuf:"bytes,3,rep,name=events,proto3" json:"events,omitempty"`
	// contains filtered or unexported fields
}

A subgraph of the overall lineage graph. Event edges connect Artifact and Execution nodes.

func (*LineageSubgraph) Descriptor 

func (*LineageSubgraph) Descriptor() ([]byte, []int)

Deprecated: Use LineageSubgraph.ProtoReflect.Descriptor instead.

func (*LineageSubgraph) GetArtifacts 

func (x *LineageSubgraph) GetArtifacts() []*Artifact

func (*LineageSubgraph) GetEvents 

func (x *LineageSubgraph) GetEvents() []*Event

func (*LineageSubgraph) GetExecutions 

func (x *LineageSubgraph) GetExecutions() []*Execution

func (*LineageSubgraph) ProtoMessage 

func (*LineageSubgraph) ProtoMessage()

func (*LineageSubgraph) ProtoReflect 

func (x *LineageSubgraph) ProtoReflect() protoreflect.Message

func (*LineageSubgraph) Reset 

func (x *LineageSubgraph) Reset()

func (*LineageSubgraph) String 

func (x *LineageSubgraph) String() string

type ListAnnotationsRequest 

type ListAnnotationsRequest struct {

	// Required. The resource name of the DataItem to list Annotations from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].

func (*ListAnnotationsRequest) Descriptor 

func (*ListAnnotationsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListAnnotationsRequest.ProtoReflect.Descriptor instead.

func (*ListAnnotationsRequest) GetFilter 

func (x *ListAnnotationsRequest) GetFilter() string

func (*ListAnnotationsRequest) GetOrderBy 

func (x *ListAnnotationsRequest) GetOrderBy() string

func (*ListAnnotationsRequest) GetPageSize 

func (x *ListAnnotationsRequest) GetPageSize() int32

func (*ListAnnotationsRequest) GetPageToken 

func (x *ListAnnotationsRequest) GetPageToken() string

func (*ListAnnotationsRequest) GetParent 

func (x *ListAnnotationsRequest) GetParent() string

func (*ListAnnotationsRequest) GetReadMask 

func (x *ListAnnotationsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListAnnotationsRequest) ProtoMessage 

func (*ListAnnotationsRequest) ProtoMessage()

func (*ListAnnotationsRequest) ProtoReflect 

func (x *ListAnnotationsRequest) ProtoReflect() protoreflect.Message

func (*ListAnnotationsRequest) Reset 

func (x *ListAnnotationsRequest) Reset()

func (*ListAnnotationsRequest) String 

func (x *ListAnnotationsRequest) String() string

type ListAnnotationsResponse 

type ListAnnotationsResponse struct {

	// A list of Annotations that matches the specified filter in the request.
	Annotations []*Annotation `protobuf:"bytes,1,rep,name=annotations,proto3" json:"annotations,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].

func (*ListAnnotationsResponse) Descriptor 

func (*ListAnnotationsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListAnnotationsResponse.ProtoReflect.Descriptor instead.

func (*ListAnnotationsResponse) GetAnnotations 

func (x *ListAnnotationsResponse) GetAnnotations() []*Annotation

func (*ListAnnotationsResponse) GetNextPageToken 

func (x *ListAnnotationsResponse) GetNextPageToken() string

func (*ListAnnotationsResponse) ProtoMessage 

func (*ListAnnotationsResponse) ProtoMessage()

func (*ListAnnotationsResponse) ProtoReflect 

func (x *ListAnnotationsResponse) ProtoReflect() protoreflect.Message

func (*ListAnnotationsResponse) Reset 

func (x *ListAnnotationsResponse) Reset()

func (*ListAnnotationsResponse) String 

func (x *ListAnnotationsResponse) String() string

type ListArtifactsRequest 

type ListArtifactsRequest struct {

	// Required. The MetadataStore whose Artifacts should be listed.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Artifacts to return. The service may return fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Filter specifying the boolean condition for the Artifacts to satisfy in
	// order to be part of the result set.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// The supported set of filters include the following:
	//
	//   - **Attribute filtering**:
	//     For example: `display_name = "test"`.
	//     Supported fields include: `name`, `display_name`, `uri`, `state`,
	//     `schema_title`, `create_time`, and `update_time`.
	//     Time fields, such as `create_time` and `update_time`, require values
	//     specified in RFC-3339 format.
	//     For example: `create_time = "2020-11-19T11:30:00-04:00"`
	//   - **Metadata field**:
	//     To filter on metadata fields use traversal operation as follows:
	//     `metadata.<field_name>.<type_value>`.
	//     For example: `metadata.field_1.number_value = 10.0`
	//     In case the field name contains special characters (such as colon), one
	//     can embed it inside double quote.
	//     For example: `metadata."field:1".number_value = 10.0`
	//   - **Context based filtering**:
	//     To filter Artifacts based on the contexts to which they belong, use the
	//     function operator with the full resource name
	//     `in_context(<context-name>)`.
	//     For example:
	//     `in_context("projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context-id>")`
	//
	// Each of the above supported filter types can be combined together using
	// logical operators (`AND` & `OR`). Maximum nested expression depth allowed
	// is 5.
	//
	// For example: `display_name = "test" AND metadata.field1.bool_value = true`.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// How the list of messages is ordered. Specify the values to order by and an
	// ordering operation. The default sorting order is ascending. To specify
	// descending order for a field, users append a " desc" suffix; for example:
	// "foo desc, bar".
	// Subfields are specified with a `.` character, such as foo.bar.
	// see https://google.aip.dev/132#ordering for more details.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].

func (*ListArtifactsRequest) Descriptor 

func (*ListArtifactsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListArtifactsRequest.ProtoReflect.Descriptor instead.

func (*ListArtifactsRequest) GetFilter 

func (x *ListArtifactsRequest) GetFilter() string

func (*ListArtifactsRequest) GetOrderBy 

func (x *ListArtifactsRequest) GetOrderBy() string

func (*ListArtifactsRequest) GetPageSize 

func (x *ListArtifactsRequest) GetPageSize() int32

func (*ListArtifactsRequest) GetPageToken 

func (x *ListArtifactsRequest) GetPageToken() string

func (*ListArtifactsRequest) GetParent 

func (x *ListArtifactsRequest) GetParent() string

func (*ListArtifactsRequest) ProtoMessage 

func (*ListArtifactsRequest) ProtoMessage()

func (*ListArtifactsRequest) ProtoReflect 

func (x *ListArtifactsRequest) ProtoReflect() protoreflect.Message

func (*ListArtifactsRequest) Reset 

func (x *ListArtifactsRequest) Reset()

func (*ListArtifactsRequest) String 

func (x *ListArtifactsRequest) String() string

type ListArtifactsResponse 

type ListArtifactsResponse struct {

	// The Artifacts retrieved from the MetadataStore.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// A token, which can be sent as
	// [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
	// to retrieve the next page.
	// If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].

func (*ListArtifactsResponse) Descriptor 

func (*ListArtifactsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListArtifactsResponse.ProtoReflect.Descriptor instead.

func (*ListArtifactsResponse) GetArtifacts 

func (x *ListArtifactsResponse) GetArtifacts() []*Artifact

func (*ListArtifactsResponse) GetNextPageToken 

func (x *ListArtifactsResponse) GetNextPageToken() string

func (*ListArtifactsResponse) ProtoMessage 

func (*ListArtifactsResponse) ProtoMessage()

func (*ListArtifactsResponse) ProtoReflect 

func (x *ListArtifactsResponse) ProtoReflect() protoreflect.Message

func (*ListArtifactsResponse) Reset 

func (x *ListArtifactsResponse) Reset()

func (*ListArtifactsResponse) String 

func (x *ListArtifactsResponse) String() string

type ListBatchPredictionJobsRequest 

type ListBatchPredictionJobsRequest struct {

	// Required. The resource name of the Location to list the BatchPredictionJobs
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   - `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `model_display_name` supports `=`, `!=` comparisons.
	//   - `state` supports `=`, `!=` comparisons.
	//   - `create_time` supports `=`, `!=`,`<`, `<=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   - `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   - `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   - `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   - `NOT display_name="my_job"`
	//   - `create_time>"2021-05-18T00:00:00Z"`
	//   - `labels.keyA=valueA`
	//   - `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
	// of the previous
	// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].

func (*ListBatchPredictionJobsRequest) Descriptor 

func (*ListBatchPredictionJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListBatchPredictionJobsRequest.ProtoReflect.Descriptor instead.

func (*ListBatchPredictionJobsRequest) GetFilter 

func (x *ListBatchPredictionJobsRequest) GetFilter() string

func (*ListBatchPredictionJobsRequest) GetPageSize 

func (x *ListBatchPredictionJobsRequest) GetPageSize() int32

func (*ListBatchPredictionJobsRequest) GetPageToken 

func (x *ListBatchPredictionJobsRequest) GetPageToken() string

func (*ListBatchPredictionJobsRequest) GetParent 

func (x *ListBatchPredictionJobsRequest) GetParent() string

func (*ListBatchPredictionJobsRequest) GetReadMask 

func (x *ListBatchPredictionJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListBatchPredictionJobsRequest) ProtoMessage 

func (*ListBatchPredictionJobsRequest) ProtoMessage()

func (*ListBatchPredictionJobsRequest) ProtoReflect 

func (x *ListBatchPredictionJobsRequest) ProtoReflect() protoreflect.Message

func (*ListBatchPredictionJobsRequest) Reset 

func (x *ListBatchPredictionJobsRequest) Reset()

func (*ListBatchPredictionJobsRequest) String 

func (x *ListBatchPredictionJobsRequest) String() string

type ListBatchPredictionJobsResponse 

type ListBatchPredictionJobsResponse struct {

	// List of BatchPredictionJobs in the requested page.
	BatchPredictionJobs []*BatchPredictionJob `protobuf:"bytes,1,rep,name=batch_prediction_jobs,json=batchPredictionJobs,proto3" json:"batch_prediction_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]

func (*ListBatchPredictionJobsResponse) Descriptor 

func (*ListBatchPredictionJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListBatchPredictionJobsResponse.ProtoReflect.Descriptor instead.

func (*ListBatchPredictionJobsResponse) GetBatchPredictionJobs 

func (x *ListBatchPredictionJobsResponse) GetBatchPredictionJobs() []*BatchPredictionJob

func (*ListBatchPredictionJobsResponse) GetNextPageToken 

func (x *ListBatchPredictionJobsResponse) GetNextPageToken() string

func (*ListBatchPredictionJobsResponse) ProtoMessage 

func (*ListBatchPredictionJobsResponse) ProtoMessage()

func (*ListBatchPredictionJobsResponse) ProtoReflect 

func (x *ListBatchPredictionJobsResponse) ProtoReflect() protoreflect.Message

func (*ListBatchPredictionJobsResponse) Reset 

func (x *ListBatchPredictionJobsResponse) Reset()

func (*ListBatchPredictionJobsResponse) String 

func (x *ListBatchPredictionJobsResponse) String() string

type ListCachedContentsRequest 

type ListCachedContentsRequest struct {

	// Required. The parent, which owns this collection of cached contents.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The maximum number of cached contents to return. The service may
	// return fewer than this value. If unspecified, some default (under maximum)
	// number of items will be returned. The maximum value is 1000; values above
	// 1000 will be coerced to 1000.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. A page token, received from a previous `ListCachedContents` call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to `ListCachedContents` must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request to list CachedContents.

func (*ListCachedContentsRequest) Descriptor 

func (*ListCachedContentsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListCachedContentsRequest.ProtoReflect.Descriptor instead.

func (*ListCachedContentsRequest) GetPageSize 

func (x *ListCachedContentsRequest) GetPageSize() int32

func (*ListCachedContentsRequest) GetPageToken 

func (x *ListCachedContentsRequest) GetPageToken() string

func (*ListCachedContentsRequest) GetParent 

func (x *ListCachedContentsRequest) GetParent() string

func (*ListCachedContentsRequest) ProtoMessage 

func (*ListCachedContentsRequest) ProtoMessage()

func (*ListCachedContentsRequest) ProtoReflect 

func (x *ListCachedContentsRequest) ProtoReflect() protoreflect.Message

func (*ListCachedContentsRequest) Reset 

func (x *ListCachedContentsRequest) Reset()

func (*ListCachedContentsRequest) String 

func (x *ListCachedContentsRequest) String() string

type ListCachedContentsResponse 

type ListCachedContentsResponse struct {

	// List of cached contents.
	CachedContents []*CachedContent `protobuf:"bytes,1,rep,name=cached_contents,json=cachedContents,proto3" json:"cached_contents,omitempty"`
	// A token, which can be sent as `page_token` to retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response with a list of CachedContents.

func (*ListCachedContentsResponse) Descriptor 

func (*ListCachedContentsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListCachedContentsResponse.ProtoReflect.Descriptor instead.

func (*ListCachedContentsResponse) GetCachedContents 

func (x *ListCachedContentsResponse) GetCachedContents() []*CachedContent

func (*ListCachedContentsResponse) GetNextPageToken 

func (x *ListCachedContentsResponse) GetNextPageToken() string

func (*ListCachedContentsResponse) ProtoMessage 

func (*ListCachedContentsResponse) ProtoMessage()

func (*ListCachedContentsResponse) ProtoReflect 

func (x *ListCachedContentsResponse) ProtoReflect() protoreflect.Message

func (*ListCachedContentsResponse) Reset 

func (x *ListCachedContentsResponse) Reset()

func (*ListCachedContentsResponse) String 

func (x *ListCachedContentsResponse) String() string

type ListContextsRequest 

type ListContextsRequest struct {

	// Required. The MetadataStore whose Contexts should be listed.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Contexts to return. The service may return fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Filter specifying the boolean condition for the Contexts to satisfy in
	// order to be part of the result set.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// Following are the supported set of filters:
	//
	//   - **Attribute filtering**:
	//     For example: `display_name = "test"`.
	//     Supported fields include: `name`, `display_name`, `schema_title`,
	//     `create_time`, and `update_time`.
	//     Time fields, such as `create_time` and `update_time`, require values
	//     specified in RFC-3339 format.
	//     For example: `create_time = "2020-11-19T11:30:00-04:00"`.
	//
	//   - **Metadata field**:
	//     To filter on metadata fields use traversal operation as follows:
	//     `metadata.<field_name>.<type_value>`.
	//     For example: `metadata.field_1.number_value = 10.0`.
	//     In case the field name contains special characters (such as colon), one
	//     can embed it inside double quote.
	//     For example: `metadata."field:1".number_value = 10.0`
	//
	//   - **Parent Child filtering**:
	//     To filter Contexts based on parent-child relationship use the HAS
	//     operator as follows:
	//
	//     ```
	//     parent_contexts:
	//     "projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context_id>"
	//     child_contexts:
	//     "projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context_id>"
	//     ```
	//
	// Each of the above supported filters can be combined together using
	// logical operators (`AND` & `OR`). Maximum nested expression depth allowed
	// is 5.
	//
	// For example: `display_name = "test" AND metadata.field1.bool_value = true`.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// How the list of messages is ordered. Specify the values to order by and an
	// ordering operation. The default sorting order is ascending. To specify
	// descending order for a field, users append a " desc" suffix; for example:
	// "foo desc, bar".
	// Subfields are specified with a `.` character, such as foo.bar.
	// see https://google.aip.dev/132#ordering for more details.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]

func (*ListContextsRequest) Descriptor 

func (*ListContextsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListContextsRequest.ProtoReflect.Descriptor instead.

func (*ListContextsRequest) GetFilter 

func (x *ListContextsRequest) GetFilter() string

func (*ListContextsRequest) GetOrderBy 

func (x *ListContextsRequest) GetOrderBy() string

func (*ListContextsRequest) GetPageSize 

func (x *ListContextsRequest) GetPageSize() int32

func (*ListContextsRequest) GetPageToken 

func (x *ListContextsRequest) GetPageToken() string

func (*ListContextsRequest) GetParent 

func (x *ListContextsRequest) GetParent() string

func (*ListContextsRequest) ProtoMessage 

func (*ListContextsRequest) ProtoMessage()

func (*ListContextsRequest) ProtoReflect 

func (x *ListContextsRequest) ProtoReflect() protoreflect.Message

func (*ListContextsRequest) Reset 

func (x *ListContextsRequest) Reset()

func (*ListContextsRequest) String 

func (x *ListContextsRequest) String() string

type ListContextsResponse 

type ListContextsResponse struct {

	// The Contexts retrieved from the MetadataStore.
	Contexts []*Context `protobuf:"bytes,1,rep,name=contexts,proto3" json:"contexts,omitempty"`
	// A token, which can be sent as
	// [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
	// to retrieve the next page.
	// If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].

func (*ListContextsResponse) Descriptor 

func (*ListContextsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListContextsResponse.ProtoReflect.Descriptor instead.

func (*ListContextsResponse) GetContexts 

func (x *ListContextsResponse) GetContexts() []*Context

func (*ListContextsResponse) GetNextPageToken 

func (x *ListContextsResponse) GetNextPageToken() string

func (*ListContextsResponse) ProtoMessage 

func (*ListContextsResponse) ProtoMessage()

func (*ListContextsResponse) ProtoReflect 

func (x *ListContextsResponse) ProtoReflect() protoreflect.Message

func (*ListContextsResponse) Reset 

func (x *ListContextsResponse) Reset()

func (*ListContextsResponse) String 

func (x *ListContextsResponse) String() string

type ListCustomJobsRequest 

type ListCustomJobsRequest struct {

	// Required. The resource name of the Location to list the CustomJobs from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   - `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `state` supports `=`, `!=` comparisons.
	//   - `create_time` supports `=`, `!=`,`<`, `<=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   - `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   - `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   - `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   - `NOT display_name="my_job"`
	//   - `create_time>"2021-05-18T00:00:00Z"`
	//   - `labels.keyA=valueA`
	//   - `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
	// of the previous
	// [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].

func (*ListCustomJobsRequest) Descriptor 

func (*ListCustomJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListCustomJobsRequest.ProtoReflect.Descriptor instead.

func (*ListCustomJobsRequest) GetFilter 

func (x *ListCustomJobsRequest) GetFilter() string

func (*ListCustomJobsRequest) GetPageSize 

func (x *ListCustomJobsRequest) GetPageSize() int32

func (*ListCustomJobsRequest) GetPageToken 

func (x *ListCustomJobsRequest) GetPageToken() string

func (*ListCustomJobsRequest) GetParent 

func (x *ListCustomJobsRequest) GetParent() string

func (*ListCustomJobsRequest) GetReadMask 

func (x *ListCustomJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListCustomJobsRequest) ProtoMessage 

func (*ListCustomJobsRequest) ProtoMessage()

func (*ListCustomJobsRequest) ProtoReflect 

func (x *ListCustomJobsRequest) ProtoReflect() protoreflect.Message

func (*ListCustomJobsRequest) Reset 

func (x *ListCustomJobsRequest) Reset()

func (*ListCustomJobsRequest) String 

func (x *ListCustomJobsRequest) String() string

type ListCustomJobsResponse 

type ListCustomJobsResponse struct {

	// List of CustomJobs in the requested page.
	CustomJobs []*CustomJob `protobuf:"bytes,1,rep,name=custom_jobs,json=customJobs,proto3" json:"custom_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]

func (*ListCustomJobsResponse) Descriptor 

func (*ListCustomJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListCustomJobsResponse.ProtoReflect.Descriptor instead.

func (*ListCustomJobsResponse) GetCustomJobs 

func (x *ListCustomJobsResponse) GetCustomJobs() []*CustomJob

func (*ListCustomJobsResponse) GetNextPageToken 

func (x *ListCustomJobsResponse) GetNextPageToken() string

func (*ListCustomJobsResponse) ProtoMessage 

func (*ListCustomJobsResponse) ProtoMessage()

func (*ListCustomJobsResponse) ProtoReflect 

func (x *ListCustomJobsResponse) ProtoReflect() protoreflect.Message

func (*ListCustomJobsResponse) Reset 

func (x *ListCustomJobsResponse) Reset()

func (*ListCustomJobsResponse) String 

func (x *ListCustomJobsResponse) String() string

type ListDataItemsRequest 

type ListDataItemsRequest struct {

	// Required. The resource name of the Dataset to list DataItems from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].

func (*ListDataItemsRequest) Descriptor 

func (*ListDataItemsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDataItemsRequest.ProtoReflect.Descriptor instead.

func (*ListDataItemsRequest) GetFilter 

func (x *ListDataItemsRequest) GetFilter() string

func (*ListDataItemsRequest) GetOrderBy 

func (x *ListDataItemsRequest) GetOrderBy() string

func (*ListDataItemsRequest) GetPageSize 

func (x *ListDataItemsRequest) GetPageSize() int32

func (*ListDataItemsRequest) GetPageToken 

func (x *ListDataItemsRequest) GetPageToken() string

func (*ListDataItemsRequest) GetParent 

func (x *ListDataItemsRequest) GetParent() string

func (*ListDataItemsRequest) GetReadMask 

func (x *ListDataItemsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDataItemsRequest) ProtoMessage 

func (*ListDataItemsRequest) ProtoMessage()

func (*ListDataItemsRequest) ProtoReflect 

func (x *ListDataItemsRequest) ProtoReflect() protoreflect.Message

func (*ListDataItemsRequest) Reset 

func (x *ListDataItemsRequest) Reset()

func (*ListDataItemsRequest) String 

func (x *ListDataItemsRequest) String() string

type ListDataItemsResponse 

type ListDataItemsResponse struct {

	// A list of DataItems that matches the specified filter in the request.
	DataItems []*DataItem `protobuf:"bytes,1,rep,name=data_items,json=dataItems,proto3" json:"data_items,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].

func (*ListDataItemsResponse) Descriptor 

func (*ListDataItemsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDataItemsResponse.ProtoReflect.Descriptor instead.

func (*ListDataItemsResponse) GetDataItems 

func (x *ListDataItemsResponse) GetDataItems() []*DataItem

func (*ListDataItemsResponse) GetNextPageToken 

func (x *ListDataItemsResponse) GetNextPageToken() string

func (*ListDataItemsResponse) ProtoMessage 

func (*ListDataItemsResponse) ProtoMessage()

func (*ListDataItemsResponse) ProtoReflect 

func (x *ListDataItemsResponse) ProtoReflect() protoreflect.Message

func (*ListDataItemsResponse) Reset 

func (x *ListDataItemsResponse) Reset()

func (*ListDataItemsResponse) String 

func (x *ListDataItemsResponse) String() string

type ListDataLabelingJobsRequest 

type ListDataLabelingJobsRequest struct {

	// Required. The parent of the DataLabelingJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   - `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `state` supports `=`, `!=` comparisons.
	//   - `create_time` supports `=`, `!=`,`<`, `<=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   - `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   - `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   - `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   - `NOT display_name="my_job"`
	//   - `create_time>"2021-05-18T00:00:00Z"`
	//   - `labels.keyA=valueA`
	//   - `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read. FieldMask represents a set of
	// symbolic field paths. For example, the mask can be `paths: "name"`. The
	// "name" here is a field in DataLabelingJob.
	// If this field is not set, all fields of the DataLabelingJob are returned.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order by
	// default.
	// Use `desc` after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].

func (*ListDataLabelingJobsRequest) Descriptor 

func (*ListDataLabelingJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDataLabelingJobsRequest.ProtoReflect.Descriptor instead.

func (*ListDataLabelingJobsRequest) GetFilter 

func (x *ListDataLabelingJobsRequest) GetFilter() string

func (*ListDataLabelingJobsRequest) GetOrderBy 

func (x *ListDataLabelingJobsRequest) GetOrderBy() string

func (*ListDataLabelingJobsRequest) GetPageSize 

func (x *ListDataLabelingJobsRequest) GetPageSize() int32

func (*ListDataLabelingJobsRequest) GetPageToken 

func (x *ListDataLabelingJobsRequest) GetPageToken() string

func (*ListDataLabelingJobsRequest) GetParent 

func (x *ListDataLabelingJobsRequest) GetParent() string

func (*ListDataLabelingJobsRequest) GetReadMask 

func (x *ListDataLabelingJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDataLabelingJobsRequest) ProtoMessage 

func (*ListDataLabelingJobsRequest) ProtoMessage()

func (*ListDataLabelingJobsRequest) ProtoReflect 

func (x *ListDataLabelingJobsRequest) ProtoReflect() protoreflect.Message

func (*ListDataLabelingJobsRequest) Reset 

func (x *ListDataLabelingJobsRequest) Reset()

func (*ListDataLabelingJobsRequest) String 

func (x *ListDataLabelingJobsRequest) String() string

type ListDataLabelingJobsResponse 

type ListDataLabelingJobsResponse struct {

	// A list of DataLabelingJobs that matches the specified filter in the
	// request.
	DataLabelingJobs []*DataLabelingJob `protobuf:"bytes,1,rep,name=data_labeling_jobs,json=dataLabelingJobs,proto3" json:"data_labeling_jobs,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].

func (*ListDataLabelingJobsResponse) Descriptor 

func (*ListDataLabelingJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDataLabelingJobsResponse.ProtoReflect.Descriptor instead.

func (*ListDataLabelingJobsResponse) GetDataLabelingJobs 

func (x *ListDataLabelingJobsResponse) GetDataLabelingJobs() []*DataLabelingJob

func (*ListDataLabelingJobsResponse) GetNextPageToken 

func (x *ListDataLabelingJobsResponse) GetNextPageToken() string

func (*ListDataLabelingJobsResponse) ProtoMessage 

func (*ListDataLabelingJobsResponse) ProtoMessage()

func (*ListDataLabelingJobsResponse) ProtoReflect 

func (x *ListDataLabelingJobsResponse) ProtoReflect() protoreflect.Message

func (*ListDataLabelingJobsResponse) Reset 

func (x *ListDataLabelingJobsResponse) Reset()

func (*ListDataLabelingJobsResponse) String 

func (x *ListDataLabelingJobsResponse) String() string

type ListDatasetVersionsRequest 

type ListDatasetVersionsRequest struct {

	// Required. The resource name of the Dataset to list DatasetVersions from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// Optional. A comma-separated list of fields to order by, sorted in ascending
	// order. Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions].

func (*ListDatasetVersionsRequest) Descriptor 

func (*ListDatasetVersionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDatasetVersionsRequest.ProtoReflect.Descriptor instead.

func (*ListDatasetVersionsRequest) GetFilter 

func (x *ListDatasetVersionsRequest) GetFilter() string

func (*ListDatasetVersionsRequest) GetOrderBy 

func (x *ListDatasetVersionsRequest) GetOrderBy() string

func (*ListDatasetVersionsRequest) GetPageSize 

func (x *ListDatasetVersionsRequest) GetPageSize() int32

func (*ListDatasetVersionsRequest) GetPageToken 

func (x *ListDatasetVersionsRequest) GetPageToken() string

func (*ListDatasetVersionsRequest) GetParent 

func (x *ListDatasetVersionsRequest) GetParent() string

func (*ListDatasetVersionsRequest) GetReadMask 

func (x *ListDatasetVersionsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDatasetVersionsRequest) ProtoMessage 

func (*ListDatasetVersionsRequest) ProtoMessage()

func (*ListDatasetVersionsRequest) ProtoReflect 

func (x *ListDatasetVersionsRequest) ProtoReflect() protoreflect.Message

func (*ListDatasetVersionsRequest) Reset 

func (x *ListDatasetVersionsRequest) Reset()

func (*ListDatasetVersionsRequest) String 

func (x *ListDatasetVersionsRequest) String() string

type ListDatasetVersionsResponse 

type ListDatasetVersionsResponse struct {

	// A list of DatasetVersions that matches the specified filter in the request.
	DatasetVersions []*DatasetVersion `protobuf:"bytes,1,rep,name=dataset_versions,json=datasetVersions,proto3" json:"dataset_versions,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions].

func (*ListDatasetVersionsResponse) Descriptor 

func (*ListDatasetVersionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDatasetVersionsResponse.ProtoReflect.Descriptor instead.

func (*ListDatasetVersionsResponse) GetDatasetVersions 

func (x *ListDatasetVersionsResponse) GetDatasetVersions() []*DatasetVersion

func (*ListDatasetVersionsResponse) GetNextPageToken 

func (x *ListDatasetVersionsResponse) GetNextPageToken() string

func (*ListDatasetVersionsResponse) ProtoMessage 

func (*ListDatasetVersionsResponse) ProtoMessage()

func (*ListDatasetVersionsResponse) ProtoReflect 

func (x *ListDatasetVersionsResponse) ProtoReflect() protoreflect.Message

func (*ListDatasetVersionsResponse) Reset 

func (x *ListDatasetVersionsResponse) Reset()

func (*ListDatasetVersionsResponse) String 

func (x *ListDatasetVersionsResponse) String() string

type ListDatasetsRequest 

type ListDatasetsRequest struct {

	// Required. The name of the Dataset's parent resource.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   - `display_name`: supports = and !=
	//   - `metadata_schema_uri`: supports = and !=
	//   - `labels` supports general map functions that is:
	//   - `labels.key=value` - key:value equality
	//   - `labels.key:* or labels:key - key existence
	//   - A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//
	//   - `displayName="myDisplayName"`
	//   - `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   - `display_name`
	//   - `create_time`
	//   - `update_time`
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].

func (*ListDatasetsRequest) Descriptor 

func (*ListDatasetsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDatasetsRequest.ProtoReflect.Descriptor instead.

func (*ListDatasetsRequest) GetFilter 

func (x *ListDatasetsRequest) GetFilter() string

func (*ListDatasetsRequest) GetOrderBy 

func (x *ListDatasetsRequest) GetOrderBy() string

func (*ListDatasetsRequest) GetPageSize 

func (x *ListDatasetsRequest) GetPageSize() int32

func (*ListDatasetsRequest) GetPageToken 

func (x *ListDatasetsRequest) GetPageToken() string

func (*ListDatasetsRequest) GetParent 

func (x *ListDatasetsRequest) GetParent() string

func (*ListDatasetsRequest) GetReadMask 

func (x *ListDatasetsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDatasetsRequest) ProtoMessage 

func (*ListDatasetsRequest) ProtoMessage()

func (*ListDatasetsRequest) ProtoReflect 

func (x *ListDatasetsRequest) ProtoReflect() protoreflect.Message

func (*ListDatasetsRequest) Reset 

func (x *ListDatasetsRequest) Reset()

func (*ListDatasetsRequest) String 

func (x *ListDatasetsRequest) String() string

type ListDatasetsResponse 

type ListDatasetsResponse struct {

	// A list of Datasets that matches the specified filter in the request.
	Datasets []*Dataset `protobuf:"bytes,1,rep,name=datasets,proto3" json:"datasets,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].

func (*ListDatasetsResponse) Descriptor 

func (*ListDatasetsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDatasetsResponse.ProtoReflect.Descriptor instead.

func (*ListDatasetsResponse) GetDatasets 

func (x *ListDatasetsResponse) GetDatasets() []*Dataset

func (*ListDatasetsResponse) GetNextPageToken 

func (x *ListDatasetsResponse) GetNextPageToken() string

func (*ListDatasetsResponse) ProtoMessage 

func (*ListDatasetsResponse) ProtoMessage()

func (*ListDatasetsResponse) ProtoReflect 

func (x *ListDatasetsResponse) ProtoReflect() protoreflect.Message

func (*ListDatasetsResponse) Reset 

func (x *ListDatasetsResponse) Reset()

func (*ListDatasetsResponse) String 

func (x *ListDatasetsResponse) String() string

type ListDeploymentResourcePoolsRequest 

type ListDeploymentResourcePoolsRequest struct {

	// Required. The parent Location which owns this collection of
	// DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of DeploymentResourcePools to return. The service may
	// return fewer than this value.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous `ListDeploymentResourcePools` call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// `ListDeploymentResourcePools` must match the call that provided the page
	// token.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for ListDeploymentResourcePools method.

func (*ListDeploymentResourcePoolsRequest) Descriptor 

func (*ListDeploymentResourcePoolsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDeploymentResourcePoolsRequest.ProtoReflect.Descriptor instead.

func (*ListDeploymentResourcePoolsRequest) GetPageSize 

func (x *ListDeploymentResourcePoolsRequest) GetPageSize() int32

func (*ListDeploymentResourcePoolsRequest) GetPageToken 

func (x *ListDeploymentResourcePoolsRequest) GetPageToken() string

func (*ListDeploymentResourcePoolsRequest) GetParent 

func (x *ListDeploymentResourcePoolsRequest) GetParent() string

func (*ListDeploymentResourcePoolsRequest) ProtoMessage 

func (*ListDeploymentResourcePoolsRequest) ProtoMessage()

func (*ListDeploymentResourcePoolsRequest) ProtoReflect 

func (x *ListDeploymentResourcePoolsRequest) ProtoReflect() protoreflect.Message

func (*ListDeploymentResourcePoolsRequest) Reset 

func (x *ListDeploymentResourcePoolsRequest) Reset()

func (*ListDeploymentResourcePoolsRequest) String 

func (x *ListDeploymentResourcePoolsRequest) String() string

type ListDeploymentResourcePoolsResponse 

type ListDeploymentResourcePoolsResponse struct {

	// The DeploymentResourcePools from the specified location.
	DeploymentResourcePools []*DeploymentResourcePool `protobuf:"bytes,1,rep,name=deployment_resource_pools,json=deploymentResourcePools,proto3" json:"deployment_resource_pools,omitempty"`
	// A token, which can be sent as `page_token` to retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for ListDeploymentResourcePools method.

func (*ListDeploymentResourcePoolsResponse) Descriptor 

func (*ListDeploymentResourcePoolsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDeploymentResourcePoolsResponse.ProtoReflect.Descriptor instead.

func (*ListDeploymentResourcePoolsResponse) GetDeploymentResourcePools 

func (x *ListDeploymentResourcePoolsResponse) GetDeploymentResourcePools() []*DeploymentResourcePool

func (*ListDeploymentResourcePoolsResponse) GetNextPageToken 

func (x *ListDeploymentResourcePoolsResponse) GetNextPageToken() string

func (*ListDeploymentResourcePoolsResponse) ProtoMessage 

func (*ListDeploymentResourcePoolsResponse) ProtoMessage()

func (*ListDeploymentResourcePoolsResponse) ProtoReflect 

func (x *ListDeploymentResourcePoolsResponse) ProtoReflect() protoreflect.Message

func (*ListDeploymentResourcePoolsResponse) Reset 

func (x *ListDeploymentResourcePoolsResponse) Reset()

func (*ListDeploymentResourcePoolsResponse) String 

func (x *ListDeploymentResourcePoolsResponse) String() string

type ListEndpointsRequest 

type ListEndpointsRequest struct {

	// Required. The resource name of the Location from which to list the
	// Endpoints. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. An expression for filtering the results of the request. For field
	// names both snake_case and camelCase are supported.
	//
	//   - `endpoint` supports `=` and `!=`. `endpoint` represents the Endpoint
	//     ID, i.e. the last segment of the Endpoint's
	//     [resource name][google.cloud.aiplatform.v1.Endpoint.name].
	//   - `display_name` supports `=` and `!=`.
	//   - `labels` supports general map functions that is:
	//   - `labels.key=value` - key:value equality
	//   - `labels.key:*` or `labels:key` - key existence
	//   - A key including a space must be quoted. `labels."a key"`.
	//   - `base_model_name` only supports `=`.
	//
	// Some examples:
	//
	//   - `endpoint=1`
	//   - `displayName="myDisplayName"`
	//   - `labels.myKey="myValue"`
	//   - `baseModelName="text-bison"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
	// of the previous
	// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   - `display_name`
	//   - `create_time`
	//   - `update_time`
	//
	// Example: `display_name, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].

func (*ListEndpointsRequest) Descriptor 

func (*ListEndpointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListEndpointsRequest.ProtoReflect.Descriptor instead.

func (*ListEndpointsRequest) GetFilter 

func (x *ListEndpointsRequest) GetFilter() string

func (*ListEndpointsRequest) GetOrderBy 

func (x *ListEndpointsRequest) GetOrderBy() string

func (*ListEndpointsRequest) GetPageSize 

func (x *ListEndpointsRequest) GetPageSize() int32

func (*ListEndpointsRequest) GetPageToken 

func (x *ListEndpointsRequest) GetPageToken() string

func (*ListEndpointsRequest) GetParent 

func (x *ListEndpointsRequest) GetParent() string

func (*ListEndpointsRequest) GetReadMask 

func (x *ListEndpointsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListEndpointsRequest) ProtoMessage 

func (*ListEndpointsRequest) ProtoMessage()

func (*ListEndpointsRequest) ProtoReflect 

func (x *ListEndpointsRequest) ProtoReflect() protoreflect.Message

func (*ListEndpointsRequest) Reset 

func (x *ListEndpointsRequest) Reset()

func (*ListEndpointsRequest) String 

func (x *ListEndpointsRequest) String() string

type ListEndpointsResponse 

type ListEndpointsResponse struct {

	// List of Endpoints in the requested page.
	Endpoints []*Endpoint `protobuf:"bytes,1,rep,name=endpoints,proto3" json:"endpoints,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].

func (*ListEndpointsResponse) Descriptor 

func (*ListEndpointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListEndpointsResponse.ProtoReflect.Descriptor instead.

func (*ListEndpointsResponse) GetEndpoints 

func (x *ListEndpointsResponse) GetEndpoints() []*Endpoint

func (*ListEndpointsResponse) GetNextPageToken 

func (x *ListEndpointsResponse) GetNextPageToken() string

func (*ListEndpointsResponse) ProtoMessage 

func (*ListEndpointsResponse) ProtoMessage()

func (*ListEndpointsResponse) ProtoReflect 

func (x *ListEndpointsResponse) ProtoReflect() protoreflect.Message

func (*ListEndpointsResponse) Reset 

func (x *ListEndpointsResponse) Reset()

func (*ListEndpointsResponse) String 

func (x *ListEndpointsResponse) String() string

type ListEntityTypesRequest 

type ListEntityTypesRequest struct {

	// Required. The resource name of the Featurestore to list EntityTypes.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the EntityTypes that match the filter expression. The following
	// filters are supported:
	//
	// * `create_time`: Supports `=`, `!=`, `<`, `>`, `>=`, and `<=` comparisons.
	// Values must be in RFC 3339 format.
	// * `update_time`: Supports `=`, `!=`, `<`, `>`, `>=`, and `<=` comparisons.
	// Values must be in RFC 3339 format.
	// * `labels`: Supports key-value equality as well as key presence.
	//
	// Examples:
	//
	//   - `create_time > \"2020-01-31T15:30:00.000000Z\" OR
	//     update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
	//     or updated after 2020-01-31T15:30:00.000000Z.
	//   - `labels.active = yes AND labels.env = prod` --> EntityTypes having both
	//     (active: yes) and (env: prod) labels.
	//   - `labels.env: *` --> Any EntityType which has a label with 'env' as the
	//     key.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of EntityTypes to return. The service may return fewer
	// than this value. If unspecified, at most 1000 EntityTypes will be returned.
	// The maximum value is 1000; any value greater than 1000 will be coerced to
	// 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	//
	// Supported fields:
	//
	//   - `entity_type_id`
	//   - `create_time`
	//   - `update_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].

func (*ListEntityTypesRequest) Descriptor 

func (*ListEntityTypesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListEntityTypesRequest.ProtoReflect.Descriptor instead.

func (*ListEntityTypesRequest) GetFilter 

func (x *ListEntityTypesRequest) GetFilter() string

func (*ListEntityTypesRequest) GetOrderBy 

func (x *ListEntityTypesRequest) GetOrderBy() string

func (*ListEntityTypesRequest) GetPageSize 

func (x *ListEntityTypesRequest) GetPageSize() int32

func (*ListEntityTypesRequest) GetPageToken 

func (x *ListEntityTypesRequest) GetPageToken() string

func (*ListEntityTypesRequest) GetParent 

func (x *ListEntityTypesRequest) GetParent() string

func (*ListEntityTypesRequest) GetReadMask 

func (x *ListEntityTypesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListEntityTypesRequest) ProtoMessage 

func (*ListEntityTypesRequest) ProtoMessage()

func (*ListEntityTypesRequest) ProtoReflect 

func (x *ListEntityTypesRequest) ProtoReflect() protoreflect.Message

func (*ListEntityTypesRequest) Reset 

func (x *ListEntityTypesRequest) Reset()

func (*ListEntityTypesRequest) String 

func (x *ListEntityTypesRequest) String() string

type ListEntityTypesResponse 

type ListEntityTypesResponse struct {

	// The EntityTypes matching the request.
	EntityTypes []*EntityType `protobuf:"bytes,1,rep,name=entity_types,json=entityTypes,proto3" json:"entity_types,omitempty"`
	// A token, which can be sent as
	// [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].

func (*ListEntityTypesResponse) Descriptor 

func (*ListEntityTypesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListEntityTypesResponse.ProtoReflect.Descriptor instead.

func (*ListEntityTypesResponse) GetEntityTypes 

func (x *ListEntityTypesResponse) GetEntityTypes() []*EntityType

func (*ListEntityTypesResponse) GetNextPageToken 

func (x *ListEntityTypesResponse) GetNextPageToken() string

func (*ListEntityTypesResponse) ProtoMessage 

func (*ListEntityTypesResponse) ProtoMessage()

func (*ListEntityTypesResponse) ProtoReflect 

func (x *ListEntityTypesResponse) ProtoReflect() protoreflect.Message

func (*ListEntityTypesResponse) Reset 

func (x *ListEntityTypesResponse) Reset()

func (*ListEntityTypesResponse) String 

func (x *ListEntityTypesResponse) String() string

type ListExecutionsRequest 

type ListExecutionsRequest struct {

	// Required. The MetadataStore whose Executions should be listed.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Executions to return. The service may return fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with an
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Filter specifying the boolean condition for the Executions to satisfy in
	// order to be part of the result set.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// Following are the supported set of filters:
	//
	//   - **Attribute filtering**:
	//     For example: `display_name = "test"`.
	//     Supported fields include: `name`, `display_name`, `state`,
	//     `schema_title`, `create_time`, and `update_time`.
	//     Time fields, such as `create_time` and `update_time`, require values
	//     specified in RFC-3339 format.
	//     For example: `create_time = "2020-11-19T11:30:00-04:00"`.
	//   - **Metadata field**:
	//     To filter on metadata fields use traversal operation as follows:
	//     `metadata.<field_name>.<type_value>`
	//     For example: `metadata.field_1.number_value = 10.0`
	//     In case the field name contains special characters (such as colon), one
	//     can embed it inside double quote.
	//     For example: `metadata."field:1".number_value = 10.0`
	//   - **Context based filtering**:
	//     To filter Executions based on the contexts to which they belong use
	//     the function operator with the full resource name:
	//     `in_context(<context-name>)`.
	//     For example:
	//     `in_context("projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context-id>")`
	//
	// Each of the above supported filters can be combined together using
	// logical operators (`AND` & `OR`). Maximum nested expression depth allowed
	// is 5.
	//
	// For example: `display_name = "test" AND metadata.field1.bool_value = true`.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// How the list of messages is ordered. Specify the values to order by and an
	// ordering operation. The default sorting order is ascending. To specify
	// descending order for a field, users append a " desc" suffix; for example:
	// "foo desc, bar".
	// Subfields are specified with a `.` character, such as foo.bar.
	// see https://google.aip.dev/132#ordering for more details.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].

func (*ListExecutionsRequest) Descriptor 

func (*ListExecutionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListExecutionsRequest.ProtoReflect.Descriptor instead.

func (*ListExecutionsRequest) GetFilter 

func (x *ListExecutionsRequest) GetFilter() string

func (*ListExecutionsRequest) GetOrderBy 

func (x *ListExecutionsRequest) GetOrderBy() string

func (*ListExecutionsRequest) GetPageSize 

func (x *ListExecutionsRequest) GetPageSize() int32

func (*ListExecutionsRequest) GetPageToken 

func (x *ListExecutionsRequest) GetPageToken() string

func (*ListExecutionsRequest) GetParent 

func (x *ListExecutionsRequest) GetParent() string

func (*ListExecutionsRequest) ProtoMessage 

func (*ListExecutionsRequest) ProtoMessage()

func (*ListExecutionsRequest) ProtoReflect 

func (x *ListExecutionsRequest) ProtoReflect() protoreflect.Message

func (*ListExecutionsRequest) Reset 

func (x *ListExecutionsRequest) Reset()

func (*ListExecutionsRequest) String 

func (x *ListExecutionsRequest) String() string

type ListExecutionsResponse 

type ListExecutionsResponse struct {

	// The Executions retrieved from the MetadataStore.
	Executions []*Execution `protobuf:"bytes,1,rep,name=executions,proto3" json:"executions,omitempty"`
	// A token, which can be sent as
	// [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
	// to retrieve the next page.
	// If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].

func (*ListExecutionsResponse) Descriptor 

func (*ListExecutionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListExecutionsResponse.ProtoReflect.Descriptor instead.

func (*ListExecutionsResponse) GetExecutions 

func (x *ListExecutionsResponse) GetExecutions() []*Execution

func (*ListExecutionsResponse) GetNextPageToken 

func (x *ListExecutionsResponse) GetNextPageToken() string

func (*ListExecutionsResponse) ProtoMessage 

func (*ListExecutionsResponse) ProtoMessage()

func (*ListExecutionsResponse) ProtoReflect 

func (x *ListExecutionsResponse) ProtoReflect() protoreflect.Message

func (*ListExecutionsResponse) Reset 

func (x *ListExecutionsResponse) Reset()

func (*ListExecutionsResponse) String 

func (x *ListExecutionsResponse) String() string

type ListFeatureGroupsRequest 

type ListFeatureGroupsRequest struct {

	// Required. The resource name of the Location to list FeatureGroups.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the FeatureGroups that match the filter expression. The
	// following fields are supported:
	//
	// * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	// Values must be
	//
	//	in RFC 3339 format.
	//
	// * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	// Values must be
	//
	//	in RFC 3339 format.
	//
	// * `labels`: Supports key-value equality and key presence.
	//
	// Examples:
	//
	//   - `create_time > "2020-01-01" OR update_time > "2020-01-01"`
	//     FeatureGroups created or updated after 2020-01-01.
	//   - `labels.env = "prod"`
	//     FeatureGroups with label "env" set to "prod".
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of FeatureGroups to return. The service may return
	// fewer than this value. If unspecified, at most 100 FeatureGroups will
	// be returned. The maximum value is 100; any value greater than 100 will be
	// coerced to 100.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported Fields:
	//
	//   - `create_time`
	//   - `update_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups].

func (*ListFeatureGroupsRequest) Descriptor 

func (*ListFeatureGroupsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeatureGroupsRequest.ProtoReflect.Descriptor instead.

func (*ListFeatureGroupsRequest) GetFilter 

func (x *ListFeatureGroupsRequest) GetFilter() string

func (*ListFeatureGroupsRequest) GetOrderBy 

func (x *ListFeatureGroupsRequest) GetOrderBy() string

func (*ListFeatureGroupsRequest) GetPageSize 

func (x *ListFeatureGroupsRequest) GetPageSize() int32

func (*ListFeatureGroupsRequest) GetPageToken 

func (x *ListFeatureGroupsRequest) GetPageToken() string

func (*ListFeatureGroupsRequest) GetParent 

func (x *ListFeatureGroupsRequest) GetParent() string

func (*ListFeatureGroupsRequest) ProtoMessage 

func (*ListFeatureGroupsRequest) ProtoMessage()

func (*ListFeatureGroupsRequest) ProtoReflect 

func (x *ListFeatureGroupsRequest) ProtoReflect() protoreflect.Message

func (*ListFeatureGroupsRequest) Reset 

func (x *ListFeatureGroupsRequest) Reset()

func (*ListFeatureGroupsRequest) String 

func (x *ListFeatureGroupsRequest) String() string

type ListFeatureGroupsResponse 

type ListFeatureGroupsResponse struct {

	// The FeatureGroups matching the request.
	FeatureGroups []*FeatureGroup `protobuf:"bytes,1,rep,name=feature_groups,json=featureGroups,proto3" json:"feature_groups,omitempty"`
	// A token, which can be sent as
	// [ListFeatureGroupsRequest.page_token][google.cloud.aiplatform.v1.ListFeatureGroupsRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups].

func (*ListFeatureGroupsResponse) Descriptor 

func (*ListFeatureGroupsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeatureGroupsResponse.ProtoReflect.Descriptor instead.

func (*ListFeatureGroupsResponse) GetFeatureGroups 

func (x *ListFeatureGroupsResponse) GetFeatureGroups() []*FeatureGroup

func (*ListFeatureGroupsResponse) GetNextPageToken 

func (x *ListFeatureGroupsResponse) GetNextPageToken() string

func (*ListFeatureGroupsResponse) ProtoMessage 

func (*ListFeatureGroupsResponse) ProtoMessage()

func (*ListFeatureGroupsResponse) ProtoReflect 

func (x *ListFeatureGroupsResponse) ProtoReflect() protoreflect.Message

func (*ListFeatureGroupsResponse) Reset 

func (x *ListFeatureGroupsResponse) Reset()

func (*ListFeatureGroupsResponse) String 

func (x *ListFeatureGroupsResponse) String() string

type ListFeatureOnlineStoresRequest 

type ListFeatureOnlineStoresRequest struct {

	// Required. The resource name of the Location to list FeatureOnlineStores.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the FeatureOnlineStores that match the filter expression. The
	// following fields are supported:
	//
	// * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	// Values must be
	//
	//	in RFC 3339 format.
	//
	// * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	// Values must be
	//
	//	in RFC 3339 format.
	//
	// * `labels`: Supports key-value equality and key presence.
	//
	// Examples:
	//
	//   - `create_time > "2020-01-01" OR update_time > "2020-01-01"`
	//     FeatureOnlineStores created or updated after 2020-01-01.
	//   - `labels.env = "prod"`
	//     FeatureOnlineStores with label "env" set to "prod".
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of FeatureOnlineStores to return. The service may return
	// fewer than this value. If unspecified, at most 100 FeatureOnlineStores will
	// be returned. The maximum value is 100; any value greater than 100 will be
	// coerced to 100.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported Fields:
	//
	//   - `create_time`
	//   - `update_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].

func (*ListFeatureOnlineStoresRequest) Descriptor 

func (*ListFeatureOnlineStoresRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeatureOnlineStoresRequest.ProtoReflect.Descriptor instead.

func (*ListFeatureOnlineStoresRequest) GetFilter 

func (x *ListFeatureOnlineStoresRequest) GetFilter() string

func (*ListFeatureOnlineStoresRequest) GetOrderBy 

func (x *ListFeatureOnlineStoresRequest) GetOrderBy() string

func (*ListFeatureOnlineStoresRequest) GetPageSize 

func (x *ListFeatureOnlineStoresRequest) GetPageSize() int32

func (*ListFeatureOnlineStoresRequest) GetPageToken 

func (x *ListFeatureOnlineStoresRequest) GetPageToken() string

func (*ListFeatureOnlineStoresRequest) GetParent 

func (x *ListFeatureOnlineStoresRequest) GetParent() string

func (*ListFeatureOnlineStoresRequest) ProtoMessage 

func (*ListFeatureOnlineStoresRequest) ProtoMessage()

func (*ListFeatureOnlineStoresRequest) ProtoReflect 

func (x *ListFeatureOnlineStoresRequest) ProtoReflect() protoreflect.Message

func (*ListFeatureOnlineStoresRequest) Reset 

func (x *ListFeatureOnlineStoresRequest) Reset()

func (*ListFeatureOnlineStoresRequest) String 

func (x *ListFeatureOnlineStoresRequest) String() string

type ListFeatureOnlineStoresResponse 

type ListFeatureOnlineStoresResponse struct {

	// The FeatureOnlineStores matching the request.
	FeatureOnlineStores []*FeatureOnlineStore `protobuf:"bytes,1,rep,name=feature_online_stores,json=featureOnlineStores,proto3" json:"feature_online_stores,omitempty"`
	// A token, which can be sent as
	// [ListFeatureOnlineStoresRequest.page_token][google.cloud.aiplatform.v1.ListFeatureOnlineStoresRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].

func (*ListFeatureOnlineStoresResponse) Descriptor 

func (*ListFeatureOnlineStoresResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeatureOnlineStoresResponse.ProtoReflect.Descriptor instead.

func (*ListFeatureOnlineStoresResponse) GetFeatureOnlineStores 

func (x *ListFeatureOnlineStoresResponse) GetFeatureOnlineStores() []*FeatureOnlineStore

func (*ListFeatureOnlineStoresResponse) GetNextPageToken 

func (x *ListFeatureOnlineStoresResponse) GetNextPageToken() string

func (*ListFeatureOnlineStoresResponse) ProtoMessage 

func (*ListFeatureOnlineStoresResponse) ProtoMessage()

func (*ListFeatureOnlineStoresResponse) ProtoReflect 

func (x *ListFeatureOnlineStoresResponse) ProtoReflect() protoreflect.Message

func (*ListFeatureOnlineStoresResponse) Reset 

func (x *ListFeatureOnlineStoresResponse) Reset()

func (*ListFeatureOnlineStoresResponse) String 

func (x *ListFeatureOnlineStoresResponse) String() string

type ListFeatureViewSyncsRequest 

type ListFeatureViewSyncsRequest struct {

	// Required. The resource name of the FeatureView to list FeatureViewSyncs.
	// Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the FeatureViewSyncs that match the filter expression. The following
	// filters are supported:
	//
	// * `create_time`: Supports `=`, `!=`, `<`, `>`, `>=`, and `<=` comparisons.
	// Values must be in RFC 3339 format.
	//
	// Examples:
	//
	//   - `create_time > \"2020-01-31T15:30:00.000000Z\"` --> FeatureViewSyncs
	//     created after 2020-01-31T15:30:00.000000Z.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of FeatureViewSyncs to return. The service may return
	// fewer than this value. If unspecified, at most 1000 FeatureViewSyncs will
	// be returned. The maximum value is 1000; any value greater than 1000 will be
	// coerced to 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	//
	// Supported fields:
	//
	//   - `create_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].

func (*ListFeatureViewSyncsRequest) Descriptor 

func (*ListFeatureViewSyncsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeatureViewSyncsRequest.ProtoReflect.Descriptor instead.

func (*ListFeatureViewSyncsRequest) GetFilter 

func (x *ListFeatureViewSyncsRequest) GetFilter() string

func (*ListFeatureViewSyncsRequest) GetOrderBy 

func (x *ListFeatureViewSyncsRequest) GetOrderBy() string

func (*ListFeatureViewSyncsRequest) GetPageSize 

func (x *ListFeatureViewSyncsRequest) GetPageSize() int32

func (*ListFeatureViewSyncsRequest) GetPageToken 

func (x *ListFeatureViewSyncsRequest) GetPageToken() string

func (*ListFeatureViewSyncsRequest) GetParent 

func (x *ListFeatureViewSyncsRequest) GetParent() string

func (*ListFeatureViewSyncsRequest) ProtoMessage 

func (*ListFeatureViewSyncsRequest) ProtoMessage()

func (*ListFeatureViewSyncsRequest) ProtoReflect 

func (x *ListFeatureViewSyncsRequest) ProtoReflect() protoreflect.Message

func (*ListFeatureViewSyncsRequest) Reset 

func (x *ListFeatureViewSyncsRequest) Reset()

func (*ListFeatureViewSyncsRequest) String 

func (x *ListFeatureViewSyncsRequest) String() string

type ListFeatureViewSyncsResponse 

type ListFeatureViewSyncsResponse struct {

	// The FeatureViewSyncs matching the request.
	FeatureViewSyncs []*FeatureViewSync `protobuf:"bytes,1,rep,name=feature_view_syncs,json=featureViewSyncs,proto3" json:"feature_view_syncs,omitempty"`
	// A token, which can be sent as
	// [ListFeatureViewSyncsRequest.page_token][google.cloud.aiplatform.v1.ListFeatureViewSyncsRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].

func (*ListFeatureViewSyncsResponse) Descriptor 

func (*ListFeatureViewSyncsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeatureViewSyncsResponse.ProtoReflect.Descriptor instead.

func (*ListFeatureViewSyncsResponse) GetFeatureViewSyncs 

func (x *ListFeatureViewSyncsResponse) GetFeatureViewSyncs() []*FeatureViewSync

func (*ListFeatureViewSyncsResponse) GetNextPageToken 

func (x *ListFeatureViewSyncsResponse) GetNextPageToken() string

func (*ListFeatureViewSyncsResponse) ProtoMessage 

func (*ListFeatureViewSyncsResponse) ProtoMessage()

func (*ListFeatureViewSyncsResponse) ProtoReflect 

func (x *ListFeatureViewSyncsResponse) ProtoReflect() protoreflect.Message

func (*ListFeatureViewSyncsResponse) Reset 

func (x *ListFeatureViewSyncsResponse) Reset()

func (*ListFeatureViewSyncsResponse) String 

func (x *ListFeatureViewSyncsResponse) String() string

type ListFeatureViewsRequest 

type ListFeatureViewsRequest struct {

	// Required. The resource name of the FeatureOnlineStore to list FeatureViews.
	// Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the FeatureViews that match the filter expression. The following
	// filters are supported:
	//
	// * `create_time`: Supports `=`, `!=`, `<`, `>`, `>=`, and `<=` comparisons.
	// Values must be in RFC 3339 format.
	// * `update_time`: Supports `=`, `!=`, `<`, `>`, `>=`, and `<=` comparisons.
	// Values must be in RFC 3339 format.
	// * `labels`: Supports key-value equality as well as key presence.
	//
	// Examples:
	//
	//   - `create_time > \"2020-01-31T15:30:00.000000Z\" OR
	//     update_time > \"2020-01-31T15:30:00.000000Z\"` --> FeatureViews
	//     created or updated after 2020-01-31T15:30:00.000000Z.
	//   - `labels.active = yes AND labels.env = prod` --> FeatureViews having both
	//     (active: yes) and (env: prod) labels.
	//   - `labels.env: *` --> Any FeatureView which has a label with 'env' as the
	//     key.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of FeatureViews to return. The service may return fewer
	// than this value. If unspecified, at most 1000 FeatureViews will be
	// returned. The maximum value is 1000; any value greater than 1000 will be
	// coerced to 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	//
	// Supported fields:
	//
	//   - `feature_view_id`
	//   - `create_time`
	//   - `update_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews].

func (*ListFeatureViewsRequest) Descriptor 

func (*ListFeatureViewsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeatureViewsRequest.ProtoReflect.Descriptor instead.

func (*ListFeatureViewsRequest) GetFilter 

func (x *ListFeatureViewsRequest) GetFilter() string

func (*ListFeatureViewsRequest) GetOrderBy 

func (x *ListFeatureViewsRequest) GetOrderBy() string

func (*ListFeatureViewsRequest) GetPageSize 

func (x *ListFeatureViewsRequest) GetPageSize() int32

func (*ListFeatureViewsRequest) GetPageToken 

func (x *ListFeatureViewsRequest) GetPageToken() string

func (*ListFeatureViewsRequest) GetParent 

func (x *ListFeatureViewsRequest) GetParent() string

func (*ListFeatureViewsRequest) ProtoMessage 

func (*ListFeatureViewsRequest) ProtoMessage()

func (*ListFeatureViewsRequest) ProtoReflect 

func (x *ListFeatureViewsRequest) ProtoReflect() protoreflect.Message

func (*ListFeatureViewsRequest) Reset 

func (x *ListFeatureViewsRequest) Reset()

func (*ListFeatureViewsRequest) String 

func (x *ListFeatureViewsRequest) String() string

type ListFeatureViewsResponse 

type ListFeatureViewsResponse struct {

	// The FeatureViews matching the request.
	FeatureViews []*FeatureView `protobuf:"bytes,1,rep,name=feature_views,json=featureViews,proto3" json:"feature_views,omitempty"`
	// A token, which can be sent as
	// [ListFeatureViewsRequest.page_token][google.cloud.aiplatform.v1.ListFeatureViewsRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews].

func (*ListFeatureViewsResponse) Descriptor 

func (*ListFeatureViewsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeatureViewsResponse.ProtoReflect.Descriptor instead.

func (*ListFeatureViewsResponse) GetFeatureViews 

func (x *ListFeatureViewsResponse) GetFeatureViews() []*FeatureView

func (*ListFeatureViewsResponse) GetNextPageToken 

func (x *ListFeatureViewsResponse) GetNextPageToken() string

func (*ListFeatureViewsResponse) ProtoMessage 

func (*ListFeatureViewsResponse) ProtoMessage()

func (*ListFeatureViewsResponse) ProtoReflect 

func (x *ListFeatureViewsResponse) ProtoReflect() protoreflect.Message

func (*ListFeatureViewsResponse) Reset 

func (x *ListFeatureViewsResponse) Reset()

func (*ListFeatureViewsResponse) String 

func (x *ListFeatureViewsResponse) String() string

type ListFeaturesRequest 

type ListFeaturesRequest struct {

	// Required. The resource name of the Location to list Features.
	// Format for entity_type as parent:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	// Format for feature_group as parent:
	// `projects/{project}/locations/{location}/featureGroups/{feature_group}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the Features that match the filter expression. The following
	// filters are supported:
	//
	// * `value_type`: Supports = and != comparisons.
	// * `create_time`: Supports =, !=, <, >, >=, and <= comparisons. Values must
	// be in RFC 3339 format.
	// * `update_time`: Supports =, !=, <, >, >=, and <= comparisons. Values must
	// be in RFC 3339 format.
	// * `labels`: Supports key-value equality as well as key presence.
	//
	// Examples:
	//
	//   - `value_type = DOUBLE` --> Features whose type is DOUBLE.
	//   - `create_time > \"2020-01-31T15:30:00.000000Z\" OR
	//     update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
	//     or updated after 2020-01-31T15:30:00.000000Z.
	//   - `labels.active = yes AND labels.env = prod` --> Features having both
	//     (active: yes) and (env: prod) labels.
	//   - `labels.env: *` --> Any Feature which has a label with 'env' as the
	//     key.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of Features to return. The service may return fewer
	// than this value. If unspecified, at most 1000 Features will be returned.
	// The maximum value is 1000; any value greater than 1000 will be coerced to
	// 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
	// call or
	// [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
	// or
	// [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   - `feature_id`
	//   - `value_type` (Not supported for FeatureRegistry Feature)
	//   - `create_time`
	//   - `update_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// Only applicable for Vertex AI Feature Store (Legacy).
	// If set, return the most recent
	// [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
	// of stats for each Feature in response. Valid value is [0, 10]. If number of
	// stats exists <
	// [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count],
	// return all existing stats.
	LatestStatsCount int32 `protobuf:"varint,7,opt,name=latest_stats_count,json=latestStatsCount,proto3" json:"latest_stats_count,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. Request message for [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures].

func (*ListFeaturesRequest) Descriptor 

func (*ListFeaturesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturesRequest.ProtoReflect.Descriptor instead.

func (*ListFeaturesRequest) GetFilter 

func (x *ListFeaturesRequest) GetFilter() string

func (*ListFeaturesRequest) GetLatestStatsCount 

func (x *ListFeaturesRequest) GetLatestStatsCount() int32

func (*ListFeaturesRequest) GetOrderBy 

func (x *ListFeaturesRequest) GetOrderBy() string

func (*ListFeaturesRequest) GetPageSize 

func (x *ListFeaturesRequest) GetPageSize() int32

func (*ListFeaturesRequest) GetPageToken 

func (x *ListFeaturesRequest) GetPageToken() string

func (*ListFeaturesRequest) GetParent 

func (x *ListFeaturesRequest) GetParent() string

func (*ListFeaturesRequest) GetReadMask 

func (x *ListFeaturesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListFeaturesRequest) ProtoMessage 

func (*ListFeaturesRequest) ProtoMessage()

func (*ListFeaturesRequest) ProtoReflect 

func (x *ListFeaturesRequest) ProtoReflect() protoreflect.Message

func (*ListFeaturesRequest) Reset 

func (x *ListFeaturesRequest) Reset()

func (*ListFeaturesRequest) String 

func (x *ListFeaturesRequest) String() string

type ListFeaturesResponse 

type ListFeaturesResponse struct {

	// The Features matching the request.
	Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// A token, which can be sent as
	// [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. Response message for [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures].

func (*ListFeaturesResponse) Descriptor 

func (*ListFeaturesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturesResponse.ProtoReflect.Descriptor instead.

func (*ListFeaturesResponse) GetFeatures 

func (x *ListFeaturesResponse) GetFeatures() []*Feature

func (*ListFeaturesResponse) GetNextPageToken 

func (x *ListFeaturesResponse) GetNextPageToken() string

func (*ListFeaturesResponse) ProtoMessage 

func (*ListFeaturesResponse) ProtoMessage()

func (*ListFeaturesResponse) ProtoReflect 

func (x *ListFeaturesResponse) ProtoReflect() protoreflect.Message

func (*ListFeaturesResponse) Reset 

func (x *ListFeaturesResponse) Reset()

func (*ListFeaturesResponse) String 

func (x *ListFeaturesResponse) String() string

type ListFeaturestoresRequest 

type ListFeaturestoresRequest struct {

	// Required. The resource name of the Location to list Featurestores.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the featurestores that match the filter expression. The following
	// fields are supported:
	//
	// * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	// Values must be
	//
	//	in RFC 3339 format.
	//
	// * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	// Values must be
	//
	//	in RFC 3339 format.
	//
	// * `online_serving_config.fixed_node_count`: Supports `=`, `!=`, `<`, `>`,
	// `<=`, and `>=` comparisons.
	// * `labels`: Supports key-value equality and key presence.
	//
	// Examples:
	//
	//   - `create_time > "2020-01-01" OR update_time > "2020-01-01"`
	//     Featurestores created or updated after 2020-01-01.
	//   - `labels.env = "prod"`
	//     Featurestores with label "env" set to "prod".
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of Featurestores to return. The service may return fewer
	// than this value. If unspecified, at most 100 Featurestores will be
	// returned. The maximum value is 100; any value greater than 100 will be
	// coerced to 100.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported Fields:
	//
	//   - `create_time`
	//   - `update_time`
	//   - `online_serving_config.fixed_node_count`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].

func (*ListFeaturestoresRequest) Descriptor 

func (*ListFeaturestoresRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturestoresRequest.ProtoReflect.Descriptor instead.

func (*ListFeaturestoresRequest) GetFilter 

func (x *ListFeaturestoresRequest) GetFilter() string

func (*ListFeaturestoresRequest) GetOrderBy 

func (x *ListFeaturestoresRequest) GetOrderBy() string

func (*ListFeaturestoresRequest) GetPageSize 

func (x *ListFeaturestoresRequest) GetPageSize() int32

func (*ListFeaturestoresRequest) GetPageToken 

func (x *ListFeaturestoresRequest) GetPageToken() string

func (*ListFeaturestoresRequest) GetParent 

func (x *ListFeaturestoresRequest) GetParent() string

func (*ListFeaturestoresRequest) GetReadMask 

func (x *ListFeaturestoresRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListFeaturestoresRequest) ProtoMessage 

func (*ListFeaturestoresRequest) ProtoMessage()

func (*ListFeaturestoresRequest) ProtoReflect 

func (x *ListFeaturestoresRequest) ProtoReflect() protoreflect.Message

func (*ListFeaturestoresRequest) Reset 

func (x *ListFeaturestoresRequest) Reset()

func (*ListFeaturestoresRequest) String 

func (x *ListFeaturestoresRequest) String() string

type ListFeaturestoresResponse 

type ListFeaturestoresResponse struct {

	// The Featurestores matching the request.
	Featurestores []*Featurestore `protobuf:"bytes,1,rep,name=featurestores,proto3" json:"featurestores,omitempty"`
	// A token, which can be sent as
	// [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].

func (*ListFeaturestoresResponse) Descriptor 

func (*ListFeaturestoresResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturestoresResponse.ProtoReflect.Descriptor instead.

func (*ListFeaturestoresResponse) GetFeaturestores 

func (x *ListFeaturestoresResponse) GetFeaturestores() []*Featurestore

func (*ListFeaturestoresResponse) GetNextPageToken 

func (x *ListFeaturestoresResponse) GetNextPageToken() string

func (*ListFeaturestoresResponse) ProtoMessage 

func (*ListFeaturestoresResponse) ProtoMessage()

func (*ListFeaturestoresResponse) ProtoReflect 

func (x *ListFeaturestoresResponse) ProtoReflect() protoreflect.Message

func (*ListFeaturestoresResponse) Reset 

func (x *ListFeaturestoresResponse) Reset()

func (*ListFeaturestoresResponse) String 

func (x *ListFeaturestoresResponse) String() string

type ListHyperparameterTuningJobsRequest 

type ListHyperparameterTuningJobsRequest struct {

	// Required. The resource name of the Location to list the
	// HyperparameterTuningJobs from. Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   - `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `state` supports `=`, `!=` comparisons.
	//   - `create_time` supports `=`, `!=`,`<`, `<=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   - `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   - `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   - `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   - `NOT display_name="my_job"`
	//   - `create_time>"2021-05-18T00:00:00Z"`
	//   - `labels.keyA=valueA`
	//   - `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
	// of the previous
	// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].

func (*ListHyperparameterTuningJobsRequest) Descriptor 

func (*ListHyperparameterTuningJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListHyperparameterTuningJobsRequest.ProtoReflect.Descriptor instead.

func (*ListHyperparameterTuningJobsRequest) GetFilter 

func (x *ListHyperparameterTuningJobsRequest) GetFilter() string

func (*ListHyperparameterTuningJobsRequest) GetPageSize 

func (x *ListHyperparameterTuningJobsRequest) GetPageSize() int32

func (*ListHyperparameterTuningJobsRequest) GetPageToken 

func (x *ListHyperparameterTuningJobsRequest) GetPageToken() string

func (*ListHyperparameterTuningJobsRequest) GetParent 

func (x *ListHyperparameterTuningJobsRequest) GetParent() string

func (*ListHyperparameterTuningJobsRequest) GetReadMask 

func (x *ListHyperparameterTuningJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListHyperparameterTuningJobsRequest) ProtoMessage 

func (*ListHyperparameterTuningJobsRequest) ProtoMessage()

func (*ListHyperparameterTuningJobsRequest) ProtoReflect 

func (x *ListHyperparameterTuningJobsRequest) ProtoReflect() protoreflect.Message

func (*ListHyperparameterTuningJobsRequest) Reset 

func (x *ListHyperparameterTuningJobsRequest) Reset()

func (*ListHyperparameterTuningJobsRequest) String 

func (x *ListHyperparameterTuningJobsRequest) String() string

type ListHyperparameterTuningJobsResponse 

type ListHyperparameterTuningJobsResponse struct {

	// List of HyperparameterTuningJobs in the requested page.
	// [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
	// of the jobs will be not be returned.
	HyperparameterTuningJobs []*HyperparameterTuningJob `protobuf:"bytes,1,rep,name=hyperparameter_tuning_jobs,json=hyperparameterTuningJobs,proto3" json:"hyperparameter_tuning_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]

func (*ListHyperparameterTuningJobsResponse) Descriptor 

func (*ListHyperparameterTuningJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListHyperparameterTuningJobsResponse.ProtoReflect.Descriptor instead.

func (*ListHyperparameterTuningJobsResponse) GetHyperparameterTuningJobs 

func (x *ListHyperparameterTuningJobsResponse) GetHyperparameterTuningJobs() []*HyperparameterTuningJob

func (*ListHyperparameterTuningJobsResponse) GetNextPageToken 

func (x *ListHyperparameterTuningJobsResponse) GetNextPageToken() string

func (*ListHyperparameterTuningJobsResponse) ProtoMessage 

func (*ListHyperparameterTuningJobsResponse) ProtoMessage()

func (*ListHyperparameterTuningJobsResponse) ProtoReflect 

func (x *ListHyperparameterTuningJobsResponse) ProtoReflect() protoreflect.Message

func (*ListHyperparameterTuningJobsResponse) Reset 

func (x *ListHyperparameterTuningJobsResponse) Reset()

func (*ListHyperparameterTuningJobsResponse) String 

func (x *ListHyperparameterTuningJobsResponse) String() string

type ListIndexEndpointsRequest 

type ListIndexEndpointsRequest struct {

	// Required. The resource name of the Location from which to list the
	// IndexEndpoints. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. An expression for filtering the results of the request. For field
	// names both snake_case and camelCase are supported.
	//
	//   - `index_endpoint` supports = and !=. `index_endpoint` represents the
	//     IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
	//     [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
	//   - `display_name` supports =, != and regex()
	//     (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
	//   - `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* or labels:key - key existence
	//     A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//   - `index_endpoint="1"`
	//   - `display_name="myDisplayName"`
	//   - `regex(display_name, "^A") -> The display name starts with an A.
	//   - `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
	// of the previous
	// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].

func (*ListIndexEndpointsRequest) Descriptor 

func (*ListIndexEndpointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexEndpointsRequest.ProtoReflect.Descriptor instead.

func (*ListIndexEndpointsRequest) GetFilter 

func (x *ListIndexEndpointsRequest) GetFilter() string

func (*ListIndexEndpointsRequest) GetPageSize 

func (x *ListIndexEndpointsRequest) GetPageSize() int32

func (*ListIndexEndpointsRequest) GetPageToken 

func (x *ListIndexEndpointsRequest) GetPageToken() string

func (*ListIndexEndpointsRequest) GetParent 

func (x *ListIndexEndpointsRequest) GetParent() string

func (*ListIndexEndpointsRequest) GetReadMask 

func (x *ListIndexEndpointsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListIndexEndpointsRequest) ProtoMessage 

func (*ListIndexEndpointsRequest) ProtoMessage()

func (*ListIndexEndpointsRequest) ProtoReflect 

func (x *ListIndexEndpointsRequest) ProtoReflect() protoreflect.Message

func (*ListIndexEndpointsRequest) Reset 

func (x *ListIndexEndpointsRequest) Reset()

func (*ListIndexEndpointsRequest) String 

func (x *ListIndexEndpointsRequest) String() string

type ListIndexEndpointsResponse 

type ListIndexEndpointsResponse struct {

	// List of IndexEndpoints in the requested page.
	IndexEndpoints []*IndexEndpoint `protobuf:"bytes,1,rep,name=index_endpoints,json=indexEndpoints,proto3" json:"index_endpoints,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].

func (*ListIndexEndpointsResponse) Descriptor 

func (*ListIndexEndpointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexEndpointsResponse.ProtoReflect.Descriptor instead.

func (*ListIndexEndpointsResponse) GetIndexEndpoints 

func (x *ListIndexEndpointsResponse) GetIndexEndpoints() []*IndexEndpoint

func (*ListIndexEndpointsResponse) GetNextPageToken 

func (x *ListIndexEndpointsResponse) GetNextPageToken() string

func (*ListIndexEndpointsResponse) ProtoMessage 

func (*ListIndexEndpointsResponse) ProtoMessage()

func (*ListIndexEndpointsResponse) ProtoReflect 

func (x *ListIndexEndpointsResponse) ProtoReflect() protoreflect.Message

func (*ListIndexEndpointsResponse) Reset 

func (x *ListIndexEndpointsResponse) Reset()

func (*ListIndexEndpointsResponse) String 

func (x *ListIndexEndpointsResponse) String() string

type ListIndexesRequest 

type ListIndexesRequest struct {

	// Required. The resource name of the Location from which to list the Indexes.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
	// of the previous
	// [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].

func (*ListIndexesRequest) Descriptor 

func (*ListIndexesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexesRequest.ProtoReflect.Descriptor instead.

func (*ListIndexesRequest) GetFilter 

func (x *ListIndexesRequest) GetFilter() string

func (*ListIndexesRequest) GetPageSize 

func (x *ListIndexesRequest) GetPageSize() int32

func (*ListIndexesRequest) GetPageToken 

func (x *ListIndexesRequest) GetPageToken() string

func (*ListIndexesRequest) GetParent 

func (x *ListIndexesRequest) GetParent() string

func (*ListIndexesRequest) GetReadMask 

func (x *ListIndexesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListIndexesRequest) ProtoMessage 

func (*ListIndexesRequest) ProtoMessage()

func (*ListIndexesRequest) ProtoReflect 

func (x *ListIndexesRequest) ProtoReflect() protoreflect.Message

func (*ListIndexesRequest) Reset 

func (x *ListIndexesRequest) Reset()

func (*ListIndexesRequest) String 

func (x *ListIndexesRequest) String() string

type ListIndexesResponse 

type ListIndexesResponse struct {

	// List of indexes in the requested page.
	Indexes []*Index `protobuf:"bytes,1,rep,name=indexes,proto3" json:"indexes,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].

func (*ListIndexesResponse) Descriptor 

func (*ListIndexesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexesResponse.ProtoReflect.Descriptor instead.

func (*ListIndexesResponse) GetIndexes 

func (x *ListIndexesResponse) GetIndexes() []*Index

func (*ListIndexesResponse) GetNextPageToken 

func (x *ListIndexesResponse) GetNextPageToken() string

func (*ListIndexesResponse) ProtoMessage 

func (*ListIndexesResponse) ProtoMessage()

func (*ListIndexesResponse) ProtoReflect 

func (x *ListIndexesResponse) ProtoReflect() protoreflect.Message

func (*ListIndexesResponse) Reset 

func (x *ListIndexesResponse) Reset()

func (*ListIndexesResponse) String 

func (x *ListIndexesResponse) String() string

type ListMetadataSchemasRequest 

type ListMetadataSchemasRequest struct {

	// Required. The MetadataStore whose MetadataSchemas should be listed.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of MetadataSchemas to return. The service may return
	// fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
	// call. Provide this to retrieve the next page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A query to filter available MetadataSchemas for matching results.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].

func (*ListMetadataSchemasRequest) Descriptor 

func (*ListMetadataSchemasRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataSchemasRequest.ProtoReflect.Descriptor instead.

func (*ListMetadataSchemasRequest) GetFilter 

func (x *ListMetadataSchemasRequest) GetFilter() string

func (*ListMetadataSchemasRequest) GetPageSize 

func (x *ListMetadataSchemasRequest) GetPageSize() int32

func (*ListMetadataSchemasRequest) GetPageToken 

func (x *ListMetadataSchemasRequest) GetPageToken() string

func (*ListMetadataSchemasRequest) GetParent 

func (x *ListMetadataSchemasRequest) GetParent() string

func (*ListMetadataSchemasRequest) ProtoMessage 

func (*ListMetadataSchemasRequest) ProtoMessage()

func (*ListMetadataSchemasRequest) ProtoReflect 

func (x *ListMetadataSchemasRequest) ProtoReflect() protoreflect.Message

func (*ListMetadataSchemasRequest) Reset 

func (x *ListMetadataSchemasRequest) Reset()

func (*ListMetadataSchemasRequest) String 

func (x *ListMetadataSchemasRequest) String() string

type ListMetadataSchemasResponse 

type ListMetadataSchemasResponse struct {

	// The MetadataSchemas found for the MetadataStore.
	MetadataSchemas []*MetadataSchema `protobuf:"bytes,1,rep,name=metadata_schemas,json=metadataSchemas,proto3" json:"metadata_schemas,omitempty"`
	// A token, which can be sent as
	// [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
	// to retrieve the next page. If this field is not populated, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].

func (*ListMetadataSchemasResponse) Descriptor 

func (*ListMetadataSchemasResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataSchemasResponse.ProtoReflect.Descriptor instead.

func (*ListMetadataSchemasResponse) GetMetadataSchemas 

func (x *ListMetadataSchemasResponse) GetMetadataSchemas() []*MetadataSchema

func (*ListMetadataSchemasResponse) GetNextPageToken 

func (x *ListMetadataSchemasResponse) GetNextPageToken() string

func (*ListMetadataSchemasResponse) ProtoMessage 

func (*ListMetadataSchemasResponse) ProtoMessage()

func (*ListMetadataSchemasResponse) ProtoReflect 

func (x *ListMetadataSchemasResponse) ProtoReflect() protoreflect.Message

func (*ListMetadataSchemasResponse) Reset 

func (x *ListMetadataSchemasResponse) Reset()

func (*ListMetadataSchemasResponse) String 

func (x *ListMetadataSchemasResponse) String() string

type ListMetadataStoresRequest 

type ListMetadataStoresRequest struct {

	// Required. The Location whose MetadataStores should be listed.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Metadata Stores to return. The service may return
	// fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].

func (*ListMetadataStoresRequest) Descriptor 

func (*ListMetadataStoresRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataStoresRequest.ProtoReflect.Descriptor instead.

func (*ListMetadataStoresRequest) GetPageSize 

func (x *ListMetadataStoresRequest) GetPageSize() int32

func (*ListMetadataStoresRequest) GetPageToken 

func (x *ListMetadataStoresRequest) GetPageToken() string

func (*ListMetadataStoresRequest) GetParent 

func (x *ListMetadataStoresRequest) GetParent() string

func (*ListMetadataStoresRequest) ProtoMessage 

func (*ListMetadataStoresRequest) ProtoMessage()

func (*ListMetadataStoresRequest) ProtoReflect 

func (x *ListMetadataStoresRequest) ProtoReflect() protoreflect.Message

func (*ListMetadataStoresRequest) Reset 

func (x *ListMetadataStoresRequest) Reset()

func (*ListMetadataStoresRequest) String 

func (x *ListMetadataStoresRequest) String() string

type ListMetadataStoresResponse 

type ListMetadataStoresResponse struct {

	// The MetadataStores found for the Location.
	MetadataStores []*MetadataStore `protobuf:"bytes,1,rep,name=metadata_stores,json=metadataStores,proto3" json:"metadata_stores,omitempty"`
	// A token, which can be sent as
	// [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
	// to retrieve the next page. If this field is not populated, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].

func (*ListMetadataStoresResponse) Descriptor 

func (*ListMetadataStoresResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataStoresResponse.ProtoReflect.Descriptor instead.

func (*ListMetadataStoresResponse) GetMetadataStores 

func (x *ListMetadataStoresResponse) GetMetadataStores() []*MetadataStore

func (*ListMetadataStoresResponse) GetNextPageToken 

func (x *ListMetadataStoresResponse) GetNextPageToken() string

func (*ListMetadataStoresResponse) ProtoMessage 

func (*ListMetadataStoresResponse) ProtoMessage()

func (*ListMetadataStoresResponse) ProtoReflect 

func (x *ListMetadataStoresResponse) ProtoReflect() protoreflect.Message

func (*ListMetadataStoresResponse) Reset 

func (x *ListMetadataStoresResponse) Reset()

func (*ListMetadataStoresResponse) String 

func (x *ListMetadataStoresResponse) String() string

type ListModelDeploymentMonitoringJobsRequest 

type ListModelDeploymentMonitoringJobsRequest struct {

	// Required. The parent of the ModelDeploymentMonitoringJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   - `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `state` supports `=`, `!=` comparisons.
	//   - `create_time` supports `=`, `!=`,`<`, `<=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   - `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   - `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   - `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   - `NOT display_name="my_job"`
	//   - `create_time>"2021-05-18T00:00:00Z"`
	//   - `labels.keyA=valueA`
	//   - `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].

func (*ListModelDeploymentMonitoringJobsRequest) Descriptor 

func (*ListModelDeploymentMonitoringJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelDeploymentMonitoringJobsRequest.ProtoReflect.Descriptor instead.

func (*ListModelDeploymentMonitoringJobsRequest) GetFilter 

func (x *ListModelDeploymentMonitoringJobsRequest) GetFilter() string

func (*ListModelDeploymentMonitoringJobsRequest) GetPageSize 

func (x *ListModelDeploymentMonitoringJobsRequest) GetPageSize() int32

func (*ListModelDeploymentMonitoringJobsRequest) GetPageToken 

func (x *ListModelDeploymentMonitoringJobsRequest) GetPageToken() string

func (*ListModelDeploymentMonitoringJobsRequest) GetParent 

func (x *ListModelDeploymentMonitoringJobsRequest) GetParent() string

func (*ListModelDeploymentMonitoringJobsRequest) GetReadMask 

func (x *ListModelDeploymentMonitoringJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelDeploymentMonitoringJobsRequest) ProtoMessage 

func (*ListModelDeploymentMonitoringJobsRequest) ProtoMessage()

func (*ListModelDeploymentMonitoringJobsRequest) ProtoReflect 

func (x *ListModelDeploymentMonitoringJobsRequest) ProtoReflect() protoreflect.Message

func (*ListModelDeploymentMonitoringJobsRequest) Reset 

func (x *ListModelDeploymentMonitoringJobsRequest) Reset()

func (*ListModelDeploymentMonitoringJobsRequest) String 

func (x *ListModelDeploymentMonitoringJobsRequest) String() string

type ListModelDeploymentMonitoringJobsResponse 

type ListModelDeploymentMonitoringJobsResponse struct {

	// A list of ModelDeploymentMonitoringJobs that matches the specified filter
	// in the request.
	ModelDeploymentMonitoringJobs []*ModelDeploymentMonitoringJob `protobuf:"bytes,1,rep,name=model_deployment_monitoring_jobs,json=modelDeploymentMonitoringJobs,proto3" json:"model_deployment_monitoring_jobs,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].

func (*ListModelDeploymentMonitoringJobsResponse) Descriptor 

func (*ListModelDeploymentMonitoringJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelDeploymentMonitoringJobsResponse.ProtoReflect.Descriptor instead.

func (*ListModelDeploymentMonitoringJobsResponse) GetModelDeploymentMonitoringJobs 

func (x *ListModelDeploymentMonitoringJobsResponse) GetModelDeploymentMonitoringJobs() []*ModelDeploymentMonitoringJob

func (*ListModelDeploymentMonitoringJobsResponse) GetNextPageToken 

func (x *ListModelDeploymentMonitoringJobsResponse) GetNextPageToken() string

func (*ListModelDeploymentMonitoringJobsResponse) ProtoMessage 

func (*ListModelDeploymentMonitoringJobsResponse) ProtoMessage()

func (*ListModelDeploymentMonitoringJobsResponse) ProtoReflect 

func (x *ListModelDeploymentMonitoringJobsResponse) ProtoReflect() protoreflect.Message

func (*ListModelDeploymentMonitoringJobsResponse) Reset 

func (x *ListModelDeploymentMonitoringJobsResponse) Reset()

func (*ListModelDeploymentMonitoringJobsResponse) String 

func (x *ListModelDeploymentMonitoringJobsResponse) String() string

type ListModelEvaluationSlicesRequest 

type ListModelEvaluationSlicesRequest struct {

	// Required. The resource name of the ModelEvaluation to list the
	// ModelEvaluationSlices from. Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	//   - `slice.dimension` - for =.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
	// of the previous
	// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].

func (*ListModelEvaluationSlicesRequest) Descriptor 

func (*ListModelEvaluationSlicesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationSlicesRequest) GetFilter 

func (x *ListModelEvaluationSlicesRequest) GetFilter() string

func (*ListModelEvaluationSlicesRequest) GetPageSize 

func (x *ListModelEvaluationSlicesRequest) GetPageSize() int32

func (*ListModelEvaluationSlicesRequest) GetPageToken 

func (x *ListModelEvaluationSlicesRequest) GetPageToken() string

func (*ListModelEvaluationSlicesRequest) GetParent 

func (x *ListModelEvaluationSlicesRequest) GetParent() string

func (*ListModelEvaluationSlicesRequest) GetReadMask 

func (x *ListModelEvaluationSlicesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelEvaluationSlicesRequest) ProtoMessage 

func (*ListModelEvaluationSlicesRequest) ProtoMessage()

func (*ListModelEvaluationSlicesRequest) ProtoReflect 

func (x *ListModelEvaluationSlicesRequest) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationSlicesRequest) Reset 

func (x *ListModelEvaluationSlicesRequest) Reset()

func (*ListModelEvaluationSlicesRequest) String 

func (x *ListModelEvaluationSlicesRequest) String() string

type ListModelEvaluationSlicesResponse 

type ListModelEvaluationSlicesResponse struct {

	// List of ModelEvaluations in the requested page.
	ModelEvaluationSlices []*ModelEvaluationSlice `protobuf:"bytes,1,rep,name=model_evaluation_slices,json=modelEvaluationSlices,proto3" json:"model_evaluation_slices,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].

func (*ListModelEvaluationSlicesResponse) Descriptor 

func (*ListModelEvaluationSlicesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationSlicesResponse) GetModelEvaluationSlices 

func (x *ListModelEvaluationSlicesResponse) GetModelEvaluationSlices() []*ModelEvaluationSlice

func (*ListModelEvaluationSlicesResponse) GetNextPageToken 

func (x *ListModelEvaluationSlicesResponse) GetNextPageToken() string

func (*ListModelEvaluationSlicesResponse) ProtoMessage 

func (*ListModelEvaluationSlicesResponse) ProtoMessage()

func (*ListModelEvaluationSlicesResponse) ProtoReflect 

func (x *ListModelEvaluationSlicesResponse) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationSlicesResponse) Reset 

func (x *ListModelEvaluationSlicesResponse) Reset()

func (*ListModelEvaluationSlicesResponse) String 

func (x *ListModelEvaluationSlicesResponse) String() string

type ListModelEvaluationsRequest 

type ListModelEvaluationsRequest struct {

	// Required. The resource name of the Model to list the ModelEvaluations from.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
	// of the previous
	// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].

func (*ListModelEvaluationsRequest) Descriptor 

func (*ListModelEvaluationsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationsRequest.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationsRequest) GetFilter 

func (x *ListModelEvaluationsRequest) GetFilter() string

func (*ListModelEvaluationsRequest) GetPageSize 

func (x *ListModelEvaluationsRequest) GetPageSize() int32

func (*ListModelEvaluationsRequest) GetPageToken 

func (x *ListModelEvaluationsRequest) GetPageToken() string

func (*ListModelEvaluationsRequest) GetParent 

func (x *ListModelEvaluationsRequest) GetParent() string

func (*ListModelEvaluationsRequest) GetReadMask 

func (x *ListModelEvaluationsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelEvaluationsRequest) ProtoMessage 

func (*ListModelEvaluationsRequest) ProtoMessage()

func (*ListModelEvaluationsRequest) ProtoReflect 

func (x *ListModelEvaluationsRequest) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationsRequest) Reset 

func (x *ListModelEvaluationsRequest) Reset()

func (*ListModelEvaluationsRequest) String 

func (x *ListModelEvaluationsRequest) String() string

type ListModelEvaluationsResponse 

type ListModelEvaluationsResponse struct {

	// List of ModelEvaluations in the requested page.
	ModelEvaluations []*ModelEvaluation `protobuf:"bytes,1,rep,name=model_evaluations,json=modelEvaluations,proto3" json:"model_evaluations,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].

func (*ListModelEvaluationsResponse) Descriptor 

func (*ListModelEvaluationsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationsResponse.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationsResponse) GetModelEvaluations 

func (x *ListModelEvaluationsResponse) GetModelEvaluations() []*ModelEvaluation

func (*ListModelEvaluationsResponse) GetNextPageToken 

func (x *ListModelEvaluationsResponse) GetNextPageToken() string

func (*ListModelEvaluationsResponse) ProtoMessage 

func (*ListModelEvaluationsResponse) ProtoMessage()

func (*ListModelEvaluationsResponse) ProtoReflect 

func (x *ListModelEvaluationsResponse) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationsResponse) Reset 

func (x *ListModelEvaluationsResponse) Reset()

func (*ListModelEvaluationsResponse) String 

func (x *ListModelEvaluationsResponse) String() string

type ListModelVersionCheckpointsRequest 

type ListModelVersionCheckpointsRequest struct {

	// Required. The name of the model version to list checkpoints for.
	// `projects/{project}/locations/{location}/models/{model}@{version}`
	// Example: `projects/{project}/locations/{location}/models/{model}@2`
	// or
	// `projects/{project}/locations/{location}/models/{model}@golden`
	// If no version ID or alias is specified, the latest version will be
	// used.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [next_page_token][google.cloud.aiplatform.v1.ListModelVersionCheckpointsResponse.next_page_token]
	// of the previous
	// [ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints]
	// call.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints].

func (*ListModelVersionCheckpointsRequest) Descriptor 

func (*ListModelVersionCheckpointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelVersionCheckpointsRequest.ProtoReflect.Descriptor instead.

func (*ListModelVersionCheckpointsRequest) GetName 

func (x *ListModelVersionCheckpointsRequest) GetName() string

func (*ListModelVersionCheckpointsRequest) GetPageSize 

func (x *ListModelVersionCheckpointsRequest) GetPageSize() int32

func (*ListModelVersionCheckpointsRequest) GetPageToken 

func (x *ListModelVersionCheckpointsRequest) GetPageToken() string

func (*ListModelVersionCheckpointsRequest) ProtoMessage 

func (*ListModelVersionCheckpointsRequest) ProtoMessage()

func (*ListModelVersionCheckpointsRequest) ProtoReflect 

func (x *ListModelVersionCheckpointsRequest) ProtoReflect() protoreflect.Message

func (*ListModelVersionCheckpointsRequest) Reset 

func (x *ListModelVersionCheckpointsRequest) Reset()

func (*ListModelVersionCheckpointsRequest) String 

func (x *ListModelVersionCheckpointsRequest) String() string

type ListModelVersionCheckpointsResponse 

type ListModelVersionCheckpointsResponse struct {

	// List of Model Version checkpoints.
	Checkpoints []*ModelVersionCheckpoint `protobuf:"bytes,1,rep,name=checkpoints,proto3" json:"checkpoints,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListModelVersionCheckpointsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionCheckpointsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints]

func (*ListModelVersionCheckpointsResponse) Descriptor 

func (*ListModelVersionCheckpointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelVersionCheckpointsResponse.ProtoReflect.Descriptor instead.

func (*ListModelVersionCheckpointsResponse) GetCheckpoints 

func (x *ListModelVersionCheckpointsResponse) GetCheckpoints() []*ModelVersionCheckpoint

func (*ListModelVersionCheckpointsResponse) GetNextPageToken 

func (x *ListModelVersionCheckpointsResponse) GetNextPageToken() string

func (*ListModelVersionCheckpointsResponse) ProtoMessage 

func (*ListModelVersionCheckpointsResponse) ProtoMessage()

func (*ListModelVersionCheckpointsResponse) ProtoReflect 

func (x *ListModelVersionCheckpointsResponse) ProtoReflect() protoreflect.Message

func (*ListModelVersionCheckpointsResponse) Reset 

func (x *ListModelVersionCheckpointsResponse) Reset()

func (*ListModelVersionCheckpointsResponse) String 

func (x *ListModelVersionCheckpointsResponse) String() string

type ListModelVersionsRequest 

type ListModelVersionsRequest struct {

	// Required. The name of the model to list versions for.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
	// of the previous
	// [ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
	// call.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   - `labels` supports general map functions that is:
	//   - `labels.key=value` - key:value equality
	//   - `labels.key:* or labels:key - key existence
	//   - A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//
	//   - `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   - `create_time`
	//   - `update_time`
	//
	// Example: `update_time asc, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].

func (*ListModelVersionsRequest) Descriptor 

func (*ListModelVersionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelVersionsRequest.ProtoReflect.Descriptor instead.

func (*ListModelVersionsRequest) GetFilter 

func (x *ListModelVersionsRequest) GetFilter() string

func (*ListModelVersionsRequest) GetName 

func (x *ListModelVersionsRequest) GetName() string

func (*ListModelVersionsRequest) GetOrderBy 

func (x *ListModelVersionsRequest) GetOrderBy() string

func (*ListModelVersionsRequest) GetPageSize 

func (x *ListModelVersionsRequest) GetPageSize() int32

func (*ListModelVersionsRequest) GetPageToken 

func (x *ListModelVersionsRequest) GetPageToken() string

func (*ListModelVersionsRequest) GetReadMask 

func (x *ListModelVersionsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelVersionsRequest) ProtoMessage 

func (*ListModelVersionsRequest) ProtoMessage()

func (*ListModelVersionsRequest) ProtoReflect 

func (x *ListModelVersionsRequest) ProtoReflect() protoreflect.Message

func (*ListModelVersionsRequest) Reset 

func (x *ListModelVersionsRequest) Reset()

func (*ListModelVersionsRequest) String 

func (x *ListModelVersionsRequest) String() string

type ListModelVersionsResponse 

type ListModelVersionsResponse struct {

	// List of Model versions in the requested page.
	// In the returned Model name field, version ID instead of regvision tag will
	// be included.
	Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]

func (*ListModelVersionsResponse) Descriptor 

func (*ListModelVersionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelVersionsResponse.ProtoReflect.Descriptor instead.

func (*ListModelVersionsResponse) GetModels 

func (x *ListModelVersionsResponse) GetModels() []*Model

func (*ListModelVersionsResponse) GetNextPageToken 

func (x *ListModelVersionsResponse) GetNextPageToken() string

func (*ListModelVersionsResponse) ProtoMessage 

func (*ListModelVersionsResponse) ProtoMessage()

func (*ListModelVersionsResponse) ProtoReflect 

func (x *ListModelVersionsResponse) ProtoReflect() protoreflect.Message

func (*ListModelVersionsResponse) Reset 

func (x *ListModelVersionsResponse) Reset()

func (*ListModelVersionsResponse) String 

func (x *ListModelVersionsResponse) String() string

type ListModelsRequest 

type ListModelsRequest struct {

	// Required. The resource name of the Location to list the Models from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   - `model` supports = and !=. `model` represents the Model ID,
	//     i.e. the last segment of the Model's [resource
	//     name][google.cloud.aiplatform.v1.Model.name].
	//   - `display_name` supports = and !=
	//   - `labels` supports general map functions that is:
	//   - `labels.key=value` - key:value equality
	//   - `labels.key:* or labels:key - key existence
	//   - A key including a space must be quoted. `labels."a key"`.
	//   - `base_model_name` only supports =
	//
	// Some examples:
	//
	//   - `model=1234`
	//   - `displayName="myDisplayName"`
	//   - `labels.myKey="myValue"`
	//   - `baseModelName="text-bison"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
	// of the previous
	// [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   - `display_name`
	//   - `create_time`
	//   - `update_time`
	//
	// Example: `display_name, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].

func (*ListModelsRequest) Descriptor 

func (*ListModelsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelsRequest.ProtoReflect.Descriptor instead.

func (*ListModelsRequest) GetFilter 

func (x *ListModelsRequest) GetFilter() string

func (*ListModelsRequest) GetOrderBy 

func (x *ListModelsRequest) GetOrderBy() string

func (*ListModelsRequest) GetPageSize 

func (x *ListModelsRequest) GetPageSize() int32

func (*ListModelsRequest) GetPageToken 

func (x *ListModelsRequest) GetPageToken() string

func (*ListModelsRequest) GetParent 

func (x *ListModelsRequest) GetParent() string

func (*ListModelsRequest) GetReadMask 

func (x *ListModelsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelsRequest) ProtoMessage 

func (*ListModelsRequest) ProtoMessage()

func (*ListModelsRequest) ProtoReflect 

func (x *ListModelsRequest) ProtoReflect() protoreflect.Message

func (*ListModelsRequest) Reset 

func (x *ListModelsRequest) Reset()

func (*ListModelsRequest) String 

func (x *ListModelsRequest) String() string

type ListModelsResponse 

type ListModelsResponse struct {

	// List of Models in the requested page.
	Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]

func (*ListModelsResponse) Descriptor 

func (*ListModelsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelsResponse.ProtoReflect.Descriptor instead.

func (*ListModelsResponse) GetModels 

func (x *ListModelsResponse) GetModels() []*Model

func (*ListModelsResponse) GetNextPageToken 

func (x *ListModelsResponse) GetNextPageToken() string

func (*ListModelsResponse) ProtoMessage 

func (*ListModelsResponse) ProtoMessage()

func (*ListModelsResponse) ProtoReflect 

func (x *ListModelsResponse) ProtoReflect() protoreflect.Message

func (*ListModelsResponse) Reset 

func (x *ListModelsResponse) Reset()

func (*ListModelsResponse) String 

func (x *ListModelsResponse) String() string

type ListNasJobsRequest 

type ListNasJobsRequest struct {

	// Required. The resource name of the Location to list the NasJobs
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   - `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `state` supports `=`, `!=` comparisons.
	//   - `create_time` supports `=`, `!=`,`<`, `<=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   - `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   - `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   - `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   - `NOT display_name="my_job"`
	//   - `create_time>"2021-05-18T00:00:00Z"`
	//   - `labels.keyA=valueA`
	//   - `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListNasJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListNasJobsResponse.next_page_token]
	// of the previous
	// [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs].

func (*ListNasJobsRequest) Descriptor 

func (*ListNasJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListNasJobsRequest.ProtoReflect.Descriptor instead.

func (*ListNasJobsRequest) GetFilter 

func (x *ListNasJobsRequest) GetFilter() string

func (*ListNasJobsRequest) GetPageSize 

func (x *ListNasJobsRequest) GetPageSize() int32

func (*ListNasJobsRequest) GetPageToken 

func (x *ListNasJobsRequest) GetPageToken() string

func (*ListNasJobsRequest) GetParent 

func (x *ListNasJobsRequest) GetParent() string

func (*ListNasJobsRequest) GetReadMask 

func (x *ListNasJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListNasJobsRequest) ProtoMessage 

func (*ListNasJobsRequest) ProtoMessage()

func (*ListNasJobsRequest) ProtoReflect 

func (x *ListNasJobsRequest) ProtoReflect() protoreflect.Message

func (*ListNasJobsRequest) Reset 

func (x *ListNasJobsRequest) Reset()

func (*ListNasJobsRequest) String 

func (x *ListNasJobsRequest) String() string

type ListNasJobsResponse 

type ListNasJobsResponse struct {

	// List of NasJobs in the requested page.
	// [NasJob.nas_job_output][google.cloud.aiplatform.v1.NasJob.nas_job_output]
	// of the jobs will not be returned.
	NasJobs []*NasJob `protobuf:"bytes,1,rep,name=nas_jobs,json=nasJobs,proto3" json:"nas_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListNasJobsRequest.page_token][google.cloud.aiplatform.v1.ListNasJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]

func (*ListNasJobsResponse) Descriptor 

func (*ListNasJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListNasJobsResponse.ProtoReflect.Descriptor instead.

func (*ListNasJobsResponse) GetNasJobs 

func (x *ListNasJobsResponse) GetNasJobs() []*NasJob

func (*ListNasJobsResponse) GetNextPageToken 

func (x *ListNasJobsResponse) GetNextPageToken() string

func (*ListNasJobsResponse) ProtoMessage 

func (*ListNasJobsResponse) ProtoMessage()

func (*ListNasJobsResponse) ProtoReflect 

func (x *ListNasJobsResponse) ProtoReflect() protoreflect.Message

func (*ListNasJobsResponse) Reset 

func (x *ListNasJobsResponse) Reset()

func (*ListNasJobsResponse) String 

func (x *ListNasJobsResponse) String() string

type ListNasTrialDetailsRequest 

type ListNasTrialDetailsRequest struct {

	// Required. The name of the NasJob resource.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListNasTrialDetailsResponse.next_page_token][google.cloud.aiplatform.v1.ListNasTrialDetailsResponse.next_page_token]
	// of the previous
	// [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]
	// call.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails].

func (*ListNasTrialDetailsRequest) Descriptor 

func (*ListNasTrialDetailsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListNasTrialDetailsRequest.ProtoReflect.Descriptor instead.

func (*ListNasTrialDetailsRequest) GetPageSize 

func (x *ListNasTrialDetailsRequest) GetPageSize() int32

func (*ListNasTrialDetailsRequest) GetPageToken 

func (x *ListNasTrialDetailsRequest) GetPageToken() string

func (*ListNasTrialDetailsRequest) GetParent 

func (x *ListNasTrialDetailsRequest) GetParent() string

func (*ListNasTrialDetailsRequest) ProtoMessage 

func (*ListNasTrialDetailsRequest) ProtoMessage()

func (*ListNasTrialDetailsRequest) ProtoReflect 

func (x *ListNasTrialDetailsRequest) ProtoReflect() protoreflect.Message

func (*ListNasTrialDetailsRequest) Reset 

func (x *ListNasTrialDetailsRequest) Reset()

func (*ListNasTrialDetailsRequest) String 

func (x *ListNasTrialDetailsRequest) String() string

type ListNasTrialDetailsResponse 

type ListNasTrialDetailsResponse struct {

	// List of top NasTrials in the requested page.
	NasTrialDetails []*NasTrialDetail `protobuf:"bytes,1,rep,name=nas_trial_details,json=nasTrialDetails,proto3" json:"nas_trial_details,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListNasTrialDetailsRequest.page_token][google.cloud.aiplatform.v1.ListNasTrialDetailsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]

func (*ListNasTrialDetailsResponse) Descriptor 

func (*ListNasTrialDetailsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListNasTrialDetailsResponse.ProtoReflect.Descriptor instead.

func (*ListNasTrialDetailsResponse) GetNasTrialDetails 

func (x *ListNasTrialDetailsResponse) GetNasTrialDetails() []*NasTrialDetail

func (*ListNasTrialDetailsResponse) GetNextPageToken 

func (x *ListNasTrialDetailsResponse) GetNextPageToken() string

func (*ListNasTrialDetailsResponse) ProtoMessage 

func (*ListNasTrialDetailsResponse) ProtoMessage()

func (*ListNasTrialDetailsResponse) ProtoReflect 

func (x *ListNasTrialDetailsResponse) ProtoReflect() protoreflect.Message

func (*ListNasTrialDetailsResponse) Reset 

func (x *ListNasTrialDetailsResponse) Reset()

func (*ListNasTrialDetailsResponse) String 

func (x *ListNasTrialDetailsResponse) String() string

type ListNotebookExecutionJobsRequest 

type ListNotebookExecutionJobsRequest struct {

	// Required. The resource name of the Location from which to list the
	// NotebookExecutionJobs.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. An expression for filtering the results of the request. For field
	// names both snake_case and camelCase are supported.
	//
	//   - `notebookExecutionJob` supports = and !=. `notebookExecutionJob`
	//     represents the NotebookExecutionJob ID.
	//   - `displayName` supports = and != and regex.
	//   - `schedule` supports = and != and regex.
	//
	// Some examples:
	//   - `notebookExecutionJob="123"`
	//   - `notebookExecutionJob="my-execution-job"`
	//   - `displayName="myDisplayName"` and `displayName=~"myDisplayNameRegex"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListNotebookExecutionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListNotebookExecutionJobsResponse.next_page_token]
	// of the previous
	// [NotebookService.ListNotebookExecutionJobs][google.cloud.aiplatform.v1.NotebookService.ListNotebookExecutionJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. A comma-separated list of fields to order by, sorted in ascending
	// order. Use "desc" after a field name for descending. Supported fields:
	//
	//   - `display_name`
	//   - `create_time`
	//   - `update_time`
	//
	// Example: `display_name, create_time desc`.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Optional. The NotebookExecutionJob view. Defaults to BASIC.
	View NotebookExecutionJobView `protobuf:"varint,6,opt,name=view,proto3,enum=google.cloud.aiplatform.v1.NotebookExecutionJobView" json:"view,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.ListNotebookExecutionJobs]

func (*ListNotebookExecutionJobsRequest) Descriptor 

func (*ListNotebookExecutionJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListNotebookExecutionJobsRequest.ProtoReflect.Descriptor instead.

func (*ListNotebookExecutionJobsRequest) GetFilter 

func (x *ListNotebookExecutionJobsRequest) GetFilter() string

func (*ListNotebookExecutionJobsRequest) GetOrderBy 

func (x *ListNotebookExecutionJobsRequest) GetOrderBy() string

func (*ListNotebookExecutionJobsRequest) GetPageSize 

func (x *ListNotebookExecutionJobsRequest) GetPageSize() int32

func (*ListNotebookExecutionJobsRequest) GetPageToken 

func (x *ListNotebookExecutionJobsRequest) GetPageToken() string

func (*ListNotebookExecutionJobsRequest) GetParent 

func (x *ListNotebookExecutionJobsRequest) GetParent() string

func (*ListNotebookExecutionJobsRequest) GetView 

func (x *ListNotebookExecutionJobsRequest) GetView() NotebookExecutionJobView

func (*ListNotebookExecutionJobsRequest) ProtoMessage 

func (*ListNotebookExecutionJobsRequest) ProtoMessage()

func (*ListNotebookExecutionJobsRequest) ProtoReflect 

func (x *ListNotebookExecutionJobsRequest) ProtoReflect() protoreflect.Message

func (*ListNotebookExecutionJobsRequest) Reset 

func (x *ListNotebookExecutionJobsRequest) Reset()

func (*ListNotebookExecutionJobsRequest) String 

func (x *ListNotebookExecutionJobsRequest) String() string

type ListNotebookExecutionJobsResponse 

type ListNotebookExecutionJobsResponse struct {

	// List of NotebookExecutionJobs in the requested page.
	NotebookExecutionJobs []*NotebookExecutionJob `protobuf:"bytes,1,rep,name=notebook_execution_jobs,json=notebookExecutionJobs,proto3" json:"notebook_execution_jobs,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListNotebookExecutionJobsRequest.page_token][google.cloud.aiplatform.v1.ListNotebookExecutionJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [NotebookService.CreateNotebookExecutionJob]

func (*ListNotebookExecutionJobsResponse) Descriptor 

func (*ListNotebookExecutionJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListNotebookExecutionJobsResponse.ProtoReflect.Descriptor instead.

func (*ListNotebookExecutionJobsResponse) GetNextPageToken 

func (x *ListNotebookExecutionJobsResponse) GetNextPageToken() string

func (*ListNotebookExecutionJobsResponse) GetNotebookExecutionJobs 

func (x *ListNotebookExecutionJobsResponse) GetNotebookExecutionJobs() []*NotebookExecutionJob

func (*ListNotebookExecutionJobsResponse) ProtoMessage 

func (*ListNotebookExecutionJobsResponse) ProtoMessage()

func (*ListNotebookExecutionJobsResponse) ProtoReflect 

func (x *ListNotebookExecutionJobsResponse) ProtoReflect() protoreflect.Message

func (*ListNotebookExecutionJobsResponse) Reset 

func (x *ListNotebookExecutionJobsResponse) Reset()

func (*ListNotebookExecutionJobsResponse) String 

func (x *ListNotebookExecutionJobsResponse) String() string

type ListNotebookRuntimeTemplatesRequest 

type ListNotebookRuntimeTemplatesRequest struct {

	// Required. The resource name of the Location from which to list the
	// NotebookRuntimeTemplates.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. An expression for filtering the results of the request. For field
	// names both snake_case and camelCase are supported.
	//
	//   - `notebookRuntimeTemplate` supports = and !=. `notebookRuntimeTemplate`
	//     represents the NotebookRuntimeTemplate ID,
	//     i.e. the last segment of the NotebookRuntimeTemplate's [resource name]
	//     [google.cloud.aiplatform.v1.NotebookRuntimeTemplate.name].
	//   - `display_name` supports = and !=
	//   - `labels` supports general map functions that is:
	//   - `labels.key=value` - key:value equality
	//   - `labels.key:* or labels:key - key existence
	//   - A key including a space must be quoted. `labels."a key"`.
	//   - `notebookRuntimeType` supports = and !=. notebookRuntimeType enum:
	//     [USER_DEFINED, ONE_CLICK].
	//   - `machineType` supports = and !=.
	//   - `acceleratorType` supports = and !=.
	//
	// Some examples:
	//
	//   - `notebookRuntimeTemplate=notebookRuntimeTemplate123`
	//   - `displayName="myDisplayName"`
	//   - `labels.myKey="myValue"`
	//   - `notebookRuntimeType=USER_DEFINED`
	//   - `machineType=e2-standard-4`
	//   - `acceleratorType=NVIDIA_TESLA_T4`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListNotebookRuntimeTemplatesResponse.next_page_token][google.cloud.aiplatform.v1.ListNotebookRuntimeTemplatesResponse.next_page_token]
	// of the previous
	// [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// Optional. A comma-separated list of fields to order by, sorted in ascending
	// order. Use "desc" after a field name for descending. Supported fields:
	//
	//   - `display_name`
	//   - `create_time`
	//   - `update_time`
	//
	// Example: `display_name, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates].

func (*ListNotebookRuntimeTemplatesRequest) Descriptor 

func (*ListNotebookRuntimeTemplatesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListNotebookRuntimeTemplatesRequest.ProtoReflect.Descriptor instead.

func (*ListNotebookRuntimeTemplatesRequest) GetFilter 

func (x *ListNotebookRuntimeTemplatesRequest) GetFilter() string

func (*ListNotebookRuntimeTemplatesRequest) GetOrderBy 

func (x *ListNotebookRuntimeTemplatesRequest) GetOrderBy() string

func (*ListNotebookRuntimeTemplatesRequest) GetPageSize 

func (x *ListNotebookRuntimeTemplatesRequest) GetPageSize() int32

func (*ListNotebookRuntimeTemplatesRequest) GetPageToken 

func (x *ListNotebookRuntimeTemplatesRequest) GetPageToken() string

func (*ListNotebookRuntimeTemplatesRequest) GetParent 

func (x *ListNotebookRuntimeTemplatesRequest) GetParent() string

func (*ListNotebookRuntimeTemplatesRequest) GetReadMask 

func (x *ListNotebookRuntimeTemplatesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListNotebookRuntimeTemplatesRequest) ProtoMessage 

func (*ListNotebookRuntimeTemplatesRequest) ProtoMessage()

func (*ListNotebookRuntimeTemplatesRequest) ProtoReflect 

func (x *ListNotebookRuntimeTemplatesRequest) ProtoReflect() protoreflect.Message

func (*ListNotebookRuntimeTemplatesRequest) Reset 

func (x *ListNotebookRuntimeTemplatesRequest) Reset()

func (*ListNotebookRuntimeTemplatesRequest) String 

func (x *ListNotebookRuntimeTemplatesRequest) String() string

type ListNotebookRuntimeTemplatesResponse 

type ListNotebookRuntimeTemplatesResponse struct {

	// List of NotebookRuntimeTemplates in the requested page.
	NotebookRuntimeTemplates []*NotebookRuntimeTemplate `protobuf:"bytes,1,rep,name=notebook_runtime_templates,json=notebookRuntimeTemplates,proto3" json:"notebook_runtime_templates,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListNotebookRuntimeTemplatesRequest.page_token][google.cloud.aiplatform.v1.ListNotebookRuntimeTemplatesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates].

func (*ListNotebookRuntimeTemplatesResponse) Descriptor 

func (*ListNotebookRuntimeTemplatesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListNotebookRuntimeTemplatesResponse.ProtoReflect.Descriptor instead.

func (*ListNotebookRuntimeTemplatesResponse) GetNextPageToken 

func (x *ListNotebookRuntimeTemplatesResponse) GetNextPageToken() string

func (*ListNotebookRuntimeTemplatesResponse) GetNotebookRuntimeTemplates 

func (x *ListNotebookRuntimeTemplatesResponse) GetNotebookRuntimeTemplates() []*NotebookRuntimeTemplate

func (*ListNotebookRuntimeTemplatesResponse) ProtoMessage 

func (*ListNotebookRuntimeTemplatesResponse) ProtoMessage()

func (*ListNotebookRuntimeTemplatesResponse) ProtoReflect 

func (x *ListNotebookRuntimeTemplatesResponse) ProtoReflect() protoreflect.Message

func (*ListNotebookRuntimeTemplatesResponse) Reset 

func (x *ListNotebookRuntimeTemplatesResponse) Reset()

func (*ListNotebookRuntimeTemplatesResponse) String 

func (x *ListNotebookRuntimeTemplatesResponse) String() string

type ListNotebookRuntimesRequest 

type ListNotebookRuntimesRequest struct {

	// Required. The resource name of the Location from which to list the
	// NotebookRuntimes.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. An expression for filtering the results of the request. For field
	// names both snake_case and camelCase are supported.
	//
	//   - `notebookRuntime` supports = and !=. `notebookRuntime` represents the
	//     NotebookRuntime ID,
	//     i.e. the last segment of the NotebookRuntime's [resource name]
	//     [google.cloud.aiplatform.v1.NotebookRuntime.name].
	//   - `displayName` supports = and != and regex.
	//   - `notebookRuntimeTemplate` supports = and !=. `notebookRuntimeTemplate`
	//     represents the NotebookRuntimeTemplate ID,
	//     i.e. the last segment of the NotebookRuntimeTemplate's [resource name]
	//     [google.cloud.aiplatform.v1.NotebookRuntimeTemplate.name].
	//   - `healthState` supports = and !=. healthState enum: [HEALTHY, UNHEALTHY,
	//     HEALTH_STATE_UNSPECIFIED].
	//   - `runtimeState` supports = and !=. runtimeState enum:
	//     [RUNTIME_STATE_UNSPECIFIED, RUNNING, BEING_STARTED, BEING_STOPPED,
	//     STOPPED, BEING_UPGRADED, ERROR, INVALID].
	//   - `runtimeUser` supports = and !=.
	//   - API version is UI only: `uiState` supports = and !=. uiState enum:
	//     [UI_RESOURCE_STATE_UNSPECIFIED, UI_RESOURCE_STATE_BEING_CREATED,
	//     UI_RESOURCE_STATE_ACTIVE, UI_RESOURCE_STATE_BEING_DELETED,
	//     UI_RESOURCE_STATE_CREATION_FAILED].
	//   - `notebookRuntimeType` supports = and !=. notebookRuntimeType enum:
	//     [USER_DEFINED, ONE_CLICK].
	//   - `machineType` supports = and !=.
	//   - `acceleratorType` supports = and !=.
	//
	// Some examples:
	//
	//   - `notebookRuntime="notebookRuntime123"`
	//   - `displayName="myDisplayName"` and `displayName=~"myDisplayNameRegex"`
	//   - `notebookRuntimeTemplate="notebookRuntimeTemplate321"`
	//   - `healthState=HEALTHY`
	//   - `runtimeState=RUNNING`
	//   - `runtimeUser="test@google.com"`
	//   - `uiState=UI_RESOURCE_STATE_BEING_DELETED`
	//   - `notebookRuntimeType=USER_DEFINED`
	//   - `machineType=e2-standard-4`
	//   - `acceleratorType=NVIDIA_TESLA_T4`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListNotebookRuntimesResponse.next_page_token][google.cloud.aiplatform.v1.ListNotebookRuntimesResponse.next_page_token]
	// of the previous
	// [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// Optional. A comma-separated list of fields to order by, sorted in ascending
	// order. Use "desc" after a field name for descending. Supported fields:
	//
	//   - `display_name`
	//   - `create_time`
	//   - `update_time`
	//
	// Example: `display_name, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes].

func (*ListNotebookRuntimesRequest) Descriptor 

func (*ListNotebookRuntimesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListNotebookRuntimesRequest.ProtoReflect.Descriptor instead.

func (*ListNotebookRuntimesRequest) GetFilter 

func (x *ListNotebookRuntimesRequest) GetFilter() string

func (*ListNotebookRuntimesRequest) GetOrderBy 

func (x *ListNotebookRuntimesRequest) GetOrderBy() string

func (*ListNotebookRuntimesRequest) GetPageSize 

func (x *ListNotebookRuntimesRequest) GetPageSize() int32

func (*ListNotebookRuntimesRequest) GetPageToken 

func (x *ListNotebookRuntimesRequest) GetPageToken() string

func (*ListNotebookRuntimesRequest) GetParent 

func (x *ListNotebookRuntimesRequest) GetParent() string

func (*ListNotebookRuntimesRequest) GetReadMask 

func (x *ListNotebookRuntimesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListNotebookRuntimesRequest) ProtoMessage 

func (*ListNotebookRuntimesRequest) ProtoMessage()

func (*ListNotebookRuntimesRequest) ProtoReflect 

func (x *ListNotebookRuntimesRequest) ProtoReflect() protoreflect.Message

func (*ListNotebookRuntimesRequest) Reset 

func (x *ListNotebookRuntimesRequest) Reset()

func (*ListNotebookRuntimesRequest) String 

func (x *ListNotebookRuntimesRequest) String() string

type ListNotebookRuntimesResponse 

type ListNotebookRuntimesResponse struct {

	// List of NotebookRuntimes in the requested page.
	NotebookRuntimes []*NotebookRuntime `protobuf:"bytes,1,rep,name=notebook_runtimes,json=notebookRuntimes,proto3" json:"notebook_runtimes,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListNotebookRuntimesRequest.page_token][google.cloud.aiplatform.v1.ListNotebookRuntimesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes].

func (*ListNotebookRuntimesResponse) Descriptor 

func (*ListNotebookRuntimesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListNotebookRuntimesResponse.ProtoReflect.Descriptor instead.

func (*ListNotebookRuntimesResponse) GetNextPageToken 

func (x *ListNotebookRuntimesResponse) GetNextPageToken() string

func (*ListNotebookRuntimesResponse) GetNotebookRuntimes 

func (x *ListNotebookRuntimesResponse) GetNotebookRuntimes() []*NotebookRuntime

func (*ListNotebookRuntimesResponse) ProtoMessage 

func (*ListNotebookRuntimesResponse) ProtoMessage()

func (*ListNotebookRuntimesResponse) ProtoReflect 

func (x *ListNotebookRuntimesResponse) ProtoReflect() protoreflect.Message

func (*ListNotebookRuntimesResponse) Reset 

func (x *ListNotebookRuntimesResponse) Reset()

func (*ListNotebookRuntimesResponse) String 

func (x *ListNotebookRuntimesResponse) String() string

type ListOptimalTrialsRequest 

type ListOptimalTrialsRequest struct {

	// Required. The name of the Study that the optimal Trial belongs to.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].

func (*ListOptimalTrialsRequest) Descriptor 

func (*ListOptimalTrialsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListOptimalTrialsRequest.ProtoReflect.Descriptor instead.

func (*ListOptimalTrialsRequest) GetParent 

func (x *ListOptimalTrialsRequest) GetParent() string

func (*ListOptimalTrialsRequest) ProtoMessage 

func (*ListOptimalTrialsRequest) ProtoMessage()

func (*ListOptimalTrialsRequest) ProtoReflect 

func (x *ListOptimalTrialsRequest) ProtoReflect() protoreflect.Message

func (*ListOptimalTrialsRequest) Reset 

func (x *ListOptimalTrialsRequest) Reset()

func (*ListOptimalTrialsRequest) String 

func (x *ListOptimalTrialsRequest) String() string

type ListOptimalTrialsResponse 

type ListOptimalTrialsResponse struct {

	// The pareto-optimal Trials for multiple objective Study or the
	// optimal trial for single objective Study. The definition of
	// pareto-optimal can be checked in wiki page.
	// https://en.wikipedia.org/wiki/Pareto_efficiency
	OptimalTrials []*Trial `protobuf:"bytes,1,rep,name=optimal_trials,json=optimalTrials,proto3" json:"optimal_trials,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].

func (*ListOptimalTrialsResponse) Descriptor 

func (*ListOptimalTrialsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListOptimalTrialsResponse.ProtoReflect.Descriptor instead.

func (*ListOptimalTrialsResponse) GetOptimalTrials 

func (x *ListOptimalTrialsResponse) GetOptimalTrials() []*Trial

func (*ListOptimalTrialsResponse) ProtoMessage 

func (*ListOptimalTrialsResponse) ProtoMessage()

func (*ListOptimalTrialsResponse) ProtoReflect 

func (x *ListOptimalTrialsResponse) ProtoReflect() protoreflect.Message

func (*ListOptimalTrialsResponse) Reset 

func (x *ListOptimalTrialsResponse) Reset()

func (*ListOptimalTrialsResponse) String 

func (x *ListOptimalTrialsResponse) String() string

type ListPersistentResourcesRequest 

type ListPersistentResourcesRequest struct {

	// Required. The resource name of the Location to list the PersistentResources
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListPersistentResourcesResponse.next_page_token][google.cloud.aiplatform.v1.ListPersistentResourcesResponse.next_page_token]
	// of the previous [PersistentResourceService.ListPersistentResource][] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources].

func (*ListPersistentResourcesRequest) Descriptor 

func (*ListPersistentResourcesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListPersistentResourcesRequest.ProtoReflect.Descriptor instead.

func (*ListPersistentResourcesRequest) GetPageSize 

func (x *ListPersistentResourcesRequest) GetPageSize() int32

func (*ListPersistentResourcesRequest) GetPageToken 

func (x *ListPersistentResourcesRequest) GetPageToken() string

func (*ListPersistentResourcesRequest) GetParent 

func (x *ListPersistentResourcesRequest) GetParent() string

func (*ListPersistentResourcesRequest) ProtoMessage 

func (*ListPersistentResourcesRequest) ProtoMessage()

func (*ListPersistentResourcesRequest) ProtoReflect 

func (x *ListPersistentResourcesRequest) ProtoReflect() protoreflect.Message

func (*ListPersistentResourcesRequest) Reset 

func (x *ListPersistentResourcesRequest) Reset()

func (*ListPersistentResourcesRequest) String 

func (x *ListPersistentResourcesRequest) String() string

type ListPersistentResourcesResponse 

type ListPersistentResourcesResponse struct {
	PersistentResources []*PersistentResource `protobuf:"bytes,1,rep,name=persistent_resources,json=persistentResources,proto3" json:"persistent_resources,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListPersistentResourcesRequest.page_token][google.cloud.aiplatform.v1.ListPersistentResourcesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources]

func (*ListPersistentResourcesResponse) Descriptor 

func (*ListPersistentResourcesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListPersistentResourcesResponse.ProtoReflect.Descriptor instead.

func (*ListPersistentResourcesResponse) GetNextPageToken 

func (x *ListPersistentResourcesResponse) GetNextPageToken() string

func (*ListPersistentResourcesResponse) GetPersistentResources 

func (x *ListPersistentResourcesResponse) GetPersistentResources() []*PersistentResource

func (*ListPersistentResourcesResponse) ProtoMessage 

func (*ListPersistentResourcesResponse) ProtoMessage()

func (*ListPersistentResourcesResponse) ProtoReflect 

func (x *ListPersistentResourcesResponse) ProtoReflect() protoreflect.Message

func (*ListPersistentResourcesResponse) Reset 

func (x *ListPersistentResourcesResponse) Reset()

func (*ListPersistentResourcesResponse) String 

func (x *ListPersistentResourcesResponse) String() string

type ListPipelineJobsRequest 

type ListPipelineJobsRequest struct {

	// Required. The resource name of the Location to list the PipelineJobs from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the PipelineJobs that match the filter expression. The following
	// fields are supported:
	//
	//   - `pipeline_name`: Supports `=` and `!=` comparisons.
	//   - `display_name`: Supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `pipeline_job_user_id`: Supports `=`, `!=` comparisons, and `:` wildcard.
	//     for example, can check if pipeline's display_name contains *step* by
	//     doing display_name:\"*step*\"
	//   - `state`: Supports `=` and `!=` comparisons.
	//   - `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	//     Values must be in RFC 3339 format.
	//   - `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	//     Values must be in RFC 3339 format.
	//   - `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	//     Values must be in RFC 3339 format.
	//   - `labels`: Supports key-value equality and key presence.
	//   - `template_uri`: Supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `template_metadata.version`: Supports `=`, `!=` comparisons, and `:`
	//     wildcard.
	//
	// Filter expressions can be combined together using logical operators
	// (`AND` & `OR`).
	// For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
	//
	// The syntax to define filter expression is based on
	// https://google.aip.dev/160.
	//
	// Examples:
	//
	//   - `create_time>"2021-05-18T00:00:00Z" OR
	//     update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
	//     after 2020-05-18 00:00:00 UTC.
	//   - `labels.env = "prod"`
	//     PipelineJobs with label "env" set to "prod".
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
	// of the previous
	// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by. The default sort order is in
	// ascending order. Use "desc" after a field name for descending. You can have
	// multiple order_by fields provided e.g. "create_time desc, end_time",
	// "end_time, start_time, update_time" For example, using "create_time desc,
	// end_time" will order results by create time in descending order, and if
	// there are multiple jobs having the same create time, order them by the end
	// time in ascending order. if order_by is not specified, it will order by
	// default order is create time in descending order. Supported fields:
	//
	//   - `create_time`
	//   - `update_time`
	//   - `end_time`
	//   - `start_time`
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,7,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].

func (*ListPipelineJobsRequest) Descriptor 

func (*ListPipelineJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListPipelineJobsRequest.ProtoReflect.Descriptor instead.

func (*ListPipelineJobsRequest) GetFilter 

func (x *ListPipelineJobsRequest) GetFilter() string

func (*ListPipelineJobsRequest) GetOrderBy 

func (x *ListPipelineJobsRequest) GetOrderBy() string

func (*ListPipelineJobsRequest) GetPageSize 

func (x *ListPipelineJobsRequest) GetPageSize() int32

func (*ListPipelineJobsRequest) GetPageToken 

func (x *ListPipelineJobsRequest) GetPageToken() string

func (*ListPipelineJobsRequest) GetParent 

func (x *ListPipelineJobsRequest) GetParent() string

func (*ListPipelineJobsRequest) GetReadMask 

func (x *ListPipelineJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListPipelineJobsRequest) ProtoMessage 

func (*ListPipelineJobsRequest) ProtoMessage()

func (*ListPipelineJobsRequest) ProtoReflect 

func (x *ListPipelineJobsRequest) ProtoReflect() protoreflect.Message

func (*ListPipelineJobsRequest) Reset 

func (x *ListPipelineJobsRequest) Reset()

func (*ListPipelineJobsRequest) String 

func (x *ListPipelineJobsRequest) String() string

type ListPipelineJobsResponse 

type ListPipelineJobsResponse struct {

	// List of PipelineJobs in the requested page.
	PipelineJobs []*PipelineJob `protobuf:"bytes,1,rep,name=pipeline_jobs,json=pipelineJobs,proto3" json:"pipeline_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]

func (*ListPipelineJobsResponse) Descriptor 

func (*ListPipelineJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListPipelineJobsResponse.ProtoReflect.Descriptor instead.

func (*ListPipelineJobsResponse) GetNextPageToken 

func (x *ListPipelineJobsResponse) GetNextPageToken() string

func (*ListPipelineJobsResponse) GetPipelineJobs 

func (x *ListPipelineJobsResponse) GetPipelineJobs() []*PipelineJob

func (*ListPipelineJobsResponse) ProtoMessage 

func (*ListPipelineJobsResponse) ProtoMessage()

func (*ListPipelineJobsResponse) ProtoReflect 

func (x *ListPipelineJobsResponse) ProtoReflect() protoreflect.Message

func (*ListPipelineJobsResponse) Reset 

func (x *ListPipelineJobsResponse) Reset()

func (*ListPipelineJobsResponse) String 

func (x *ListPipelineJobsResponse) String() string

type ListRagCorporaRequest 

type ListRagCorporaRequest struct {

	// Required. The resource name of the Location from which to list the
	// RagCorpora. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListRagCorporaResponse.next_page_token][google.cloud.aiplatform.v1.ListRagCorporaResponse.next_page_token]
	// of the previous
	// [VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1.VertexRagDataService.ListRagCorpora]
	// call.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1.VertexRagDataService.ListRagCorpora].

func (*ListRagCorporaRequest) Descriptor 

func (*ListRagCorporaRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListRagCorporaRequest.ProtoReflect.Descriptor instead.

func (*ListRagCorporaRequest) GetPageSize 

func (x *ListRagCorporaRequest) GetPageSize() int32

func (*ListRagCorporaRequest) GetPageToken 

func (x *ListRagCorporaRequest) GetPageToken() string

func (*ListRagCorporaRequest) GetParent 

func (x *ListRagCorporaRequest) GetParent() string

func (*ListRagCorporaRequest) ProtoMessage 

func (*ListRagCorporaRequest) ProtoMessage()

func (*ListRagCorporaRequest) ProtoReflect 

func (x *ListRagCorporaRequest) ProtoReflect() protoreflect.Message

func (*ListRagCorporaRequest) Reset 

func (x *ListRagCorporaRequest) Reset()

func (*ListRagCorporaRequest) String 

func (x *ListRagCorporaRequest) String() string

type ListRagCorporaResponse 

type ListRagCorporaResponse struct {

	// List of RagCorpora in the requested page.
	RagCorpora []*RagCorpus `protobuf:"bytes,1,rep,name=rag_corpora,json=ragCorpora,proto3" json:"rag_corpora,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListRagCorporaRequest.page_token][google.cloud.aiplatform.v1.ListRagCorporaRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1.VertexRagDataService.ListRagCorpora].

func (*ListRagCorporaResponse) Descriptor 

func (*ListRagCorporaResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListRagCorporaResponse.ProtoReflect.Descriptor instead.

func (*ListRagCorporaResponse) GetNextPageToken 

func (x *ListRagCorporaResponse) GetNextPageToken() string

func (*ListRagCorporaResponse) GetRagCorpora 

func (x *ListRagCorporaResponse) GetRagCorpora() []*RagCorpus

func (*ListRagCorporaResponse) ProtoMessage 

func (*ListRagCorporaResponse) ProtoMessage()

func (*ListRagCorporaResponse) ProtoReflect 

func (x *ListRagCorporaResponse) ProtoReflect() protoreflect.Message

func (*ListRagCorporaResponse) Reset 

func (x *ListRagCorporaResponse) Reset()

func (*ListRagCorporaResponse) String 

func (x *ListRagCorporaResponse) String() string

type ListRagFilesRequest 

type ListRagFilesRequest struct {

	// Required. The resource name of the RagCorpus from which to list the
	// RagFiles. Format:
	// `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListRagFilesResponse.next_page_token][google.cloud.aiplatform.v1.ListRagFilesResponse.next_page_token]
	// of the previous
	// [VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ListRagFiles]
	// call.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ListRagFiles].

func (*ListRagFilesRequest) Descriptor 

func (*ListRagFilesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListRagFilesRequest.ProtoReflect.Descriptor instead.

func (*ListRagFilesRequest) GetPageSize 

func (x *ListRagFilesRequest) GetPageSize() int32

func (*ListRagFilesRequest) GetPageToken 

func (x *ListRagFilesRequest) GetPageToken() string

func (*ListRagFilesRequest) GetParent 

func (x *ListRagFilesRequest) GetParent() string

func (*ListRagFilesRequest) ProtoMessage 

func (*ListRagFilesRequest) ProtoMessage()

func (*ListRagFilesRequest) ProtoReflect 

func (x *ListRagFilesRequest) ProtoReflect() protoreflect.Message

func (*ListRagFilesRequest) Reset 

func (x *ListRagFilesRequest) Reset()

func (*ListRagFilesRequest) String 

func (x *ListRagFilesRequest) String() string

type ListRagFilesResponse 

type ListRagFilesResponse struct {

	// List of RagFiles in the requested page.
	RagFiles []*RagFile `protobuf:"bytes,1,rep,name=rag_files,json=ragFiles,proto3" json:"rag_files,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListRagFilesRequest.page_token][google.cloud.aiplatform.v1.ListRagFilesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ListRagFiles].

func (*ListRagFilesResponse) Descriptor 

func (*ListRagFilesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListRagFilesResponse.ProtoReflect.Descriptor instead.

func (*ListRagFilesResponse) GetNextPageToken 

func (x *ListRagFilesResponse) GetNextPageToken() string

func (*ListRagFilesResponse) GetRagFiles 

func (x *ListRagFilesResponse) GetRagFiles() []*RagFile

func (*ListRagFilesResponse) ProtoMessage 

func (*ListRagFilesResponse) ProtoMessage()

func (*ListRagFilesResponse) ProtoReflect 

func (x *ListRagFilesResponse) ProtoReflect() protoreflect.Message

func (*ListRagFilesResponse) Reset 

func (x *ListRagFilesResponse) Reset()

func (*ListRagFilesResponse) String 

func (x *ListRagFilesResponse) String() string

type ListReasoningEnginesRequest 

type ListReasoningEnginesRequest struct {

	// Required. The resource name of the Location to list the ReasoningEngines
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The standard list filter.
	// More detail in [AIP-160](https://google.aip.dev/160).
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1.ReasoningEngineService.ListReasoningEngines].

func (*ListReasoningEnginesRequest) Descriptor 

func (*ListReasoningEnginesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListReasoningEnginesRequest.ProtoReflect.Descriptor instead.

func (*ListReasoningEnginesRequest) GetFilter 

func (x *ListReasoningEnginesRequest) GetFilter() string

func (*ListReasoningEnginesRequest) GetPageSize 

func (x *ListReasoningEnginesRequest) GetPageSize() int32

func (*ListReasoningEnginesRequest) GetPageToken 

func (x *ListReasoningEnginesRequest) GetPageToken() string

func (*ListReasoningEnginesRequest) GetParent 

func (x *ListReasoningEnginesRequest) GetParent() string

func (*ListReasoningEnginesRequest) ProtoMessage 

func (*ListReasoningEnginesRequest) ProtoMessage()

func (*ListReasoningEnginesRequest) ProtoReflect 

func (x *ListReasoningEnginesRequest) ProtoReflect() protoreflect.Message

func (*ListReasoningEnginesRequest) Reset 

func (x *ListReasoningEnginesRequest) Reset()

func (*ListReasoningEnginesRequest) String 

func (x *ListReasoningEnginesRequest) String() string

type ListReasoningEnginesResponse 

type ListReasoningEnginesResponse struct {

	// List of ReasoningEngines in the requested page.
	ReasoningEngines []*ReasoningEngine `protobuf:"bytes,1,rep,name=reasoning_engines,json=reasoningEngines,proto3" json:"reasoning_engines,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListReasoningEnginesRequest.page_token][google.cloud.aiplatform.v1.ListReasoningEnginesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1.ReasoningEngineService.ListReasoningEngines]

func (*ListReasoningEnginesResponse) Descriptor 

func (*ListReasoningEnginesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListReasoningEnginesResponse.ProtoReflect.Descriptor instead.

func (*ListReasoningEnginesResponse) GetNextPageToken 

func (x *ListReasoningEnginesResponse) GetNextPageToken() string

func (*ListReasoningEnginesResponse) GetReasoningEngines 

func (x *ListReasoningEnginesResponse) GetReasoningEngines() []*ReasoningEngine

func (*ListReasoningEnginesResponse) ProtoMessage 

func (*ListReasoningEnginesResponse) ProtoMessage()

func (*ListReasoningEnginesResponse) ProtoReflect 

func (x *ListReasoningEnginesResponse) ProtoReflect() protoreflect.Message

func (*ListReasoningEnginesResponse) Reset 

func (x *ListReasoningEnginesResponse) Reset()

func (*ListReasoningEnginesResponse) String 

func (x *ListReasoningEnginesResponse) String() string

type ListSavedQueriesRequest 

type ListSavedQueriesRequest struct {

	// Required. The resource name of the Dataset to list SavedQueries from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].

func (*ListSavedQueriesRequest) Descriptor 

func (*ListSavedQueriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListSavedQueriesRequest.ProtoReflect.Descriptor instead.

func (*ListSavedQueriesRequest) GetFilter 

func (x *ListSavedQueriesRequest) GetFilter() string

func (*ListSavedQueriesRequest) GetOrderBy 

func (x *ListSavedQueriesRequest) GetOrderBy() string

func (*ListSavedQueriesRequest) GetPageSize 

func (x *ListSavedQueriesRequest) GetPageSize() int32

func (*ListSavedQueriesRequest) GetPageToken 

func (x *ListSavedQueriesRequest) GetPageToken() string

func (*ListSavedQueriesRequest) GetParent 

func (x *ListSavedQueriesRequest) GetParent() string

func (*ListSavedQueriesRequest) GetReadMask 

func (x *ListSavedQueriesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListSavedQueriesRequest) ProtoMessage 

func (*ListSavedQueriesRequest) ProtoMessage()

func (*ListSavedQueriesRequest) ProtoReflect 

func (x *ListSavedQueriesRequest) ProtoReflect() protoreflect.Message

func (*ListSavedQueriesRequest) Reset 

func (x *ListSavedQueriesRequest) Reset()

func (*ListSavedQueriesRequest) String 

func (x *ListSavedQueriesRequest) String() string

type ListSavedQueriesResponse 

type ListSavedQueriesResponse struct {

	// A list of SavedQueries that match the specified filter in the request.
	SavedQueries []*SavedQuery `protobuf:"bytes,1,rep,name=saved_queries,json=savedQueries,proto3" json:"saved_queries,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].

func (*ListSavedQueriesResponse) Descriptor 

func (*ListSavedQueriesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListSavedQueriesResponse.ProtoReflect.Descriptor instead.

func (*ListSavedQueriesResponse) GetNextPageToken 

func (x *ListSavedQueriesResponse) GetNextPageToken() string

func (*ListSavedQueriesResponse) GetSavedQueries 

func (x *ListSavedQueriesResponse) GetSavedQueries() []*SavedQuery

func (*ListSavedQueriesResponse) ProtoMessage 

func (*ListSavedQueriesResponse) ProtoMessage()

func (*ListSavedQueriesResponse) ProtoReflect 

func (x *ListSavedQueriesResponse) ProtoReflect() protoreflect.Message

func (*ListSavedQueriesResponse) Reset 

func (x *ListSavedQueriesResponse) Reset()

func (*ListSavedQueriesResponse) String 

func (x *ListSavedQueriesResponse) String() string

type ListSchedulesRequest 

type ListSchedulesRequest struct {

	// Required. The resource name of the Location to list the Schedules from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the Schedules that match the filter expression. The following
	// fields are supported:
	//
	//   - `display_name`: Supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `state`: Supports `=` and `!=` comparisons.
	//   - `request`: Supports existence of the <request_type> check.
	//     (e.g. `create_pipeline_job_request:*` --> Schedule has
	//     create_pipeline_job_request).
	//   - `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	//     Values must be in RFC 3339 format.
	//   - `start_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons.
	//     Values must be in RFC 3339 format.
	//   - `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, `>=` comparisons and `:*`
	//     existence check. Values must be in RFC 3339 format.
	//   - `next_run_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=`
	//     comparisons. Values must be in RFC 3339 format.
	//
	// Filter expressions can be combined together using logical operators
	// (`NOT`, `AND` & `OR`).
	// The syntax to define filter expression is based on
	// https://google.aip.dev/160.
	//
	// Examples:
	//
	// * `state="ACTIVE" AND display_name:"my_schedule_*"`
	// * `NOT display_name="my_schedule"`
	// * `create_time>"2021-05-18T00:00:00Z"`
	// * `end_time>"2021-05-18T00:00:00Z" OR NOT end_time:*`
	// * `create_pipeline_job_request:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	// Default to 100 if not specified.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListSchedulesResponse.next_page_token][google.cloud.aiplatform.v1.ListSchedulesResponse.next_page_token]
	// of the previous
	// [ScheduleService.ListSchedules][google.cloud.aiplatform.v1.ScheduleService.ListSchedules]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by. The default sort order is in
	// ascending order. Use "desc" after a field name for descending. You can have
	// multiple order_by fields provided.
	//
	// For example, using "create_time desc, end_time" will order results by
	// create time in descending order, and if there are multiple schedules having
	// the same create time, order them by the end time in ascending order.
	//
	// If order_by is not specified, it will order by default with create_time in
	// descending order.
	//
	// Supported fields:
	//
	//   - `create_time`
	//   - `start_time`
	//   - `end_time`
	//   - `next_run_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ScheduleService.ListSchedules][google.cloud.aiplatform.v1.ScheduleService.ListSchedules].

func (*ListSchedulesRequest) Descriptor 

func (*ListSchedulesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListSchedulesRequest.ProtoReflect.Descriptor instead.

func (*ListSchedulesRequest) GetFilter 

func (x *ListSchedulesRequest) GetFilter() string

func (*ListSchedulesRequest) GetOrderBy 

func (x *ListSchedulesRequest) GetOrderBy() string

func (*ListSchedulesRequest) GetPageSize 

func (x *ListSchedulesRequest) GetPageSize() int32

func (*ListSchedulesRequest) GetPageToken 

func (x *ListSchedulesRequest) GetPageToken() string

func (*ListSchedulesRequest) GetParent 

func (x *ListSchedulesRequest) GetParent() string

func (*ListSchedulesRequest) ProtoMessage 

func (*ListSchedulesRequest) ProtoMessage()

func (*ListSchedulesRequest) ProtoReflect 

func (x *ListSchedulesRequest) ProtoReflect() protoreflect.Message

func (*ListSchedulesRequest) Reset 

func (x *ListSchedulesRequest) Reset()

func (*ListSchedulesRequest) String 

func (x *ListSchedulesRequest) String() string

type ListSchedulesResponse 

type ListSchedulesResponse struct {

	// List of Schedules in the requested page.
	Schedules []*Schedule `protobuf:"bytes,1,rep,name=schedules,proto3" json:"schedules,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListSchedulesRequest.page_token][google.cloud.aiplatform.v1.ListSchedulesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ScheduleService.ListSchedules][google.cloud.aiplatform.v1.ScheduleService.ListSchedules]

func (*ListSchedulesResponse) Descriptor 

func (*ListSchedulesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListSchedulesResponse.ProtoReflect.Descriptor instead.

func (*ListSchedulesResponse) GetNextPageToken 

func (x *ListSchedulesResponse) GetNextPageToken() string

func (*ListSchedulesResponse) GetSchedules 

func (x *ListSchedulesResponse) GetSchedules() []*Schedule

func (*ListSchedulesResponse) ProtoMessage 

func (*ListSchedulesResponse) ProtoMessage()

func (*ListSchedulesResponse) ProtoReflect 

func (x *ListSchedulesResponse) ProtoReflect() protoreflect.Message

func (*ListSchedulesResponse) Reset 

func (x *ListSchedulesResponse) Reset()

func (*ListSchedulesResponse) String 

func (x *ListSchedulesResponse) String() string

type ListSpecialistPoolsRequest 

type ListSpecialistPoolsRequest struct {

	// Required. The name of the SpecialistPool's parent resource.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained by
	// [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
	// of the previous
	// [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
	// call. Return first page if empty.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read. FieldMask represents a set of
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,4,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].

func (*ListSpecialistPoolsRequest) Descriptor 

func (*ListSpecialistPoolsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListSpecialistPoolsRequest.ProtoReflect.Descriptor instead.

func (*ListSpecialistPoolsRequest) GetPageSize 

func (x *ListSpecialistPoolsRequest) GetPageSize() int32

func (*ListSpecialistPoolsRequest) GetPageToken 

func (x *ListSpecialistPoolsRequest) GetPageToken() string

func (*ListSpecialistPoolsRequest) GetParent 

func (x *ListSpecialistPoolsRequest) GetParent() string

func (*ListSpecialistPoolsRequest) GetReadMask 

func (x *ListSpecialistPoolsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListSpecialistPoolsRequest) ProtoMessage 

func (*ListSpecialistPoolsRequest) ProtoMessage()

func (*ListSpecialistPoolsRequest) ProtoReflect 

func (x *ListSpecialistPoolsRequest) ProtoReflect() protoreflect.Message

func (*ListSpecialistPoolsRequest) Reset 

func (x *ListSpecialistPoolsRequest) Reset()

func (*ListSpecialistPoolsRequest) String 

func (x *ListSpecialistPoolsRequest) String() string

type ListSpecialistPoolsResponse 

type ListSpecialistPoolsResponse struct {

	// A list of SpecialistPools that matches the specified filter in the request.
	SpecialistPools []*SpecialistPool `protobuf:"bytes,1,rep,name=specialist_pools,json=specialistPools,proto3" json:"specialist_pools,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].

func (*ListSpecialistPoolsResponse) Descriptor 

func (*ListSpecialistPoolsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListSpecialistPoolsResponse.ProtoReflect.Descriptor instead.

func (*ListSpecialistPoolsResponse) GetNextPageToken 

func (x *ListSpecialistPoolsResponse) GetNextPageToken() string

func (*ListSpecialistPoolsResponse) GetSpecialistPools 

func (x *ListSpecialistPoolsResponse) GetSpecialistPools() []*SpecialistPool

func (*ListSpecialistPoolsResponse) ProtoMessage 

func (*ListSpecialistPoolsResponse) ProtoMessage()

func (*ListSpecialistPoolsResponse) ProtoReflect 

func (x *ListSpecialistPoolsResponse) ProtoReflect() protoreflect.Message

func (*ListSpecialistPoolsResponse) Reset 

func (x *ListSpecialistPoolsResponse) Reset()

func (*ListSpecialistPoolsResponse) String 

func (x *ListSpecialistPoolsResponse) String() string

type ListStudiesRequest 

type ListStudiesRequest struct {

	// Required. The resource name of the Location to list the Study from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. A page token to request the next page of results.
	// If unspecified, there are no subsequent pages.
	PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. The maximum number of studies to return per "page" of results.
	// If unspecified, service will pick an appropriate default.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].

func (*ListStudiesRequest) Descriptor 

func (*ListStudiesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListStudiesRequest.ProtoReflect.Descriptor instead.

func (*ListStudiesRequest) GetPageSize 

func (x *ListStudiesRequest) GetPageSize() int32

func (*ListStudiesRequest) GetPageToken 

func (x *ListStudiesRequest) GetPageToken() string

func (*ListStudiesRequest) GetParent 

func (x *ListStudiesRequest) GetParent() string

func (*ListStudiesRequest) ProtoMessage 

func (*ListStudiesRequest) ProtoMessage()

func (*ListStudiesRequest) ProtoReflect 

func (x *ListStudiesRequest) ProtoReflect() protoreflect.Message

func (*ListStudiesRequest) Reset 

func (x *ListStudiesRequest) Reset()

func (*ListStudiesRequest) String 

func (x *ListStudiesRequest) String() string

type ListStudiesResponse 

type ListStudiesResponse struct {

	// The studies associated with the project.
	Studies []*Study `protobuf:"bytes,1,rep,name=studies,proto3" json:"studies,omitempty"`
	// Passes this token as the `page_token` field of the request for a
	// subsequent call.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].

func (*ListStudiesResponse) Descriptor 

func (*ListStudiesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListStudiesResponse.ProtoReflect.Descriptor instead.

func (*ListStudiesResponse) GetNextPageToken 

func (x *ListStudiesResponse) GetNextPageToken() string

func (*ListStudiesResponse) GetStudies 

func (x *ListStudiesResponse) GetStudies() []*Study

func (*ListStudiesResponse) ProtoMessage 

func (*ListStudiesResponse) ProtoMessage()

func (*ListStudiesResponse) ProtoReflect 

func (x *ListStudiesResponse) ProtoReflect() protoreflect.Message

func (*ListStudiesResponse) Reset 

func (x *ListStudiesResponse) Reset()

func (*ListStudiesResponse) String 

func (x *ListStudiesResponse) String() string

type ListTensorboardExperimentsRequest 

type ListTensorboardExperimentsRequest struct {

	// Required. The resource name of the Tensorboard to list
	// TensorboardExperiments. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the TensorboardExperiments that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of TensorboardExperiments to return. The service may
	// return fewer than this value. If unspecified, at most 50
	// TensorboardExperiments are returned. The maximum value is 1000; values
	// above 1000 are coerced to 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].

func (*ListTensorboardExperimentsRequest) Descriptor 

func (*ListTensorboardExperimentsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardExperimentsRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardExperimentsRequest) GetFilter 

func (x *ListTensorboardExperimentsRequest) GetFilter() string

func (*ListTensorboardExperimentsRequest) GetOrderBy 

func (x *ListTensorboardExperimentsRequest) GetOrderBy() string

func (*ListTensorboardExperimentsRequest) GetPageSize 

func (x *ListTensorboardExperimentsRequest) GetPageSize() int32

func (*ListTensorboardExperimentsRequest) GetPageToken 

func (x *ListTensorboardExperimentsRequest) GetPageToken() string

func (*ListTensorboardExperimentsRequest) GetParent 

func (x *ListTensorboardExperimentsRequest) GetParent() string

func (*ListTensorboardExperimentsRequest) GetReadMask 

func (x *ListTensorboardExperimentsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardExperimentsRequest) ProtoMessage 

func (*ListTensorboardExperimentsRequest) ProtoMessage()

func (*ListTensorboardExperimentsRequest) ProtoReflect 

func (x *ListTensorboardExperimentsRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardExperimentsRequest) Reset 

func (x *ListTensorboardExperimentsRequest) Reset()

func (*ListTensorboardExperimentsRequest) String 

func (x *ListTensorboardExperimentsRequest) String() string

type ListTensorboardExperimentsResponse 

type ListTensorboardExperimentsResponse struct {

	// The TensorboardExperiments mathching the request.
	TensorboardExperiments []*TensorboardExperiment `protobuf:"bytes,1,rep,name=tensorboard_experiments,json=tensorboardExperiments,proto3" json:"tensorboard_experiments,omitempty"`
	// A token, which can be sent as
	// [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].

func (*ListTensorboardExperimentsResponse) Descriptor 

func (*ListTensorboardExperimentsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardExperimentsResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardExperimentsResponse) GetNextPageToken 

func (x *ListTensorboardExperimentsResponse) GetNextPageToken() string

func (*ListTensorboardExperimentsResponse) GetTensorboardExperiments 

func (x *ListTensorboardExperimentsResponse) GetTensorboardExperiments() []*TensorboardExperiment

func (*ListTensorboardExperimentsResponse) ProtoMessage 

func (*ListTensorboardExperimentsResponse) ProtoMessage()

func (*ListTensorboardExperimentsResponse) ProtoReflect 

func (x *ListTensorboardExperimentsResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardExperimentsResponse) Reset 

func (x *ListTensorboardExperimentsResponse) Reset()

func (*ListTensorboardExperimentsResponse) String 

func (x *ListTensorboardExperimentsResponse) String() string

type ListTensorboardRunsRequest 

type ListTensorboardRunsRequest struct {

	// Required. The resource name of the TensorboardExperiment to list
	// TensorboardRuns. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the TensorboardRuns that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of TensorboardRuns to return. The service may return
	// fewer than this value. If unspecified, at most 50 TensorboardRuns are
	// returned. The maximum value is 1000; values above 1000 are coerced to
	// 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].

func (*ListTensorboardRunsRequest) Descriptor 

func (*ListTensorboardRunsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardRunsRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardRunsRequest) GetFilter 

func (x *ListTensorboardRunsRequest) GetFilter() string

func (*ListTensorboardRunsRequest) GetOrderBy 

func (x *ListTensorboardRunsRequest) GetOrderBy() string

func (*ListTensorboardRunsRequest) GetPageSize 

func (x *ListTensorboardRunsRequest) GetPageSize() int32

func (*ListTensorboardRunsRequest) GetPageToken 

func (x *ListTensorboardRunsRequest) GetPageToken() string

func (*ListTensorboardRunsRequest) GetParent 

func (x *ListTensorboardRunsRequest) GetParent() string

func (*ListTensorboardRunsRequest) GetReadMask 

func (x *ListTensorboardRunsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardRunsRequest) ProtoMessage 

func (*ListTensorboardRunsRequest) ProtoMessage()

func (*ListTensorboardRunsRequest) ProtoReflect 

func (x *ListTensorboardRunsRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardRunsRequest) Reset 

func (x *ListTensorboardRunsRequest) Reset()

func (*ListTensorboardRunsRequest) String 

func (x *ListTensorboardRunsRequest) String() string

type ListTensorboardRunsResponse 

type ListTensorboardRunsResponse struct {

	// The TensorboardRuns mathching the request.
	TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
	// A token, which can be sent as
	// [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].

func (*ListTensorboardRunsResponse) Descriptor 

func (*ListTensorboardRunsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardRunsResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardRunsResponse) GetNextPageToken 

func (x *ListTensorboardRunsResponse) GetNextPageToken() string

func (*ListTensorboardRunsResponse) GetTensorboardRuns 

func (x *ListTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun

func (*ListTensorboardRunsResponse) ProtoMessage 

func (*ListTensorboardRunsResponse) ProtoMessage()

func (*ListTensorboardRunsResponse) ProtoReflect 

func (x *ListTensorboardRunsResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardRunsResponse) Reset 

func (x *ListTensorboardRunsResponse) Reset()

func (*ListTensorboardRunsResponse) String 

func (x *ListTensorboardRunsResponse) String() string

type ListTensorboardTimeSeriesRequest 

type ListTensorboardTimeSeriesRequest struct {

	// Required. The resource name of the TensorboardRun to list
	// TensorboardTimeSeries. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the TensorboardTimeSeries that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of TensorboardTimeSeries to return. The service may
	// return fewer than this value. If unspecified, at most 50
	// TensorboardTimeSeries are returned. The maximum value is 1000; values
	// above 1000 are coerced to 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].

func (*ListTensorboardTimeSeriesRequest) Descriptor 

func (*ListTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardTimeSeriesRequest) GetFilter 

func (x *ListTensorboardTimeSeriesRequest) GetFilter() string

func (*ListTensorboardTimeSeriesRequest) GetOrderBy 

func (x *ListTensorboardTimeSeriesRequest) GetOrderBy() string

func (*ListTensorboardTimeSeriesRequest) GetPageSize 

func (x *ListTensorboardTimeSeriesRequest) GetPageSize() int32

func (*ListTensorboardTimeSeriesRequest) GetPageToken 

func (x *ListTensorboardTimeSeriesRequest) GetPageToken() string

func (*ListTensorboardTimeSeriesRequest) GetParent 

func (x *ListTensorboardTimeSeriesRequest) GetParent() string

func (*ListTensorboardTimeSeriesRequest) GetReadMask 

func (x *ListTensorboardTimeSeriesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardTimeSeriesRequest) ProtoMessage 

func (*ListTensorboardTimeSeriesRequest) ProtoMessage()

func (*ListTensorboardTimeSeriesRequest) ProtoReflect 

func (x *ListTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardTimeSeriesRequest) Reset 

func (x *ListTensorboardTimeSeriesRequest) Reset()

func (*ListTensorboardTimeSeriesRequest) String 

func (x *ListTensorboardTimeSeriesRequest) String() string

type ListTensorboardTimeSeriesResponse 

type ListTensorboardTimeSeriesResponse struct {

	// The TensorboardTimeSeries mathching the request.
	TensorboardTimeSeries []*TensorboardTimeSeries `protobuf:"bytes,1,rep,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// A token, which can be sent as
	// [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].

func (*ListTensorboardTimeSeriesResponse) Descriptor 

func (*ListTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardTimeSeriesResponse) GetNextPageToken 

func (x *ListTensorboardTimeSeriesResponse) GetNextPageToken() string

func (*ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries 

func (x *ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries

func (*ListTensorboardTimeSeriesResponse) ProtoMessage 

func (*ListTensorboardTimeSeriesResponse) ProtoMessage()

func (*ListTensorboardTimeSeriesResponse) ProtoReflect 

func (x *ListTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardTimeSeriesResponse) Reset 

func (x *ListTensorboardTimeSeriesResponse) Reset()

func (*ListTensorboardTimeSeriesResponse) String 

func (x *ListTensorboardTimeSeriesResponse) String() string

type ListTensorboardsRequest 

type ListTensorboardsRequest struct {

	// Required. The resource name of the Location to list Tensorboards.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the Tensorboards that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of Tensorboards to return. The service may return
	// fewer than this value. If unspecified, at most 100 Tensorboards are
	// returned. The maximum value is 100; values above 100 are coerced to
	// 100.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].

func (*ListTensorboardsRequest) Descriptor 

func (*ListTensorboardsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardsRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardsRequest) GetFilter 

func (x *ListTensorboardsRequest) GetFilter() string

func (*ListTensorboardsRequest) GetOrderBy 

func (x *ListTensorboardsRequest) GetOrderBy() string

func (*ListTensorboardsRequest) GetPageSize 

func (x *ListTensorboardsRequest) GetPageSize() int32

func (*ListTensorboardsRequest) GetPageToken 

func (x *ListTensorboardsRequest) GetPageToken() string

func (*ListTensorboardsRequest) GetParent 

func (x *ListTensorboardsRequest) GetParent() string

func (*ListTensorboardsRequest) GetReadMask 

func (x *ListTensorboardsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardsRequest) ProtoMessage 

func (*ListTensorboardsRequest) ProtoMessage()

func (*ListTensorboardsRequest) ProtoReflect 

func (x *ListTensorboardsRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardsRequest) Reset 

func (x *ListTensorboardsRequest) Reset()

func (*ListTensorboardsRequest) String 

func (x *ListTensorboardsRequest) String() string

type ListTensorboardsResponse 

type ListTensorboardsResponse struct {

	// The Tensorboards mathching the request.
	Tensorboards []*Tensorboard `protobuf:"bytes,1,rep,name=tensorboards,proto3" json:"tensorboards,omitempty"`
	// A token, which can be sent as
	// [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].

func (*ListTensorboardsResponse) Descriptor 

func (*ListTensorboardsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardsResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardsResponse) GetNextPageToken 

func (x *ListTensorboardsResponse) GetNextPageToken() string

func (*ListTensorboardsResponse) GetTensorboards 

func (x *ListTensorboardsResponse) GetTensorboards() []*Tensorboard

func (*ListTensorboardsResponse) ProtoMessage 

func (*ListTensorboardsResponse) ProtoMessage()

func (*ListTensorboardsResponse) ProtoReflect 

func (x *ListTensorboardsResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardsResponse) Reset 

func (x *ListTensorboardsResponse) Reset()

func (*ListTensorboardsResponse) String 

func (x *ListTensorboardsResponse) String() string

type ListTrainingPipelinesRequest 

type ListTrainingPipelinesRequest struct {

	// Required. The resource name of the Location to list the TrainingPipelines
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   - `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   - `state` supports `=`, `!=` comparisons.
	//   - `training_task_definition` `=`, `!=` comparisons, and `:` wildcard.
	//   - `create_time` supports `=`, `!=`,`<`, `<=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   - `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   - `state="PIPELINE_STATE_SUCCEEDED" AND display_name:"my_pipeline_*"`
	//   - `state!="PIPELINE_STATE_FAILED" OR display_name="my_pipeline"`
	//   - `NOT display_name="my_pipeline"`
	//   - `create_time>"2021-05-18T00:00:00Z"`
	//   - `training_task_definition:"*automl_text_classification*"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
	// of the previous
	// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].

func (*ListTrainingPipelinesRequest) Descriptor 

func (*ListTrainingPipelinesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTrainingPipelinesRequest.ProtoReflect.Descriptor instead.

func (*ListTrainingPipelinesRequest) GetFilter 

func (x *ListTrainingPipelinesRequest) GetFilter() string

func (*ListTrainingPipelinesRequest) GetPageSize 

func (x *ListTrainingPipelinesRequest) GetPageSize() int32

func (*ListTrainingPipelinesRequest) GetPageToken 

func (x *ListTrainingPipelinesRequest) GetPageToken() string

func (*ListTrainingPipelinesRequest) GetParent 

func (x *ListTrainingPipelinesRequest) GetParent() string

func (*ListTrainingPipelinesRequest) GetReadMask 

func (x *ListTrainingPipelinesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTrainingPipelinesRequest) ProtoMessage 

func (*ListTrainingPipelinesRequest) ProtoMessage()

func (*ListTrainingPipelinesRequest) ProtoReflect 

func (x *ListTrainingPipelinesRequest) ProtoReflect() protoreflect.Message

func (*ListTrainingPipelinesRequest) Reset 

func (x *ListTrainingPipelinesRequest) Reset()

func (*ListTrainingPipelinesRequest) String 

func (x *ListTrainingPipelinesRequest) String() string

type ListTrainingPipelinesResponse 

type ListTrainingPipelinesResponse struct {

	// List of TrainingPipelines in the requested page.
	TrainingPipelines []*TrainingPipeline `protobuf:"bytes,1,rep,name=training_pipelines,json=trainingPipelines,proto3" json:"training_pipelines,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]

func (*ListTrainingPipelinesResponse) Descriptor 

func (*ListTrainingPipelinesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTrainingPipelinesResponse.ProtoReflect.Descriptor instead.

func (*ListTrainingPipelinesResponse) GetNextPageToken 

func (x *ListTrainingPipelinesResponse) GetNextPageToken() string

func (*ListTrainingPipelinesResponse) GetTrainingPipelines 

func (x *ListTrainingPipelinesResponse) GetTrainingPipelines() []*TrainingPipeline

func (*ListTrainingPipelinesResponse) ProtoMessage 

func (*ListTrainingPipelinesResponse) ProtoMessage()

func (*ListTrainingPipelinesResponse) ProtoReflect 

func (x *ListTrainingPipelinesResponse) ProtoReflect() protoreflect.Message

func (*ListTrainingPipelinesResponse) Reset 

func (x *ListTrainingPipelinesResponse) Reset()

func (*ListTrainingPipelinesResponse) String 

func (x *ListTrainingPipelinesResponse) String() string

type ListTrialsRequest 

type ListTrialsRequest struct {

	// Required. The resource name of the Study to list the Trial from.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. A page token to request the next page of results.
	// If unspecified, there are no subsequent pages.
	PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. The number of Trials to retrieve per "page" of results.
	// If unspecified, the service will pick an appropriate default.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].

func (*ListTrialsRequest) Descriptor 

func (*ListTrialsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTrialsRequest.ProtoReflect.Descriptor instead.

func (*ListTrialsRequest) GetPageSize 

func (x *ListTrialsRequest) GetPageSize() int32

func (*ListTrialsRequest) GetPageToken 

func (x *ListTrialsRequest) GetPageToken() string

func (*ListTrialsRequest) GetParent 

func (x *ListTrialsRequest) GetParent() string

func (*ListTrialsRequest) ProtoMessage 

func (*ListTrialsRequest) ProtoMessage()

func (*ListTrialsRequest) ProtoReflect 

func (x *ListTrialsRequest) ProtoReflect() protoreflect.Message

func (*ListTrialsRequest) Reset 

func (x *ListTrialsRequest) Reset()

func (*ListTrialsRequest) String 

func (x *ListTrialsRequest) String() string

type ListTrialsResponse 

type ListTrialsResponse struct {

	// The Trials associated with the Study.
	Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"`
	// Pass this token as the `page_token` field of the request for a
	// subsequent call.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].

func (*ListTrialsResponse) Descriptor 

func (*ListTrialsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTrialsResponse.ProtoReflect.Descriptor instead.

func (*ListTrialsResponse) GetNextPageToken 

func (x *ListTrialsResponse) GetNextPageToken() string

func (*ListTrialsResponse) GetTrials 

func (x *ListTrialsResponse) GetTrials() []*Trial

func (*ListTrialsResponse) ProtoMessage 

func (*ListTrialsResponse) ProtoMessage()

func (*ListTrialsResponse) ProtoReflect 

func (x *ListTrialsResponse) ProtoReflect() protoreflect.Message

func (*ListTrialsResponse) Reset 

func (x *ListTrialsResponse) Reset()

func (*ListTrialsResponse) String 

func (x *ListTrialsResponse) String() string

type ListTuningJobsRequest 

type ListTuningJobsRequest struct {

	// Required. The resource name of the Location to list the TuningJobs from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListTuningJobsResponse.next_page_token]
	// of the previous GenAiTuningService.ListTuningJob][] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs].

func (*ListTuningJobsRequest) Descriptor 

func (*ListTuningJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTuningJobsRequest.ProtoReflect.Descriptor instead.

func (*ListTuningJobsRequest) GetFilter 

func (x *ListTuningJobsRequest) GetFilter() string

func (*ListTuningJobsRequest) GetPageSize 

func (x *ListTuningJobsRequest) GetPageSize() int32

func (*ListTuningJobsRequest) GetPageToken 

func (x *ListTuningJobsRequest) GetPageToken() string

func (*ListTuningJobsRequest) GetParent 

func (x *ListTuningJobsRequest) GetParent() string

func (*ListTuningJobsRequest) ProtoMessage 

func (*ListTuningJobsRequest) ProtoMessage()

func (*ListTuningJobsRequest) ProtoReflect 

func (x *ListTuningJobsRequest) ProtoReflect() protoreflect.Message

func (*ListTuningJobsRequest) Reset 

func (x *ListTuningJobsRequest) Reset()

func (*ListTuningJobsRequest) String 

func (x *ListTuningJobsRequest) String() string

type ListTuningJobsResponse 

type ListTuningJobsResponse struct {

	// List of TuningJobs in the requested page.
	TuningJobs []*TuningJob `protobuf:"bytes,1,rep,name=tuning_jobs,json=tuningJobs,proto3" json:"tuning_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListTuningJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs]

func (*ListTuningJobsResponse) Descriptor 

func (*ListTuningJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTuningJobsResponse.ProtoReflect.Descriptor instead.

func (*ListTuningJobsResponse) GetNextPageToken 

func (x *ListTuningJobsResponse) GetNextPageToken() string

func (*ListTuningJobsResponse) GetTuningJobs 

func (x *ListTuningJobsResponse) GetTuningJobs() []*TuningJob

func (*ListTuningJobsResponse) ProtoMessage 

func (*ListTuningJobsResponse) ProtoMessage()

func (*ListTuningJobsResponse) ProtoReflect 

func (x *ListTuningJobsResponse) ProtoReflect() protoreflect.Message

func (*ListTuningJobsResponse) Reset 

func (x *ListTuningJobsResponse) Reset()

func (*ListTuningJobsResponse) String 

func (x *ListTuningJobsResponse) String() string

type LlmUtilityServiceClient 

type LlmUtilityServiceClient interface {
	// Perform a token counting.
	CountTokens(ctx context.Context, in *CountTokensRequest, opts ...grpc.CallOption) (*CountTokensResponse, error)
	// Return a list of tokens based on the input text.
	ComputeTokens(ctx context.Context, in *ComputeTokensRequest, opts ...grpc.CallOption) (*ComputeTokensResponse, error)
}

LlmUtilityServiceClient is the client API for LlmUtilityService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewLlmUtilityServiceClient 

func NewLlmUtilityServiceClient(cc grpc.ClientConnInterface) LlmUtilityServiceClient

type LlmUtilityServiceServer 

type LlmUtilityServiceServer interface {
	// Perform a token counting.
	CountTokens(context.Context, *CountTokensRequest) (*CountTokensResponse, error)
	// Return a list of tokens based on the input text.
	ComputeTokens(context.Context, *ComputeTokensRequest) (*ComputeTokensResponse, error)
}

LlmUtilityServiceServer is the server API for LlmUtilityService service.

type LogprobsResult 

type LogprobsResult struct {

	// Length = total number of decoding steps.
	TopCandidates []*LogprobsResult_TopCandidates `protobuf:"bytes,1,rep,name=top_candidates,json=topCandidates,proto3" json:"top_candidates,omitempty"`
	// Length = total number of decoding steps.
	// The chosen candidates may or may not be in top_candidates.
	ChosenCandidates []*LogprobsResult_Candidate `protobuf:"bytes,2,rep,name=chosen_candidates,json=chosenCandidates,proto3" json:"chosen_candidates,omitempty"`
	// contains filtered or unexported fields
}

Logprobs Result

func (*LogprobsResult) Descriptor 

func (*LogprobsResult) Descriptor() ([]byte, []int)

Deprecated: Use LogprobsResult.ProtoReflect.Descriptor instead.

func (*LogprobsResult) GetChosenCandidates 

func (x *LogprobsResult) GetChosenCandidates() []*LogprobsResult_Candidate

func (*LogprobsResult) GetTopCandidates 

func (x *LogprobsResult) GetTopCandidates() []*LogprobsResult_TopCandidates

func (*LogprobsResult) ProtoMessage 

func (*LogprobsResult) ProtoMessage()

func (*LogprobsResult) ProtoReflect 

func (x *LogprobsResult) ProtoReflect() protoreflect.Message

func (*LogprobsResult) Reset 

func (x *LogprobsResult) Reset()

func (*LogprobsResult) String 

func (x *LogprobsResult) String() string

type LogprobsResult_Candidate 

type LogprobsResult_Candidate struct {

	// The candidate’s token string value.
	Token *string `protobuf:"bytes,1,opt,name=token,proto3,oneof" json:"token,omitempty"`
	// The candidate’s token id value.
	TokenId *int32 `protobuf:"varint,3,opt,name=token_id,json=tokenId,proto3,oneof" json:"token_id,omitempty"`
	// The candidate's log probability.
	LogProbability *float32 `protobuf:"fixed32,2,opt,name=log_probability,json=logProbability,proto3,oneof" json:"log_probability,omitempty"`
	// contains filtered or unexported fields
}

Candidate for the logprobs token and score.

func (*LogprobsResult_Candidate) Descriptor 

func (*LogprobsResult_Candidate) Descriptor() ([]byte, []int)

Deprecated: Use LogprobsResult_Candidate.ProtoReflect.Descriptor instead.

func (*LogprobsResult_Candidate) GetLogProbability 

func (x *LogprobsResult_Candidate) GetLogProbability() float32

func (*LogprobsResult_Candidate) GetToken 

func (x *LogprobsResult_Candidate) GetToken() string

func (*LogprobsResult_Candidate) GetTokenId 

func (x *LogprobsResult_Candidate) GetTokenId() int32

func (*LogprobsResult_Candidate) ProtoMessage 

func (*LogprobsResult_Candidate) ProtoMessage()

func (*LogprobsResult_Candidate) ProtoReflect 

func (x *LogprobsResult_Candidate) ProtoReflect() protoreflect.Message

func (*LogprobsResult_Candidate) Reset 

func (x *LogprobsResult_Candidate) Reset()

func (*LogprobsResult_Candidate) String 

func (x *LogprobsResult_Candidate) String() string

type LogprobsResult_TopCandidates 

type LogprobsResult_TopCandidates struct {

	// Sorted by log probability in descending order.
	Candidates []*LogprobsResult_Candidate `protobuf:"bytes,1,rep,name=candidates,proto3" json:"candidates,omitempty"`
	// contains filtered or unexported fields
}

Candidates with top log probabilities at each decoding step.

func (*LogprobsResult_TopCandidates) Descriptor 

func (*LogprobsResult_TopCandidates) Descriptor() ([]byte, []int)

Deprecated: Use LogprobsResult_TopCandidates.ProtoReflect.Descriptor instead.

func (*LogprobsResult_TopCandidates) GetCandidates 

func (x *LogprobsResult_TopCandidates) GetCandidates() []*LogprobsResult_Candidate

func (*LogprobsResult_TopCandidates) ProtoMessage 

func (*LogprobsResult_TopCandidates) ProtoMessage()

func (*LogprobsResult_TopCandidates) ProtoReflect 

func (x *LogprobsResult_TopCandidates) ProtoReflect() protoreflect.Message

func (*LogprobsResult_TopCandidates) Reset 

func (x *LogprobsResult_TopCandidates) Reset()

func (*LogprobsResult_TopCandidates) String 

func (x *LogprobsResult_TopCandidates) String() string

type LookupStudyRequest 

type LookupStudyRequest struct {

	// Required. The resource name of the Location to get the Study from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The user-defined display name of the Study
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].

func (*LookupStudyRequest) Descriptor 

func (*LookupStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use LookupStudyRequest.ProtoReflect.Descriptor instead.

func (*LookupStudyRequest) GetDisplayName 

func (x *LookupStudyRequest) GetDisplayName() string

func (*LookupStudyRequest) GetParent 

func (x *LookupStudyRequest) GetParent() string

func (*LookupStudyRequest) ProtoMessage 

func (*LookupStudyRequest) ProtoMessage()

func (*LookupStudyRequest) ProtoReflect 

func (x *LookupStudyRequest) ProtoReflect() protoreflect.Message

func (*LookupStudyRequest) Reset 

func (x *LookupStudyRequest) Reset()

func (*LookupStudyRequest) String 

func (x *LookupStudyRequest) String() string

type MachineSpec 

type MachineSpec struct {

	// Immutable. The type of the machine.
	//
	// See the [list of machine types supported for
	// prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
	//
	// See the [list of machine types supported for custom
	// training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
	//
	// For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
	// optional, and the default value is `n1-standard-2`. For
	// [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
	// part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
	// field is required.
	MachineType string `protobuf:"bytes,1,opt,name=machine_type,json=machineType,proto3" json:"machine_type,omitempty"`
	// Immutable. The type of accelerator(s) that may be attached to the machine
	// as per
	// [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
	AcceleratorType AcceleratorType `protobuf:"varint,2,opt,name=accelerator_type,json=acceleratorType,proto3,enum=google.cloud.aiplatform.v1.AcceleratorType" json:"accelerator_type,omitempty"`
	// The number of accelerators to attach to the machine.
	AcceleratorCount int32 `protobuf:"varint,3,opt,name=accelerator_count,json=acceleratorCount,proto3" json:"accelerator_count,omitempty"`
	// Immutable. The topology of the TPUs. Corresponds to the TPU topologies
	// available from GKE. (Example: tpu_topology: "2x2x1").
	TpuTopology string `protobuf:"bytes,4,opt,name=tpu_topology,json=tpuTopology,proto3" json:"tpu_topology,omitempty"`
	// Optional. Immutable. Configuration controlling how this resource pool
	// consumes reservation.
	ReservationAffinity *ReservationAffinity `protobuf:"bytes,5,opt,name=reservation_affinity,json=reservationAffinity,proto3" json:"reservation_affinity,omitempty"`
	// contains filtered or unexported fields
}

Specification of a single machine.

func (*MachineSpec) Descriptor 

func (*MachineSpec) Descriptor() ([]byte, []int)

Deprecated: Use MachineSpec.ProtoReflect.Descriptor instead.

func (*MachineSpec) GetAcceleratorCount 

func (x *MachineSpec) GetAcceleratorCount() int32

func (*MachineSpec) GetAcceleratorType 

func (x *MachineSpec) GetAcceleratorType() AcceleratorType

func (*MachineSpec) GetMachineType 

func (x *MachineSpec) GetMachineType() string

func (*MachineSpec) GetReservationAffinity 

func (x *MachineSpec) GetReservationAffinity() *ReservationAffinity

func (*MachineSpec) GetTpuTopology 

func (x *MachineSpec) GetTpuTopology() string

func (*MachineSpec) ProtoMessage 

func (*MachineSpec) ProtoMessage()

func (*MachineSpec) ProtoReflect 

func (x *MachineSpec) ProtoReflect() protoreflect.Message

func (*MachineSpec) Reset 

func (x *MachineSpec) Reset()

func (*MachineSpec) String 

func (x *MachineSpec) String() string

type ManualBatchTuningParameters 

type ManualBatchTuningParameters struct {

	// Immutable. The number of the records (e.g. instances) of the operation
	// given in each batch to a machine replica. Machine type, and size of a
	// single record should be considered when setting this parameter, higher
	// value speeds up the batch operation's execution, but too high value will
	// result in a whole batch not fitting in a machine's memory, and the whole
	// operation will fail.
	// The default value is 64.
	BatchSize int32 `protobuf:"varint,1,opt,name=batch_size,json=batchSize,proto3" json:"batch_size,omitempty"`
	// contains filtered or unexported fields
}

Manual batch tuning parameters.

func (*ManualBatchTuningParameters) Descriptor 

func (*ManualBatchTuningParameters) Descriptor() ([]byte, []int)

Deprecated: Use ManualBatchTuningParameters.ProtoReflect.Descriptor instead.

func (*ManualBatchTuningParameters) GetBatchSize 

func (x *ManualBatchTuningParameters) GetBatchSize() int32

func (*ManualBatchTuningParameters) ProtoMessage 

func (*ManualBatchTuningParameters) ProtoMessage()

func (*ManualBatchTuningParameters) ProtoReflect 

func (x *ManualBatchTuningParameters) ProtoReflect() protoreflect.Message

func (*ManualBatchTuningParameters) Reset 

func (x *ManualBatchTuningParameters) Reset()

func (*ManualBatchTuningParameters) String 

func (x *ManualBatchTuningParameters) String() string

type MatchServiceClient 

type MatchServiceClient interface {
	// Finds the nearest neighbors of each vector within the request.
	FindNeighbors(ctx context.Context, in *FindNeighborsRequest, opts ...grpc.CallOption) (*FindNeighborsResponse, error)
	// Reads the datapoints/vectors of the given IDs.
	// A maximum of 1000 datapoints can be retrieved in a batch.
	ReadIndexDatapoints(ctx context.Context, in *ReadIndexDatapointsRequest, opts ...grpc.CallOption) (*ReadIndexDatapointsResponse, error)
}

MatchServiceClient is the client API for MatchService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewMatchServiceClient 

func NewMatchServiceClient(cc grpc.ClientConnInterface) MatchServiceClient

type MatchServiceServer 

type MatchServiceServer interface {
	// Finds the nearest neighbors of each vector within the request.
	FindNeighbors(context.Context, *FindNeighborsRequest) (*FindNeighborsResponse, error)
	// Reads the datapoints/vectors of the given IDs.
	// A maximum of 1000 datapoints can be retrieved in a batch.
	ReadIndexDatapoints(context.Context, *ReadIndexDatapointsRequest) (*ReadIndexDatapointsResponse, error)
}

MatchServiceServer is the server API for MatchService service.

type Measurement 

type Measurement struct {

	// Output only. Time that the Trial has been running at the point of this
	// Measurement.
	ElapsedDuration *durationpb.Duration `protobuf:"bytes,1,opt,name=elapsed_duration,json=elapsedDuration,proto3" json:"elapsed_duration,omitempty"`
	// Output only. The number of steps the machine learning model has been
	// trained for. Must be non-negative.
	StepCount int64 `protobuf:"varint,2,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
	// Output only. A list of metrics got by evaluating the objective functions
	// using suggested Parameter values.
	Metrics []*Measurement_Metric `protobuf:"bytes,3,rep,name=metrics,proto3" json:"metrics,omitempty"`
	// contains filtered or unexported fields
}

A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.

func (*Measurement) Descriptor 

func (*Measurement) Descriptor() ([]byte, []int)

Deprecated: Use Measurement.ProtoReflect.Descriptor instead.

func (*Measurement) GetElapsedDuration 

func (x *Measurement) GetElapsedDuration() *durationpb.Duration

func (*Measurement) GetMetrics 

func (x *Measurement) GetMetrics() []*Measurement_Metric

func (*Measurement) GetStepCount 

func (x *Measurement) GetStepCount() int64

func (*Measurement) ProtoMessage 

func (*Measurement) ProtoMessage()

func (*Measurement) ProtoReflect 

func (x *Measurement) ProtoReflect() protoreflect.Message

func (*Measurement) Reset 

func (x *Measurement) Reset()

func (*Measurement) String 

func (x *Measurement) String() string

type Measurement_Metric 

type Measurement_Metric struct {

	// Output only. The ID of the Metric. The Metric should be defined in
	// [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
	MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
	// Output only. The value for this metric.
	Value float64 `protobuf:"fixed64,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

A message representing a metric in the measurement.

func (*Measurement_Metric) Descriptor 

func (*Measurement_Metric) Descriptor() ([]byte, []int)

Deprecated: Use Measurement_Metric.ProtoReflect.Descriptor instead.

func (*Measurement_Metric) GetMetricId 

func (x *Measurement_Metric) GetMetricId() string

func (*Measurement_Metric) GetValue 

func (x *Measurement_Metric) GetValue() float64

func (*Measurement_Metric) ProtoMessage 

func (*Measurement_Metric) ProtoMessage()

func (*Measurement_Metric) ProtoReflect 

func (x *Measurement_Metric) ProtoReflect() protoreflect.Message

func (*Measurement_Metric) Reset 

func (x *Measurement_Metric) Reset()

func (*Measurement_Metric) String 

func (x *Measurement_Metric) String() string

type MergeVersionAliasesRequest 

type MergeVersionAliasesRequest struct {

	// Required. The name of the model version to merge aliases, with a version ID
	// explicitly included.
	//
	// Example: `projects/{project}/locations/{location}/models/{model}@1234`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The set of version aliases to merge.
	// The alias should be at most 128 characters, and match
	// `[a-z][a-zA-Z0-9-]{0,126}[a-z-0-9]`.
	// Add the `-` prefix to an alias means removing that alias from the version.
	// `-` is NOT counted in the 128 characters. Example: `-golden` means removing
	// the `golden` alias from the version.
	//
	// There is NO ordering in aliases, which means
	// 1) The aliases returned from GetModel API might not have the exactly same
	// order from this MergeVersionAliases API. 2) Adding and deleting the same
	// alias in the request is not recommended, and the 2 operations will be
	// cancelled out.
	VersionAliases []string `protobuf:"bytes,2,rep,name=version_aliases,json=versionAliases,proto3" json:"version_aliases,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].

func (*MergeVersionAliasesRequest) Descriptor 

func (*MergeVersionAliasesRequest) Descriptor() ([]byte, []int)

Deprecated: Use MergeVersionAliasesRequest.ProtoReflect.Descriptor instead.

func (*MergeVersionAliasesRequest) GetName 

func (x *MergeVersionAliasesRequest) GetName() string

func (*MergeVersionAliasesRequest) GetVersionAliases 

func (x *MergeVersionAliasesRequest) GetVersionAliases() []string

func (*MergeVersionAliasesRequest) ProtoMessage 

func (*MergeVersionAliasesRequest) ProtoMessage()

func (*MergeVersionAliasesRequest) ProtoReflect 

func (x *MergeVersionAliasesRequest) ProtoReflect() protoreflect.Message

func (*MergeVersionAliasesRequest) Reset 

func (x *MergeVersionAliasesRequest) Reset()

func (*MergeVersionAliasesRequest) String 

func (x *MergeVersionAliasesRequest) String() string

type MetadataSchema 

type MetadataSchema struct {

	// Output only. The resource name of the MetadataSchema.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The version of the MetadataSchema. The version's format must match
	// the following regular expression: `^[0-9]+[.][0-9]+[.][0-9]+$`, which would
	// allow to order/compare different versions. Example: 1.0.0, 1.0.1, etc.
	SchemaVersion string `protobuf:"bytes,2,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
	// Required. The raw YAML string representation of the MetadataSchema. The
	// combination of [MetadataSchema.version] and the schema name given by
	// `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
	//
	// The schema is defined as an OpenAPI 3.0.2
	// [MetadataSchema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
	Schema string `protobuf:"bytes,3,opt,name=schema,proto3" json:"schema,omitempty"`
	// The type of the MetadataSchema. This is a property that identifies which
	// metadata types will use the MetadataSchema.
	SchemaType MetadataSchema_MetadataSchemaType `protobuf:"varint,4,opt,name=schema_type,json=schemaType,proto3,enum=google.cloud.aiplatform.v1.MetadataSchema_MetadataSchemaType" json:"schema_type,omitempty"`
	// Output only. Timestamp when this MetadataSchema was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Description of the Metadata Schema
	Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
	// contains filtered or unexported fields
}

Instance of a general MetadataSchema.

func (*MetadataSchema) Descriptor 

func (*MetadataSchema) Descriptor() ([]byte, []int)

Deprecated: Use MetadataSchema.ProtoReflect.Descriptor instead.

func (*MetadataSchema) GetCreateTime 

func (x *MetadataSchema) GetCreateTime() *timestamppb.Timestamp

func (*MetadataSchema) GetDescription 

func (x *MetadataSchema) GetDescription() string

func (*MetadataSchema) GetName 

func (x *MetadataSchema) GetName() string

func (*MetadataSchema) GetSchema 

func (x *MetadataSchema) GetSchema() string

func (*MetadataSchema) GetSchemaType 

func (x *MetadataSchema) GetSchemaType() MetadataSchema_MetadataSchemaType

func (*MetadataSchema) GetSchemaVersion 

func (x *MetadataSchema) GetSchemaVersion() string

func (*MetadataSchema) ProtoMessage 

func (*MetadataSchema) ProtoMessage()

func (*MetadataSchema) ProtoReflect 

func (x *MetadataSchema) ProtoReflect() protoreflect.Message

func (*MetadataSchema) Reset 

func (x *MetadataSchema) Reset()

func (*MetadataSchema) String 

func (x *MetadataSchema) String() string

type MetadataSchema_MetadataSchemaType 

type MetadataSchema_MetadataSchemaType int32

Describes the type of the MetadataSchema. 

const (
	// Unspecified type for the MetadataSchema.
	MetadataSchema_METADATA_SCHEMA_TYPE_UNSPECIFIED MetadataSchema_MetadataSchemaType = 0
	// A type indicating that the MetadataSchema will be used by Artifacts.
	MetadataSchema_ARTIFACT_TYPE MetadataSchema_MetadataSchemaType = 1
	// A typee indicating that the MetadataSchema will be used by Executions.
	MetadataSchema_EXECUTION_TYPE MetadataSchema_MetadataSchemaType = 2
	// A state indicating that the MetadataSchema will be used by Contexts.
	MetadataSchema_CONTEXT_TYPE MetadataSchema_MetadataSchemaType = 3
)

func (MetadataSchema_MetadataSchemaType) Descriptor 

func (MetadataSchema_MetadataSchemaType) Descriptor() protoreflect.EnumDescriptor

func (MetadataSchema_MetadataSchemaType) Enum 

func (x MetadataSchema_MetadataSchemaType) Enum() *MetadataSchema_MetadataSchemaType

func (MetadataSchema_MetadataSchemaType) EnumDescriptor 

func (MetadataSchema_MetadataSchemaType) EnumDescriptor() ([]byte, []int)

Deprecated: Use MetadataSchema_MetadataSchemaType.Descriptor instead.

func (MetadataSchema_MetadataSchemaType) Number 

func (x MetadataSchema_MetadataSchemaType) Number() protoreflect.EnumNumber

func (MetadataSchema_MetadataSchemaType) String 

func (x MetadataSchema_MetadataSchemaType) String() string

func (MetadataSchema_MetadataSchemaType) Type 

func (MetadataSchema_MetadataSchemaType) Type() protoreflect.EnumType

type MetadataServiceClient 

type MetadataServiceClient interface {
	// Initializes a MetadataStore, including allocation of resources.
	CreateMetadataStore(ctx context.Context, in *CreateMetadataStoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Retrieves a specific MetadataStore.
	GetMetadataStore(ctx context.Context, in *GetMetadataStoreRequest, opts ...grpc.CallOption) (*MetadataStore, error)
	// Lists MetadataStores for a Location.
	ListMetadataStores(ctx context.Context, in *ListMetadataStoresRequest, opts ...grpc.CallOption) (*ListMetadataStoresResponse, error)
	// Deletes a single MetadataStore and all its child resources (Artifacts,
	// Executions, and Contexts).
	DeleteMetadataStore(ctx context.Context, in *DeleteMetadataStoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates an Artifact associated with a MetadataStore.
	CreateArtifact(ctx context.Context, in *CreateArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
	// Retrieves a specific Artifact.
	GetArtifact(ctx context.Context, in *GetArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
	// Lists Artifacts in the MetadataStore.
	ListArtifacts(ctx context.Context, in *ListArtifactsRequest, opts ...grpc.CallOption) (*ListArtifactsResponse, error)
	// Updates a stored Artifact.
	UpdateArtifact(ctx context.Context, in *UpdateArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
	// Deletes an Artifact.
	DeleteArtifact(ctx context.Context, in *DeleteArtifactRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Purges Artifacts.
	PurgeArtifacts(ctx context.Context, in *PurgeArtifactsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a Context associated with a MetadataStore.
	CreateContext(ctx context.Context, in *CreateContextRequest, opts ...grpc.CallOption) (*Context, error)
	// Retrieves a specific Context.
	GetContext(ctx context.Context, in *GetContextRequest, opts ...grpc.CallOption) (*Context, error)
	// Lists Contexts on the MetadataStore.
	ListContexts(ctx context.Context, in *ListContextsRequest, opts ...grpc.CallOption) (*ListContextsResponse, error)
	// Updates a stored Context.
	UpdateContext(ctx context.Context, in *UpdateContextRequest, opts ...grpc.CallOption) (*Context, error)
	// Deletes a stored Context.
	DeleteContext(ctx context.Context, in *DeleteContextRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Purges Contexts.
	PurgeContexts(ctx context.Context, in *PurgeContextsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Adds a set of Artifacts and Executions to a Context. If any of the
	// Artifacts or Executions have already been added to a Context, they are
	// simply skipped.
	AddContextArtifactsAndExecutions(ctx context.Context, in *AddContextArtifactsAndExecutionsRequest, opts ...grpc.CallOption) (*AddContextArtifactsAndExecutionsResponse, error)
	// Adds a set of Contexts as children to a parent Context. If any of the
	// child Contexts have already been added to the parent Context, they are
	// simply skipped. If this call would create a cycle or cause any Context to
	// have more than 10 parents, the request will fail with an INVALID_ARGUMENT
	// error.
	AddContextChildren(ctx context.Context, in *AddContextChildrenRequest, opts ...grpc.CallOption) (*AddContextChildrenResponse, error)
	// Remove a set of children contexts from a parent Context. If any of the
	// child Contexts were NOT added to the parent Context, they are
	// simply skipped.
	RemoveContextChildren(ctx context.Context, in *RemoveContextChildrenRequest, opts ...grpc.CallOption) (*RemoveContextChildrenResponse, error)
	// Retrieves Artifacts and Executions within the specified Context, connected
	// by Event edges and returned as a LineageSubgraph.
	QueryContextLineageSubgraph(ctx context.Context, in *QueryContextLineageSubgraphRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
	// Creates an Execution associated with a MetadataStore.
	CreateExecution(ctx context.Context, in *CreateExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
	// Retrieves a specific Execution.
	GetExecution(ctx context.Context, in *GetExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
	// Lists Executions in the MetadataStore.
	ListExecutions(ctx context.Context, in *ListExecutionsRequest, opts ...grpc.CallOption) (*ListExecutionsResponse, error)
	// Updates a stored Execution.
	UpdateExecution(ctx context.Context, in *UpdateExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
	// Deletes an Execution.
	DeleteExecution(ctx context.Context, in *DeleteExecutionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Purges Executions.
	PurgeExecutions(ctx context.Context, in *PurgeExecutionsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Adds Events to the specified Execution. An Event indicates whether an
	// Artifact was used as an input or output for an Execution. If an Event
	// already exists between the Execution and the Artifact, the Event is
	// skipped.
	AddExecutionEvents(ctx context.Context, in *AddExecutionEventsRequest, opts ...grpc.CallOption) (*AddExecutionEventsResponse, error)
	// Obtains the set of input and output Artifacts for this Execution, in the
	// form of LineageSubgraph that also contains the Execution and connecting
	// Events.
	QueryExecutionInputsAndOutputs(ctx context.Context, in *QueryExecutionInputsAndOutputsRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
	// Creates a MetadataSchema.
	CreateMetadataSchema(ctx context.Context, in *CreateMetadataSchemaRequest, opts ...grpc.CallOption) (*MetadataSchema, error)
	// Retrieves a specific MetadataSchema.
	GetMetadataSchema(ctx context.Context, in *GetMetadataSchemaRequest, opts ...grpc.CallOption) (*MetadataSchema, error)
	// Lists MetadataSchemas.
	ListMetadataSchemas(ctx context.Context, in *ListMetadataSchemasRequest, opts ...grpc.CallOption) (*ListMetadataSchemasResponse, error)
	// Retrieves lineage of an Artifact represented through Artifacts and
	// Executions connected by Event edges and returned as a LineageSubgraph.
	QueryArtifactLineageSubgraph(ctx context.Context, in *QueryArtifactLineageSubgraphRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
}

MetadataServiceClient is the client API for MetadataService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewMetadataServiceClient 

func NewMetadataServiceClient(cc grpc.ClientConnInterface) MetadataServiceClient

type MetadataServiceServer 

type MetadataServiceServer interface {
	// Initializes a MetadataStore, including allocation of resources.
	CreateMetadataStore(context.Context, *CreateMetadataStoreRequest) (*longrunningpb.Operation, error)
	// Retrieves a specific MetadataStore.
	GetMetadataStore(context.Context, *GetMetadataStoreRequest) (*MetadataStore, error)
	// Lists MetadataStores for a Location.
	ListMetadataStores(context.Context, *ListMetadataStoresRequest) (*ListMetadataStoresResponse, error)
	// Deletes a single MetadataStore and all its child resources (Artifacts,
	// Executions, and Contexts).
	DeleteMetadataStore(context.Context, *DeleteMetadataStoreRequest) (*longrunningpb.Operation, error)
	// Creates an Artifact associated with a MetadataStore.
	CreateArtifact(context.Context, *CreateArtifactRequest) (*Artifact, error)
	// Retrieves a specific Artifact.
	GetArtifact(context.Context, *GetArtifactRequest) (*Artifact, error)
	// Lists Artifacts in the MetadataStore.
	ListArtifacts(context.Context, *ListArtifactsRequest) (*ListArtifactsResponse, error)
	// Updates a stored Artifact.
	UpdateArtifact(context.Context, *UpdateArtifactRequest) (*Artifact, error)
	// Deletes an Artifact.
	DeleteArtifact(context.Context, *DeleteArtifactRequest) (*longrunningpb.Operation, error)
	// Purges Artifacts.
	PurgeArtifacts(context.Context, *PurgeArtifactsRequest) (*longrunningpb.Operation, error)
	// Creates a Context associated with a MetadataStore.
	CreateContext(context.Context, *CreateContextRequest) (*Context, error)
	// Retrieves a specific Context.
	GetContext(context.Context, *GetContextRequest) (*Context, error)
	// Lists Contexts on the MetadataStore.
	ListContexts(context.Context, *ListContextsRequest) (*ListContextsResponse, error)
	// Updates a stored Context.
	UpdateContext(context.Context, *UpdateContextRequest) (*Context, error)
	// Deletes a stored Context.
	DeleteContext(context.Context, *DeleteContextRequest) (*longrunningpb.Operation, error)
	// Purges Contexts.
	PurgeContexts(context.Context, *PurgeContextsRequest) (*longrunningpb.Operation, error)
	// Adds a set of Artifacts and Executions to a Context. If any of the
	// Artifacts or Executions have already been added to a Context, they are
	// simply skipped.
	AddContextArtifactsAndExecutions(context.Context, *AddContextArtifactsAndExecutionsRequest) (*AddContextArtifactsAndExecutionsResponse, error)
	// Adds a set of Contexts as children to a parent Context. If any of the
	// child Contexts have already been added to the parent Context, they are
	// simply skipped. If this call would create a cycle or cause any Context to
	// have more than 10 parents, the request will fail with an INVALID_ARGUMENT
	// error.
	AddContextChildren(context.Context, *AddContextChildrenRequest) (*AddContextChildrenResponse, error)
	// Remove a set of children contexts from a parent Context. If any of the
	// child Contexts were NOT added to the parent Context, they are
	// simply skipped.
	RemoveContextChildren(context.Context, *RemoveContextChildrenRequest) (*RemoveContextChildrenResponse, error)
	// Retrieves Artifacts and Executions within the specified Context, connected
	// by Event edges and returned as a LineageSubgraph.
	QueryContextLineageSubgraph(context.Context, *QueryContextLineageSubgraphRequest) (*LineageSubgraph, error)
	// Creates an Execution associated with a MetadataStore.
	CreateExecution(context.Context, *CreateExecutionRequest) (*Execution, error)
	// Retrieves a specific Execution.
	GetExecution(context.Context, *GetExecutionRequest) (*Execution, error)
	// Lists Executions in the MetadataStore.
	ListExecutions(context.Context, *ListExecutionsRequest) (*ListExecutionsResponse, error)
	// Updates a stored Execution.
	UpdateExecution(context.Context, *UpdateExecutionRequest) (*Execution, error)
	// Deletes an Execution.
	DeleteExecution(context.Context, *DeleteExecutionRequest) (*longrunningpb.Operation, error)
	// Purges Executions.
	PurgeExecutions(context.Context, *PurgeExecutionsRequest) (*longrunningpb.Operation, error)
	// Adds Events to the specified Execution. An Event indicates whether an
	// Artifact was used as an input or output for an Execution. If an Event
	// already exists between the Execution and the Artifact, the Event is
	// skipped.
	AddExecutionEvents(context.Context, *AddExecutionEventsRequest) (*AddExecutionEventsResponse, error)
	// Obtains the set of input and output Artifacts for this Execution, in the
	// form of LineageSubgraph that also contains the Execution and connecting
	// Events.
	QueryExecutionInputsAndOutputs(context.Context, *QueryExecutionInputsAndOutputsRequest) (*LineageSubgraph, error)
	// Creates a MetadataSchema.
	CreateMetadataSchema(context.Context, *CreateMetadataSchemaRequest) (*MetadataSchema, error)
	// Retrieves a specific MetadataSchema.
	GetMetadataSchema(context.Context, *GetMetadataSchemaRequest) (*MetadataSchema, error)
	// Lists MetadataSchemas.
	ListMetadataSchemas(context.Context, *ListMetadataSchemasRequest) (*ListMetadataSchemasResponse, error)
	// Retrieves lineage of an Artifact represented through Artifacts and
	// Executions connected by Event edges and returned as a LineageSubgraph.
	QueryArtifactLineageSubgraph(context.Context, *QueryArtifactLineageSubgraphRequest) (*LineageSubgraph, error)
}

MetadataServiceServer is the server API for MetadataService service.

type MetadataStore 

type MetadataStore struct {

	// Output only. The resource name of the MetadataStore instance.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this MetadataStore was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this MetadataStore was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Customer-managed encryption key spec for a Metadata Store. If set, this
	// Metadata Store and all sub-resources of this Metadata Store are secured
	// using this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,5,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Description of the MetadataStore.
	Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. State information of the MetadataStore.
	State *MetadataStore_MetadataStoreState `protobuf:"bytes,7,opt,name=state,proto3" json:"state,omitempty"`
	// Optional. Dataplex integration settings.
	DataplexConfig *MetadataStore_DataplexConfig `protobuf:"bytes,8,opt,name=dataplex_config,json=dataplexConfig,proto3" json:"dataplex_config,omitempty"`
	// contains filtered or unexported fields
}

Instance of a metadata store. Contains a set of metadata that can be queried.

func (*MetadataStore) Descriptor 

func (*MetadataStore) Descriptor() ([]byte, []int)

Deprecated: Use MetadataStore.ProtoReflect.Descriptor instead.

func (*MetadataStore) GetCreateTime 

func (x *MetadataStore) GetCreateTime() *timestamppb.Timestamp

func (*MetadataStore) GetDataplexConfig 

func (x *MetadataStore) GetDataplexConfig() *MetadataStore_DataplexConfig

func (*MetadataStore) GetDescription 

func (x *MetadataStore) GetDescription() string

func (*MetadataStore) GetEncryptionSpec 

func (x *MetadataStore) GetEncryptionSpec() *EncryptionSpec

func (*MetadataStore) GetName 

func (x *MetadataStore) GetName() string

func (*MetadataStore) GetState 

func (x *MetadataStore) GetState() *MetadataStore_MetadataStoreState

func (*MetadataStore) GetUpdateTime 

func (x *MetadataStore) GetUpdateTime() *timestamppb.Timestamp

func (*MetadataStore) ProtoMessage 

func (*MetadataStore) ProtoMessage()

func (*MetadataStore) ProtoReflect 

func (x *MetadataStore) ProtoReflect() protoreflect.Message

func (*MetadataStore) Reset 

func (x *MetadataStore) Reset()

func (*MetadataStore) String 

func (x *MetadataStore) String() string

type MetadataStore_DataplexConfig 

type MetadataStore_DataplexConfig struct {

	// Optional. Whether or not Data Lineage synchronization is enabled for
	// Vertex Pipelines.
	EnabledPipelinesLineage bool `protobuf:"varint,1,opt,name=enabled_pipelines_lineage,json=enabledPipelinesLineage,proto3" json:"enabled_pipelines_lineage,omitempty"`
	// contains filtered or unexported fields
}

Represents Dataplex integration settings.

func (*MetadataStore_DataplexConfig) Descriptor 

func (*MetadataStore_DataplexConfig) Descriptor() ([]byte, []int)

Deprecated: Use MetadataStore_DataplexConfig.ProtoReflect.Descriptor instead.

func (*MetadataStore_DataplexConfig) GetEnabledPipelinesLineage 

func (x *MetadataStore_DataplexConfig) GetEnabledPipelinesLineage() bool

func (*MetadataStore_DataplexConfig) ProtoMessage 

func (*MetadataStore_DataplexConfig) ProtoMessage()

func (*MetadataStore_DataplexConfig) ProtoReflect 

func (x *MetadataStore_DataplexConfig) ProtoReflect() protoreflect.Message

func (*MetadataStore_DataplexConfig) Reset 

func (x *MetadataStore_DataplexConfig) Reset()

func (*MetadataStore_DataplexConfig) String 

func (x *MetadataStore_DataplexConfig) String() string

type MetadataStore_MetadataStoreState 

type MetadataStore_MetadataStoreState struct {

	// The disk utilization of the MetadataStore in bytes.
	DiskUtilizationBytes int64 `protobuf:"varint,1,opt,name=disk_utilization_bytes,json=diskUtilizationBytes,proto3" json:"disk_utilization_bytes,omitempty"`
	// contains filtered or unexported fields
}

Represents state information for a MetadataStore.

func (*MetadataStore_MetadataStoreState) Descriptor 

func (*MetadataStore_MetadataStoreState) Descriptor() ([]byte, []int)

Deprecated: Use MetadataStore_MetadataStoreState.ProtoReflect.Descriptor instead.

func (*MetadataStore_MetadataStoreState) GetDiskUtilizationBytes 

func (x *MetadataStore_MetadataStoreState) GetDiskUtilizationBytes() int64

func (*MetadataStore_MetadataStoreState) ProtoMessage 

func (*MetadataStore_MetadataStoreState) ProtoMessage()

func (*MetadataStore_MetadataStoreState) ProtoReflect 

func (x *MetadataStore_MetadataStoreState) ProtoReflect() protoreflect.Message

func (*MetadataStore_MetadataStoreState) Reset 

func (x *MetadataStore_MetadataStoreState) Reset()

func (*MetadataStore_MetadataStoreState) String 

func (x *MetadataStore_MetadataStoreState) String() string

type MetricxInput 

type MetricxInput struct {

	// Required. Spec for Metricx metric.
	MetricSpec *MetricxSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Metricx instance.
	Instance *MetricxInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for MetricX metric.

func (*MetricxInput) Descriptor 

func (*MetricxInput) Descriptor() ([]byte, []int)

Deprecated: Use MetricxInput.ProtoReflect.Descriptor instead.

func (*MetricxInput) GetInstance 

func (x *MetricxInput) GetInstance() *MetricxInstance

func (*MetricxInput) GetMetricSpec 

func (x *MetricxInput) GetMetricSpec() *MetricxSpec

func (*MetricxInput) ProtoMessage 

func (*MetricxInput) ProtoMessage()

func (*MetricxInput) ProtoReflect 

func (x *MetricxInput) ProtoReflect() protoreflect.Message

func (*MetricxInput) Reset 

func (x *MetricxInput) Reset()

func (*MetricxInput) String 

func (x *MetricxInput) String() string

type MetricxInstance 

type MetricxInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Optional. Source text in original language.
	Source *string `protobuf:"bytes,3,opt,name=source,proto3,oneof" json:"source,omitempty"`
	// contains filtered or unexported fields
}

Spec for MetricX instance - The fields used for evaluation are dependent on the MetricX version.

func (*MetricxInstance) Descriptor 

func (*MetricxInstance) Descriptor() ([]byte, []int)

Deprecated: Use MetricxInstance.ProtoReflect.Descriptor instead.

func (*MetricxInstance) GetPrediction 

func (x *MetricxInstance) GetPrediction() string

func (*MetricxInstance) GetReference 

func (x *MetricxInstance) GetReference() string

func (*MetricxInstance) GetSource 

func (x *MetricxInstance) GetSource() string

func (*MetricxInstance) ProtoMessage 

func (*MetricxInstance) ProtoMessage()

func (*MetricxInstance) ProtoReflect 

func (x *MetricxInstance) ProtoReflect() protoreflect.Message

func (*MetricxInstance) Reset 

func (x *MetricxInstance) Reset()

func (*MetricxInstance) String 

func (x *MetricxInstance) String() string

type MetricxResult 

type MetricxResult struct {

	// Output only. MetricX score. Range depends on version.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Spec for MetricX result - calculates the MetricX score for the given instance using the version specified in the spec.

func (*MetricxResult) Descriptor 

func (*MetricxResult) Descriptor() ([]byte, []int)

Deprecated: Use MetricxResult.ProtoReflect.Descriptor instead.

func (*MetricxResult) GetScore 

func (x *MetricxResult) GetScore() float32

func (*MetricxResult) ProtoMessage 

func (*MetricxResult) ProtoMessage()

func (*MetricxResult) ProtoReflect 

func (x *MetricxResult) ProtoReflect() protoreflect.Message

func (*MetricxResult) Reset 

func (x *MetricxResult) Reset()

func (*MetricxResult) String 

func (x *MetricxResult) String() string

type MetricxSpec 

type MetricxSpec struct {

	// Required. Which version to use for evaluation.
	Version *MetricxSpec_MetricxVersion `protobuf:"varint,1,opt,name=version,proto3,enum=google.cloud.aiplatform.v1.MetricxSpec_MetricxVersion,oneof" json:"version,omitempty"`
	// Optional. Source language in BCP-47 format.
	SourceLanguage string `protobuf:"bytes,2,opt,name=source_language,json=sourceLanguage,proto3" json:"source_language,omitempty"`
	// Optional. Target language in BCP-47 format. Covers both prediction and
	// reference.
	TargetLanguage string `protobuf:"bytes,3,opt,name=target_language,json=targetLanguage,proto3" json:"target_language,omitempty"`
	// contains filtered or unexported fields
}

Spec for MetricX metric.

func (*MetricxSpec) Descriptor 

func (*MetricxSpec) Descriptor() ([]byte, []int)

Deprecated: Use MetricxSpec.ProtoReflect.Descriptor instead.

func (*MetricxSpec) GetSourceLanguage 

func (x *MetricxSpec) GetSourceLanguage() string

func (*MetricxSpec) GetTargetLanguage 

func (x *MetricxSpec) GetTargetLanguage() string

func (*MetricxSpec) GetVersion 

func (x *MetricxSpec) GetVersion() MetricxSpec_MetricxVersion

func (*MetricxSpec) ProtoMessage 

func (*MetricxSpec) ProtoMessage()

func (*MetricxSpec) ProtoReflect 

func (x *MetricxSpec) ProtoReflect() protoreflect.Message

func (*MetricxSpec) Reset 

func (x *MetricxSpec) Reset()

func (*MetricxSpec) String 

func (x *MetricxSpec) String() string

type MetricxSpec_MetricxVersion 

type MetricxSpec_MetricxVersion int32

MetricX Version options. 

const (
	// MetricX version unspecified.
	MetricxSpec_METRICX_VERSION_UNSPECIFIED MetricxSpec_MetricxVersion = 0
	// MetricX 2024 (2.6) for translation + reference (reference-based).
	MetricxSpec_METRICX_24_REF MetricxSpec_MetricxVersion = 1
	// MetricX 2024 (2.6) for translation + source (QE).
	MetricxSpec_METRICX_24_SRC MetricxSpec_MetricxVersion = 2
	// MetricX 2024 (2.6) for translation + source + reference
	// (source-reference-combined).
	MetricxSpec_METRICX_24_SRC_REF MetricxSpec_MetricxVersion = 3
)

func (MetricxSpec_MetricxVersion) Descriptor 

func (MetricxSpec_MetricxVersion) Descriptor() protoreflect.EnumDescriptor

func (MetricxSpec_MetricxVersion) Enum 

func (x MetricxSpec_MetricxVersion) Enum() *MetricxSpec_MetricxVersion

func (MetricxSpec_MetricxVersion) EnumDescriptor 

func (MetricxSpec_MetricxVersion) EnumDescriptor() ([]byte, []int)

Deprecated: Use MetricxSpec_MetricxVersion.Descriptor instead.

func (MetricxSpec_MetricxVersion) Number 

func (x MetricxSpec_MetricxVersion) Number() protoreflect.EnumNumber

func (MetricxSpec_MetricxVersion) String 

func (x MetricxSpec_MetricxVersion) String() string

func (MetricxSpec_MetricxVersion) Type 

func (MetricxSpec_MetricxVersion) Type() protoreflect.EnumType

type MigratableResource 

type MigratableResource struct {

	// Types that are assignable to Resource:
	//
	//	*MigratableResource_MlEngineModelVersion_
	//	*MigratableResource_AutomlModel_
	//	*MigratableResource_AutomlDataset_
	//	*MigratableResource_DataLabelingDataset_
	Resource isMigratableResource_Resource `protobuf_oneof:"resource"`
	// Output only. Timestamp when the last migration attempt on this
	// MigratableResource started. Will not be set if there's no migration attempt
	// on this MigratableResource.
	LastMigrateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=last_migrate_time,json=lastMigrateTime,proto3" json:"last_migrate_time,omitempty"`
	// Output only. Timestamp when this MigratableResource was last updated.
	LastUpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=last_update_time,json=lastUpdateTime,proto3" json:"last_update_time,omitempty"`
	// contains filtered or unexported fields
}

Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.

func (*MigratableResource) Descriptor 

func (*MigratableResource) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource.ProtoReflect.Descriptor instead.

func (*MigratableResource) GetAutomlDataset 

func (x *MigratableResource) GetAutomlDataset() *MigratableResource_AutomlDataset

func (*MigratableResource) GetAutomlModel 

func (x *MigratableResource) GetAutomlModel() *MigratableResource_AutomlModel

func (*MigratableResource) GetDataLabelingDataset 

func (x *MigratableResource) GetDataLabelingDataset() *MigratableResource_DataLabelingDataset

func (*MigratableResource) GetLastMigrateTime 

func (x *MigratableResource) GetLastMigrateTime() *timestamppb.Timestamp

func (*MigratableResource) GetLastUpdateTime 

func (x *MigratableResource) GetLastUpdateTime() *timestamppb.Timestamp

func (*MigratableResource) GetMlEngineModelVersion 

func (x *MigratableResource) GetMlEngineModelVersion() *MigratableResource_MlEngineModelVersion

func (*MigratableResource) GetResource 

func (m *MigratableResource) GetResource() isMigratableResource_Resource

func (*MigratableResource) ProtoMessage 

func (*MigratableResource) ProtoMessage()

func (*MigratableResource) ProtoReflect 

func (x *MigratableResource) ProtoReflect() protoreflect.Message

func (*MigratableResource) Reset 

func (x *MigratableResource) Reset()

func (*MigratableResource) String 

func (x *MigratableResource) String() string

type MigratableResource_AutomlDataset 

type MigratableResource_AutomlDataset struct {

	// Full resource name of automl Dataset.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// The Dataset's display name in automl.googleapis.com.
	DatasetDisplayName string `protobuf:"bytes,4,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// contains filtered or unexported fields
}

Represents one Dataset in automl.googleapis.com.

func (*MigratableResource_AutomlDataset) Descriptor 

func (*MigratableResource_AutomlDataset) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_AutomlDataset.ProtoReflect.Descriptor instead.

func (*MigratableResource_AutomlDataset) GetDataset 

func (x *MigratableResource_AutomlDataset) GetDataset() string

func (*MigratableResource_AutomlDataset) GetDatasetDisplayName 

func (x *MigratableResource_AutomlDataset) GetDatasetDisplayName() string

func (*MigratableResource_AutomlDataset) ProtoMessage 

func (*MigratableResource_AutomlDataset) ProtoMessage()

func (*MigratableResource_AutomlDataset) ProtoReflect 

func (x *MigratableResource_AutomlDataset) ProtoReflect() protoreflect.Message

func (*MigratableResource_AutomlDataset) Reset 

func (x *MigratableResource_AutomlDataset) Reset()

func (*MigratableResource_AutomlDataset) String 

func (x *MigratableResource_AutomlDataset) String() string

type MigratableResource_AutomlDataset_ 

type MigratableResource_AutomlDataset_ struct {
	// Output only. Represents one Dataset in automl.googleapis.com.
	AutomlDataset *MigratableResource_AutomlDataset `protobuf:"bytes,3,opt,name=automl_dataset,json=automlDataset,proto3,oneof"`
}

type MigratableResource_AutomlModel 

type MigratableResource_AutomlModel struct {

	// Full resource name of automl Model.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}`.
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// The Model's display name in automl.googleapis.com.
	ModelDisplayName string `protobuf:"bytes,3,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Represents one Model in automl.googleapis.com.

func (*MigratableResource_AutomlModel) Descriptor 

func (*MigratableResource_AutomlModel) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_AutomlModel.ProtoReflect.Descriptor instead.

func (*MigratableResource_AutomlModel) GetModel 

func (x *MigratableResource_AutomlModel) GetModel() string

func (*MigratableResource_AutomlModel) GetModelDisplayName 

func (x *MigratableResource_AutomlModel) GetModelDisplayName() string

func (*MigratableResource_AutomlModel) ProtoMessage 

func (*MigratableResource_AutomlModel) ProtoMessage()

func (*MigratableResource_AutomlModel) ProtoReflect 

func (x *MigratableResource_AutomlModel) ProtoReflect() protoreflect.Message

func (*MigratableResource_AutomlModel) Reset 

func (x *MigratableResource_AutomlModel) Reset()

func (*MigratableResource_AutomlModel) String 

func (x *MigratableResource_AutomlModel) String() string

type MigratableResource_AutomlModel_ 

type MigratableResource_AutomlModel_ struct {
	// Output only. Represents one Model in automl.googleapis.com.
	AutomlModel *MigratableResource_AutomlModel `protobuf:"bytes,2,opt,name=automl_model,json=automlModel,proto3,oneof"`
}

type MigratableResource_DataLabelingDataset 

type MigratableResource_DataLabelingDataset struct {

	// Full resource name of data labeling Dataset.
	// Format:
	// `projects/{project}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// The Dataset's display name in datalabeling.googleapis.com.
	DatasetDisplayName string `protobuf:"bytes,4,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
	// the data labeling Dataset.
	DataLabelingAnnotatedDatasets []*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset `protobuf:"bytes,3,rep,name=data_labeling_annotated_datasets,json=dataLabelingAnnotatedDatasets,proto3" json:"data_labeling_annotated_datasets,omitempty"`
	// contains filtered or unexported fields
}

Represents one Dataset in datalabeling.googleapis.com.

func (*MigratableResource_DataLabelingDataset) Descriptor 

func (*MigratableResource_DataLabelingDataset) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_DataLabelingDataset.ProtoReflect.Descriptor instead.

func (*MigratableResource_DataLabelingDataset) GetDataLabelingAnnotatedDatasets 

func (x *MigratableResource_DataLabelingDataset) GetDataLabelingAnnotatedDatasets() []*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset

func (*MigratableResource_DataLabelingDataset) GetDataset 

func (x *MigratableResource_DataLabelingDataset) GetDataset() string

func (*MigratableResource_DataLabelingDataset) GetDatasetDisplayName 

func (x *MigratableResource_DataLabelingDataset) GetDatasetDisplayName() string

func (*MigratableResource_DataLabelingDataset) ProtoMessage 

func (*MigratableResource_DataLabelingDataset) ProtoMessage()

func (*MigratableResource_DataLabelingDataset) ProtoReflect 

func (x *MigratableResource_DataLabelingDataset) ProtoReflect() protoreflect.Message

func (*MigratableResource_DataLabelingDataset) Reset 

func (x *MigratableResource_DataLabelingDataset) Reset()

func (*MigratableResource_DataLabelingDataset) String 

func (x *MigratableResource_DataLabelingDataset) String() string

type MigratableResource_DataLabelingDataset_ 

type MigratableResource_DataLabelingDataset_ struct {
	// Output only. Represents one Dataset in datalabeling.googleapis.com.
	DataLabelingDataset *MigratableResource_DataLabelingDataset `protobuf:"bytes,4,opt,name=data_labeling_dataset,json=dataLabelingDataset,proto3,oneof"`
}

type MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset 

type MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset struct {

	// Full resource name of data labeling AnnotatedDataset.
	// Format:
	// `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
	AnnotatedDataset string `protobuf:"bytes,1,opt,name=annotated_dataset,json=annotatedDataset,proto3" json:"annotated_dataset,omitempty"`
	// The AnnotatedDataset's display name in datalabeling.googleapis.com.
	AnnotatedDatasetDisplayName string `protobuf:"bytes,3,opt,name=annotated_dataset_display_name,json=annotatedDatasetDisplayName,proto3" json:"annotated_dataset_display_name,omitempty"`
	// contains filtered or unexported fields
}

Represents one AnnotatedDataset in datalabeling.googleapis.com.

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Descriptor 

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset.ProtoReflect.Descriptor instead.

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDataset 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDataset() string

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDatasetDisplayName 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDatasetDisplayName() string

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoMessage 

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoMessage()

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoReflect 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoReflect() protoreflect.Message

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Reset 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Reset()

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) String 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) String() string

type MigratableResource_MlEngineModelVersion 

type MigratableResource_MlEngineModelVersion struct {

	// The ml.googleapis.com endpoint that this model Version currently lives
	// in.
	// Example values:
	//
	// * ml.googleapis.com
	// * us-centrall-ml.googleapis.com
	// * europe-west4-ml.googleapis.com
	// * asia-east1-ml.googleapis.com
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Full resource name of ml engine model Version.
	// Format: `projects/{project}/models/{model}/versions/{version}`.
	Version string `protobuf:"bytes,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Represents one model Version in ml.googleapis.com.

func (*MigratableResource_MlEngineModelVersion) Descriptor 

func (*MigratableResource_MlEngineModelVersion) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_MlEngineModelVersion.ProtoReflect.Descriptor instead.

func (*MigratableResource_MlEngineModelVersion) GetEndpoint 

func (x *MigratableResource_MlEngineModelVersion) GetEndpoint() string

func (*MigratableResource_MlEngineModelVersion) GetVersion 

func (x *MigratableResource_MlEngineModelVersion) GetVersion() string

func (*MigratableResource_MlEngineModelVersion) ProtoMessage 

func (*MigratableResource_MlEngineModelVersion) ProtoMessage()

func (*MigratableResource_MlEngineModelVersion) ProtoReflect 

func (x *MigratableResource_MlEngineModelVersion) ProtoReflect() protoreflect.Message

func (*MigratableResource_MlEngineModelVersion) Reset 

func (x *MigratableResource_MlEngineModelVersion) Reset()

func (*MigratableResource_MlEngineModelVersion) String 

func (x *MigratableResource_MlEngineModelVersion) String() string

type MigratableResource_MlEngineModelVersion_ 

type MigratableResource_MlEngineModelVersion_ struct {
	// Output only. Represents one Version in ml.googleapis.com.
	MlEngineModelVersion *MigratableResource_MlEngineModelVersion `protobuf:"bytes,1,opt,name=ml_engine_model_version,json=mlEngineModelVersion,proto3,oneof"`
}

type MigrateResourceRequest 

type MigrateResourceRequest struct {

	// Types that are assignable to Request:
	//
	//	*MigrateResourceRequest_MigrateMlEngineModelVersionConfig_
	//	*MigrateResourceRequest_MigrateAutomlModelConfig_
	//	*MigrateResourceRequest_MigrateAutomlDatasetConfig_
	//	*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_
	Request isMigrateResourceRequest_Request `protobuf_oneof:"request"`
	// contains filtered or unexported fields
}

Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.

func (*MigrateResourceRequest) Descriptor 

func (*MigrateResourceRequest) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest) GetMigrateAutomlDatasetConfig 

func (x *MigrateResourceRequest) GetMigrateAutomlDatasetConfig() *MigrateResourceRequest_MigrateAutomlDatasetConfig

func (*MigrateResourceRequest) GetMigrateAutomlModelConfig 

func (x *MigrateResourceRequest) GetMigrateAutomlModelConfig() *MigrateResourceRequest_MigrateAutomlModelConfig

func (*MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig 

func (x *MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig() *MigrateResourceRequest_MigrateDataLabelingDatasetConfig

func (*MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig 

func (x *MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig() *MigrateResourceRequest_MigrateMlEngineModelVersionConfig

func (*MigrateResourceRequest) GetRequest 

func (m *MigrateResourceRequest) GetRequest() isMigrateResourceRequest_Request

func (*MigrateResourceRequest) ProtoMessage 

func (*MigrateResourceRequest) ProtoMessage()

func (*MigrateResourceRequest) ProtoReflect 

func (x *MigrateResourceRequest) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest) Reset 

func (x *MigrateResourceRequest) Reset()

func (*MigrateResourceRequest) String 

func (x *MigrateResourceRequest) String() string

type MigrateResourceRequest_MigrateAutomlDatasetConfig 

type MigrateResourceRequest_MigrateAutomlDatasetConfig struct {

	// Required. Full resource name of automl Dataset.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Required. Display name of the Dataset in Vertex AI.
	// System will pick a display name if unspecified.
	DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Descriptor 

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateAutomlDatasetConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDataset 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDataset() string

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayName 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayName() string

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset()

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) String 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) String() string

type MigrateResourceRequest_MigrateAutomlDatasetConfig_ 

type MigrateResourceRequest_MigrateAutomlDatasetConfig_ struct {
	// Config for migrating Dataset in automl.googleapis.com to Vertex AI's
	// Dataset.
	MigrateAutomlDatasetConfig *MigrateResourceRequest_MigrateAutomlDatasetConfig `protobuf:"bytes,3,opt,name=migrate_automl_dataset_config,json=migrateAutomlDatasetConfig,proto3,oneof"`
}

type MigrateResourceRequest_MigrateAutomlModelConfig 

type MigrateResourceRequest_MigrateAutomlModelConfig struct {

	// Required. Full resource name of automl Model.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}`.
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. Display name of the model in Vertex AI.
	// System will pick a display name if unspecified.
	ModelDisplayName string `protobuf:"bytes,2,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating Model in automl.googleapis.com to Vertex AI's Model.

func (*MigrateResourceRequest_MigrateAutomlModelConfig) Descriptor 

func (*MigrateResourceRequest_MigrateAutomlModelConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateAutomlModelConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateAutomlModelConfig) GetModel 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModel() string

func (*MigrateResourceRequest_MigrateAutomlModelConfig) GetModelDisplayName 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModelDisplayName() string

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateAutomlModelConfig) Reset 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) Reset()

func (*MigrateResourceRequest_MigrateAutomlModelConfig) String 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) String() string

type MigrateResourceRequest_MigrateAutomlModelConfig_ 

type MigrateResourceRequest_MigrateAutomlModelConfig_ struct {
	// Config for migrating Model in automl.googleapis.com to Vertex AI's
	// Model.
	MigrateAutomlModelConfig *MigrateResourceRequest_MigrateAutomlModelConfig `protobuf:"bytes,2,opt,name=migrate_automl_model_config,json=migrateAutomlModelConfig,proto3,oneof"`
}

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig 

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig struct {

	// Required. Full resource name of data labeling Dataset.
	// Format:
	// `projects/{project}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Optional. Display name of the Dataset in Vertex AI.
	// System will pick a display name if unspecified.
	DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// Optional. Configs for migrating AnnotatedDataset in
	// datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
	// AnnotatedDatasets have to belong to the datalabeling Dataset.
	MigrateDataLabelingAnnotatedDatasetConfigs []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig `protobuf:"bytes,3,rep,name=migrate_data_labeling_annotated_dataset_configs,json=migrateDataLabelingAnnotatedDatasetConfigs,proto3" json:"migrate_data_labeling_annotated_dataset_configs,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Descriptor 

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDataset 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDataset() string

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDatasetDisplayName 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDatasetDisplayName() string

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetMigrateDataLabelingAnnotatedDatasetConfigs 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetMigrateDataLabelingAnnotatedDatasetConfigs() []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) String 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) String() string

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_ 

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_ struct {
	// Config for migrating Dataset in datalabeling.googleapis.com to
	// Vertex AI's Dataset.
	MigrateDataLabelingDatasetConfig *MigrateResourceRequest_MigrateDataLabelingDatasetConfig `protobuf:"bytes,4,opt,name=migrate_data_labeling_dataset_config,json=migrateDataLabelingDatasetConfig,proto3,oneof"`
}

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig 

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig struct {

	// Required. Full resource name of data labeling AnnotatedDataset.
	// Format:
	// `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
	AnnotatedDataset string `protobuf:"bytes,1,opt,name=annotated_dataset,json=annotatedDataset,proto3" json:"annotated_dataset,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Descriptor 

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) GetAnnotatedDataset 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) GetAnnotatedDataset() string

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) String 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) String() string

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig 

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig struct {

	// Required. The ml.googleapis.com endpoint that this model version should
	// be migrated from. Example values:
	//
	// * ml.googleapis.com
	//
	// * us-centrall-ml.googleapis.com
	//
	// * europe-west4-ml.googleapis.com
	//
	// * asia-east1-ml.googleapis.com
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. Full resource name of ml engine model version.
	// Format: `projects/{project}/models/{model}/versions/{version}`.
	ModelVersion string `protobuf:"bytes,2,opt,name=model_version,json=modelVersion,proto3" json:"model_version,omitempty"`
	// Required. Display name of the model in Vertex AI.
	// System will pick a display name if unspecified.
	ModelDisplayName string `protobuf:"bytes,3,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating version in ml.googleapis.com to Vertex AI's Model.

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Descriptor 

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateMlEngineModelVersionConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetEndpoint 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetEndpoint() string

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelDisplayName 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelDisplayName() string

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelVersion 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelVersion() string

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset()

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) String 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) String() string

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig_ 

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig_ struct {
	// Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
	MigrateMlEngineModelVersionConfig *MigrateResourceRequest_MigrateMlEngineModelVersionConfig `protobuf:"bytes,1,opt,name=migrate_ml_engine_model_version_config,json=migrateMlEngineModelVersionConfig,proto3,oneof"`
}

type MigrateResourceResponse 

type MigrateResourceResponse struct {

	// After migration, the resource name in Vertex AI.
	//
	// Types that are assignable to MigratedResource:
	//
	//	*MigrateResourceResponse_Dataset
	//	*MigrateResourceResponse_Model
	MigratedResource isMigrateResourceResponse_MigratedResource `protobuf_oneof:"migrated_resource"`
	// Before migration, the identifier in ml.googleapis.com,
	// automl.googleapis.com or datalabeling.googleapis.com.
	MigratableResource *MigratableResource `protobuf:"bytes,3,opt,name=migratable_resource,json=migratableResource,proto3" json:"migratable_resource,omitempty"`
	// contains filtered or unexported fields
}

Describes a successfully migrated resource.

func (*MigrateResourceResponse) Descriptor 

func (*MigrateResourceResponse) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceResponse.ProtoReflect.Descriptor instead.

func (*MigrateResourceResponse) GetDataset 

func (x *MigrateResourceResponse) GetDataset() string

func (*MigrateResourceResponse) GetMigratableResource 

func (x *MigrateResourceResponse) GetMigratableResource() *MigratableResource

func (*MigrateResourceResponse) GetMigratedResource 

func (m *MigrateResourceResponse) GetMigratedResource() isMigrateResourceResponse_MigratedResource

func (*MigrateResourceResponse) GetModel 

func (x *MigrateResourceResponse) GetModel() string

func (*MigrateResourceResponse) ProtoMessage 

func (*MigrateResourceResponse) ProtoMessage()

func (*MigrateResourceResponse) ProtoReflect 

func (x *MigrateResourceResponse) ProtoReflect() protoreflect.Message

func (*MigrateResourceResponse) Reset 

func (x *MigrateResourceResponse) Reset()

func (*MigrateResourceResponse) String 

func (x *MigrateResourceResponse) String() string

type MigrateResourceResponse_Dataset 

type MigrateResourceResponse_Dataset struct {
	// Migrated Dataset's resource name.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3,oneof"`
}

type MigrateResourceResponse_Model 

type MigrateResourceResponse_Model struct {
	// Migrated Model's resource name.
	Model string `protobuf:"bytes,2,opt,name=model,proto3,oneof"`
}

type MigrationServiceClient 

type MigrationServiceClient interface {
	// Searches all of the resources in automl.googleapis.com,
	// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
	// Vertex AI's given location.
	SearchMigratableResources(ctx context.Context, in *SearchMigratableResourcesRequest, opts ...grpc.CallOption) (*SearchMigratableResourcesResponse, error)
	// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
	// and datalabeling.googleapis.com to Vertex AI.
	BatchMigrateResources(ctx context.Context, in *BatchMigrateResourcesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

MigrationServiceClient is the client API for MigrationService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewMigrationServiceClient 

func NewMigrationServiceClient(cc grpc.ClientConnInterface) MigrationServiceClient

type MigrationServiceServer 

type MigrationServiceServer interface {
	// Searches all of the resources in automl.googleapis.com,
	// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
	// Vertex AI's given location.
	SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error)
	// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
	// and datalabeling.googleapis.com to Vertex AI.
	BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunningpb.Operation, error)
}

MigrationServiceServer is the server API for MigrationService service.

type Modality 

type Modality int32

Content Part modality 

const (
	// Unspecified modality.
	Modality_MODALITY_UNSPECIFIED Modality = 0
	// Plain text.
	Modality_TEXT Modality = 1
	// Image.
	Modality_IMAGE Modality = 2
	// Video.
	Modality_VIDEO Modality = 3
	// Audio.
	Modality_AUDIO Modality = 4
	// Document, e.g. PDF.
	Modality_DOCUMENT Modality = 5
)

func (Modality) Descriptor 

func (Modality) Descriptor() protoreflect.EnumDescriptor

func (Modality) Enum 

func (x Modality) Enum() *Modality

func (Modality) EnumDescriptor 

func (Modality) EnumDescriptor() ([]byte, []int)

Deprecated: Use Modality.Descriptor instead.

func (Modality) Number 

func (x Modality) Number() protoreflect.EnumNumber

func (Modality) String 

func (x Modality) String() string

func (Modality) Type 

func (Modality) Type() protoreflect.EnumType

type ModalityTokenCount 

type ModalityTokenCount struct {

	// The modality associated with this token count.
	Modality Modality `protobuf:"varint,1,opt,name=modality,proto3,enum=google.cloud.aiplatform.v1.Modality" json:"modality,omitempty"`
	// Number of tokens.
	TokenCount int32 `protobuf:"varint,2,opt,name=token_count,json=tokenCount,proto3" json:"token_count,omitempty"`
	// contains filtered or unexported fields
}

Represents token counting info for a single modality.

func (*ModalityTokenCount) Descriptor 

func (*ModalityTokenCount) Descriptor() ([]byte, []int)

Deprecated: Use ModalityTokenCount.ProtoReflect.Descriptor instead.

func (*ModalityTokenCount) GetModality 

func (x *ModalityTokenCount) GetModality() Modality

func (*ModalityTokenCount) GetTokenCount 

func (x *ModalityTokenCount) GetTokenCount() int32

func (*ModalityTokenCount) ProtoMessage 

func (*ModalityTokenCount) ProtoMessage()

func (*ModalityTokenCount) ProtoReflect 

func (x *ModalityTokenCount) ProtoReflect() protoreflect.Message

func (*ModalityTokenCount) Reset 

func (x *ModalityTokenCount) Reset()

func (*ModalityTokenCount) String 

func (x *ModalityTokenCount) String() string

type Model 

type Model struct {

	// The resource name of the Model.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Immutable. The version ID of the model.
	// A new version is committed when a new model version is uploaded or
	// trained under an existing model id. It is an auto-incrementing decimal
	// number in string representation.
	VersionId string `protobuf:"bytes,28,opt,name=version_id,json=versionId,proto3" json:"version_id,omitempty"`
	// User provided version aliases so that a model version can be referenced via
	// alias (i.e.
	// `projects/{project}/locations/{location}/models/{model_id}@{version_alias}`
	// instead of auto-generated version id (i.e.
	// `projects/{project}/locations/{location}/models/{model_id}@{version_id})`.
	// The format is [a-z][a-zA-Z0-9-]{0,126}[a-z0-9] to distinguish from
	// version_id. A default version alias will be created for the first version
	// of the model, and there must be exactly one default version alias for a
	// model.
	VersionAliases []string `protobuf:"bytes,29,rep,name=version_aliases,json=versionAliases,proto3" json:"version_aliases,omitempty"`
	// Output only. Timestamp when this version was created.
	VersionCreateTime *timestamppb.Timestamp `protobuf:"bytes,31,opt,name=version_create_time,json=versionCreateTime,proto3" json:"version_create_time,omitempty"`
	// Output only. Timestamp when this version was most recently updated.
	VersionUpdateTime *timestamppb.Timestamp `protobuf:"bytes,32,opt,name=version_update_time,json=versionUpdateTime,proto3" json:"version_update_time,omitempty"`
	// Required. The display name of the Model.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the Model.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// The description of this version.
	VersionDescription string `protobuf:"bytes,30,opt,name=version_description,json=versionDescription,proto3" json:"version_description,omitempty"`
	// The default checkpoint id of a model version.
	DefaultCheckpointId string `protobuf:"bytes,53,opt,name=default_checkpoint_id,json=defaultCheckpointId,proto3" json:"default_checkpoint_id,omitempty"`
	// The schemata that describe formats of the Model's predictions and
	// explanations as given and returned via
	// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
	// and
	// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
	PredictSchemata *PredictSchemata `protobuf:"bytes,4,opt,name=predict_schemata,json=predictSchemata,proto3" json:"predict_schemata,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing
	// additional information about the Model, that is specific to it. Unset if
	// the Model does not have any additional information. The schema is defined
	// as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI, if no
	// additional metadata is needed, this field is set to an empty string.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	MetadataSchemaUri string `protobuf:"bytes,5,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`
	// Immutable. An additional information about the Model; the schema of the
	// metadata can be found in
	// [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
	// Unset if the Model does not have any additional information.
	Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Output only. The formats in which this Model may be exported. If empty,
	// this Model is not available for export.
	SupportedExportFormats []*Model_ExportFormat `protobuf:"bytes,20,rep,name=supported_export_formats,json=supportedExportFormats,proto3" json:"supported_export_formats,omitempty"`
	// Output only. The resource name of the TrainingPipeline that uploaded this
	// Model, if any.
	TrainingPipeline string `protobuf:"bytes,7,opt,name=training_pipeline,json=trainingPipeline,proto3" json:"training_pipeline,omitempty"`
	// Optional. This field is populated if the model is produced by a pipeline
	// job.
	PipelineJob string `protobuf:"bytes,47,opt,name=pipeline_job,json=pipelineJob,proto3" json:"pipeline_job,omitempty"`
	// Input only. The specification of the container that is to be used when
	// deploying this Model. The specification is ingested upon
	// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
	// and all binaries it contains are copied and stored internally by Vertex AI.
	// Not required for AutoML Models.
	ContainerSpec *ModelContainerSpec `protobuf:"bytes,9,opt,name=container_spec,json=containerSpec,proto3" json:"container_spec,omitempty"`
	// Immutable. The path to the directory containing the Model artifact and any
	// of its supporting files. Not required for AutoML Models.
	ArtifactUri string `protobuf:"bytes,26,opt,name=artifact_uri,json=artifactUri,proto3" json:"artifact_uri,omitempty"`
	// Output only. When this Model is deployed, its prediction resources are
	// described by the `prediction_resources` field of the
	// [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
	// object. Because not all Models support all resource configuration types,
	// the configuration types this Model supports are listed here. If no
	// configuration types are listed, the Model cannot be deployed to an
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
	// online predictions
	// ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
	// or
	// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
	// Such a Model can serve predictions by using a
	// [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
	// has at least one entry each in
	// [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
	// and
	// [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
	SupportedDeploymentResourcesTypes []Model_DeploymentResourcesType `protobuf:"varint,10,rep,packed,name=supported_deployment_resources_types,json=supportedDeploymentResourcesTypes,proto3,enum=google.cloud.aiplatform.v1.Model_DeploymentResourcesType" json:"supported_deployment_resources_types,omitempty"`
	// Output only. The formats this Model supports in
	// [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
	// If
	// [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
	// exists, the instances should be given as per that schema.
	//
	// The possible formats are:
	//
	// * `jsonl`
	// The JSON Lines format, where each instance is a single line. Uses
	// [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
	//
	// * `csv`
	// The CSV format, where each instance is a single comma-separated line.
	// The first line in the file is the header, containing comma-separated field
	// names. Uses
	// [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
	//
	// * `tf-record`
	// The TFRecord format, where each instance is a single record in tfrecord
	// syntax. Uses
	// [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
	//
	// * `tf-record-gzip`
	// Similar to `tf-record`, but the file is gzipped. Uses
	// [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
	//
	// * `bigquery`
	// Each instance is a single row in BigQuery. Uses
	// [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
	//
	// * `file-list`
	// Each line of the file is the location of an instance to process, uses
	// `gcs_source` field of the
	// [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
	// object.
	//
	// If this Model doesn't support any of these formats it means it cannot be
	// used with a
	// [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
	// However, if it has
	// [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
	// it could serve online predictions by using
	// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
	// or
	// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
	SupportedInputStorageFormats []string `protobuf:"bytes,11,rep,name=supported_input_storage_formats,json=supportedInputStorageFormats,proto3" json:"supported_input_storage_formats,omitempty"`
	// Output only. The formats this Model supports in
	// [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
	// If both
	// [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
	// and
	// [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
	// exist, the predictions are returned together with their instances. In other
	// words, the prediction has the original instance data first, followed by the
	// actual prediction content (as per the schema).
	//
	// The possible formats are:
	//
	// * `jsonl`
	// The JSON Lines format, where each prediction is a single line. Uses
	// [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
	//
	// * `csv`
	// The CSV format, where each prediction is a single comma-separated line.
	// The first line in the file is the header, containing comma-separated field
	// names. Uses
	// [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
	//
	// * `bigquery`
	// Each prediction is a single row in a BigQuery table, uses
	// [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
	// .
	//
	// If this Model doesn't support any of these formats it means it cannot be
	// used with a
	// [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
	// However, if it has
	// [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
	// it could serve online predictions by using
	// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
	// or
	// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
	SupportedOutputStorageFormats []string `protobuf:"bytes,12,rep,name=supported_output_storage_formats,json=supportedOutputStorageFormats,proto3" json:"supported_output_storage_formats,omitempty"`
	// Output only. Timestamp when this Model was uploaded into Vertex AI.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Model was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. The pointers to DeployedModels created from this Model. Note
	// that Model could have been deployed to Endpoints in different Locations.
	DeployedModels []*DeployedModelRef `protobuf:"bytes,15,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`
	// The default explanation specification for this Model.
	//
	// The Model can be used for
	// [requesting
	// explanation][google.cloud.aiplatform.v1.PredictionService.Explain] after
	// being [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if
	// it is populated. The Model can be used for [batch
	// explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
	// if it is populated.
	//
	// All fields of the explanation_spec can be overridden by
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// of
	// [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
	// or
	// [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
	// of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
	//
	// If the default explanation specification is not set for this Model, this
	// Model can still be used for
	// [requesting
	// explanation][google.cloud.aiplatform.v1.PredictionService.Explain] by
	// setting
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// of
	// [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
	// and for [batch
	// explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
	// by setting
	// [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
	// of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
	ExplanationSpec *ExplanationSpec `protobuf:"bytes,23,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,16,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Models.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,17,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Stats of data used for training or evaluating the Model.
	//
	// Only populated when the Model is trained by a TrainingPipeline with
	// [data_input_config][google.cloud.aiplatform.v1.TrainingPipeline.input_data_config].
	DataStats *Model_DataStats `protobuf:"bytes,21,opt,name=data_stats,json=dataStats,proto3" json:"data_stats,omitempty"`
	// Customer-managed encryption key spec for a Model. If set, this
	// Model and all sub-resources of this Model will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,24,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. Source of a model. It can either be automl training pipeline,
	// custom training pipeline, BigQuery ML, or saved and tuned from Genie or
	// Model Garden.
	ModelSourceInfo *ModelSourceInfo `protobuf:"bytes,38,opt,name=model_source_info,json=modelSourceInfo,proto3" json:"model_source_info,omitempty"`
	// Output only. If this Model is a copy of another Model, this contains info
	// about the original.
	OriginalModelInfo *Model_OriginalModelInfo `protobuf:"bytes,34,opt,name=original_model_info,json=originalModelInfo,proto3" json:"original_model_info,omitempty"`
	// Output only. The resource name of the Artifact that was created in
	// MetadataStore when creating the Model. The Artifact resource name pattern
	// is
	// `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
	MetadataArtifact string `protobuf:"bytes,44,opt,name=metadata_artifact,json=metadataArtifact,proto3" json:"metadata_artifact,omitempty"`
	// Optional. User input field to specify the base model source. Currently it
	// only supports specifing the Model Garden models and Genie models.
	BaseModelSource *Model_BaseModelSource `protobuf:"bytes,50,opt,name=base_model_source,json=baseModelSource,proto3" json:"base_model_source,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,51,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,52,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

A trained machine learning Model.

func (*Model) Descriptor 

func (*Model) Descriptor() ([]byte, []int)

Deprecated: Use Model.ProtoReflect.Descriptor instead.

func (*Model) GetArtifactUri 

func (x *Model) GetArtifactUri() string

func (*Model) GetBaseModelSource 

func (x *Model) GetBaseModelSource() *Model_BaseModelSource

func (*Model) GetContainerSpec 

func (x *Model) GetContainerSpec() *ModelContainerSpec

func (*Model) GetCreateTime 

func (x *Model) GetCreateTime() *timestamppb.Timestamp

func (*Model) GetDataStats 

func (x *Model) GetDataStats() *Model_DataStats

func (*Model) GetDefaultCheckpointId 

func (x *Model) GetDefaultCheckpointId() string

func (*Model) GetDeployedModels 

func (x *Model) GetDeployedModels() []*DeployedModelRef

func (*Model) GetDescription 

func (x *Model) GetDescription() string

func (*Model) GetDisplayName 

func (x *Model) GetDisplayName() string

func (*Model) GetEncryptionSpec 

func (x *Model) GetEncryptionSpec() *EncryptionSpec

func (*Model) GetEtag 

func (x *Model) GetEtag() string

func (*Model) GetExplanationSpec 

func (x *Model) GetExplanationSpec() *ExplanationSpec

func (*Model) GetLabels 

func (x *Model) GetLabels() map[string]string

func (*Model) GetMetadata 

func (x *Model) GetMetadata() *structpb.Value

func (*Model) GetMetadataArtifact 

func (x *Model) GetMetadataArtifact() string

func (*Model) GetMetadataSchemaUri 

func (x *Model) GetMetadataSchemaUri() string

func (*Model) GetModelSourceInfo 

func (x *Model) GetModelSourceInfo() *ModelSourceInfo

func (*Model) GetName 

func (x *Model) GetName() string

func (*Model) GetOriginalModelInfo 

func (x *Model) GetOriginalModelInfo() *Model_OriginalModelInfo

func (*Model) GetPipelineJob 

func (x *Model) GetPipelineJob() string

func (*Model) GetPredictSchemata 

func (x *Model) GetPredictSchemata() *PredictSchemata

func (*Model) GetSatisfiesPzi 

func (x *Model) GetSatisfiesPzi() bool

func (*Model) GetSatisfiesPzs 

func (x *Model) GetSatisfiesPzs() bool

func (*Model) GetSupportedDeploymentResourcesTypes 

func (x *Model) GetSupportedDeploymentResourcesTypes() []Model_DeploymentResourcesType

func (*Model) GetSupportedExportFormats 

func (x *Model) GetSupportedExportFormats() []*Model_ExportFormat

func (*Model) GetSupportedInputStorageFormats 

func (x *Model) GetSupportedInputStorageFormats() []string

func (*Model) GetSupportedOutputStorageFormats 

func (x *Model) GetSupportedOutputStorageFormats() []string

func (*Model) GetTrainingPipeline 

func (x *Model) GetTrainingPipeline() string

func (*Model) GetUpdateTime 

func (x *Model) GetUpdateTime() *timestamppb.Timestamp

func (*Model) GetVersionAliases 

func (x *Model) GetVersionAliases() []string

func (*Model) GetVersionCreateTime 

func (x *Model) GetVersionCreateTime() *timestamppb.Timestamp

func (*Model) GetVersionDescription 

func (x *Model) GetVersionDescription() string

func (*Model) GetVersionId 

func (x *Model) GetVersionId() string

func (*Model) GetVersionUpdateTime 

func (x *Model) GetVersionUpdateTime() *timestamppb.Timestamp

func (*Model) ProtoMessage 

func (*Model) ProtoMessage()

func (*Model) ProtoReflect 

func (x *Model) ProtoReflect() protoreflect.Message

func (*Model) Reset 

func (x *Model) Reset()

func (*Model) String 

func (x *Model) String() string

type ModelContainerSpec 

type ModelContainerSpec struct {

	// Required. Immutable. URI of the Docker image to be used as the custom
	// container for serving predictions. This URI must identify an image in
	// Artifact Registry or Container Registry. Learn more about the [container
	// publishing
	// requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
	// including permissions requirements for the Vertex AI Service Agent.
	//
	// The container image is ingested upon
	// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
	// stored internally, and this original path is afterwards not used.
	//
	// To learn about the requirements for the Docker image itself, see
	// [Custom container
	// requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
	//
	// You can use the URI to one of Vertex AI's [pre-built container images for
	// prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers)
	// in this field.
	ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"`
	// Immutable. Specifies the command that runs when the container starts. This
	// overrides the container's
	// [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
	// Specify this field as an array of executable and arguments, similar to a
	// Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
	//
	// If you do not specify this field, then the container's `ENTRYPOINT` runs,
	// in conjunction with the
	// [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
	// container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
	// if either exists. If this field is not specified and the container does not
	// have an `ENTRYPOINT`, then refer to the Docker documentation about [how
	// `CMD` and `ENTRYPOINT`
	// interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
	//
	// If you specify this field, then you can also specify the `args` field to
	// provide additional arguments for this command. However, if you specify this
	// field, then the container's `CMD` is ignored. See the
	// [Kubernetes documentation about how the
	// `command` and `args` fields interact with a container's `ENTRYPOINT` and
	// `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
	//
	// In this field, you can reference [environment variables set by Vertex
	// AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
	// and environment variables set in the
	// [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
	// reference environment variables set in the Docker image. In order for
	// environment variables to be expanded, reference them by using the following
	// syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
	// from Bash variable expansion, which does not use parentheses. If a variable
	// cannot be resolved, the reference in the input string is used unchanged. To
	// avoid variable expansion, you can escape this syntax with `$$`; for
	// example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
	// to the `command` field of the Kubernetes Containers [v1 core
	// API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
	Command []string `protobuf:"bytes,2,rep,name=command,proto3" json:"command,omitempty"`
	// Immutable. Specifies arguments for the command that runs when the container
	// starts. This overrides the container's
	// [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
	// this field as an array of executable and arguments, similar to a Docker
	// `CMD`'s "default parameters" form.
	//
	// If you don't specify this field but do specify the
	// [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
	// then the command from the `command` field runs without any additional
	// arguments. See the [Kubernetes documentation about how the `command` and
	// `args` fields interact with a container's `ENTRYPOINT` and
	// `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
	//
	// If you don't specify this field and don't specify the `command` field,
	// then the container's
	// [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
	// `CMD` determine what runs based on their default behavior. See the Docker
	// documentation about [how `CMD` and `ENTRYPOINT`
	// interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
	//
	// In this field, you can reference [environment variables
	// set by Vertex
	// AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
	// and environment variables set in the
	// [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
	// reference environment variables set in the Docker image. In order for
	// environment variables to be expanded, reference them by using the following
	// syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
	// from Bash variable expansion, which does not use parentheses. If a variable
	// cannot be resolved, the reference in the input string is used unchanged. To
	// avoid variable expansion, you can escape this syntax with `$$`; for
	// example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
	// to the `args` field of the Kubernetes Containers [v1 core
	// API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
	Args []string `protobuf:"bytes,3,rep,name=args,proto3" json:"args,omitempty"`
	// Immutable. List of environment variables to set in the container. After the
	// container starts running, code running in the container can read these
	// environment variables.
	//
	// Additionally, the
	// [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
	// [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
	// reference these variables. Later entries in this list can also reference
	// earlier entries. For example, the following example sets the variable
	// `VAR_2` to have the value `foo bar`:
	//
	// ```json
	// [
	//
	//	{
	//	  "name": "VAR_1",
	//	  "value": "foo"
	//	},
	//	{
	//	  "name": "VAR_2",
	//	  "value": "$(VAR_1) bar"
	//	}
	//
	// ]
	// ```
	//
	// If you switch the order of the variables in the example, then the expansion
	// does not occur.
	//
	// This field corresponds to the `env` field of the Kubernetes Containers
	// [v1 core
	// API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
	Env []*EnvVar `protobuf:"bytes,4,rep,name=env,proto3" json:"env,omitempty"`
	// Immutable. List of ports to expose from the container. Vertex AI sends any
	// prediction requests that it receives to the first port on this list. Vertex
	// AI also sends
	// [liveness and health
	// checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness)
	// to this port.
	//
	// If you do not specify this field, it defaults to following value:
	//
	// ```json
	// [
	//
	//	{
	//	  "containerPort": 8080
	//	}
	//
	// ]
	// ```
	//
	// Vertex AI does not use ports other than the first one listed. This field
	// corresponds to the `ports` field of the Kubernetes Containers
	// [v1 core
	// API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
	Ports []*Port `protobuf:"bytes,5,rep,name=ports,proto3" json:"ports,omitempty"`
	// Immutable. HTTP path on the container to send prediction requests to.
	// Vertex AI forwards requests sent using
	// [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
	// to this path on the container's IP address and port. Vertex AI then returns
	// the container's response in the API response.
	//
	// For example, if you set this field to `/foo`, then when Vertex AI
	// receives a prediction request, it forwards the request body in a POST
	// request to the `/foo` path on the port of your container specified by the
	// first value of this `ModelContainerSpec`'s
	// [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
	//
	// If you don't specify this field, it defaults to the following value when
	// you [deploy this Model to an
	// Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
	// <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
	// The placeholders in this value are replaced as follows:
	//
	//   - <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
	//     Endpoint.name][] field of the Endpoint where this Model has been
	//     deployed. (Vertex AI makes this value available to your container code
	//     as the [`AIP_ENDPOINT_ID` environment
	//     variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	//
	// * <var>DEPLOYED_MODEL</var>:
	// [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
	// `DeployedModel`.
	//
	//	(Vertex AI makes this value available to your container code
	//	as the [`AIP_DEPLOYED_MODEL_ID` environment
	//	variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	PredictRoute string `protobuf:"bytes,6,opt,name=predict_route,json=predictRoute,proto3" json:"predict_route,omitempty"`
	// Immutable. HTTP path on the container to send health checks to. Vertex AI
	// intermittently sends GET requests to this path on the container's IP
	// address and port to check that the container is healthy. Read more about
	// [health
	// checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health).
	//
	// For example, if you set this field to `/bar`, then Vertex AI
	// intermittently sends a GET request to the `/bar` path on the port of your
	// container specified by the first value of this `ModelContainerSpec`'s
	// [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
	//
	// If you don't specify this field, it defaults to the following value when
	// you [deploy this Model to an
	// Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
	// <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
	// The placeholders in this value are replaced as follows:
	//
	//   - <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
	//     Endpoint.name][] field of the Endpoint where this Model has been
	//     deployed. (Vertex AI makes this value available to your container code
	//     as the [`AIP_ENDPOINT_ID` environment
	//     variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	//
	// * <var>DEPLOYED_MODEL</var>:
	// [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
	// `DeployedModel`.
	//
	//	(Vertex AI makes this value available to your container code as the
	//	[`AIP_DEPLOYED_MODEL_ID` environment
	//	variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	HealthRoute string `protobuf:"bytes,7,opt,name=health_route,json=healthRoute,proto3" json:"health_route,omitempty"`
	// Immutable. List of ports to expose from the container. Vertex AI sends gRPC
	// prediction requests that it receives to the first port on this list. Vertex
	// AI also sends liveness and health checks to this port.
	//
	// If you do not specify this field, gRPC requests to the container will be
	// disabled.
	//
	// Vertex AI does not use ports other than the first one listed. This field
	// corresponds to the `ports` field of the Kubernetes Containers v1 core API.
	GrpcPorts []*Port `protobuf:"bytes,9,rep,name=grpc_ports,json=grpcPorts,proto3" json:"grpc_ports,omitempty"`
	// Immutable. Deployment timeout.
	// Limit for deployment timeout is 2 hours.
	DeploymentTimeout *durationpb.Duration `protobuf:"bytes,10,opt,name=deployment_timeout,json=deploymentTimeout,proto3" json:"deployment_timeout,omitempty"`
	// Immutable. The amount of the VM memory to reserve as the shared memory for
	// the model in megabytes.
	SharedMemorySizeMb int64 `protobuf:"varint,11,opt,name=shared_memory_size_mb,json=sharedMemorySizeMb,proto3" json:"shared_memory_size_mb,omitempty"`
	// Immutable. Specification for Kubernetes startup probe.
	StartupProbe *Probe `protobuf:"bytes,12,opt,name=startup_probe,json=startupProbe,proto3" json:"startup_probe,omitempty"`
	// Immutable. Specification for Kubernetes readiness probe.
	HealthProbe *Probe `protobuf:"bytes,13,opt,name=health_probe,json=healthProbe,proto3" json:"health_probe,omitempty"`
	// Immutable. Specification for Kubernetes liveness probe.
	LivenessProbe *Probe `protobuf:"bytes,14,opt,name=liveness_probe,json=livenessProbe,proto3" json:"liveness_probe,omitempty"`
	// contains filtered or unexported fields
}

Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).

func (*ModelContainerSpec) Descriptor 

func (*ModelContainerSpec) Descriptor() ([]byte, []int)

Deprecated: Use ModelContainerSpec.ProtoReflect.Descriptor instead.

func (*ModelContainerSpec) GetArgs 

func (x *ModelContainerSpec) GetArgs() []string

func (*ModelContainerSpec) GetCommand 

func (x *ModelContainerSpec) GetCommand() []string

func (*ModelContainerSpec) GetDeploymentTimeout 

func (x *ModelContainerSpec) GetDeploymentTimeout() *durationpb.Duration

func (*ModelContainerSpec) GetEnv 

func (x *ModelContainerSpec) GetEnv() []*EnvVar

func (*ModelContainerSpec) GetGrpcPorts 

func (x *ModelContainerSpec) GetGrpcPorts() []*Port

func (*ModelContainerSpec) GetHealthProbe 

func (x *ModelContainerSpec) GetHealthProbe() *Probe

func (*ModelContainerSpec) GetHealthRoute 

func (x *ModelContainerSpec) GetHealthRoute() string

func (*ModelContainerSpec) GetImageUri 

func (x *ModelContainerSpec) GetImageUri() string

func (*ModelContainerSpec) GetLivenessProbe 

func (x *ModelContainerSpec) GetLivenessProbe() *Probe

func (*ModelContainerSpec) GetPorts 

func (x *ModelContainerSpec) GetPorts() []*Port

func (*ModelContainerSpec) GetPredictRoute 

func (x *ModelContainerSpec) GetPredictRoute() string

func (*ModelContainerSpec) GetSharedMemorySizeMb 

func (x *ModelContainerSpec) GetSharedMemorySizeMb() int64

func (*ModelContainerSpec) GetStartupProbe 

func (x *ModelContainerSpec) GetStartupProbe() *Probe

func (*ModelContainerSpec) ProtoMessage 

func (*ModelContainerSpec) ProtoMessage()

func (*ModelContainerSpec) ProtoReflect 

func (x *ModelContainerSpec) ProtoReflect() protoreflect.Message

func (*ModelContainerSpec) Reset 

func (x *ModelContainerSpec) Reset()

func (*ModelContainerSpec) String 

func (x *ModelContainerSpec) String() string

type ModelDeploymentMonitoringBigQueryTable 

type ModelDeploymentMonitoringBigQueryTable struct {

	// The source of log.
	LogSource ModelDeploymentMonitoringBigQueryTable_LogSource `protobuf:"varint,1,opt,name=log_source,json=logSource,proto3,enum=google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable_LogSource" json:"log_source,omitempty"`
	// The type of log.
	LogType ModelDeploymentMonitoringBigQueryTable_LogType `protobuf:"varint,2,opt,name=log_type,json=logType,proto3,enum=google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable_LogType" json:"log_type,omitempty"`
	// The created BigQuery table to store logs. Customer could do their own query
	// & analysis. Format:
	// `bq://<project_id>.model_deployment_monitoring_<endpoint_id>.<tolower(log_source)>_<tolower(log_type)>`
	BigqueryTablePath string `protobuf:"bytes,3,opt,name=bigquery_table_path,json=bigqueryTablePath,proto3" json:"bigquery_table_path,omitempty"`
	// Output only. The schema version of the request/response logging BigQuery
	// table. Default to v1 if unset.
	RequestResponseLoggingSchemaVersion string `protobuf:"bytes,4,opt,name=request_response_logging_schema_version,json=requestResponseLoggingSchemaVersion,proto3" json:"request_response_logging_schema_version,omitempty"`
	// contains filtered or unexported fields
}

ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.

func (*ModelDeploymentMonitoringBigQueryTable) Descriptor 

func (*ModelDeploymentMonitoringBigQueryTable) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringBigQueryTable.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringBigQueryTable) GetBigqueryTablePath 

func (x *ModelDeploymentMonitoringBigQueryTable) GetBigqueryTablePath() string

func (*ModelDeploymentMonitoringBigQueryTable) GetLogSource 

func (x *ModelDeploymentMonitoringBigQueryTable) GetLogSource() ModelDeploymentMonitoringBigQueryTable_LogSource

func (*ModelDeploymentMonitoringBigQueryTable) GetLogType 

func (x *ModelDeploymentMonitoringBigQueryTable) GetLogType() ModelDeploymentMonitoringBigQueryTable_LogType

func (*ModelDeploymentMonitoringBigQueryTable) GetRequestResponseLoggingSchemaVersion 

func (x *ModelDeploymentMonitoringBigQueryTable) GetRequestResponseLoggingSchemaVersion() string

func (*ModelDeploymentMonitoringBigQueryTable) ProtoMessage 

func (*ModelDeploymentMonitoringBigQueryTable) ProtoMessage()

func (*ModelDeploymentMonitoringBigQueryTable) ProtoReflect 

func (x *ModelDeploymentMonitoringBigQueryTable) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringBigQueryTable) Reset 

func (x *ModelDeploymentMonitoringBigQueryTable) Reset()

func (*ModelDeploymentMonitoringBigQueryTable) String 

func (x *ModelDeploymentMonitoringBigQueryTable) String() string

type ModelDeploymentMonitoringBigQueryTable_LogSource 

type ModelDeploymentMonitoringBigQueryTable_LogSource int32

Indicates where does the log come from. 

const (
	// Unspecified source.
	ModelDeploymentMonitoringBigQueryTable_LOG_SOURCE_UNSPECIFIED ModelDeploymentMonitoringBigQueryTable_LogSource = 0
	// Logs coming from Training dataset.
	ModelDeploymentMonitoringBigQueryTable_TRAINING ModelDeploymentMonitoringBigQueryTable_LogSource = 1
	// Logs coming from Serving traffic.
	ModelDeploymentMonitoringBigQueryTable_SERVING ModelDeploymentMonitoringBigQueryTable_LogSource = 2
)

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Descriptor 

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Enum 

func (x ModelDeploymentMonitoringBigQueryTable_LogSource) Enum() *ModelDeploymentMonitoringBigQueryTable_LogSource

func (ModelDeploymentMonitoringBigQueryTable_LogSource) EnumDescriptor 

func (ModelDeploymentMonitoringBigQueryTable_LogSource) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringBigQueryTable_LogSource.Descriptor instead.

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Number 

func (x ModelDeploymentMonitoringBigQueryTable_LogSource) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringBigQueryTable_LogSource) String 

func (x ModelDeploymentMonitoringBigQueryTable_LogSource) String() string

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Type 

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Type() protoreflect.EnumType

type ModelDeploymentMonitoringBigQueryTable_LogType 

type ModelDeploymentMonitoringBigQueryTable_LogType int32

Indicates what type of traffic does the log belong to. 

const (
	// Unspecified type.
	ModelDeploymentMonitoringBigQueryTable_LOG_TYPE_UNSPECIFIED ModelDeploymentMonitoringBigQueryTable_LogType = 0
	// Predict logs.
	ModelDeploymentMonitoringBigQueryTable_PREDICT ModelDeploymentMonitoringBigQueryTable_LogType = 1
	// Explain logs.
	ModelDeploymentMonitoringBigQueryTable_EXPLAIN ModelDeploymentMonitoringBigQueryTable_LogType = 2
)

func (ModelDeploymentMonitoringBigQueryTable_LogType) Descriptor 

func (ModelDeploymentMonitoringBigQueryTable_LogType) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringBigQueryTable_LogType) Enum 

func (x ModelDeploymentMonitoringBigQueryTable_LogType) Enum() *ModelDeploymentMonitoringBigQueryTable_LogType

func (ModelDeploymentMonitoringBigQueryTable_LogType) EnumDescriptor 

func (ModelDeploymentMonitoringBigQueryTable_LogType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringBigQueryTable_LogType.Descriptor instead.

func (ModelDeploymentMonitoringBigQueryTable_LogType) Number 

func (x ModelDeploymentMonitoringBigQueryTable_LogType) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringBigQueryTable_LogType) String 

func (x ModelDeploymentMonitoringBigQueryTable_LogType) String() string

func (ModelDeploymentMonitoringBigQueryTable_LogType) Type 

func (ModelDeploymentMonitoringBigQueryTable_LogType) Type() protoreflect.EnumType

type ModelDeploymentMonitoringJob 

type ModelDeploymentMonitoringJob struct {

	// Output only. Resource name of a ModelDeploymentMonitoringJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the ModelDeploymentMonitoringJob.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	// Display name of a ModelDeploymentMonitoringJob.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Endpoint resource name.
	// Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,3,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Output only. The detailed state of the monitoring job.
	// When the job is still creating, the state will be 'PENDING'.
	// Once the job is successfully created, the state will be 'RUNNING'.
	// Pause the job, the state will be 'PAUSED'.
	// Resume the job, the state will return to 'RUNNING'.
	State JobState `protobuf:"varint,4,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
	// Output only. Schedule state when the monitoring job is in Running state.
	ScheduleState ModelDeploymentMonitoringJob_MonitoringScheduleState `protobuf:"varint,5,opt,name=schedule_state,json=scheduleState,proto3,enum=google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob_MonitoringScheduleState" json:"schedule_state,omitempty"`
	// Output only. Latest triggered monitoring pipeline metadata.
	LatestMonitoringPipelineMetadata *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata `protobuf:"bytes,25,opt,name=latest_monitoring_pipeline_metadata,json=latestMonitoringPipelineMetadata,proto3" json:"latest_monitoring_pipeline_metadata,omitempty"`
	// Required. The config for monitoring objectives. This is a per DeployedModel
	// config. Each DeployedModel needs to be configured separately.
	ModelDeploymentMonitoringObjectiveConfigs []*ModelDeploymentMonitoringObjectiveConfig `protobuf:"bytes,6,rep,name=model_deployment_monitoring_objective_configs,json=modelDeploymentMonitoringObjectiveConfigs,proto3" json:"model_deployment_monitoring_objective_configs,omitempty"`
	// Required. Schedule config for running the monitoring job.
	ModelDeploymentMonitoringScheduleConfig *ModelDeploymentMonitoringScheduleConfig `protobuf:"bytes,7,opt,name=model_deployment_monitoring_schedule_config,json=modelDeploymentMonitoringScheduleConfig,proto3" json:"model_deployment_monitoring_schedule_config,omitempty"`
	// Required. Sample Strategy for logging.
	LoggingSamplingStrategy *SamplingStrategy `protobuf:"bytes,8,opt,name=logging_sampling_strategy,json=loggingSamplingStrategy,proto3" json:"logging_sampling_strategy,omitempty"`
	// Alert config for model monitoring.
	ModelMonitoringAlertConfig *ModelMonitoringAlertConfig `protobuf:"bytes,15,opt,name=model_monitoring_alert_config,json=modelMonitoringAlertConfig,proto3" json:"model_monitoring_alert_config,omitempty"`
	// YAML schema file uri describing the format of a single instance,
	// which are given to format this Endpoint's prediction (and explanation).
	// If not set, we will generate predict schema from collected predict
	// requests.
	PredictInstanceSchemaUri string `protobuf:"bytes,9,opt,name=predict_instance_schema_uri,json=predictInstanceSchemaUri,proto3" json:"predict_instance_schema_uri,omitempty"`
	// Sample Predict instance, same format as
	// [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
	// this can be set as a replacement of
	// [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
	// If not set, we will generate predict schema from collected predict
	// requests.
	SamplePredictInstance *structpb.Value `protobuf:"bytes,19,opt,name=sample_predict_instance,json=samplePredictInstance,proto3" json:"sample_predict_instance,omitempty"`
	// YAML schema file uri describing the format of a single instance that you
	// want Tensorflow Data Validation (TFDV) to analyze.
	//
	// If this field is empty, all the feature data types are inferred from
	// [predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri],
	// meaning that TFDV will use the data in the exact format(data type) as
	// prediction request/response.
	// If there are any data type differences between predict instance and TFDV
	// instance, this field can be used to override the schema.
	// For models trained with Vertex AI, this field must be set as all the
	// fields in predict instance formatted as string.
	AnalysisInstanceSchemaUri string `protobuf:"bytes,16,opt,name=analysis_instance_schema_uri,json=analysisInstanceSchemaUri,proto3" json:"analysis_instance_schema_uri,omitempty"`
	// Output only. The created bigquery tables for the job under customer
	// project. Customer could do their own query & analysis. There could be 4 log
	// tables in maximum:
	// 1. Training data logging predict request/response
	// 2. Serving data logging predict request/response
	BigqueryTables []*ModelDeploymentMonitoringBigQueryTable `protobuf:"bytes,10,rep,name=bigquery_tables,json=bigqueryTables,proto3" json:"bigquery_tables,omitempty"`
	// The TTL of BigQuery tables in user projects which stores logs.
	// A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
	// day). e.g. { second: 3600} indicates ttl = 1 day.
	LogTtl *durationpb.Duration `protobuf:"bytes,17,opt,name=log_ttl,json=logTtl,proto3" json:"log_ttl,omitempty"`
	// The labels with user-defined metadata to organize your
	// ModelDeploymentMonitoringJob.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,11,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
	// most recently.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Timestamp when this monitoring pipeline will be scheduled to
	// run for the next round.
	NextScheduleTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=next_schedule_time,json=nextScheduleTime,proto3" json:"next_schedule_time,omitempty"`
	// Stats anomalies base folder path.
	StatsAnomaliesBaseDirectory *GcsDestination `protobuf:"bytes,20,opt,name=stats_anomalies_base_directory,json=statsAnomaliesBaseDirectory,proto3" json:"stats_anomalies_base_directory,omitempty"`
	// Customer-managed encryption key spec for a ModelDeploymentMonitoringJob. If
	// set, this ModelDeploymentMonitoringJob and all sub-resources of this
	// ModelDeploymentMonitoringJob will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,21,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// If true, the scheduled monitoring pipeline logs are sent to
	// Google Cloud Logging, including pipeline status and anomalies detected.
	// Please note the logs incur cost, which are subject to [Cloud Logging
	// pricing](https://cloud.google.com/logging#pricing).
	EnableMonitoringPipelineLogs bool `protobuf:"varint,22,opt,name=enable_monitoring_pipeline_logs,json=enableMonitoringPipelineLogs,proto3" json:"enable_monitoring_pipeline_logs,omitempty"`
	// Output only. Only populated when the job's state is `JOB_STATE_FAILED` or
	// `JOB_STATE_CANCELLED`.
	Error *status.Status `protobuf:"bytes,23,opt,name=error,proto3" json:"error,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,26,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,27,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Represents a job that runs periodically to monitor the deployed models in an endpoint. It will analyze the logged training & prediction data to detect any abnormal behaviors.

func (*ModelDeploymentMonitoringJob) Descriptor 

func (*ModelDeploymentMonitoringJob) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringJob.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringJob) GetAnalysisInstanceSchemaUri 

func (x *ModelDeploymentMonitoringJob) GetAnalysisInstanceSchemaUri() string

func (*ModelDeploymentMonitoringJob) GetBigqueryTables 

func (x *ModelDeploymentMonitoringJob) GetBigqueryTables() []*ModelDeploymentMonitoringBigQueryTable

func (*ModelDeploymentMonitoringJob) GetCreateTime 

func (x *ModelDeploymentMonitoringJob) GetCreateTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob) GetDisplayName 

func (x *ModelDeploymentMonitoringJob) GetDisplayName() string

func (*ModelDeploymentMonitoringJob) GetEnableMonitoringPipelineLogs 

func (x *ModelDeploymentMonitoringJob) GetEnableMonitoringPipelineLogs() bool

func (*ModelDeploymentMonitoringJob) GetEncryptionSpec 

func (x *ModelDeploymentMonitoringJob) GetEncryptionSpec() *EncryptionSpec

func (*ModelDeploymentMonitoringJob) GetEndpoint 

func (x *ModelDeploymentMonitoringJob) GetEndpoint() string

func (*ModelDeploymentMonitoringJob) GetError 

func (x *ModelDeploymentMonitoringJob) GetError() *status.Status

func (*ModelDeploymentMonitoringJob) GetLabels 

func (x *ModelDeploymentMonitoringJob) GetLabels() map[string]string

func (*ModelDeploymentMonitoringJob) GetLatestMonitoringPipelineMetadata 

func (x *ModelDeploymentMonitoringJob) GetLatestMonitoringPipelineMetadata() *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata

func (*ModelDeploymentMonitoringJob) GetLogTtl 

func (x *ModelDeploymentMonitoringJob) GetLogTtl() *durationpb.Duration

func (*ModelDeploymentMonitoringJob) GetLoggingSamplingStrategy 

func (x *ModelDeploymentMonitoringJob) GetLoggingSamplingStrategy() *SamplingStrategy

func (*ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringObjectiveConfigs 

func (x *ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringObjectiveConfigs() []*ModelDeploymentMonitoringObjectiveConfig

func (*ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringScheduleConfig 

func (x *ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringScheduleConfig() *ModelDeploymentMonitoringScheduleConfig

func (*ModelDeploymentMonitoringJob) GetModelMonitoringAlertConfig 

func (x *ModelDeploymentMonitoringJob) GetModelMonitoringAlertConfig() *ModelMonitoringAlertConfig

func (*ModelDeploymentMonitoringJob) GetName 

func (x *ModelDeploymentMonitoringJob) GetName() string

func (*ModelDeploymentMonitoringJob) GetNextScheduleTime 

func (x *ModelDeploymentMonitoringJob) GetNextScheduleTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob) GetPredictInstanceSchemaUri 

func (x *ModelDeploymentMonitoringJob) GetPredictInstanceSchemaUri() string

func (*ModelDeploymentMonitoringJob) GetSamplePredictInstance 

func (x *ModelDeploymentMonitoringJob) GetSamplePredictInstance() *structpb.Value

func (*ModelDeploymentMonitoringJob) GetSatisfiesPzi 

func (x *ModelDeploymentMonitoringJob) GetSatisfiesPzi() bool

func (*ModelDeploymentMonitoringJob) GetSatisfiesPzs 

func (x *ModelDeploymentMonitoringJob) GetSatisfiesPzs() bool

func (*ModelDeploymentMonitoringJob) GetScheduleState 

func (x *ModelDeploymentMonitoringJob) GetScheduleState() ModelDeploymentMonitoringJob_MonitoringScheduleState

func (*ModelDeploymentMonitoringJob) GetState 

func (x *ModelDeploymentMonitoringJob) GetState() JobState

func (*ModelDeploymentMonitoringJob) GetStatsAnomaliesBaseDirectory 

func (x *ModelDeploymentMonitoringJob) GetStatsAnomaliesBaseDirectory() *GcsDestination

func (*ModelDeploymentMonitoringJob) GetUpdateTime 

func (x *ModelDeploymentMonitoringJob) GetUpdateTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob) ProtoMessage 

func (*ModelDeploymentMonitoringJob) ProtoMessage()

func (*ModelDeploymentMonitoringJob) ProtoReflect 

func (x *ModelDeploymentMonitoringJob) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringJob) Reset 

func (x *ModelDeploymentMonitoringJob) Reset()

func (*ModelDeploymentMonitoringJob) String 

func (x *ModelDeploymentMonitoringJob) String() string

type ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata 

type ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata struct {

	// The time that most recent monitoring pipelines that is related to this
	// run.
	RunTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=run_time,json=runTime,proto3" json:"run_time,omitempty"`
	// The status of the most recent monitoring pipeline.
	Status *status.Status `protobuf:"bytes,2,opt,name=status,proto3" json:"status,omitempty"`
	// contains filtered or unexported fields
}

All metadata of most recent monitoring pipelines.

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Descriptor 

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetRunTime 

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetRunTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetStatus 

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetStatus() *status.Status

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoMessage 

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoMessage()

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoReflect 

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Reset 

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Reset()

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) String 

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) String() string

type ModelDeploymentMonitoringJob_MonitoringScheduleState 

type ModelDeploymentMonitoringJob_MonitoringScheduleState int32

The state to Specify the monitoring pipeline. 

const (
	// Unspecified state.
	ModelDeploymentMonitoringJob_MONITORING_SCHEDULE_STATE_UNSPECIFIED ModelDeploymentMonitoringJob_MonitoringScheduleState = 0
	// The pipeline is picked up and wait to run.
	ModelDeploymentMonitoringJob_PENDING ModelDeploymentMonitoringJob_MonitoringScheduleState = 1
	// The pipeline is offline and will be scheduled for next run.
	ModelDeploymentMonitoringJob_OFFLINE ModelDeploymentMonitoringJob_MonitoringScheduleState = 2
	// The pipeline is running.
	ModelDeploymentMonitoringJob_RUNNING ModelDeploymentMonitoringJob_MonitoringScheduleState = 3
)

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Descriptor 

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Enum 

func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) Enum() *ModelDeploymentMonitoringJob_MonitoringScheduleState

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) EnumDescriptor 

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringJob_MonitoringScheduleState.Descriptor instead.

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Number 

func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) String 

func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) String() string

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Type 

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Type() protoreflect.EnumType

type ModelDeploymentMonitoringObjectiveConfig 

type ModelDeploymentMonitoringObjectiveConfig struct {

	// The DeployedModel ID of the objective config.
	DeployedModelId string `protobuf:"bytes,1,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The objective config of for the modelmonitoring job of this deployed model.
	ObjectiveConfig *ModelMonitoringObjectiveConfig `protobuf:"bytes,2,opt,name=objective_config,json=objectiveConfig,proto3" json:"objective_config,omitempty"`
	// contains filtered or unexported fields
}

ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.

func (*ModelDeploymentMonitoringObjectiveConfig) Descriptor 

func (*ModelDeploymentMonitoringObjectiveConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringObjectiveConfig.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringObjectiveConfig) GetDeployedModelId 

func (x *ModelDeploymentMonitoringObjectiveConfig) GetDeployedModelId() string

func (*ModelDeploymentMonitoringObjectiveConfig) GetObjectiveConfig 

func (x *ModelDeploymentMonitoringObjectiveConfig) GetObjectiveConfig() *ModelMonitoringObjectiveConfig

func (*ModelDeploymentMonitoringObjectiveConfig) ProtoMessage 

func (*ModelDeploymentMonitoringObjectiveConfig) ProtoMessage()

func (*ModelDeploymentMonitoringObjectiveConfig) ProtoReflect 

func (x *ModelDeploymentMonitoringObjectiveConfig) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringObjectiveConfig) Reset 

func (x *ModelDeploymentMonitoringObjectiveConfig) Reset()

func (*ModelDeploymentMonitoringObjectiveConfig) String 

func (x *ModelDeploymentMonitoringObjectiveConfig) String() string

type ModelDeploymentMonitoringObjectiveType 

type ModelDeploymentMonitoringObjectiveType int32

The Model Monitoring Objective types. 

const (
	// Default value, should not be set.
	ModelDeploymentMonitoringObjectiveType_MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED ModelDeploymentMonitoringObjectiveType = 0
	// Raw feature values' stats to detect skew between Training-Prediction
	// datasets.
	ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_SKEW ModelDeploymentMonitoringObjectiveType = 1
	// Raw feature values' stats to detect drift between Serving-Prediction
	// datasets.
	ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_DRIFT ModelDeploymentMonitoringObjectiveType = 2
	// Feature attribution scores to detect skew between Training-Prediction
	// datasets.
	ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_SKEW ModelDeploymentMonitoringObjectiveType = 3
	// Feature attribution scores to detect skew between Prediction datasets
	// collected within different time windows.
	ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_DRIFT ModelDeploymentMonitoringObjectiveType = 4
)

func (ModelDeploymentMonitoringObjectiveType) Descriptor 

func (ModelDeploymentMonitoringObjectiveType) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringObjectiveType) Enum 

func (x ModelDeploymentMonitoringObjectiveType) Enum() *ModelDeploymentMonitoringObjectiveType

func (ModelDeploymentMonitoringObjectiveType) EnumDescriptor 

func (ModelDeploymentMonitoringObjectiveType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringObjectiveType.Descriptor instead.

func (ModelDeploymentMonitoringObjectiveType) Number 

func (x ModelDeploymentMonitoringObjectiveType) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringObjectiveType) String 

func (x ModelDeploymentMonitoringObjectiveType) String() string

func (ModelDeploymentMonitoringObjectiveType) Type 

func (ModelDeploymentMonitoringObjectiveType) Type() protoreflect.EnumType

type ModelDeploymentMonitoringScheduleConfig 

type ModelDeploymentMonitoringScheduleConfig struct {

	// Required. The model monitoring job scheduling interval. It will be rounded
	// up to next full hour. This defines how often the monitoring jobs are
	// triggered.
	MonitorInterval *durationpb.Duration `protobuf:"bytes,1,opt,name=monitor_interval,json=monitorInterval,proto3" json:"monitor_interval,omitempty"`
	// The time window of the prediction data being included in each prediction
	// dataset. This window specifies how long the data should be collected from
	// historical model results for each run. If not set,
	// [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
	// will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
	// the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
	// 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
	// monitoring statistics.
	MonitorWindow *durationpb.Duration `protobuf:"bytes,2,opt,name=monitor_window,json=monitorWindow,proto3" json:"monitor_window,omitempty"`
	// contains filtered or unexported fields
}

The config for scheduling monitoring job.

func (*ModelDeploymentMonitoringScheduleConfig) Descriptor 

func (*ModelDeploymentMonitoringScheduleConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringScheduleConfig.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringScheduleConfig) GetMonitorInterval 

func (x *ModelDeploymentMonitoringScheduleConfig) GetMonitorInterval() *durationpb.Duration

func (*ModelDeploymentMonitoringScheduleConfig) GetMonitorWindow 

func (x *ModelDeploymentMonitoringScheduleConfig) GetMonitorWindow() *durationpb.Duration

func (*ModelDeploymentMonitoringScheduleConfig) ProtoMessage 

func (*ModelDeploymentMonitoringScheduleConfig) ProtoMessage()

func (*ModelDeploymentMonitoringScheduleConfig) ProtoReflect 

func (x *ModelDeploymentMonitoringScheduleConfig) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringScheduleConfig) Reset 

func (x *ModelDeploymentMonitoringScheduleConfig) Reset()

func (*ModelDeploymentMonitoringScheduleConfig) String 

func (x *ModelDeploymentMonitoringScheduleConfig) String() string

type ModelEvaluation 

type ModelEvaluation struct {

	// Output only. The resource name of the ModelEvaluation.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The display name of the ModelEvaluation.
	DisplayName string `protobuf:"bytes,10,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Points to a YAML file stored on Google Cloud Storage describing the
	// [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
	// ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	MetricsSchemaUri string `protobuf:"bytes,2,opt,name=metrics_schema_uri,json=metricsSchemaUri,proto3" json:"metrics_schema_uri,omitempty"`
	// Evaluation metrics of the Model. The schema of the metrics is stored in
	// [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
	Metrics *structpb.Value `protobuf:"bytes,3,opt,name=metrics,proto3" json:"metrics,omitempty"`
	// Output only. Timestamp when this ModelEvaluation was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// All possible
	// [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
	// of ModelEvaluationSlices. The dimensions can be used as the filter of the
	// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
	// request, in the form of `slice.dimension = <dimension>`.
	SliceDimensions []string `protobuf:"bytes,5,rep,name=slice_dimensions,json=sliceDimensions,proto3" json:"slice_dimensions,omitempty"`
	// Points to a YAML file stored on Google Cloud Storage describing
	// [EvaluatedDataItemView.data_item_payload][] and
	// [EvaluatedAnnotation.data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	//
	// This field is not populated if there are neither EvaluatedDataItemViews nor
	// EvaluatedAnnotations under this ModelEvaluation.
	DataItemSchemaUri string `protobuf:"bytes,6,opt,name=data_item_schema_uri,json=dataItemSchemaUri,proto3" json:"data_item_schema_uri,omitempty"`
	// Points to a YAML file stored on Google Cloud Storage describing
	// [EvaluatedDataItemView.predictions][],
	// [EvaluatedDataItemView.ground_truths][],
	// [EvaluatedAnnotation.predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions],
	// and
	// [EvaluatedAnnotation.ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	//
	// This field is not populated if there are neither EvaluatedDataItemViews nor
	// EvaluatedAnnotations under this ModelEvaluation.
	AnnotationSchemaUri string `protobuf:"bytes,7,opt,name=annotation_schema_uri,json=annotationSchemaUri,proto3" json:"annotation_schema_uri,omitempty"`
	// Aggregated explanation metrics for the Model's prediction output over the
	// data this ModelEvaluation uses. This field is populated only if the Model
	// is evaluated with explanations, and only for AutoML tabular Models.
	ModelExplanation *ModelExplanation `protobuf:"bytes,8,opt,name=model_explanation,json=modelExplanation,proto3" json:"model_explanation,omitempty"`
	// Describes the values of
	// [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
	// for explaining the predicted values on the evaluated data.
	ExplanationSpecs []*ModelEvaluation_ModelEvaluationExplanationSpec `protobuf:"bytes,9,rep,name=explanation_specs,json=explanationSpecs,proto3" json:"explanation_specs,omitempty"`
	// The metadata of the ModelEvaluation.
	// For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
	// structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
	// "evaluation_dataset_path", "row_based_metrics_path".
	Metadata *structpb.Value `protobuf:"bytes,11,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.

func (*ModelEvaluation) Descriptor 

func (*ModelEvaluation) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluation.ProtoReflect.Descriptor instead.

func (*ModelEvaluation) GetAnnotationSchemaUri 

func (x *ModelEvaluation) GetAnnotationSchemaUri() string

func (*ModelEvaluation) GetCreateTime 

func (x *ModelEvaluation) GetCreateTime() *timestamppb.Timestamp

func (*ModelEvaluation) GetDataItemSchemaUri 

func (x *ModelEvaluation) GetDataItemSchemaUri() string

func (*ModelEvaluation) GetDisplayName 

func (x *ModelEvaluation) GetDisplayName() string

func (*ModelEvaluation) GetExplanationSpecs 

func (x *ModelEvaluation) GetExplanationSpecs() []*ModelEvaluation_ModelEvaluationExplanationSpec

func (*ModelEvaluation) GetMetadata 

func (x *ModelEvaluation) GetMetadata() *structpb.Value

func (*ModelEvaluation) GetMetrics 

func (x *ModelEvaluation) GetMetrics() *structpb.Value

func (*ModelEvaluation) GetMetricsSchemaUri 

func (x *ModelEvaluation) GetMetricsSchemaUri() string

func (*ModelEvaluation) GetModelExplanation 

func (x *ModelEvaluation) GetModelExplanation() *ModelExplanation

func (*ModelEvaluation) GetName 

func (x *ModelEvaluation) GetName() string

func (*ModelEvaluation) GetSliceDimensions 

func (x *ModelEvaluation) GetSliceDimensions() []string

func (*ModelEvaluation) ProtoMessage 

func (*ModelEvaluation) ProtoMessage()

func (*ModelEvaluation) ProtoReflect 

func (x *ModelEvaluation) ProtoReflect() protoreflect.Message

func (*ModelEvaluation) Reset 

func (x *ModelEvaluation) Reset()

func (*ModelEvaluation) String 

func (x *ModelEvaluation) String() string

type ModelEvaluationSlice 

type ModelEvaluationSlice struct {

	// Output only. The resource name of the ModelEvaluationSlice.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. The slice of the test data that is used to evaluate the Model.
	Slice *ModelEvaluationSlice_Slice `protobuf:"bytes,2,opt,name=slice,proto3" json:"slice,omitempty"`
	// Output only. Points to a YAML file stored on Google Cloud Storage
	// describing the
	// [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
	// ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	MetricsSchemaUri string `protobuf:"bytes,3,opt,name=metrics_schema_uri,json=metricsSchemaUri,proto3" json:"metrics_schema_uri,omitempty"`
	// Output only. Sliced evaluation metrics of the Model. The schema of the
	// metrics is stored in
	// [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
	Metrics *structpb.Value `protobuf:"bytes,4,opt,name=metrics,proto3" json:"metrics,omitempty"`
	// Output only. Timestamp when this ModelEvaluationSlice was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Aggregated explanation metrics for the Model's prediction
	// output over the data this ModelEvaluation uses. This field is populated
	// only if the Model is evaluated with explanations, and only for tabular
	// Models.
	ModelExplanation *ModelExplanation `protobuf:"bytes,6,opt,name=model_explanation,json=modelExplanation,proto3" json:"model_explanation,omitempty"`
	// contains filtered or unexported fields
}

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

func (*ModelEvaluationSlice) Descriptor 

func (*ModelEvaluationSlice) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice) GetCreateTime 

func (x *ModelEvaluationSlice) GetCreateTime() *timestamppb.Timestamp

func (*ModelEvaluationSlice) GetMetrics 

func (x *ModelEvaluationSlice) GetMetrics() *structpb.Value

func (*ModelEvaluationSlice) GetMetricsSchemaUri 

func (x *ModelEvaluationSlice) GetMetricsSchemaUri() string

func (*ModelEvaluationSlice) GetModelExplanation 

func (x *ModelEvaluationSlice) GetModelExplanation() *ModelExplanation

func (*ModelEvaluationSlice) GetName 

func (x *ModelEvaluationSlice) GetName() string

func (*ModelEvaluationSlice) GetSlice 

func (x *ModelEvaluationSlice) GetSlice() *ModelEvaluationSlice_Slice

func (*ModelEvaluationSlice) ProtoMessage 

func (*ModelEvaluationSlice) ProtoMessage()

func (*ModelEvaluationSlice) ProtoReflect 

func (x *ModelEvaluationSlice) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice) Reset 

func (x *ModelEvaluationSlice) Reset()

func (*ModelEvaluationSlice) String 

func (x *ModelEvaluationSlice) String() string

type ModelEvaluationSlice_Slice 

type ModelEvaluationSlice_Slice struct {

	// Output only. The dimension of the slice.
	// Well-known dimensions are:
	//   - `annotationSpec`: This slice is on the test data that has either
	//     ground truth or prediction with
	//     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
	//     equals to
	//     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
	//   - `slice`: This slice is a user customized slice defined by its
	//     SliceSpec.
	Dimension string `protobuf:"bytes,1,opt,name=dimension,proto3" json:"dimension,omitempty"`
	// Output only. The value of the dimension in this slice.
	Value string `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// Output only. Specification for how the data was sliced.
	SliceSpec *ModelEvaluationSlice_Slice_SliceSpec `protobuf:"bytes,3,opt,name=slice_spec,json=sliceSpec,proto3" json:"slice_spec,omitempty"`
	// contains filtered or unexported fields
}

Definition of a slice.

func (*ModelEvaluationSlice_Slice) Descriptor 

func (*ModelEvaluationSlice_Slice) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice) GetDimension 

func (x *ModelEvaluationSlice_Slice) GetDimension() string

func (*ModelEvaluationSlice_Slice) GetSliceSpec 

func (x *ModelEvaluationSlice_Slice) GetSliceSpec() *ModelEvaluationSlice_Slice_SliceSpec

func (*ModelEvaluationSlice_Slice) GetValue 

func (x *ModelEvaluationSlice_Slice) GetValue() string

func (*ModelEvaluationSlice_Slice) ProtoMessage 

func (*ModelEvaluationSlice_Slice) ProtoMessage()

func (*ModelEvaluationSlice_Slice) ProtoReflect 

func (x *ModelEvaluationSlice_Slice) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice) Reset 

func (x *ModelEvaluationSlice_Slice) Reset()

func (*ModelEvaluationSlice_Slice) String 

func (x *ModelEvaluationSlice_Slice) String() string

type ModelEvaluationSlice_Slice_SliceSpec 

type ModelEvaluationSlice_Slice_SliceSpec struct {

	// Mapping configuration for this SliceSpec.
	// The key is the name of the feature.
	// By default, the key will be prefixed by "instance" as a dictionary
	// prefix for Vertex Batch Predictions output format.
	Configs map[string]*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig `protobuf:"bytes,1,rep,name=configs,proto3" json:"configs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

Specification for how the data should be sliced.

func (*ModelEvaluationSlice_Slice_SliceSpec) Descriptor 

func (*ModelEvaluationSlice_Slice_SliceSpec) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice_SliceSpec.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice_SliceSpec) GetConfigs 

func (x *ModelEvaluationSlice_Slice_SliceSpec) GetConfigs() map[string]*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig

func (*ModelEvaluationSlice_Slice_SliceSpec) ProtoMessage 

func (*ModelEvaluationSlice_Slice_SliceSpec) ProtoMessage()

func (*ModelEvaluationSlice_Slice_SliceSpec) ProtoReflect 

func (x *ModelEvaluationSlice_Slice_SliceSpec) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice_SliceSpec) Reset 

func (x *ModelEvaluationSlice_Slice_SliceSpec) Reset()

func (*ModelEvaluationSlice_Slice_SliceSpec) String 

func (x *ModelEvaluationSlice_Slice_SliceSpec) String() string

type ModelEvaluationSlice_Slice_SliceSpec_Range 

type ModelEvaluationSlice_Slice_SliceSpec_Range struct {

	// Inclusive low value for the range.
	Low float32 `protobuf:"fixed32,1,opt,name=low,proto3" json:"low,omitempty"`
	// Exclusive high value for the range.
	High float32 `protobuf:"fixed32,2,opt,name=high,proto3" json:"high,omitempty"`
	// contains filtered or unexported fields
}

A range of values for slice(s). `low` is inclusive, `high` is exclusive.

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) Descriptor 

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice_SliceSpec_Range.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) GetHigh 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) GetHigh() float32

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) GetLow 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) GetLow() float32

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) ProtoMessage 

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) ProtoMessage()

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) ProtoReflect 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) Reset 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) Reset()

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) String 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) String() string

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig 

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig struct {

	// Types that are assignable to Kind:
	//
	//	*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Value
	//	*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Range
	//	*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_AllValues
	Kind isModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Kind `protobuf_oneof:"kind"`
	// contains filtered or unexported fields
}

Specification message containing the config for this SliceSpec. When `kind` is selected as `value` and/or `range`, only a single slice will be computed. When `all_values` is present, a separate slice will be computed for each possible label/value for the corresponding key in `config`. Examples, with feature zip_code with values 12345, 23334, 88888 and feature country with values "US", "Canada", "Mexico" in the dataset:

Example 1: 

{
  "zip_code": { "value": { "float_value": 12345.0 } }
}

A single slice for any data with zip_code 12345 in the dataset.

Example 2: 

{
  "zip_code": { "range": { "low": 12345, "high": 20000 } }
}

A single slice containing data where the zip_codes between 12345 and 20000 For this example, data with the zip_code of 12345 will be in this slice.

Example 3: 

{
  "zip_code": { "range": { "low": 10000, "high": 20000 } },
  "country": { "value": { "string_value": "US" } }
}

A single slice containing data where the zip_codes between 10000 and 20000 has the country "US". For this example, data with the zip_code of 12345 and country "US" will be in this slice.

Example 4: 

{ "country": {"all_values": { "value": true } } }

Three slices are computed, one for each unique country in the dataset.

Example 5: 

{
  "country": { "all_values": { "value": true } },
  "zip_code": { "value": { "float_value": 12345.0 } }
}

Three slices are computed, one for each unique country in the dataset where the zip_code is also 12345. For this example, data with zip_code 12345 and country "US" will be in one slice, zip_code 12345 and country "Canada" in another slice, and zip_code 12345 and country "Mexico" in another slice, totaling 3 slices.

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) Descriptor 

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice_SliceSpec_SliceConfig.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetAllValues 

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetAllValues() *wrapperspb.BoolValue

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetKind 

func (m *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetKind() isModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Kind

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetRange 

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetRange() *ModelEvaluationSlice_Slice_SliceSpec_Range

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetValue 

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetValue() *ModelEvaluationSlice_Slice_SliceSpec_Value

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) ProtoMessage 

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) ProtoMessage()

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) ProtoReflect 

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) Reset 

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) Reset()

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) String 

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) String() string

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_AllValues 

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_AllValues struct {
	// If all_values is set to true, then all possible labels of the keyed
	// feature will have another slice computed.
	// Example: `{"all_values":{"value":true}}`
	AllValues *wrapperspb.BoolValue `protobuf:"bytes,3,opt,name=all_values,json=allValues,proto3,oneof"`
}

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Range 

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Range struct {
	// A range of values for a numerical feature.
	// Example: `{"range":{"low":10000.0,"high":50000.0}}`
	// will capture 12345 and 23334 in the slice.
	Range *ModelEvaluationSlice_Slice_SliceSpec_Range `protobuf:"bytes,2,opt,name=range,proto3,oneof"`
}

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Value 

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Value struct {
	// A unique specific value for a given feature.
	// Example: `{ "value": { "string_value": "12345" } }`
	Value *ModelEvaluationSlice_Slice_SliceSpec_Value `protobuf:"bytes,1,opt,name=value,proto3,oneof"`
}

type ModelEvaluationSlice_Slice_SliceSpec_Value 

type ModelEvaluationSlice_Slice_SliceSpec_Value struct {

	// Types that are assignable to Kind:
	//
	//	*ModelEvaluationSlice_Slice_SliceSpec_Value_StringValue
	//	*ModelEvaluationSlice_Slice_SliceSpec_Value_FloatValue
	Kind isModelEvaluationSlice_Slice_SliceSpec_Value_Kind `protobuf_oneof:"kind"`
	// contains filtered or unexported fields
}

Single value that supports strings and floats.

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) Descriptor 

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice_SliceSpec_Value.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) GetFloatValue 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) GetFloatValue() float32

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) GetKind 

func (m *ModelEvaluationSlice_Slice_SliceSpec_Value) GetKind() isModelEvaluationSlice_Slice_SliceSpec_Value_Kind

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) GetStringValue 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) GetStringValue() string

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) ProtoMessage 

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) ProtoMessage()

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) ProtoReflect 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) Reset 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) Reset()

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) String 

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) String() string

type ModelEvaluationSlice_Slice_SliceSpec_Value_FloatValue 

type ModelEvaluationSlice_Slice_SliceSpec_Value_FloatValue struct {
	// Float type.
	FloatValue float32 `protobuf:"fixed32,2,opt,name=float_value,json=floatValue,proto3,oneof"`
}

type ModelEvaluationSlice_Slice_SliceSpec_Value_StringValue 

type ModelEvaluationSlice_Slice_SliceSpec_Value_StringValue struct {
	// String type.
	StringValue string `protobuf:"bytes,1,opt,name=string_value,json=stringValue,proto3,oneof"`
}

type ModelEvaluation_ModelEvaluationExplanationSpec 

type ModelEvaluation_ModelEvaluationExplanationSpec struct {

	// Explanation type.
	//
	// For AutoML Image Classification models, possible values are:
	//
	//   - `image-integrated-gradients`
	//   - `image-xrai`
	ExplanationType string `protobuf:"bytes,1,opt,name=explanation_type,json=explanationType,proto3" json:"explanation_type,omitempty"`
	// Explanation spec details.
	ExplanationSpec *ExplanationSpec `protobuf:"bytes,2,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
	// contains filtered or unexported fields
}

func (*ModelEvaluation_ModelEvaluationExplanationSpec) Descriptor 

func (*ModelEvaluation_ModelEvaluationExplanationSpec) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluation_ModelEvaluationExplanationSpec.ProtoReflect.Descriptor instead.

func (*ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationSpec 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationSpec() *ExplanationSpec

func (*ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationType 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationType() string

func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoMessage 

func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoMessage()

func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoReflect 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) ProtoReflect() protoreflect.Message

func (*ModelEvaluation_ModelEvaluationExplanationSpec) Reset 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) Reset()

func (*ModelEvaluation_ModelEvaluationExplanationSpec) String 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) String() string

type ModelExplanation 

type ModelExplanation struct {

	// Output only. Aggregated attributions explaining the Model's prediction
	// outputs over the set of instances. The attributions are grouped by outputs.
	//
	// For Models that predict only one output, such as regression Models that
	// predict only one score, there is only one attibution that explains the
	// predicted output. For Models that predict multiple outputs, such as
	// multiclass Models that predict multiple classes, each element explains one
	// specific item.
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// can be used to identify which output this attribution is explaining.
	//
	// The
	// [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
	// [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
	// and
	// [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
	// fields are averaged over the test data.
	//
	// NOTE: Currently AutoML tabular classification Models produce only one
	// attribution, which averages attributions over all the classes it predicts.
	// [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
	// is not populated.
	MeanAttributions []*Attribution `protobuf:"bytes,1,rep,name=mean_attributions,json=meanAttributions,proto3" json:"mean_attributions,omitempty"`
	// contains filtered or unexported fields
}

Aggregated explanation metrics for a Model over a set of instances.

func (*ModelExplanation) Descriptor 

func (*ModelExplanation) Descriptor() ([]byte, []int)

Deprecated: Use ModelExplanation.ProtoReflect.Descriptor instead.

func (*ModelExplanation) GetMeanAttributions 

func (x *ModelExplanation) GetMeanAttributions() []*Attribution

func (*ModelExplanation) ProtoMessage 

func (*ModelExplanation) ProtoMessage()

func (*ModelExplanation) ProtoReflect 

func (x *ModelExplanation) ProtoReflect() protoreflect.Message

func (*ModelExplanation) Reset 

func (x *ModelExplanation) Reset()

func (*ModelExplanation) String 

func (x *ModelExplanation) String() string

type ModelGardenServiceClient 

type ModelGardenServiceClient interface {
	// Gets a Model Garden publisher model.
	GetPublisherModel(ctx context.Context, in *GetPublisherModelRequest, opts ...grpc.CallOption) (*PublisherModel, error)
}

ModelGardenServiceClient is the client API for ModelGardenService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewModelGardenServiceClient 

func NewModelGardenServiceClient(cc grpc.ClientConnInterface) ModelGardenServiceClient

type ModelGardenServiceServer 

type ModelGardenServiceServer interface {
	// Gets a Model Garden publisher model.
	GetPublisherModel(context.Context, *GetPublisherModelRequest) (*PublisherModel, error)
}

ModelGardenServiceServer is the server API for ModelGardenService service.

type ModelGardenSource 

type ModelGardenSource struct {

	// Required. The model garden source model resource name.
	PublicModelName string `protobuf:"bytes,1,opt,name=public_model_name,json=publicModelName,proto3" json:"public_model_name,omitempty"`
	// contains filtered or unexported fields
}

Contains information about the source of the models generated from Model Garden.

func (*ModelGardenSource) Descriptor 

func (*ModelGardenSource) Descriptor() ([]byte, []int)

Deprecated: Use ModelGardenSource.ProtoReflect.Descriptor instead.

func (*ModelGardenSource) GetPublicModelName 

func (x *ModelGardenSource) GetPublicModelName() string

func (*ModelGardenSource) ProtoMessage 

func (*ModelGardenSource) ProtoMessage()

func (*ModelGardenSource) ProtoReflect 

func (x *ModelGardenSource) ProtoReflect() protoreflect.Message

func (*ModelGardenSource) Reset 

func (x *ModelGardenSource) Reset()

func (*ModelGardenSource) String 

func (x *ModelGardenSource) String() string

type ModelMonitoringAlertConfig 

type ModelMonitoringAlertConfig struct {

	// Types that are assignable to Alert:
	//
	//	*ModelMonitoringAlertConfig_EmailAlertConfig_
	Alert isModelMonitoringAlertConfig_Alert `protobuf_oneof:"alert"`
	// Dump the anomalies to Cloud Logging. The anomalies will be put to json
	// payload encoded from proto
	// [ModelMonitoringStatsAnomalies][google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies].
	// This can be further synced to Pub/Sub or any other services supported by
	// Cloud Logging.
	EnableLogging bool `protobuf:"varint,2,opt,name=enable_logging,json=enableLogging,proto3" json:"enable_logging,omitempty"`
	// Resource names of the NotificationChannels to send alert.
	// Must be of the format
	// `projects/<project_id_or_number>/notificationChannels/<channel_id>`
	NotificationChannels []string `protobuf:"bytes,3,rep,name=notification_channels,json=notificationChannels,proto3" json:"notification_channels,omitempty"`
	// contains filtered or unexported fields
}

The alert config for model monitoring.

func (*ModelMonitoringAlertConfig) Descriptor 

func (*ModelMonitoringAlertConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringAlertConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringAlertConfig) GetAlert 

func (m *ModelMonitoringAlertConfig) GetAlert() isModelMonitoringAlertConfig_Alert

func (*ModelMonitoringAlertConfig) GetEmailAlertConfig 

func (x *ModelMonitoringAlertConfig) GetEmailAlertConfig() *ModelMonitoringAlertConfig_EmailAlertConfig

func (*ModelMonitoringAlertConfig) GetEnableLogging 

func (x *ModelMonitoringAlertConfig) GetEnableLogging() bool

func (*ModelMonitoringAlertConfig) GetNotificationChannels 

func (x *ModelMonitoringAlertConfig) GetNotificationChannels() []string

func (*ModelMonitoringAlertConfig) ProtoMessage 

func (*ModelMonitoringAlertConfig) ProtoMessage()

func (*ModelMonitoringAlertConfig) ProtoReflect 

func (x *ModelMonitoringAlertConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringAlertConfig) Reset 

func (x *ModelMonitoringAlertConfig) Reset()

func (*ModelMonitoringAlertConfig) String 

func (x *ModelMonitoringAlertConfig) String() string

type ModelMonitoringAlertConfig_EmailAlertConfig 

type ModelMonitoringAlertConfig_EmailAlertConfig struct {

	// The email addresses to send the alert.
	UserEmails []string `protobuf:"bytes,1,rep,name=user_emails,json=userEmails,proto3" json:"user_emails,omitempty"`
	// contains filtered or unexported fields
}

The config for email alert.

func (*ModelMonitoringAlertConfig_EmailAlertConfig) Descriptor 

func (*ModelMonitoringAlertConfig_EmailAlertConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringAlertConfig_EmailAlertConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringAlertConfig_EmailAlertConfig) GetUserEmails 

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) GetUserEmails() []string

func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoMessage 

func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoMessage()

func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoReflect 

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringAlertConfig_EmailAlertConfig) Reset 

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) Reset()

func (*ModelMonitoringAlertConfig_EmailAlertConfig) String 

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) String() string

type ModelMonitoringAlertConfig_EmailAlertConfig_ 

type ModelMonitoringAlertConfig_EmailAlertConfig_ struct {
	// Email alert config.
	EmailAlertConfig *ModelMonitoringAlertConfig_EmailAlertConfig `protobuf:"bytes,1,opt,name=email_alert_config,json=emailAlertConfig,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig 

type ModelMonitoringObjectiveConfig struct {

	// Training dataset for models. This field has to be set only if
	// TrainingPredictionSkewDetectionConfig is specified.
	TrainingDataset *ModelMonitoringObjectiveConfig_TrainingDataset `protobuf:"bytes,1,opt,name=training_dataset,json=trainingDataset,proto3" json:"training_dataset,omitempty"`
	// The config for skew between training data and prediction data.
	TrainingPredictionSkewDetectionConfig *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig `protobuf:"bytes,2,opt,name=training_prediction_skew_detection_config,json=trainingPredictionSkewDetectionConfig,proto3" json:"training_prediction_skew_detection_config,omitempty"`
	// The config for drift of prediction data.
	PredictionDriftDetectionConfig *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig `protobuf:"bytes,3,opt,name=prediction_drift_detection_config,json=predictionDriftDetectionConfig,proto3" json:"prediction_drift_detection_config,omitempty"`
	// The config for integrating with Vertex Explainable AI.
	ExplanationConfig *ModelMonitoringObjectiveConfig_ExplanationConfig `protobuf:"bytes,5,opt,name=explanation_config,json=explanationConfig,proto3" json:"explanation_config,omitempty"`
	// contains filtered or unexported fields
}

The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.

func (*ModelMonitoringObjectiveConfig) Descriptor 

func (*ModelMonitoringObjectiveConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig) GetExplanationConfig 

func (x *ModelMonitoringObjectiveConfig) GetExplanationConfig() *ModelMonitoringObjectiveConfig_ExplanationConfig

func (*ModelMonitoringObjectiveConfig) GetPredictionDriftDetectionConfig 

func (x *ModelMonitoringObjectiveConfig) GetPredictionDriftDetectionConfig() *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig

func (*ModelMonitoringObjectiveConfig) GetTrainingDataset 

func (x *ModelMonitoringObjectiveConfig) GetTrainingDataset() *ModelMonitoringObjectiveConfig_TrainingDataset

func (*ModelMonitoringObjectiveConfig) GetTrainingPredictionSkewDetectionConfig 

func (x *ModelMonitoringObjectiveConfig) GetTrainingPredictionSkewDetectionConfig() *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig

func (*ModelMonitoringObjectiveConfig) ProtoMessage 

func (*ModelMonitoringObjectiveConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig) Reset 

func (x *ModelMonitoringObjectiveConfig) Reset()

func (*ModelMonitoringObjectiveConfig) String 

func (x *ModelMonitoringObjectiveConfig) String() string

type ModelMonitoringObjectiveConfig_ExplanationConfig 

type ModelMonitoringObjectiveConfig_ExplanationConfig struct {

	// If want to analyze the Vertex Explainable AI feature attribute scores or
	// not. If set to true, Vertex AI will log the feature attributions from
	// explain response and do the skew/drift detection for them.
	EnableFeatureAttributes bool `protobuf:"varint,1,opt,name=enable_feature_attributes,json=enableFeatureAttributes,proto3" json:"enable_feature_attributes,omitempty"`
	// Predictions generated by the BatchPredictionJob using baseline dataset.
	ExplanationBaseline *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline `protobuf:"bytes,2,opt,name=explanation_baseline,json=explanationBaseline,proto3" json:"explanation_baseline,omitempty"`
	// contains filtered or unexported fields
}

The config for integrating with Vertex Explainable AI. Only applicable if the Model has explanation_spec populated.

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) Descriptor 

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_ExplanationConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) GetEnableFeatureAttributes 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) GetEnableFeatureAttributes() bool

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) GetExplanationBaseline 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) GetExplanationBaseline() *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoMessage 

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) Reset 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) Reset()

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) String 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) String() string

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline 

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline struct {

	// The configuration specifying of BatchExplain job output. This can be
	// used to generate the baseline of feature attribution scores.
	//
	// Types that are assignable to Destination:
	//
	//	*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Gcs
	//	*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Bigquery
	Destination isModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Destination `protobuf_oneof:"destination"`
	// The storage format of the predictions generated BatchPrediction job.
	PredictionFormat ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat `protobuf:"varint,1,opt,name=prediction_format,json=predictionFormat,proto3,enum=google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat" json:"prediction_format,omitempty"`
	// contains filtered or unexported fields
}

Output from BatchPredictionJob[google.cloud.aiplatform.v1.BatchPredictionJob] for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Descriptor 

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetBigquery 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetBigquery() *BigQueryDestination

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetDestination 

func (m *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetDestination() isModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Destination

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetGcs 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetGcs() *GcsDestination

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetPredictionFormat 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetPredictionFormat() ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoMessage 

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Reset 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Reset()

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) String 

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) String() string

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Bigquery 

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Bigquery struct {
	// BigQuery location for BatchExplain output.
	Bigquery *BigQueryDestination `protobuf:"bytes,3,opt,name=bigquery,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Gcs 

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Gcs struct {
	// Cloud Storage location for BatchExplain output.
	Gcs *GcsDestination `protobuf:"bytes,2,opt,name=gcs,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat 

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat int32

The storage format of the predictions generated BatchPrediction job. 

const (
	// Should not be set.
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PREDICTION_FORMAT_UNSPECIFIED ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 0
	// Predictions are in JSONL files.
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_JSONL ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 2
	// Predictions are in BigQuery.
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_BIGQUERY ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 3
)

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Descriptor 

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Descriptor() protoreflect.EnumDescriptor

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Enum 

func (x ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Enum() *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) EnumDescriptor 

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat.Descriptor instead.

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Number 

func (x ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Number() protoreflect.EnumNumber

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) String 

func (x ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) String() string

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Type 

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Type() protoreflect.EnumType

type ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig 

type ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig struct {

	// Key is the feature name and value is the threshold. If a feature needs to
	// be monitored for drift, a value threshold must be configured for that
	// feature. The threshold here is against feature distribution distance
	// between different time windws.
	DriftThresholds map[string]*ThresholdConfig `protobuf:"bytes,1,rep,name=drift_thresholds,json=driftThresholds,proto3" json:"drift_thresholds,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Key is the feature name and value is the threshold. The threshold here is
	// against attribution score distance between different time windows.
	AttributionScoreDriftThresholds map[string]*ThresholdConfig `protobuf:"bytes,2,rep,name=attribution_score_drift_thresholds,json=attributionScoreDriftThresholds,proto3" json:"attribution_score_drift_thresholds,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Drift anomaly detection threshold used by all features.
	// When the per-feature thresholds are not set, this field can be used to
	// specify a threshold for all features.
	DefaultDriftThreshold *ThresholdConfig `protobuf:"bytes,5,opt,name=default_drift_threshold,json=defaultDriftThreshold,proto3" json:"default_drift_threshold,omitempty"`
	// contains filtered or unexported fields
}

The config for Prediction data drift detection.

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Descriptor 

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetAttributionScoreDriftThresholds 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetAttributionScoreDriftThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDefaultDriftThreshold 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDefaultDriftThreshold() *ThresholdConfig

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDriftThresholds 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDriftThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoMessage 

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Reset 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Reset()

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) String 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) String() string

type ModelMonitoringObjectiveConfig_TrainingDataset 

type ModelMonitoringObjectiveConfig_TrainingDataset struct {

	// Types that are assignable to DataSource:
	//
	//	*ModelMonitoringObjectiveConfig_TrainingDataset_Dataset
	//	*ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource
	//	*ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource
	DataSource isModelMonitoringObjectiveConfig_TrainingDataset_DataSource `protobuf_oneof:"data_source"`
	// Data format of the dataset, only applicable if the input is from
	// Google Cloud Storage.
	// The possible formats are:
	//
	// "tf-record"
	// The source file is a TFRecord file.
	//
	// "csv"
	// The source file is a CSV file.
	// "jsonl"
	// The source file is a JSONL file.
	DataFormat string `protobuf:"bytes,2,opt,name=data_format,json=dataFormat,proto3" json:"data_format,omitempty"`
	// The target field name the model is to predict.
	// This field will be excluded when doing Predict and (or) Explain for the
	// training data.
	TargetField string `protobuf:"bytes,6,opt,name=target_field,json=targetField,proto3" json:"target_field,omitempty"`
	// Strategy to sample data from Training Dataset.
	// If not set, we process the whole dataset.
	LoggingSamplingStrategy *SamplingStrategy `protobuf:"bytes,7,opt,name=logging_sampling_strategy,json=loggingSamplingStrategy,proto3" json:"logging_sampling_strategy,omitempty"`
	// contains filtered or unexported fields
}

Training Dataset information.

func (*ModelMonitoringObjectiveConfig_TrainingDataset) Descriptor 

func (*ModelMonitoringObjectiveConfig_TrainingDataset) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_TrainingDataset.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetBigquerySource 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetBigquerySource() *BigQuerySource

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataFormat 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataFormat() string

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataSource 

func (m *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataSource() isModelMonitoringObjectiveConfig_TrainingDataset_DataSource

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataset 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataset() string

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetGcsSource 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetGcsSource() *GcsSource

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetLoggingSamplingStrategy 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetLoggingSamplingStrategy() *SamplingStrategy

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetTargetField 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetTargetField() string

func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoMessage 

func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_TrainingDataset) Reset 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) Reset()

func (*ModelMonitoringObjectiveConfig_TrainingDataset) String 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) String() string

type ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource 

type ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource struct {
	// The BigQuery table of the unmanaged Dataset used to train this
	// Model.
	BigquerySource *BigQuerySource `protobuf:"bytes,5,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig_TrainingDataset_Dataset 

type ModelMonitoringObjectiveConfig_TrainingDataset_Dataset struct {
	// The resource name of the Dataset used to train this Model.
	Dataset string `protobuf:"bytes,3,opt,name=dataset,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource 

type ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource struct {
	// The Google Cloud Storage uri of the unmanaged Dataset used to train
	// this Model.
	GcsSource *GcsSource `protobuf:"bytes,4,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig 

type ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig struct {

	// Key is the feature name and value is the threshold. If a feature needs to
	// be monitored for skew, a value threshold must be configured for that
	// feature. The threshold here is against feature distribution distance
	// between the training and prediction feature.
	SkewThresholds map[string]*ThresholdConfig `protobuf:"bytes,1,rep,name=skew_thresholds,json=skewThresholds,proto3" json:"skew_thresholds,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Key is the feature name and value is the threshold. The threshold here is
	// against attribution score distance between the training and prediction
	// feature.
	AttributionScoreSkewThresholds map[string]*ThresholdConfig `protobuf:"bytes,2,rep,name=attribution_score_skew_thresholds,json=attributionScoreSkewThresholds,proto3" json:"attribution_score_skew_thresholds,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Skew anomaly detection threshold used by all features.
	// When the per-feature thresholds are not set, this field can be used to
	// specify a threshold for all features.
	DefaultSkewThreshold *ThresholdConfig `protobuf:"bytes,6,opt,name=default_skew_threshold,json=defaultSkewThreshold,proto3" json:"default_skew_threshold,omitempty"`
	// contains filtered or unexported fields
}

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Descriptor 

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetAttributionScoreSkewThresholds 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetAttributionScoreSkewThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetDefaultSkewThreshold 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetDefaultSkewThreshold() *ThresholdConfig

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetSkewThresholds 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetSkewThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoMessage 

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Reset 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Reset()

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) String 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) String() string

type ModelMonitoringStatsAnomalies 

type ModelMonitoringStatsAnomalies struct {

	// Model Monitoring Objective those stats and anomalies belonging to.
	Objective ModelDeploymentMonitoringObjectiveType `protobuf:"varint,1,opt,name=objective,proto3,enum=google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType" json:"objective,omitempty"`
	// Deployed Model ID.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// Number of anomalies within all stats.
	AnomalyCount int32 `protobuf:"varint,3,opt,name=anomaly_count,json=anomalyCount,proto3" json:"anomaly_count,omitempty"`
	// A list of historical Stats and Anomalies generated for all Features.
	FeatureStats []*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies `protobuf:"bytes,4,rep,name=feature_stats,json=featureStats,proto3" json:"feature_stats,omitempty"`
	// contains filtered or unexported fields
}

Statistics and anomalies generated by Model Monitoring.

func (*ModelMonitoringStatsAnomalies) Descriptor 

func (*ModelMonitoringStatsAnomalies) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringStatsAnomalies.ProtoReflect.Descriptor instead.

func (*ModelMonitoringStatsAnomalies) GetAnomalyCount 

func (x *ModelMonitoringStatsAnomalies) GetAnomalyCount() int32

func (*ModelMonitoringStatsAnomalies) GetDeployedModelId 

func (x *ModelMonitoringStatsAnomalies) GetDeployedModelId() string

func (*ModelMonitoringStatsAnomalies) GetFeatureStats 

func (x *ModelMonitoringStatsAnomalies) GetFeatureStats() []*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies

func (*ModelMonitoringStatsAnomalies) GetObjective 

func (x *ModelMonitoringStatsAnomalies) GetObjective() ModelDeploymentMonitoringObjectiveType

func (*ModelMonitoringStatsAnomalies) ProtoMessage 

func (*ModelMonitoringStatsAnomalies) ProtoMessage()

func (*ModelMonitoringStatsAnomalies) ProtoReflect 

func (x *ModelMonitoringStatsAnomalies) ProtoReflect() protoreflect.Message

func (*ModelMonitoringStatsAnomalies) Reset 

func (x *ModelMonitoringStatsAnomalies) Reset()

func (*ModelMonitoringStatsAnomalies) String 

func (x *ModelMonitoringStatsAnomalies) String() string

type ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies 

type ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies struct {

	// Display Name of the Feature.
	FeatureDisplayName string `protobuf:"bytes,1,opt,name=feature_display_name,json=featureDisplayName,proto3" json:"feature_display_name,omitempty"`
	// Threshold for anomaly detection.
	Threshold *ThresholdConfig `protobuf:"bytes,3,opt,name=threshold,proto3" json:"threshold,omitempty"`
	// Stats calculated for the Training Dataset.
	TrainingStats *FeatureStatsAnomaly `protobuf:"bytes,4,opt,name=training_stats,json=trainingStats,proto3" json:"training_stats,omitempty"`
	// A list of historical stats generated by different time window's
	// Prediction Dataset.
	PredictionStats []*FeatureStatsAnomaly `protobuf:"bytes,5,rep,name=prediction_stats,json=predictionStats,proto3" json:"prediction_stats,omitempty"`
	// contains filtered or unexported fields
}

Historical Stats (and Anomalies) for a specific Feature.

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Descriptor 

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies.ProtoReflect.Descriptor instead.

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetFeatureDisplayName 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetFeatureDisplayName() string

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetPredictionStats 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetPredictionStats() []*FeatureStatsAnomaly

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetThreshold 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetThreshold() *ThresholdConfig

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetTrainingStats 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetTrainingStats() *FeatureStatsAnomaly

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoMessage 

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoMessage()

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoReflect 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoReflect() protoreflect.Message

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Reset 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Reset()

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) String 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) String() string

type ModelServiceClient 

type ModelServiceClient interface {
	// Uploads a Model artifact into Vertex AI.
	UploadModel(ctx context.Context, in *UploadModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Model.
	GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Lists Models in a Location.
	ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error)
	// Lists versions of the specified model.
	ListModelVersions(ctx context.Context, in *ListModelVersionsRequest, opts ...grpc.CallOption) (*ListModelVersionsResponse, error)
	// Lists checkpoints of the specified model version.
	ListModelVersionCheckpoints(ctx context.Context, in *ListModelVersionCheckpointsRequest, opts ...grpc.CallOption) (*ListModelVersionCheckpointsResponse, error)
	// Updates a Model.
	UpdateModel(ctx context.Context, in *UpdateModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Incrementally update the dataset used for an examples model.
	UpdateExplanationDataset(ctx context.Context, in *UpdateExplanationDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a Model.
	//
	// A model cannot be deleted if any
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
	// model in its
	// [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
	// field.
	DeleteModel(ctx context.Context, in *DeleteModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a Model version.
	//
	// Model version can only be deleted if there are no
	// [DeployedModels][google.cloud.aiplatform.v1.DeployedModel] created from it.
	// Deleting the only version in the Model is not allowed. Use
	// [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for
	// deleting the Model instead.
	DeleteModelVersion(ctx context.Context, in *DeleteModelVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Merges a set of aliases for a Model version.
	MergeVersionAliases(ctx context.Context, in *MergeVersionAliasesRequest, opts ...grpc.CallOption) (*Model, error)
	// Exports a trained, exportable Model to a location specified by the
	// user. A Model is considered to be exportable if it has at least one
	// [supported export
	// format][google.cloud.aiplatform.v1.Model.supported_export_formats].
	ExportModel(ctx context.Context, in *ExportModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Copies an already existing Vertex AI Model into the specified Location.
	// The source Model must exist in the same Project.
	// When copying custom Models, the users themselves are responsible for
	// [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be
	// region-agnostic, as well as making sure that any resources (e.g. files) it
	// depends on remain accessible.
	CopyModel(ctx context.Context, in *CopyModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Imports an externally generated ModelEvaluation.
	ImportModelEvaluation(ctx context.Context, in *ImportModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
	// Imports a list of externally generated ModelEvaluationSlice.
	BatchImportModelEvaluationSlices(ctx context.Context, in *BatchImportModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*BatchImportModelEvaluationSlicesResponse, error)
	// Imports a list of externally generated EvaluatedAnnotations.
	BatchImportEvaluatedAnnotations(ctx context.Context, in *BatchImportEvaluatedAnnotationsRequest, opts ...grpc.CallOption) (*BatchImportEvaluatedAnnotationsResponse, error)
	// Gets a ModelEvaluation.
	GetModelEvaluation(ctx context.Context, in *GetModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
	// Lists ModelEvaluations in a Model.
	ListModelEvaluations(ctx context.Context, in *ListModelEvaluationsRequest, opts ...grpc.CallOption) (*ListModelEvaluationsResponse, error)
	// Gets a ModelEvaluationSlice.
	GetModelEvaluationSlice(ctx context.Context, in *GetModelEvaluationSliceRequest, opts ...grpc.CallOption) (*ModelEvaluationSlice, error)
	// Lists ModelEvaluationSlices in a ModelEvaluation.
	ListModelEvaluationSlices(ctx context.Context, in *ListModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*ListModelEvaluationSlicesResponse, error)
}

ModelServiceClient is the client API for ModelService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewModelServiceClient 

func NewModelServiceClient(cc grpc.ClientConnInterface) ModelServiceClient

type ModelServiceServer 

type ModelServiceServer interface {
	// Uploads a Model artifact into Vertex AI.
	UploadModel(context.Context, *UploadModelRequest) (*longrunningpb.Operation, error)
	// Gets a Model.
	GetModel(context.Context, *GetModelRequest) (*Model, error)
	// Lists Models in a Location.
	ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)
	// Lists versions of the specified model.
	ListModelVersions(context.Context, *ListModelVersionsRequest) (*ListModelVersionsResponse, error)
	// Lists checkpoints of the specified model version.
	ListModelVersionCheckpoints(context.Context, *ListModelVersionCheckpointsRequest) (*ListModelVersionCheckpointsResponse, error)
	// Updates a Model.
	UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)
	// Incrementally update the dataset used for an examples model.
	UpdateExplanationDataset(context.Context, *UpdateExplanationDatasetRequest) (*longrunningpb.Operation, error)
	// Deletes a Model.
	//
	// A model cannot be deleted if any
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
	// model in its
	// [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
	// field.
	DeleteModel(context.Context, *DeleteModelRequest) (*longrunningpb.Operation, error)
	// Deletes a Model version.
	//
	// Model version can only be deleted if there are no
	// [DeployedModels][google.cloud.aiplatform.v1.DeployedModel] created from it.
	// Deleting the only version in the Model is not allowed. Use
	// [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for
	// deleting the Model instead.
	DeleteModelVersion(context.Context, *DeleteModelVersionRequest) (*longrunningpb.Operation, error)
	// Merges a set of aliases for a Model version.
	MergeVersionAliases(context.Context, *MergeVersionAliasesRequest) (*Model, error)
	// Exports a trained, exportable Model to a location specified by the
	// user. A Model is considered to be exportable if it has at least one
	// [supported export
	// format][google.cloud.aiplatform.v1.Model.supported_export_formats].
	ExportModel(context.Context, *ExportModelRequest) (*longrunningpb.Operation, error)
	// Copies an already existing Vertex AI Model into the specified Location.
	// The source Model must exist in the same Project.
	// When copying custom Models, the users themselves are responsible for
	// [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be
	// region-agnostic, as well as making sure that any resources (e.g. files) it
	// depends on remain accessible.
	CopyModel(context.Context, *CopyModelRequest) (*longrunningpb.Operation, error)
	// Imports an externally generated ModelEvaluation.
	ImportModelEvaluation(context.Context, *ImportModelEvaluationRequest) (*ModelEvaluation, error)
	// Imports a list of externally generated ModelEvaluationSlice.
	BatchImportModelEvaluationSlices(context.Context, *BatchImportModelEvaluationSlicesRequest) (*BatchImportModelEvaluationSlicesResponse, error)
	// Imports a list of externally generated EvaluatedAnnotations.
	BatchImportEvaluatedAnnotations(context.Context, *BatchImportEvaluatedAnnotationsRequest) (*BatchImportEvaluatedAnnotationsResponse, error)
	// Gets a ModelEvaluation.
	GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)
	// Lists ModelEvaluations in a Model.
	ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)
	// Gets a ModelEvaluationSlice.
	GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error)
	// Lists ModelEvaluationSlices in a ModelEvaluation.
	ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error)
}

ModelServiceServer is the server API for ModelService service.

type ModelSourceInfo 

type ModelSourceInfo struct {

	// Type of the model source.
	SourceType ModelSourceInfo_ModelSourceType `protobuf:"varint,1,opt,name=source_type,json=sourceType,proto3,enum=google.cloud.aiplatform.v1.ModelSourceInfo_ModelSourceType" json:"source_type,omitempty"`
	// If this Model is copy of another Model. If true then
	// [source_type][google.cloud.aiplatform.v1.ModelSourceInfo.source_type]
	// pertains to the original.
	Copy bool `protobuf:"varint,2,opt,name=copy,proto3" json:"copy,omitempty"`
	// contains filtered or unexported fields
}

Detail description of the source information of the model.

func (*ModelSourceInfo) Descriptor 

func (*ModelSourceInfo) Descriptor() ([]byte, []int)

Deprecated: Use ModelSourceInfo.ProtoReflect.Descriptor instead.

func (*ModelSourceInfo) GetCopy 

func (x *ModelSourceInfo) GetCopy() bool

func (*ModelSourceInfo) GetSourceType 

func (x *ModelSourceInfo) GetSourceType() ModelSourceInfo_ModelSourceType

func (*ModelSourceInfo) ProtoMessage 

func (*ModelSourceInfo) ProtoMessage()

func (*ModelSourceInfo) ProtoReflect 

func (x *ModelSourceInfo) ProtoReflect() protoreflect.Message

func (*ModelSourceInfo) Reset 

func (x *ModelSourceInfo) Reset()

func (*ModelSourceInfo) String 

func (x *ModelSourceInfo) String() string

type ModelSourceInfo_ModelSourceType 

type ModelSourceInfo_ModelSourceType int32

Source of the model. Different from `objective` field, this `ModelSourceType` enum indicates the source from which the model was accessed or obtained, whereas the `objective` indicates the overall aim or function of this model. 

const (
	// Should not be used.
	ModelSourceInfo_MODEL_SOURCE_TYPE_UNSPECIFIED ModelSourceInfo_ModelSourceType = 0
	// The Model is uploaded by automl training pipeline.
	ModelSourceInfo_AUTOML ModelSourceInfo_ModelSourceType = 1
	// The Model is uploaded by user or custom training pipeline.
	ModelSourceInfo_CUSTOM ModelSourceInfo_ModelSourceType = 2
	// The Model is registered and sync'ed from BigQuery ML.
	ModelSourceInfo_BQML ModelSourceInfo_ModelSourceType = 3
	// The Model is saved or tuned from Model Garden.
	ModelSourceInfo_MODEL_GARDEN ModelSourceInfo_ModelSourceType = 4
	// The Model is saved or tuned from Genie.
	ModelSourceInfo_GENIE ModelSourceInfo_ModelSourceType = 5
	// The Model is uploaded by text embedding finetuning pipeline.
	ModelSourceInfo_CUSTOM_TEXT_EMBEDDING ModelSourceInfo_ModelSourceType = 6
	// The Model is saved or tuned from Marketplace.
	ModelSourceInfo_MARKETPLACE ModelSourceInfo_ModelSourceType = 7
)

func (ModelSourceInfo_ModelSourceType) Descriptor 

func (ModelSourceInfo_ModelSourceType) Descriptor() protoreflect.EnumDescriptor

func (ModelSourceInfo_ModelSourceType) Enum 

func (x ModelSourceInfo_ModelSourceType) Enum() *ModelSourceInfo_ModelSourceType

func (ModelSourceInfo_ModelSourceType) EnumDescriptor 

func (ModelSourceInfo_ModelSourceType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelSourceInfo_ModelSourceType.Descriptor instead.

func (ModelSourceInfo_ModelSourceType) Number 

func (x ModelSourceInfo_ModelSourceType) Number() protoreflect.EnumNumber

func (ModelSourceInfo_ModelSourceType) String 

func (x ModelSourceInfo_ModelSourceType) String() string

func (ModelSourceInfo_ModelSourceType) Type 

func (ModelSourceInfo_ModelSourceType) Type() protoreflect.EnumType

type ModelVersionCheckpoint 

type ModelVersionCheckpoint struct {

	// The ID of the checkpoint.
	CheckpointId string `protobuf:"bytes,1,opt,name=checkpoint_id,json=checkpointId,proto3" json:"checkpoint_id,omitempty"`
	// The epoch of the checkpoint.
	Epoch int64 `protobuf:"varint,2,opt,name=epoch,proto3" json:"epoch,omitempty"`
	// The step of the checkpoint.
	Step int64 `protobuf:"varint,3,opt,name=step,proto3" json:"step,omitempty"`
	// contains filtered or unexported fields
}

A proto representation of a Spanner-stored ModelVersionCheckpoint. The meaning of the fields is equivalent to their in-Spanner counterparts.

func (*ModelVersionCheckpoint) Descriptor 

func (*ModelVersionCheckpoint) Descriptor() ([]byte, []int)

Deprecated: Use ModelVersionCheckpoint.ProtoReflect.Descriptor instead.

func (*ModelVersionCheckpoint) GetCheckpointId 

func (x *ModelVersionCheckpoint) GetCheckpointId() string

func (*ModelVersionCheckpoint) GetEpoch 

func (x *ModelVersionCheckpoint) GetEpoch() int64

func (*ModelVersionCheckpoint) GetStep 

func (x *ModelVersionCheckpoint) GetStep() int64

func (*ModelVersionCheckpoint) ProtoMessage 

func (*ModelVersionCheckpoint) ProtoMessage()

func (*ModelVersionCheckpoint) ProtoReflect 

func (x *ModelVersionCheckpoint) ProtoReflect() protoreflect.Message

func (*ModelVersionCheckpoint) Reset 

func (x *ModelVersionCheckpoint) Reset()

func (*ModelVersionCheckpoint) String 

func (x *ModelVersionCheckpoint) String() string

type Model_BaseModelSource 

type Model_BaseModelSource struct {

	// Types that are assignable to Source:
	//
	//	*Model_BaseModelSource_ModelGardenSource
	//	*Model_BaseModelSource_GenieSource
	Source isModel_BaseModelSource_Source `protobuf_oneof:"source"`
	// contains filtered or unexported fields
}

User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models.

func (*Model_BaseModelSource) Descriptor 

func (*Model_BaseModelSource) Descriptor() ([]byte, []int)

Deprecated: Use Model_BaseModelSource.ProtoReflect.Descriptor instead.

func (*Model_BaseModelSource) GetGenieSource 

func (x *Model_BaseModelSource) GetGenieSource() *GenieSource

func (*Model_BaseModelSource) GetModelGardenSource 

func (x *Model_BaseModelSource) GetModelGardenSource() *ModelGardenSource

func (*Model_BaseModelSource) GetSource 

func (m *Model_BaseModelSource) GetSource() isModel_BaseModelSource_Source

func (*Model_BaseModelSource) ProtoMessage 

func (*Model_BaseModelSource) ProtoMessage()

func (*Model_BaseModelSource) ProtoReflect 

func (x *Model_BaseModelSource) ProtoReflect() protoreflect.Message

func (*Model_BaseModelSource) Reset 

func (x *Model_BaseModelSource) Reset()

func (*Model_BaseModelSource) String 

func (x *Model_BaseModelSource) String() string

type Model_BaseModelSource_GenieSource 

type Model_BaseModelSource_GenieSource struct {
	// Information about the base model of Genie models.
	GenieSource *GenieSource `protobuf:"bytes,2,opt,name=genie_source,json=genieSource,proto3,oneof"`
}

type Model_BaseModelSource_ModelGardenSource 

type Model_BaseModelSource_ModelGardenSource struct {
	// Source information of Model Garden models.
	ModelGardenSource *ModelGardenSource `protobuf:"bytes,1,opt,name=model_garden_source,json=modelGardenSource,proto3,oneof"`
}

type Model_DataStats 

type Model_DataStats struct {

	// Number of DataItems that were used for training this Model.
	TrainingDataItemsCount int64 `protobuf:"varint,1,opt,name=training_data_items_count,json=trainingDataItemsCount,proto3" json:"training_data_items_count,omitempty"`
	// Number of DataItems that were used for validating this Model during
	// training.
	ValidationDataItemsCount int64 `protobuf:"varint,2,opt,name=validation_data_items_count,json=validationDataItemsCount,proto3" json:"validation_data_items_count,omitempty"`
	// Number of DataItems that were used for evaluating this Model. If the
	// Model is evaluated multiple times, this will be the number of test
	// DataItems used by the first evaluation. If the Model is not evaluated,
	// the number is 0.
	TestDataItemsCount int64 `protobuf:"varint,3,opt,name=test_data_items_count,json=testDataItemsCount,proto3" json:"test_data_items_count,omitempty"`
	// Number of Annotations that are used for training this Model.
	TrainingAnnotationsCount int64 `protobuf:"varint,4,opt,name=training_annotations_count,json=trainingAnnotationsCount,proto3" json:"training_annotations_count,omitempty"`
	// Number of Annotations that are used for validating this Model during
	// training.
	ValidationAnnotationsCount int64 `protobuf:"varint,5,opt,name=validation_annotations_count,json=validationAnnotationsCount,proto3" json:"validation_annotations_count,omitempty"`
	// Number of Annotations that are used for evaluating this Model. If the
	// Model is evaluated multiple times, this will be the number of test
	// Annotations used by the first evaluation. If the Model is not evaluated,
	// the number is 0.
	TestAnnotationsCount int64 `protobuf:"varint,6,opt,name=test_annotations_count,json=testAnnotationsCount,proto3" json:"test_annotations_count,omitempty"`
	// contains filtered or unexported fields
}

Stats of data used for train or evaluate the Model.

func (*Model_DataStats) Descriptor 

func (*Model_DataStats) Descriptor() ([]byte, []int)

Deprecated: Use Model_DataStats.ProtoReflect.Descriptor instead.

func (*Model_DataStats) GetTestAnnotationsCount 

func (x *Model_DataStats) GetTestAnnotationsCount() int64

func (*Model_DataStats) GetTestDataItemsCount 

func (x *Model_DataStats) GetTestDataItemsCount() int64

func (*Model_DataStats) GetTrainingAnnotationsCount 

func (x *Model_DataStats) GetTrainingAnnotationsCount() int64

func (*Model_DataStats) GetTrainingDataItemsCount 

func (x *Model_DataStats) GetTrainingDataItemsCount() int64

func (*Model_DataStats) GetValidationAnnotationsCount 

func (x *Model_DataStats) GetValidationAnnotationsCount() int64

func (*Model_DataStats) GetValidationDataItemsCount 

func (x *Model_DataStats) GetValidationDataItemsCount() int64

func (*Model_DataStats) ProtoMessage 

func (*Model_DataStats) ProtoMessage()

func (*Model_DataStats) ProtoReflect 

func (x *Model_DataStats) ProtoReflect() protoreflect.Message

func (*Model_DataStats) Reset 

func (x *Model_DataStats) Reset()

func (*Model_DataStats) String 

func (x *Model_DataStats) String() string

type Model_DeploymentResourcesType 

type Model_DeploymentResourcesType int32

Identifies a type of Model's prediction resources. 

const (
	// Should not be used.
	Model_DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED Model_DeploymentResourcesType = 0
	// Resources that are dedicated to the
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need
	// a higher degree of manual configuration.
	Model_DEDICATED_RESOURCES Model_DeploymentResourcesType = 1
	// Resources that to large degree are decided by Vertex AI, and require
	// only a modest additional configuration.
	Model_AUTOMATIC_RESOURCES Model_DeploymentResourcesType = 2
	// Resources that can be shared by multiple
	// [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]. A
	// pre-configured
	// [DeploymentResourcePool][google.cloud.aiplatform.v1.DeploymentResourcePool]
	// is required.
	Model_SHARED_RESOURCES Model_DeploymentResourcesType = 3
)

func (Model_DeploymentResourcesType) Descriptor 

func (Model_DeploymentResourcesType) Descriptor() protoreflect.EnumDescriptor

func (Model_DeploymentResourcesType) Enum 

func (x Model_DeploymentResourcesType) Enum() *Model_DeploymentResourcesType

func (Model_DeploymentResourcesType) EnumDescriptor 

func (Model_DeploymentResourcesType) EnumDescriptor() ([]byte, []int)

Deprecated: Use Model_DeploymentResourcesType.Descriptor instead.

func (Model_DeploymentResourcesType) Number 

func (x Model_DeploymentResourcesType) Number() protoreflect.EnumNumber

func (Model_DeploymentResourcesType) String 

func (x Model_DeploymentResourcesType) String() string

func (Model_DeploymentResourcesType) Type 

func (Model_DeploymentResourcesType) Type() protoreflect.EnumType

type Model_ExportFormat 

type Model_ExportFormat struct {

	// Output only. The ID of the export format.
	// The possible format IDs are:
	//
	// * `tflite`
	// Used for Android mobile devices.
	//
	// * `edgetpu-tflite`
	// Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
	//
	// * `tf-saved-model`
	// A tensorflow model in SavedModel format.
	//
	// * `tf-js`
	// A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
	// in the browser and in Node.js using JavaScript.
	//
	// * `core-ml`
	// Used for iOS mobile devices.
	//
	// * `custom-trained`
	// A Model that was uploaded or trained by custom code.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Output only. The content of this Model that may be exported.
	ExportableContents []Model_ExportFormat_ExportableContent `protobuf:"varint,2,rep,packed,name=exportable_contents,json=exportableContents,proto3,enum=google.cloud.aiplatform.v1.Model_ExportFormat_ExportableContent" json:"exportable_contents,omitempty"`
	// contains filtered or unexported fields
}

Represents export format supported by the Model. All formats export to Google Cloud Storage.

func (*Model_ExportFormat) Descriptor 

func (*Model_ExportFormat) Descriptor() ([]byte, []int)

Deprecated: Use Model_ExportFormat.ProtoReflect.Descriptor instead.

func (*Model_ExportFormat) GetExportableContents 

func (x *Model_ExportFormat) GetExportableContents() []Model_ExportFormat_ExportableContent

func (*Model_ExportFormat) GetId 

func (x *Model_ExportFormat) GetId() string

func (*Model_ExportFormat) ProtoMessage 

func (*Model_ExportFormat) ProtoMessage()

func (*Model_ExportFormat) ProtoReflect 

func (x *Model_ExportFormat) ProtoReflect() protoreflect.Message

func (*Model_ExportFormat) Reset 

func (x *Model_ExportFormat) Reset()

func (*Model_ExportFormat) String 

func (x *Model_ExportFormat) String() string

type Model_ExportFormat_ExportableContent 

type Model_ExportFormat_ExportableContent int32

The Model content that can be exported. 

const (
	// Should not be used.
	Model_ExportFormat_EXPORTABLE_CONTENT_UNSPECIFIED Model_ExportFormat_ExportableContent = 0
	// Model artifact and any of its supported files. Will be exported to the
	// location specified by the `artifactDestination` field of the
	// [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
	// object.
	Model_ExportFormat_ARTIFACT Model_ExportFormat_ExportableContent = 1
	// The container image that is to be used when deploying this Model. Will
	// be exported to the location specified by the `imageDestination` field
	// of the
	// [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
	// object.
	Model_ExportFormat_IMAGE Model_ExportFormat_ExportableContent = 2
)

func (Model_ExportFormat_ExportableContent) Descriptor 

func (Model_ExportFormat_ExportableContent) Descriptor() protoreflect.EnumDescriptor

func (Model_ExportFormat_ExportableContent) Enum 

func (x Model_ExportFormat_ExportableContent) Enum() *Model_ExportFormat_ExportableContent

func (Model_ExportFormat_ExportableContent) EnumDescriptor 

func (Model_ExportFormat_ExportableContent) EnumDescriptor() ([]byte, []int)

Deprecated: Use Model_ExportFormat_ExportableContent.Descriptor instead.

func (Model_ExportFormat_ExportableContent) Number 

func (x Model_ExportFormat_ExportableContent) Number() protoreflect.EnumNumber

func (Model_ExportFormat_ExportableContent) String 

func (x Model_ExportFormat_ExportableContent) String() string

func (Model_ExportFormat_ExportableContent) Type 

func (Model_ExportFormat_ExportableContent) Type() protoreflect.EnumType

type Model_OriginalModelInfo 

type Model_OriginalModelInfo struct {

	// Output only. The resource name of the Model this Model is a copy of,
	// including the revision. Format:
	// `projects/{project}/locations/{location}/models/{model_id}@{version_id}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// contains filtered or unexported fields
}

Contains information about the original Model if this Model is a copy.

func (*Model_OriginalModelInfo) Descriptor 

func (*Model_OriginalModelInfo) Descriptor() ([]byte, []int)

Deprecated: Use Model_OriginalModelInfo.ProtoReflect.Descriptor instead.

func (*Model_OriginalModelInfo) GetModel 

func (x *Model_OriginalModelInfo) GetModel() string

func (*Model_OriginalModelInfo) ProtoMessage 

func (*Model_OriginalModelInfo) ProtoMessage()

func (*Model_OriginalModelInfo) ProtoReflect 

func (x *Model_OriginalModelInfo) ProtoReflect() protoreflect.Message

func (*Model_OriginalModelInfo) Reset 

func (x *Model_OriginalModelInfo) Reset()

func (*Model_OriginalModelInfo) String 

func (x *Model_OriginalModelInfo) String() string

type MutateDeployedIndexOperationMetadata 

type MutateDeployedIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The unique index id specified by user
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].

func (*MutateDeployedIndexOperationMetadata) Descriptor 

func (*MutateDeployedIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*MutateDeployedIndexOperationMetadata) GetDeployedIndexId 

func (x *MutateDeployedIndexOperationMetadata) GetDeployedIndexId() string

func (*MutateDeployedIndexOperationMetadata) GetGenericMetadata 

func (x *MutateDeployedIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*MutateDeployedIndexOperationMetadata) ProtoMessage 

func (*MutateDeployedIndexOperationMetadata) ProtoMessage()

func (*MutateDeployedIndexOperationMetadata) ProtoReflect 

func (x *MutateDeployedIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*MutateDeployedIndexOperationMetadata) Reset 

func (x *MutateDeployedIndexOperationMetadata) Reset()

func (*MutateDeployedIndexOperationMetadata) String 

func (x *MutateDeployedIndexOperationMetadata) String() string

type MutateDeployedIndexRequest 

type MutateDeployedIndexRequest struct {

	// Required. The name of the IndexEndpoint resource into which to deploy an
	// Index. Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The DeployedIndex to be updated within the IndexEndpoint.
	// Currently, the updatable fields are
	// [DeployedIndex.automatic_resources][google.cloud.aiplatform.v1.DeployedIndex.automatic_resources]
	// and
	// [DeployedIndex.dedicated_resources][google.cloud.aiplatform.v1.DeployedIndex.dedicated_resources]
	DeployedIndex *DeployedIndex `protobuf:"bytes,2,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].

func (*MutateDeployedIndexRequest) Descriptor 

func (*MutateDeployedIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedIndexRequest.ProtoReflect.Descriptor instead.

func (*MutateDeployedIndexRequest) GetDeployedIndex 

func (x *MutateDeployedIndexRequest) GetDeployedIndex() *DeployedIndex

func (*MutateDeployedIndexRequest) GetIndexEndpoint 

func (x *MutateDeployedIndexRequest) GetIndexEndpoint() string

func (*MutateDeployedIndexRequest) ProtoMessage 

func (*MutateDeployedIndexRequest) ProtoMessage()

func (*MutateDeployedIndexRequest) ProtoReflect 

func (x *MutateDeployedIndexRequest) ProtoReflect() protoreflect.Message

func (*MutateDeployedIndexRequest) Reset 

func (x *MutateDeployedIndexRequest) Reset()

func (*MutateDeployedIndexRequest) String 

func (x *MutateDeployedIndexRequest) String() string

type MutateDeployedIndexResponse 

type MutateDeployedIndexResponse struct {

	// The DeployedIndex that had been updated in the IndexEndpoint.
	DeployedIndex *DeployedIndex `protobuf:"bytes,1,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].

func (*MutateDeployedIndexResponse) Descriptor 

func (*MutateDeployedIndexResponse) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedIndexResponse.ProtoReflect.Descriptor instead.

func (*MutateDeployedIndexResponse) GetDeployedIndex 

func (x *MutateDeployedIndexResponse) GetDeployedIndex() *DeployedIndex

func (*MutateDeployedIndexResponse) ProtoMessage 

func (*MutateDeployedIndexResponse) ProtoMessage()

func (*MutateDeployedIndexResponse) ProtoReflect 

func (x *MutateDeployedIndexResponse) ProtoReflect() protoreflect.Message

func (*MutateDeployedIndexResponse) Reset 

func (x *MutateDeployedIndexResponse) Reset()

func (*MutateDeployedIndexResponse) String 

func (x *MutateDeployedIndexResponse) String() string

type MutateDeployedModelOperationMetadata 

type MutateDeployedModelOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].

func (*MutateDeployedModelOperationMetadata) Descriptor 

func (*MutateDeployedModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*MutateDeployedModelOperationMetadata) GetGenericMetadata 

func (x *MutateDeployedModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*MutateDeployedModelOperationMetadata) ProtoMessage 

func (*MutateDeployedModelOperationMetadata) ProtoMessage()

func (*MutateDeployedModelOperationMetadata) ProtoReflect 

func (x *MutateDeployedModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*MutateDeployedModelOperationMetadata) Reset 

func (x *MutateDeployedModelOperationMetadata) Reset()

func (*MutateDeployedModelOperationMetadata) String 

func (x *MutateDeployedModelOperationMetadata) String() string

type MutateDeployedModelRequest 

type MutateDeployedModelRequest struct {

	// Required. The name of the Endpoint resource into which to mutate a
	// DeployedModel. Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The DeployedModel to be mutated within the Endpoint. Only the
	// following fields can be mutated:
	//
	// * `min_replica_count` in either
	// [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] or
	// [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources]
	// * `max_replica_count` in either
	// [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] or
	// [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources]
	// * [autoscaling_metric_specs][google.cloud.aiplatform.v1.DedicatedResources.autoscaling_metric_specs]
	// * `disable_container_logging` (v1 only)
	// * `enable_container_logging` (v1beta1 only)
	DeployedModel *DeployedModel `protobuf:"bytes,2,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// Required. The update mask applies to the resource. See
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,4,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].

func (*MutateDeployedModelRequest) Descriptor 

func (*MutateDeployedModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedModelRequest.ProtoReflect.Descriptor instead.

func (*MutateDeployedModelRequest) GetDeployedModel 

func (x *MutateDeployedModelRequest) GetDeployedModel() *DeployedModel

func (*MutateDeployedModelRequest) GetEndpoint 

func (x *MutateDeployedModelRequest) GetEndpoint() string

func (*MutateDeployedModelRequest) GetUpdateMask 

func (x *MutateDeployedModelRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*MutateDeployedModelRequest) ProtoMessage 

func (*MutateDeployedModelRequest) ProtoMessage()

func (*MutateDeployedModelRequest) ProtoReflect 

func (x *MutateDeployedModelRequest) ProtoReflect() protoreflect.Message

func (*MutateDeployedModelRequest) Reset 

func (x *MutateDeployedModelRequest) Reset()

func (*MutateDeployedModelRequest) String 

func (x *MutateDeployedModelRequest) String() string

type MutateDeployedModelResponse 

type MutateDeployedModelResponse struct {

	// The DeployedModel that's being mutated.
	DeployedModel *DeployedModel `protobuf:"bytes,1,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// contains filtered or unexported fields
}

Response message for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].

func (*MutateDeployedModelResponse) Descriptor 

func (*MutateDeployedModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedModelResponse.ProtoReflect.Descriptor instead.

func (*MutateDeployedModelResponse) GetDeployedModel 

func (x *MutateDeployedModelResponse) GetDeployedModel() *DeployedModel

func (*MutateDeployedModelResponse) ProtoMessage 

func (*MutateDeployedModelResponse) ProtoMessage()

func (*MutateDeployedModelResponse) ProtoReflect 

func (x *MutateDeployedModelResponse) ProtoReflect() protoreflect.Message

func (*MutateDeployedModelResponse) Reset 

func (x *MutateDeployedModelResponse) Reset()

func (*MutateDeployedModelResponse) String 

func (x *MutateDeployedModelResponse) String() string

type NasJob 

type NasJob struct {

	// Output only. Resource name of the NasJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the NasJob.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. The specification of a NasJob.
	NasJobSpec *NasJobSpec `protobuf:"bytes,4,opt,name=nas_job_spec,json=nasJobSpec,proto3" json:"nas_job_spec,omitempty"`
	// Output only. Output of the NasJob.
	NasJobOutput *NasJobOutput `protobuf:"bytes,5,opt,name=nas_job_output,json=nasJobOutput,proto3" json:"nas_job_output,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,6,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
	// Output only. Time when the NasJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the NasJob for the first time entered the
	// `JOB_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the NasJob entered any of the following states:
	// `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the NasJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Only populated when job's state is JOB_STATE_FAILED or
	// JOB_STATE_CANCELLED.
	Error *status.Status `protobuf:"bytes,11,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize NasJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,12,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Customer-managed encryption key options for a NasJob.
	// If this is set, then all resources created by the NasJob
	// will be encrypted with the provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,13,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Optional. Enable a separation of Custom model training
	// and restricted image training for tenant project.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/nas_job.proto.
	EnableRestrictedImageTraining bool `protobuf:"varint,14,opt,name=enable_restricted_image_training,json=enableRestrictedImageTraining,proto3" json:"enable_restricted_image_training,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,15,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,16,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Represents a Neural Architecture Search (NAS) job.

func (*NasJob) Descriptor 

func (*NasJob) Descriptor() ([]byte, []int)

Deprecated: Use NasJob.ProtoReflect.Descriptor instead.

func (*NasJob) GetCreateTime 

func (x *NasJob) GetCreateTime() *timestamppb.Timestamp

func (*NasJob) GetDisplayName 

func (x *NasJob) GetDisplayName() string

func (*NasJob) GetEnableRestrictedImageTraining 

func (x *NasJob) GetEnableRestrictedImageTraining() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/nas_job.proto.

func (*NasJob) GetEncryptionSpec 

func (x *NasJob) GetEncryptionSpec() *EncryptionSpec

func (*NasJob) GetEndTime 

func (x *NasJob) GetEndTime() *timestamppb.Timestamp

func (*NasJob) GetError 

func (x *NasJob) GetError() *status.Status

func (*NasJob) GetLabels 

func (x *NasJob) GetLabels() map[string]string

func (*NasJob) GetName 

func (x *NasJob) GetName() string

func (*NasJob) GetNasJobOutput 

func (x *NasJob) GetNasJobOutput() *NasJobOutput

func (*NasJob) GetNasJobSpec 

func (x *NasJob) GetNasJobSpec() *NasJobSpec

func (*NasJob) GetSatisfiesPzi 

func (x *NasJob) GetSatisfiesPzi() bool

func (*NasJob) GetSatisfiesPzs 

func (x *NasJob) GetSatisfiesPzs() bool

func (*NasJob) GetStartTime 

func (x *NasJob) GetStartTime() *timestamppb.Timestamp

func (*NasJob) GetState 

func (x *NasJob) GetState() JobState

func (*NasJob) GetUpdateTime 

func (x *NasJob) GetUpdateTime() *timestamppb.Timestamp

func (*NasJob) ProtoMessage 

func (*NasJob) ProtoMessage()

func (*NasJob) ProtoReflect 

func (x *NasJob) ProtoReflect() protoreflect.Message

func (*NasJob) Reset 

func (x *NasJob) Reset()

func (*NasJob) String 

func (x *NasJob) String() string

type NasJobOutput 

type NasJobOutput struct {

	// The output of this Neural Architecture Search (NAS) job.
	//
	// Types that are assignable to Output:
	//
	//	*NasJobOutput_MultiTrialJobOutput_
	Output isNasJobOutput_Output `protobuf_oneof:"output"`
	// contains filtered or unexported fields
}

Represents a uCAIP NasJob output.

func (*NasJobOutput) Descriptor 

func (*NasJobOutput) Descriptor() ([]byte, []int)

Deprecated: Use NasJobOutput.ProtoReflect.Descriptor instead.

func (*NasJobOutput) GetMultiTrialJobOutput 

func (x *NasJobOutput) GetMultiTrialJobOutput() *NasJobOutput_MultiTrialJobOutput

func (*NasJobOutput) GetOutput 

func (m *NasJobOutput) GetOutput() isNasJobOutput_Output

func (*NasJobOutput) ProtoMessage 

func (*NasJobOutput) ProtoMessage()

func (*NasJobOutput) ProtoReflect 

func (x *NasJobOutput) ProtoReflect() protoreflect.Message

func (*NasJobOutput) Reset 

func (x *NasJobOutput) Reset()

func (*NasJobOutput) String 

func (x *NasJobOutput) String() string

type NasJobOutput_MultiTrialJobOutput 

type NasJobOutput_MultiTrialJobOutput struct {

	// Output only. List of NasTrials that were started as part of search stage.
	SearchTrials []*NasTrial `protobuf:"bytes,1,rep,name=search_trials,json=searchTrials,proto3" json:"search_trials,omitempty"`
	// Output only. List of NasTrials that were started as part of train stage.
	TrainTrials []*NasTrial `protobuf:"bytes,2,rep,name=train_trials,json=trainTrials,proto3" json:"train_trials,omitempty"`
	// contains filtered or unexported fields
}

The output of a multi-trial Neural Architecture Search (NAS) jobs.

func (*NasJobOutput_MultiTrialJobOutput) Descriptor 

func (*NasJobOutput_MultiTrialJobOutput) Descriptor() ([]byte, []int)

Deprecated: Use NasJobOutput_MultiTrialJobOutput.ProtoReflect.Descriptor instead.

func (*NasJobOutput_MultiTrialJobOutput) GetSearchTrials 

func (x *NasJobOutput_MultiTrialJobOutput) GetSearchTrials() []*NasTrial

func (*NasJobOutput_MultiTrialJobOutput) GetTrainTrials 

func (x *NasJobOutput_MultiTrialJobOutput) GetTrainTrials() []*NasTrial

func (*NasJobOutput_MultiTrialJobOutput) ProtoMessage 

func (*NasJobOutput_MultiTrialJobOutput) ProtoMessage()

func (*NasJobOutput_MultiTrialJobOutput) ProtoReflect 

func (x *NasJobOutput_MultiTrialJobOutput) ProtoReflect() protoreflect.Message

func (*NasJobOutput_MultiTrialJobOutput) Reset 

func (x *NasJobOutput_MultiTrialJobOutput) Reset()

func (*NasJobOutput_MultiTrialJobOutput) String 

func (x *NasJobOutput_MultiTrialJobOutput) String() string

type NasJobOutput_MultiTrialJobOutput_ 

type NasJobOutput_MultiTrialJobOutput_ struct {
	// Output only. The output of this multi-trial Neural Architecture Search
	// (NAS) job.
	MultiTrialJobOutput *NasJobOutput_MultiTrialJobOutput `protobuf:"bytes,1,opt,name=multi_trial_job_output,json=multiTrialJobOutput,proto3,oneof"`
}

type NasJobSpec 

type NasJobSpec struct {

	// The Neural Architecture Search (NAS) algorithm specification.
	//
	// Types that are assignable to NasAlgorithmSpec:
	//
	//	*NasJobSpec_MultiTrialAlgorithmSpec_
	NasAlgorithmSpec isNasJobSpec_NasAlgorithmSpec `protobuf_oneof:"nas_algorithm_spec"`
	// The ID of the existing NasJob in the same Project and Location
	// which will be used to resume search. search_space_spec and
	// nas_algorithm_spec are obtained from previous NasJob hence should not
	// provide them again for this NasJob.
	ResumeNasJobId string `protobuf:"bytes,3,opt,name=resume_nas_job_id,json=resumeNasJobId,proto3" json:"resume_nas_job_id,omitempty"`
	// It defines the search space for Neural Architecture Search (NAS).
	SearchSpaceSpec string `protobuf:"bytes,1,opt,name=search_space_spec,json=searchSpaceSpec,proto3" json:"search_space_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of a NasJob.

func (*NasJobSpec) Descriptor 

func (*NasJobSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec) GetMultiTrialAlgorithmSpec 

func (x *NasJobSpec) GetMultiTrialAlgorithmSpec() *NasJobSpec_MultiTrialAlgorithmSpec

func (*NasJobSpec) GetNasAlgorithmSpec 

func (m *NasJobSpec) GetNasAlgorithmSpec() isNasJobSpec_NasAlgorithmSpec

func (*NasJobSpec) GetResumeNasJobId 

func (x *NasJobSpec) GetResumeNasJobId() string

func (*NasJobSpec) GetSearchSpaceSpec 

func (x *NasJobSpec) GetSearchSpaceSpec() string

func (*NasJobSpec) ProtoMessage 

func (*NasJobSpec) ProtoMessage()

func (*NasJobSpec) ProtoReflect 

func (x *NasJobSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec) Reset 

func (x *NasJobSpec) Reset()

func (*NasJobSpec) String 

func (x *NasJobSpec) String() string

type NasJobSpec_MultiTrialAlgorithmSpec 

type NasJobSpec_MultiTrialAlgorithmSpec struct {

	// The multi-trial Neural Architecture Search (NAS) algorithm
	// type. Defaults to `REINFORCEMENT_LEARNING`.
	MultiTrialAlgorithm NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm `protobuf:"varint,1,opt,name=multi_trial_algorithm,json=multiTrialAlgorithm,proto3,enum=google.cloud.aiplatform.v1.NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm" json:"multi_trial_algorithm,omitempty"`
	// Metric specs for the NAS job.
	// Validation for this field is done at `multi_trial_algorithm_spec` field.
	Metric *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec `protobuf:"bytes,2,opt,name=metric,proto3" json:"metric,omitempty"`
	// Required. Spec for search trials.
	SearchTrialSpec *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec `protobuf:"bytes,3,opt,name=search_trial_spec,json=searchTrialSpec,proto3" json:"search_trial_spec,omitempty"`
	// Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count]
	// search trials will be trained for every M
	// [TrainTrialSpec.frequency] trials searched.
	TrainTrialSpec *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec `protobuf:"bytes,4,opt,name=train_trial_spec,json=trainTrialSpec,proto3" json:"train_trial_spec,omitempty"`
	// contains filtered or unexported fields
}

The spec of multi-trial Neural Architecture Search (NAS).

func (*NasJobSpec_MultiTrialAlgorithmSpec) Descriptor 

func (*NasJobSpec_MultiTrialAlgorithmSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec_MultiTrialAlgorithmSpec) GetMetric 

func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetMetric() *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec) GetMultiTrialAlgorithm 

func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetMultiTrialAlgorithm() NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm

func (*NasJobSpec_MultiTrialAlgorithmSpec) GetSearchTrialSpec 

func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetSearchTrialSpec() *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec) GetTrainTrialSpec 

func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetTrainTrialSpec() *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec) ProtoMessage 

func (*NasJobSpec_MultiTrialAlgorithmSpec) ProtoMessage()

func (*NasJobSpec_MultiTrialAlgorithmSpec) ProtoReflect 

func (x *NasJobSpec_MultiTrialAlgorithmSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec_MultiTrialAlgorithmSpec) Reset 

func (x *NasJobSpec_MultiTrialAlgorithmSpec) Reset()

func (*NasJobSpec_MultiTrialAlgorithmSpec) String 

func (x *NasJobSpec_MultiTrialAlgorithmSpec) String() string

type NasJobSpec_MultiTrialAlgorithmSpec_ 

type NasJobSpec_MultiTrialAlgorithmSpec_ struct {
	// The spec of multi-trial algorithms.
	MultiTrialAlgorithmSpec *NasJobSpec_MultiTrialAlgorithmSpec `protobuf:"bytes,2,opt,name=multi_trial_algorithm_spec,json=multiTrialAlgorithmSpec,proto3,oneof"`
}

type NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec 

type NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec struct {

	// Required. The ID of the metric. Must not contain whitespaces.
	MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
	// Required. The optimization goal of the metric.
	Goal NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType `protobuf:"varint,2,opt,name=goal,proto3,enum=google.cloud.aiplatform.v1.NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType" json:"goal,omitempty"`
	// contains filtered or unexported fields
}

Represents a metric to optimize.

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Descriptor 

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetGoal 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetGoal() NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetMetricId 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetMetricId() string

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoMessage 

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoMessage()

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoReflect 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Reset 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Reset()

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) String 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) String() string

type NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType 

type NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType int32

The available types of optimization goals. 

const (
	// Goal Type will default to maximize.
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GOAL_TYPE_UNSPECIFIED NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType = 0
	// Maximize the goal metric.
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MAXIMIZE NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType = 1
	// Minimize the goal metric.
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MINIMIZE NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType = 2
)

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Descriptor 

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Descriptor() protoreflect.EnumDescriptor

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Enum 

func (x NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Enum() *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) EnumDescriptor 

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) EnumDescriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType.Descriptor instead.

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Number 

func (x NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Number() protoreflect.EnumNumber

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) String 

func (x NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) String() string

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Type 

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Type() protoreflect.EnumType

type NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm 

type NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm int32

The available types of multi-trial algorithms. 

const (
	// Defaults to `REINFORCEMENT_LEARNING`.
	NasJobSpec_MultiTrialAlgorithmSpec_MULTI_TRIAL_ALGORITHM_UNSPECIFIED NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm = 0
	// The Reinforcement Learning Algorithm for Multi-trial Neural
	// Architecture Search (NAS).
	NasJobSpec_MultiTrialAlgorithmSpec_REINFORCEMENT_LEARNING NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm = 1
	// The Grid Search Algorithm for Multi-trial Neural
	// Architecture Search (NAS).
	NasJobSpec_MultiTrialAlgorithmSpec_GRID_SEARCH NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm = 2
)

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Descriptor 

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Descriptor() protoreflect.EnumDescriptor

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Enum 

func (x NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Enum() *NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) EnumDescriptor 

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) EnumDescriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm.Descriptor instead.

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Number 

func (x NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Number() protoreflect.EnumNumber

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) String 

func (x NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) String() string

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Type 

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Type() protoreflect.EnumType

type NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec 

type NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec struct {

	// Required. The spec of a search trial job. The same spec applies to
	// all search trials.
	SearchTrialJobSpec *CustomJobSpec `protobuf:"bytes,1,opt,name=search_trial_job_spec,json=searchTrialJobSpec,proto3" json:"search_trial_job_spec,omitempty"`
	// Required. The maximum number of Neural Architecture Search (NAS) trials
	// to run.
	MaxTrialCount int32 `protobuf:"varint,2,opt,name=max_trial_count,json=maxTrialCount,proto3" json:"max_trial_count,omitempty"`
	// Required. The maximum number of trials to run in parallel.
	MaxParallelTrialCount int32 `protobuf:"varint,3,opt,name=max_parallel_trial_count,json=maxParallelTrialCount,proto3" json:"max_parallel_trial_count,omitempty"`
	// The number of failed trials that need to be seen before failing
	// the NasJob.
	//
	// If set to 0, Vertex AI decides how many trials must fail
	// before the whole job fails.
	MaxFailedTrialCount int32 `protobuf:"varint,4,opt,name=max_failed_trial_count,json=maxFailedTrialCount,proto3" json:"max_failed_trial_count,omitempty"`
	// contains filtered or unexported fields
}

Represent spec for search trials.

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Descriptor 

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxFailedTrialCount 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxFailedTrialCount() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxParallelTrialCount 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxParallelTrialCount() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxTrialCount 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxTrialCount() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetSearchTrialJobSpec 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetSearchTrialJobSpec() *CustomJobSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoMessage 

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoMessage()

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoReflect 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Reset 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Reset()

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) String 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) String() string

type NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec 

type NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec struct {

	// Required. The spec of a train trial job. The same spec applies to
	// all train trials.
	TrainTrialJobSpec *CustomJobSpec `protobuf:"bytes,1,opt,name=train_trial_job_spec,json=trainTrialJobSpec,proto3" json:"train_trial_job_spec,omitempty"`
	// Required. The maximum number of trials to run in parallel.
	MaxParallelTrialCount int32 `protobuf:"varint,2,opt,name=max_parallel_trial_count,json=maxParallelTrialCount,proto3" json:"max_parallel_trial_count,omitempty"`
	// Required. Frequency of search trials to start train stage. Top N
	// [TrainTrialSpec.max_parallel_trial_count]
	// search trials will be trained for every M
	// [TrainTrialSpec.frequency] trials searched.
	Frequency int32 `protobuf:"varint,3,opt,name=frequency,proto3" json:"frequency,omitempty"`
	// contains filtered or unexported fields
}

Represent spec for train trials.

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Descriptor 

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetFrequency 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetFrequency() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetMaxParallelTrialCount 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetMaxParallelTrialCount() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetTrainTrialJobSpec 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetTrainTrialJobSpec() *CustomJobSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoMessage 

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoMessage()

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoReflect 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Reset 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Reset()

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) String 

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) String() string

type NasTrial 

type NasTrial struct {

	// Output only. The identifier of the NasTrial assigned by the service.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Output only. The detailed state of the NasTrial.
	State NasTrial_State `protobuf:"varint,2,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.NasTrial_State" json:"state,omitempty"`
	// Output only. The final measurement containing the objective value.
	FinalMeasurement *Measurement `protobuf:"bytes,3,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
	// Output only. Time when the NasTrial was started.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the NasTrial's status changed to `SUCCEEDED` or
	// `INFEASIBLE`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Represents a uCAIP NasJob trial.

func (*NasTrial) Descriptor 

func (*NasTrial) Descriptor() ([]byte, []int)

Deprecated: Use NasTrial.ProtoReflect.Descriptor instead.

func (*NasTrial) GetEndTime 

func (x *NasTrial) GetEndTime() *timestamppb.Timestamp

func (*NasTrial) GetFinalMeasurement 

func (x *NasTrial) GetFinalMeasurement() *Measurement

func (*NasTrial) GetId 

func (x *NasTrial) GetId() string

func (*NasTrial) GetStartTime 

func (x *NasTrial) GetStartTime() *timestamppb.Timestamp

func (*NasTrial) GetState 

func (x *NasTrial) GetState() NasTrial_State

func (*NasTrial) ProtoMessage 

func (*NasTrial) ProtoMessage()

func (*NasTrial) ProtoReflect 

func (x *NasTrial) ProtoReflect() protoreflect.Message

func (*NasTrial) Reset 

func (x *NasTrial) Reset()

func (*NasTrial) String 

func (x *NasTrial) String() string

type NasTrialDetail 

type NasTrialDetail struct {

	// Output only. Resource name of the NasTrialDetail.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The parameters for the NasJob NasTrial.
	Parameters string `protobuf:"bytes,2,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// The requested search NasTrial.
	SearchTrial *NasTrial `protobuf:"bytes,3,opt,name=search_trial,json=searchTrial,proto3" json:"search_trial,omitempty"`
	// The train NasTrial corresponding to
	// [search_trial][google.cloud.aiplatform.v1.NasTrialDetail.search_trial].
	// Only populated if
	// [search_trial][google.cloud.aiplatform.v1.NasTrialDetail.search_trial] is
	// used for training.
	TrainTrial *NasTrial `protobuf:"bytes,4,opt,name=train_trial,json=trainTrial,proto3" json:"train_trial,omitempty"`
	// contains filtered or unexported fields
}

Represents a NasTrial details along with its parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned.

func (*NasTrialDetail) Descriptor 

func (*NasTrialDetail) Descriptor() ([]byte, []int)

Deprecated: Use NasTrialDetail.ProtoReflect.Descriptor instead.

func (*NasTrialDetail) GetName 

func (x *NasTrialDetail) GetName() string

func (*NasTrialDetail) GetParameters 

func (x *NasTrialDetail) GetParameters() string

func (*NasTrialDetail) GetSearchTrial 

func (x *NasTrialDetail) GetSearchTrial() *NasTrial

func (*NasTrialDetail) GetTrainTrial 

func (x *NasTrialDetail) GetTrainTrial() *NasTrial

func (*NasTrialDetail) ProtoMessage 

func (*NasTrialDetail) ProtoMessage()

func (*NasTrialDetail) ProtoReflect 

func (x *NasTrialDetail) ProtoReflect() protoreflect.Message

func (*NasTrialDetail) Reset 

func (x *NasTrialDetail) Reset()

func (*NasTrialDetail) String 

func (x *NasTrialDetail) String() string

type NasTrial_State 

type NasTrial_State int32

Describes a NasTrial state. 

const (
	// The NasTrial state is unspecified.
	NasTrial_STATE_UNSPECIFIED NasTrial_State = 0
	// Indicates that a specific NasTrial has been requested, but it has not yet
	// been suggested by the service.
	NasTrial_REQUESTED NasTrial_State = 1
	// Indicates that the NasTrial has been suggested.
	NasTrial_ACTIVE NasTrial_State = 2
	// Indicates that the NasTrial should stop according to the service.
	NasTrial_STOPPING NasTrial_State = 3
	// Indicates that the NasTrial is completed successfully.
	NasTrial_SUCCEEDED NasTrial_State = 4
	// Indicates that the NasTrial should not be attempted again.
	// The service will set a NasTrial to INFEASIBLE when it's done but missing
	// the final_measurement.
	NasTrial_INFEASIBLE NasTrial_State = 5
)

func (NasTrial_State) Descriptor 

func (NasTrial_State) Descriptor() protoreflect.EnumDescriptor

func (NasTrial_State) Enum 

func (x NasTrial_State) Enum() *NasTrial_State

func (NasTrial_State) EnumDescriptor 

func (NasTrial_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use NasTrial_State.Descriptor instead.

func (NasTrial_State) Number 

func (x NasTrial_State) Number() protoreflect.EnumNumber

func (NasTrial_State) String 

func (x NasTrial_State) String() string

func (NasTrial_State) Type 

func (NasTrial_State) Type() protoreflect.EnumType

type NearestNeighborQuery 

type NearestNeighborQuery struct {

	// Types that are assignable to Instance:
	//
	//	*NearestNeighborQuery_EntityId
	//	*NearestNeighborQuery_Embedding_
	Instance isNearestNeighborQuery_Instance `protobuf_oneof:"instance"`
	// Optional. The number of similar entities to be retrieved from feature view
	// for each query.
	NeighborCount int32 `protobuf:"varint,3,opt,name=neighbor_count,json=neighborCount,proto3" json:"neighbor_count,omitempty"`
	// Optional. The list of string filters.
	StringFilters []*NearestNeighborQuery_StringFilter `protobuf:"bytes,4,rep,name=string_filters,json=stringFilters,proto3" json:"string_filters,omitempty"`
	// Optional. The list of numeric filters.
	NumericFilters []*NearestNeighborQuery_NumericFilter `protobuf:"bytes,8,rep,name=numeric_filters,json=numericFilters,proto3" json:"numeric_filters,omitempty"`
	// Optional. Crowding is a constraint on a neighbor list produced by nearest
	// neighbor search requiring that no more than
	// sper_crowding_attribute_neighbor_count of the k neighbors returned have the
	// same value of crowding_attribute. It's used for improving result diversity.
	PerCrowdingAttributeNeighborCount int32 `protobuf:"varint,5,opt,name=per_crowding_attribute_neighbor_count,json=perCrowdingAttributeNeighborCount,proto3" json:"per_crowding_attribute_neighbor_count,omitempty"`
	// Optional. Parameters that can be set to tune query on the fly.
	Parameters *NearestNeighborQuery_Parameters `protobuf:"bytes,7,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

A query to find a number of similar entities.

func (*NearestNeighborQuery) Descriptor 

func (*NearestNeighborQuery) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborQuery.ProtoReflect.Descriptor instead.

func (*NearestNeighborQuery) GetEmbedding 

func (x *NearestNeighborQuery) GetEmbedding() *NearestNeighborQuery_Embedding

func (*NearestNeighborQuery) GetEntityId 

func (x *NearestNeighborQuery) GetEntityId() string

func (*NearestNeighborQuery) GetInstance 

func (m *NearestNeighborQuery) GetInstance() isNearestNeighborQuery_Instance

func (*NearestNeighborQuery) GetNeighborCount 

func (x *NearestNeighborQuery) GetNeighborCount() int32

func (*NearestNeighborQuery) GetNumericFilters 

func (x *NearestNeighborQuery) GetNumericFilters() []*NearestNeighborQuery_NumericFilter

func (*NearestNeighborQuery) GetParameters 

func (x *NearestNeighborQuery) GetParameters() *NearestNeighborQuery_Parameters

func (*NearestNeighborQuery) GetPerCrowdingAttributeNeighborCount 

func (x *NearestNeighborQuery) GetPerCrowdingAttributeNeighborCount() int32

func (*NearestNeighborQuery) GetStringFilters 

func (x *NearestNeighborQuery) GetStringFilters() []*NearestNeighborQuery_StringFilter

func (*NearestNeighborQuery) ProtoMessage 

func (*NearestNeighborQuery) ProtoMessage()

func (*NearestNeighborQuery) ProtoReflect 

func (x *NearestNeighborQuery) ProtoReflect() protoreflect.Message

func (*NearestNeighborQuery) Reset 

func (x *NearestNeighborQuery) Reset()

func (*NearestNeighborQuery) String 

func (x *NearestNeighborQuery) String() string

type NearestNeighborQuery_Embedding 

type NearestNeighborQuery_Embedding struct {

	// Optional. Individual value in the embedding.
	Value []float32 `protobuf:"fixed32,1,rep,packed,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

The embedding vector.

func (*NearestNeighborQuery_Embedding) Descriptor 

func (*NearestNeighborQuery_Embedding) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborQuery_Embedding.ProtoReflect.Descriptor instead.

func (*NearestNeighborQuery_Embedding) GetValue 

func (x *NearestNeighborQuery_Embedding) GetValue() []float32

func (*NearestNeighborQuery_Embedding) ProtoMessage 

func (*NearestNeighborQuery_Embedding) ProtoMessage()

func (*NearestNeighborQuery_Embedding) ProtoReflect 

func (x *NearestNeighborQuery_Embedding) ProtoReflect() protoreflect.Message

func (*NearestNeighborQuery_Embedding) Reset 

func (x *NearestNeighborQuery_Embedding) Reset()

func (*NearestNeighborQuery_Embedding) String 

func (x *NearestNeighborQuery_Embedding) String() string

type NearestNeighborQuery_Embedding_ 

type NearestNeighborQuery_Embedding_ struct {
	// Optional. The embedding vector that be used for similar search.
	Embedding *NearestNeighborQuery_Embedding `protobuf:"bytes,2,opt,name=embedding,proto3,oneof"`
}

type NearestNeighborQuery_EntityId 

type NearestNeighborQuery_EntityId struct {
	// Optional. The entity id whose similar entities should be searched for.
	// If embedding is set, search will use embedding instead of
	// entity_id.
	EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3,oneof"`
}

type NearestNeighborQuery_NumericFilter 

type NearestNeighborQuery_NumericFilter struct {

	// The type of Value must be consistent for all datapoints with a given
	// name.  This is verified at runtime.
	//
	// Types that are assignable to Value:
	//
	//	*NearestNeighborQuery_NumericFilter_ValueInt
	//	*NearestNeighborQuery_NumericFilter_ValueFloat
	//	*NearestNeighborQuery_NumericFilter_ValueDouble
	Value isNearestNeighborQuery_NumericFilter_Value `protobuf_oneof:"Value"`
	// Required. Column name in BigQuery that used as filters.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. This MUST be specified for queries and must NOT be specified
	// for database points.
	Op *NearestNeighborQuery_NumericFilter_Operator `protobuf:"varint,5,opt,name=op,proto3,enum=google.cloud.aiplatform.v1.NearestNeighborQuery_NumericFilter_Operator,oneof" json:"op,omitempty"`
	// contains filtered or unexported fields
}

Numeric filter is used to search a subset of the entities by using boolean rules on numeric columns. For example: Database Point 0: {name: "a" value_int: 42} {name: "b" value_float: 1.0} Database Point 1: {name: "a" value_int: 10} {name: "b" value_float: 2.0} Database Point 2: {name: "a" value_int: -1} {name: "b" value_float: 3.0} Query: {name: "a" value_int: 12 operator: LESS} // Matches Point 1, 2 {name: "b" value_float: 2.0 operator: EQUAL} // Matches Point 1

func (*NearestNeighborQuery_NumericFilter) Descriptor 

func (*NearestNeighborQuery_NumericFilter) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborQuery_NumericFilter.ProtoReflect.Descriptor instead.

func (*NearestNeighborQuery_NumericFilter) GetName 

func (x *NearestNeighborQuery_NumericFilter) GetName() string

func (*NearestNeighborQuery_NumericFilter) GetOp 

func (x *NearestNeighborQuery_NumericFilter) GetOp() NearestNeighborQuery_NumericFilter_Operator

func (*NearestNeighborQuery_NumericFilter) GetValue 

func (m *NearestNeighborQuery_NumericFilter) GetValue() isNearestNeighborQuery_NumericFilter_Value

func (*NearestNeighborQuery_NumericFilter) GetValueDouble 

func (x *NearestNeighborQuery_NumericFilter) GetValueDouble() float64

func (*NearestNeighborQuery_NumericFilter) GetValueFloat 

func (x *NearestNeighborQuery_NumericFilter) GetValueFloat() float32

func (*NearestNeighborQuery_NumericFilter) GetValueInt 

func (x *NearestNeighborQuery_NumericFilter) GetValueInt() int64

func (*NearestNeighborQuery_NumericFilter) ProtoMessage 

func (*NearestNeighborQuery_NumericFilter) ProtoMessage()

func (*NearestNeighborQuery_NumericFilter) ProtoReflect 

func (x *NearestNeighborQuery_NumericFilter) ProtoReflect() protoreflect.Message

func (*NearestNeighborQuery_NumericFilter) Reset 

func (x *NearestNeighborQuery_NumericFilter) Reset()

func (*NearestNeighborQuery_NumericFilter) String 

func (x *NearestNeighborQuery_NumericFilter) String() string

type NearestNeighborQuery_NumericFilter_Operator 

type NearestNeighborQuery_NumericFilter_Operator int32

Datapoints for which Operator is true relative to the query's Value field will be allowlisted. 

const (
	// Unspecified operator.
	NearestNeighborQuery_NumericFilter_OPERATOR_UNSPECIFIED NearestNeighborQuery_NumericFilter_Operator = 0
	// Entities are eligible if their value is < the query's.
	NearestNeighborQuery_NumericFilter_LESS NearestNeighborQuery_NumericFilter_Operator = 1
	// Entities are eligible if their value is <= the query's.
	NearestNeighborQuery_NumericFilter_LESS_EQUAL NearestNeighborQuery_NumericFilter_Operator = 2
	// Entities are eligible if their value is == the query's.
	NearestNeighborQuery_NumericFilter_EQUAL NearestNeighborQuery_NumericFilter_Operator = 3
	// Entities are eligible if their value is >= the query's.
	NearestNeighborQuery_NumericFilter_GREATER_EQUAL NearestNeighborQuery_NumericFilter_Operator = 4
	// Entities are eligible if their value is > the query's.
	NearestNeighborQuery_NumericFilter_GREATER NearestNeighborQuery_NumericFilter_Operator = 5
	// Entities are eligible if their value is != the query's.
	NearestNeighborQuery_NumericFilter_NOT_EQUAL NearestNeighborQuery_NumericFilter_Operator = 6
)

func (NearestNeighborQuery_NumericFilter_Operator) Descriptor 

func (NearestNeighborQuery_NumericFilter_Operator) Descriptor() protoreflect.EnumDescriptor

func (NearestNeighborQuery_NumericFilter_Operator) Enum 

func (x NearestNeighborQuery_NumericFilter_Operator) Enum() *NearestNeighborQuery_NumericFilter_Operator

func (NearestNeighborQuery_NumericFilter_Operator) EnumDescriptor 

func (NearestNeighborQuery_NumericFilter_Operator) EnumDescriptor() ([]byte, []int)

Deprecated: Use NearestNeighborQuery_NumericFilter_Operator.Descriptor instead.

func (NearestNeighborQuery_NumericFilter_Operator) Number 

func (x NearestNeighborQuery_NumericFilter_Operator) Number() protoreflect.EnumNumber

func (NearestNeighborQuery_NumericFilter_Operator) String 

func (x NearestNeighborQuery_NumericFilter_Operator) String() string

func (NearestNeighborQuery_NumericFilter_Operator) Type 

func (NearestNeighborQuery_NumericFilter_Operator) Type() protoreflect.EnumType

type NearestNeighborQuery_NumericFilter_ValueDouble 

type NearestNeighborQuery_NumericFilter_ValueDouble struct {
	// double value type.
	ValueDouble float64 `protobuf:"fixed64,4,opt,name=value_double,json=valueDouble,proto3,oneof"`
}

type NearestNeighborQuery_NumericFilter_ValueFloat 

type NearestNeighborQuery_NumericFilter_ValueFloat struct {
	// float value type.
	ValueFloat float32 `protobuf:"fixed32,3,opt,name=value_float,json=valueFloat,proto3,oneof"`
}

type NearestNeighborQuery_NumericFilter_ValueInt 

type NearestNeighborQuery_NumericFilter_ValueInt struct {
	// int value type.
	ValueInt int64 `protobuf:"varint,2,opt,name=value_int,json=valueInt,proto3,oneof"`
}

type NearestNeighborQuery_Parameters 

type NearestNeighborQuery_Parameters struct {

	// Optional. The number of neighbors to find via approximate search before
	// exact reordering is performed; if set, this value must be >
	// neighbor_count.
	ApproximateNeighborCandidates int32 `protobuf:"varint,1,opt,name=approximate_neighbor_candidates,json=approximateNeighborCandidates,proto3" json:"approximate_neighbor_candidates,omitempty"`
	// Optional. The fraction of the number of leaves to search, set at query
	// time allows user to tune search performance. This value increase result
	// in both search accuracy and latency increase. The value should be between
	// 0.0 and 1.0.
	LeafNodesSearchFraction float64 `protobuf:"fixed64,2,opt,name=leaf_nodes_search_fraction,json=leafNodesSearchFraction,proto3" json:"leaf_nodes_search_fraction,omitempty"`
	// contains filtered or unexported fields
}

Parameters that can be overrided in each query to tune query latency and recall.

func (*NearestNeighborQuery_Parameters) Descriptor 

func (*NearestNeighborQuery_Parameters) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborQuery_Parameters.ProtoReflect.Descriptor instead.

func (*NearestNeighborQuery_Parameters) GetApproximateNeighborCandidates 

func (x *NearestNeighborQuery_Parameters) GetApproximateNeighborCandidates() int32

func (*NearestNeighborQuery_Parameters) GetLeafNodesSearchFraction 

func (x *NearestNeighborQuery_Parameters) GetLeafNodesSearchFraction() float64

func (*NearestNeighborQuery_Parameters) ProtoMessage 

func (*NearestNeighborQuery_Parameters) ProtoMessage()

func (*NearestNeighborQuery_Parameters) ProtoReflect 

func (x *NearestNeighborQuery_Parameters) ProtoReflect() protoreflect.Message

func (*NearestNeighborQuery_Parameters) Reset 

func (x *NearestNeighborQuery_Parameters) Reset()

func (*NearestNeighborQuery_Parameters) String 

func (x *NearestNeighborQuery_Parameters) String() string

type NearestNeighborQuery_StringFilter 

type NearestNeighborQuery_StringFilter struct {

	// Required. Column names in BigQuery that used as filters.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The allowed tokens.
	AllowTokens []string `protobuf:"bytes,2,rep,name=allow_tokens,json=allowTokens,proto3" json:"allow_tokens,omitempty"`
	// Optional. The denied tokens.
	DenyTokens []string `protobuf:"bytes,3,rep,name=deny_tokens,json=denyTokens,proto3" json:"deny_tokens,omitempty"`
	// contains filtered or unexported fields
}

String filter is used to search a subset of the entities by using boolean rules on string columns. For example: if a query specifies string filter with 'name = color, allow_tokens = {red, blue}, deny_tokens = {purple}',' then that query will match entities that are red or blue, but if those points are also purple, then they will be excluded even if they are red/blue. Only string filter is supported for now, numeric filter will be supported in the near future.

func (*NearestNeighborQuery_StringFilter) Descriptor 

func (*NearestNeighborQuery_StringFilter) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborQuery_StringFilter.ProtoReflect.Descriptor instead.

func (*NearestNeighborQuery_StringFilter) GetAllowTokens 

func (x *NearestNeighborQuery_StringFilter) GetAllowTokens() []string

func (*NearestNeighborQuery_StringFilter) GetDenyTokens 

func (x *NearestNeighborQuery_StringFilter) GetDenyTokens() []string

func (*NearestNeighborQuery_StringFilter) GetName 

func (x *NearestNeighborQuery_StringFilter) GetName() string

func (*NearestNeighborQuery_StringFilter) ProtoMessage 

func (*NearestNeighborQuery_StringFilter) ProtoMessage()

func (*NearestNeighborQuery_StringFilter) ProtoReflect 

func (x *NearestNeighborQuery_StringFilter) ProtoReflect() protoreflect.Message

func (*NearestNeighborQuery_StringFilter) Reset 

func (x *NearestNeighborQuery_StringFilter) Reset()

func (*NearestNeighborQuery_StringFilter) String 

func (x *NearestNeighborQuery_StringFilter) String() string

type NearestNeighborSearchOperationMetadata 

type NearestNeighborSearchOperationMetadata struct {

	// The validation stats of the content (per file) to be inserted or
	// updated on the Matching Engine Index resource. Populated if
	// contentsDeltaUri is provided as part of
	// [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
	// that, currently for those files that are broken or has unsupported file
	// format, we will not have the stats for those files.
	ContentValidationStats []*NearestNeighborSearchOperationMetadata_ContentValidationStats `protobuf:"bytes,1,rep,name=content_validation_stats,json=contentValidationStats,proto3" json:"content_validation_stats,omitempty"`
	// The ingested data size in bytes.
	DataBytesCount int64 `protobuf:"varint,2,opt,name=data_bytes_count,json=dataBytesCount,proto3" json:"data_bytes_count,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation metadata with regard to Matching Engine Index.

func (*NearestNeighborSearchOperationMetadata) Descriptor 

func (*NearestNeighborSearchOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata.ProtoReflect.Descriptor instead.

func (*NearestNeighborSearchOperationMetadata) GetContentValidationStats 

func (x *NearestNeighborSearchOperationMetadata) GetContentValidationStats() []*NearestNeighborSearchOperationMetadata_ContentValidationStats

func (*NearestNeighborSearchOperationMetadata) GetDataBytesCount 

func (x *NearestNeighborSearchOperationMetadata) GetDataBytesCount() int64

func (*NearestNeighborSearchOperationMetadata) ProtoMessage 

func (*NearestNeighborSearchOperationMetadata) ProtoMessage()

func (*NearestNeighborSearchOperationMetadata) ProtoReflect 

func (x *NearestNeighborSearchOperationMetadata) ProtoReflect() protoreflect.Message

func (*NearestNeighborSearchOperationMetadata) Reset 

func (x *NearestNeighborSearchOperationMetadata) Reset()

func (*NearestNeighborSearchOperationMetadata) String 

func (x *NearestNeighborSearchOperationMetadata) String() string

type NearestNeighborSearchOperationMetadata_ContentValidationStats 

type NearestNeighborSearchOperationMetadata_ContentValidationStats struct {

	// Cloud Storage URI pointing to the original file in user's bucket.
	SourceGcsUri string `protobuf:"bytes,1,opt,name=source_gcs_uri,json=sourceGcsUri,proto3" json:"source_gcs_uri,omitempty"`
	// Number of records in this file that were successfully processed.
	ValidRecordCount int64 `protobuf:"varint,2,opt,name=valid_record_count,json=validRecordCount,proto3" json:"valid_record_count,omitempty"`
	// Number of records in this file we skipped due to validate errors.
	InvalidRecordCount int64 `protobuf:"varint,3,opt,name=invalid_record_count,json=invalidRecordCount,proto3" json:"invalid_record_count,omitempty"`
	// The detail information of the partial failures encountered for those
	// invalid records that couldn't be parsed.
	// Up to 50 partial errors will be reported.
	PartialErrors []*NearestNeighborSearchOperationMetadata_RecordError `protobuf:"bytes,4,rep,name=partial_errors,json=partialErrors,proto3" json:"partial_errors,omitempty"`
	// Number of sparse records in this file that were successfully processed.
	ValidSparseRecordCount int64 `protobuf:"varint,5,opt,name=valid_sparse_record_count,json=validSparseRecordCount,proto3" json:"valid_sparse_record_count,omitempty"`
	// Number of sparse records in this file we skipped due to validate errors.
	InvalidSparseRecordCount int64 `protobuf:"varint,6,opt,name=invalid_sparse_record_count,json=invalidSparseRecordCount,proto3" json:"invalid_sparse_record_count,omitempty"`
	// contains filtered or unexported fields
}

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Descriptor 

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata_ContentValidationStats.ProtoReflect.Descriptor instead.

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidRecordCount 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidRecordCount() int64

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidSparseRecordCount 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidSparseRecordCount() int64

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetPartialErrors 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetPartialErrors() []*NearestNeighborSearchOperationMetadata_RecordError

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetSourceGcsUri 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetSourceGcsUri() string

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidRecordCount 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidRecordCount() int64

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidSparseRecordCount 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidSparseRecordCount() int64

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoMessage 

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoMessage()

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoReflect 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoReflect() protoreflect.Message

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Reset 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) Reset()

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) String 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) String() string

type NearestNeighborSearchOperationMetadata_RecordError 

type NearestNeighborSearchOperationMetadata_RecordError struct {

	// The error type of this record.
	ErrorType NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType `protobuf:"varint,1,opt,name=error_type,json=errorType,proto3,enum=google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType" json:"error_type,omitempty"`
	// A human-readable message that is shown to the user to help them fix the
	// error. Note that this message may change from time to time, your code
	// should check against error_type as the source of truth.
	ErrorMessage string `protobuf:"bytes,2,opt,name=error_message,json=errorMessage,proto3" json:"error_message,omitempty"`
	// Cloud Storage URI pointing to the original file in user's bucket.
	SourceGcsUri string `protobuf:"bytes,3,opt,name=source_gcs_uri,json=sourceGcsUri,proto3" json:"source_gcs_uri,omitempty"`
	// Empty if the embedding id is failed to parse.
	EmbeddingId string `protobuf:"bytes,4,opt,name=embedding_id,json=embeddingId,proto3" json:"embedding_id,omitempty"`
	// The original content of this record.
	RawRecord string `protobuf:"bytes,5,opt,name=raw_record,json=rawRecord,proto3" json:"raw_record,omitempty"`
	// contains filtered or unexported fields
}

func (*NearestNeighborSearchOperationMetadata_RecordError) Descriptor 

func (*NearestNeighborSearchOperationMetadata_RecordError) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata_RecordError.ProtoReflect.Descriptor instead.

func (*NearestNeighborSearchOperationMetadata_RecordError) GetEmbeddingId 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetEmbeddingId() string

func (*NearestNeighborSearchOperationMetadata_RecordError) GetErrorMessage 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetErrorMessage() string

func (*NearestNeighborSearchOperationMetadata_RecordError) GetErrorType 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetErrorType() NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType

func (*NearestNeighborSearchOperationMetadata_RecordError) GetRawRecord 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetRawRecord() string

func (*NearestNeighborSearchOperationMetadata_RecordError) GetSourceGcsUri 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetSourceGcsUri() string

func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoMessage 

func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoMessage()

func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoReflect 

func (x *NearestNeighborSearchOperationMetadata_RecordError) ProtoReflect() protoreflect.Message

func (*NearestNeighborSearchOperationMetadata_RecordError) Reset 

func (x *NearestNeighborSearchOperationMetadata_RecordError) Reset()

func (*NearestNeighborSearchOperationMetadata_RecordError) String 

func (x *NearestNeighborSearchOperationMetadata_RecordError) String() string

type NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType 

type NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType int32
const (
	// Default, shall not be used.
	NearestNeighborSearchOperationMetadata_RecordError_ERROR_TYPE_UNSPECIFIED NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 0
	// The record is empty.
	NearestNeighborSearchOperationMetadata_RecordError_EMPTY_LINE NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 1
	// Invalid json format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_JSON_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 2
	// Invalid csv format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_CSV_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 3
	// Invalid avro format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_AVRO_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 4
	// The embedding id is not valid.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_EMBEDDING_ID NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 5
	// The size of the dense embedding vectors does not match with the
	// specified dimension.
	NearestNeighborSearchOperationMetadata_RecordError_EMBEDDING_SIZE_MISMATCH NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 6
	// The `namespace` field is missing.
	NearestNeighborSearchOperationMetadata_RecordError_NAMESPACE_MISSING NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 7
	// Generic catch-all error. Only used for validation failure where the
	// root cause cannot be easily retrieved programmatically.
	NearestNeighborSearchOperationMetadata_RecordError_PARSING_ERROR NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 8
	// There are multiple restricts with the same `namespace` value.
	NearestNeighborSearchOperationMetadata_RecordError_DUPLICATE_NAMESPACE NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 9
	// Numeric restrict has operator specified in datapoint.
	NearestNeighborSearchOperationMetadata_RecordError_OP_IN_DATAPOINT NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 10
	// Numeric restrict has multiple values specified.
	NearestNeighborSearchOperationMetadata_RecordError_MULTIPLE_VALUES NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 11
	// Numeric restrict has invalid numeric value specified.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_NUMERIC_VALUE NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 12
	// File is not in UTF_8 format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_ENCODING NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 13
	// Error parsing sparse dimensions field.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_SPARSE_DIMENSIONS NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 14
	// Token restrict value is invalid.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_TOKEN_VALUE NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 15
	// Invalid sparse embedding.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_SPARSE_EMBEDDING NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 16
	// Invalid dense embedding.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_EMBEDDING NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 17
)

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Descriptor 

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Descriptor() protoreflect.EnumDescriptor

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Enum 

func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Enum() *NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) EnumDescriptor 

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) EnumDescriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType.Descriptor instead.

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Number 

func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Number() protoreflect.EnumNumber

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) String 

func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) String() string

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Type 

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Type() protoreflect.EnumType

type NearestNeighbors 

type NearestNeighbors struct {

	// All its neighbors.
	Neighbors []*NearestNeighbors_Neighbor `protobuf:"bytes,1,rep,name=neighbors,proto3" json:"neighbors,omitempty"`
	// contains filtered or unexported fields
}

Nearest neighbors for one query.

func (*NearestNeighbors) Descriptor 

func (*NearestNeighbors) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighbors.ProtoReflect.Descriptor instead.

func (*NearestNeighbors) GetNeighbors 

func (x *NearestNeighbors) GetNeighbors() []*NearestNeighbors_Neighbor

func (*NearestNeighbors) ProtoMessage 

func (*NearestNeighbors) ProtoMessage()

func (*NearestNeighbors) ProtoReflect 

func (x *NearestNeighbors) ProtoReflect() protoreflect.Message

func (*NearestNeighbors) Reset 

func (x *NearestNeighbors) Reset()

func (*NearestNeighbors) String 

func (x *NearestNeighbors) String() string

type NearestNeighbors_Neighbor 

type NearestNeighbors_Neighbor struct {

	// The id of the similar entity.
	EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
	// The distance between the neighbor and the query vector.
	Distance float64 `protobuf:"fixed64,2,opt,name=distance,proto3" json:"distance,omitempty"`
	// The attributes of the neighbor, e.g. filters, crowding and metadata
	// Note that full entities are returned only when "return_full_entity"
	// is set to true. Otherwise, only the "entity_id" and "distance" fields
	// are populated.
	EntityKeyValues *FetchFeatureValuesResponse `protobuf:"bytes,3,opt,name=entity_key_values,json=entityKeyValues,proto3" json:"entity_key_values,omitempty"`
	// contains filtered or unexported fields
}

A neighbor of the query vector.

func (*NearestNeighbors_Neighbor) Descriptor 

func (*NearestNeighbors_Neighbor) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighbors_Neighbor.ProtoReflect.Descriptor instead.

func (*NearestNeighbors_Neighbor) GetDistance 

func (x *NearestNeighbors_Neighbor) GetDistance() float64

func (*NearestNeighbors_Neighbor) GetEntityId 

func (x *NearestNeighbors_Neighbor) GetEntityId() string

func (*NearestNeighbors_Neighbor) GetEntityKeyValues 

func (x *NearestNeighbors_Neighbor) GetEntityKeyValues() *FetchFeatureValuesResponse

func (*NearestNeighbors_Neighbor) ProtoMessage 

func (*NearestNeighbors_Neighbor) ProtoMessage()

func (*NearestNeighbors_Neighbor) ProtoReflect 

func (x *NearestNeighbors_Neighbor) ProtoReflect() protoreflect.Message

func (*NearestNeighbors_Neighbor) Reset 

func (x *NearestNeighbors_Neighbor) Reset()

func (*NearestNeighbors_Neighbor) String 

func (x *NearestNeighbors_Neighbor) String() string

type Neighbor 

type Neighbor struct {

	// Output only. The neighbor id.
	NeighborId string `protobuf:"bytes,1,opt,name=neighbor_id,json=neighborId,proto3" json:"neighbor_id,omitempty"`
	// Output only. The neighbor distance.
	NeighborDistance float64 `protobuf:"fixed64,2,opt,name=neighbor_distance,json=neighborDistance,proto3" json:"neighbor_distance,omitempty"`
	// contains filtered or unexported fields
}

Neighbors for example-based explanations.

func (*Neighbor) Descriptor 

func (*Neighbor) Descriptor() ([]byte, []int)

Deprecated: Use Neighbor.ProtoReflect.Descriptor instead.

func (*Neighbor) GetNeighborDistance 

func (x *Neighbor) GetNeighborDistance() float64

func (*Neighbor) GetNeighborId 

func (x *Neighbor) GetNeighborId() string

func (*Neighbor) ProtoMessage 

func (*Neighbor) ProtoMessage()

func (*Neighbor) ProtoReflect 

func (x *Neighbor) ProtoReflect() protoreflect.Message

func (*Neighbor) Reset 

func (x *Neighbor) Reset()

func (*Neighbor) String 

func (x *Neighbor) String() string

type NetworkSpec 

type NetworkSpec struct {

	// Whether to enable public internet access. Default false.
	EnableInternetAccess bool `protobuf:"varint,1,opt,name=enable_internet_access,json=enableInternetAccess,proto3" json:"enable_internet_access,omitempty"`
	// The full name of the Google Compute Engine
	// [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks)
	Network string `protobuf:"bytes,2,opt,name=network,proto3" json:"network,omitempty"`
	// The name of the subnet that this instance is in.
	// Format:
	// `projects/{project_id_or_number}/regions/{region}/subnetworks/{subnetwork_id}`
	Subnetwork string `protobuf:"bytes,3,opt,name=subnetwork,proto3" json:"subnetwork,omitempty"`
	// contains filtered or unexported fields
}

Network spec.

func (*NetworkSpec) Descriptor 

func (*NetworkSpec) Descriptor() ([]byte, []int)

Deprecated: Use NetworkSpec.ProtoReflect.Descriptor instead.

func (*NetworkSpec) GetEnableInternetAccess 

func (x *NetworkSpec) GetEnableInternetAccess() bool

func (*NetworkSpec) GetNetwork 

func (x *NetworkSpec) GetNetwork() string

func (*NetworkSpec) GetSubnetwork 

func (x *NetworkSpec) GetSubnetwork() string

func (*NetworkSpec) ProtoMessage 

func (*NetworkSpec) ProtoMessage()

func (*NetworkSpec) ProtoReflect 

func (x *NetworkSpec) ProtoReflect() protoreflect.Message

func (*NetworkSpec) Reset 

func (x *NetworkSpec) Reset()

func (*NetworkSpec) String 

func (x *NetworkSpec) String() string

type NfsMount 

type NfsMount struct {

	// Required. IP address of the NFS server.
	Server string `protobuf:"bytes,1,opt,name=server,proto3" json:"server,omitempty"`
	// Required. Source path exported from NFS server.
	// Has to start with '/', and combined with the ip address, it indicates
	// the source mount path in the form of `server:path`
	Path string `protobuf:"bytes,2,opt,name=path,proto3" json:"path,omitempty"`
	// Required. Destination mount path. The NFS will be mounted for the user
	// under /mnt/nfs/<mount_point>
	MountPoint string `protobuf:"bytes,3,opt,name=mount_point,json=mountPoint,proto3" json:"mount_point,omitempty"`
	// contains filtered or unexported fields
}

Represents a mount configuration for Network File System (NFS) to mount.

func (*NfsMount) Descriptor 

func (*NfsMount) Descriptor() ([]byte, []int)

Deprecated: Use NfsMount.ProtoReflect.Descriptor instead.

func (*NfsMount) GetMountPoint 

func (x *NfsMount) GetMountPoint() string

func (*NfsMount) GetPath 

func (x *NfsMount) GetPath() string

func (*NfsMount) GetServer 

func (x *NfsMount) GetServer() string

func (*NfsMount) ProtoMessage 

func (*NfsMount) ProtoMessage()

func (*NfsMount) ProtoReflect 

func (x *NfsMount) ProtoReflect() protoreflect.Message

func (*NfsMount) Reset 

func (x *NfsMount) Reset()

func (*NfsMount) String 

func (x *NfsMount) String() string

type NotebookEucConfig 

type NotebookEucConfig struct {

	// Input only. Whether EUC is disabled in this NotebookRuntimeTemplate.
	// In proto3, the default value of a boolean is false. In this way, by default
	// EUC will be enabled for NotebookRuntimeTemplate.
	EucDisabled bool `protobuf:"varint,1,opt,name=euc_disabled,json=eucDisabled,proto3" json:"euc_disabled,omitempty"`
	// Output only. Whether ActAs check is bypassed for service account attached
	// to the VM. If false, we need ActAs check for the default Compute Engine
	// Service account. When a Runtime is created, a VM is allocated using Default
	// Compute Engine Service Account. Any user requesting to use this Runtime
	// requires Service Account User (ActAs) permission over this SA. If true,
	// Runtime owner is using EUC and does not require the above permission as VM
	// no longer use default Compute Engine SA, but a P4SA.
	BypassActasCheck bool `protobuf:"varint,2,opt,name=bypass_actas_check,json=bypassActasCheck,proto3" json:"bypass_actas_check,omitempty"`
	// contains filtered or unexported fields
}

The euc configuration of NotebookRuntimeTemplate.

func (*NotebookEucConfig) Descriptor 

func (*NotebookEucConfig) Descriptor() ([]byte, []int)

Deprecated: Use NotebookEucConfig.ProtoReflect.Descriptor instead.

func (*NotebookEucConfig) GetBypassActasCheck 

func (x *NotebookEucConfig) GetBypassActasCheck() bool

func (*NotebookEucConfig) GetEucDisabled 

func (x *NotebookEucConfig) GetEucDisabled() bool

func (*NotebookEucConfig) ProtoMessage 

func (*NotebookEucConfig) ProtoMessage()

func (*NotebookEucConfig) ProtoReflect 

func (x *NotebookEucConfig) ProtoReflect() protoreflect.Message

func (*NotebookEucConfig) Reset 

func (x *NotebookEucConfig) Reset()

func (*NotebookEucConfig) String 

func (x *NotebookEucConfig) String() string

type NotebookExecutionJob 

type NotebookExecutionJob struct {

	// The input notebook.
	//
	// Types that are assignable to NotebookSource:
	//
	//	*NotebookExecutionJob_DataformRepositorySource_
	//	*NotebookExecutionJob_GcsNotebookSource_
	//	*NotebookExecutionJob_DirectNotebookSource_
	NotebookSource isNotebookExecutionJob_NotebookSource `protobuf_oneof:"notebook_source"`
	// The compute config to use for an execution job.
	//
	// Types that are assignable to EnvironmentSpec:
	//
	//	*NotebookExecutionJob_NotebookRuntimeTemplateResourceName
	//	*NotebookExecutionJob_CustomEnvironmentSpec_
	EnvironmentSpec isNotebookExecutionJob_EnvironmentSpec `protobuf_oneof:"environment_spec"`
	// The location to store the notebook execution result.
	//
	// Types that are assignable to ExecutionSink:
	//
	//	*NotebookExecutionJob_GcsOutputUri
	ExecutionSink isNotebookExecutionJob_ExecutionSink `protobuf_oneof:"execution_sink"`
	// The identity to run the execution as.
	//
	// Types that are assignable to ExecutionIdentity:
	//
	//	*NotebookExecutionJob_ExecutionUser
	//	*NotebookExecutionJob_ServiceAccount
	ExecutionIdentity isNotebookExecutionJob_ExecutionIdentity `protobuf_oneof:"execution_identity"`
	// Runtime environment for the notebook execution job. If unspecified, the
	// default runtime of Colab is used.
	//
	// Types that are assignable to RuntimeEnvironment:
	//
	//	*NotebookExecutionJob_WorkbenchRuntime_
	RuntimeEnvironment isNotebookExecutionJob_RuntimeEnvironment `protobuf_oneof:"runtime_environment"`
	// Output only. The resource name of this NotebookExecutionJob. Format:
	// `projects/{project_id}/locations/{location}/notebookExecutionJobs/{job_id}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The display name of the NotebookExecutionJob. The name can be up to 128
	// characters long and can consist of any UTF-8 characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Max running time of the execution job in seconds (default 86400s / 24 hrs).
	ExecutionTimeout *durationpb.Duration `protobuf:"bytes,5,opt,name=execution_timeout,json=executionTimeout,proto3" json:"execution_timeout,omitempty"`
	// Output only. The Schedule resource name if this job is triggered by one.
	// Format:
	// `projects/{project_id}/locations/{location}/schedules/{schedule_id}`
	ScheduleResourceName string `protobuf:"bytes,6,opt,name=schedule_resource_name,json=scheduleResourceName,proto3" json:"schedule_resource_name,omitempty"`
	// Output only. The state of the NotebookExecutionJob.
	JobState JobState `protobuf:"varint,10,opt,name=job_state,json=jobState,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"job_state,omitempty"`
	// Output only. Populated when the NotebookExecutionJob is completed. When
	// there is an error during notebook execution, the error details are
	// populated.
	Status *status.Status `protobuf:"bytes,11,opt,name=status,proto3" json:"status,omitempty"`
	// Output only. Timestamp when this NotebookExecutionJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this NotebookExecutionJob was most recently
	// updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize NotebookExecutionJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `protobuf:"bytes,19,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// The name of the kernel to use during notebook execution. If unset, the
	// default kernel is used.
	KernelName string `protobuf:"bytes,20,opt,name=kernel_name,json=kernelName,proto3" json:"kernel_name,omitempty"`
	// Customer-managed encryption key spec for the notebook execution job.
	// This field is auto-populated if the
	// [NotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookRuntimeTemplate]
	// has an encryption spec.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,22,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

NotebookExecutionJob represents an instance of a notebook execution.

func (*NotebookExecutionJob) Descriptor 

func (*NotebookExecutionJob) Descriptor() ([]byte, []int)

Deprecated: Use NotebookExecutionJob.ProtoReflect.Descriptor instead.

func (*NotebookExecutionJob) GetCreateTime 

func (x *NotebookExecutionJob) GetCreateTime() *timestamppb.Timestamp

func (*NotebookExecutionJob) GetCustomEnvironmentSpec 

func (x *NotebookExecutionJob) GetCustomEnvironmentSpec() *NotebookExecutionJob_CustomEnvironmentSpec

func (*NotebookExecutionJob) GetDataformRepositorySource 

func (x *NotebookExecutionJob) GetDataformRepositorySource() *NotebookExecutionJob_DataformRepositorySource

func (*NotebookExecutionJob) GetDirectNotebookSource 

func (x *NotebookExecutionJob) GetDirectNotebookSource() *NotebookExecutionJob_DirectNotebookSource

func (*NotebookExecutionJob) GetDisplayName 

func (x *NotebookExecutionJob) GetDisplayName() string

func (*NotebookExecutionJob) GetEncryptionSpec 

func (x *NotebookExecutionJob) GetEncryptionSpec() *EncryptionSpec

func (*NotebookExecutionJob) GetEnvironmentSpec 

func (m *NotebookExecutionJob) GetEnvironmentSpec() isNotebookExecutionJob_EnvironmentSpec

func (*NotebookExecutionJob) GetExecutionIdentity 

func (m *NotebookExecutionJob) GetExecutionIdentity() isNotebookExecutionJob_ExecutionIdentity

func (*NotebookExecutionJob) GetExecutionSink 

func (m *NotebookExecutionJob) GetExecutionSink() isNotebookExecutionJob_ExecutionSink

func (*NotebookExecutionJob) GetExecutionTimeout 

func (x *NotebookExecutionJob) GetExecutionTimeout() *durationpb.Duration

func (*NotebookExecutionJob) GetExecutionUser 

func (x *NotebookExecutionJob) GetExecutionUser() string

func (*NotebookExecutionJob) GetGcsNotebookSource 

func (x *NotebookExecutionJob) GetGcsNotebookSource() *NotebookExecutionJob_GcsNotebookSource

func (*NotebookExecutionJob) GetGcsOutputUri 

func (x *NotebookExecutionJob) GetGcsOutputUri() string

func (*NotebookExecutionJob) GetJobState 

func (x *NotebookExecutionJob) GetJobState() JobState

func (*NotebookExecutionJob) GetKernelName 

func (x *NotebookExecutionJob) GetKernelName() string

func (*NotebookExecutionJob) GetLabels 

func (x *NotebookExecutionJob) GetLabels() map[string]string

func (*NotebookExecutionJob) GetName 

func (x *NotebookExecutionJob) GetName() string

func (*NotebookExecutionJob) GetNotebookRuntimeTemplateResourceName 

func (x *NotebookExecutionJob) GetNotebookRuntimeTemplateResourceName() string

func (*NotebookExecutionJob) GetNotebookSource 

func (m *NotebookExecutionJob) GetNotebookSource() isNotebookExecutionJob_NotebookSource

func (*NotebookExecutionJob) GetRuntimeEnvironment 

func (m *NotebookExecutionJob) GetRuntimeEnvironment() isNotebookExecutionJob_RuntimeEnvironment

func (*NotebookExecutionJob) GetScheduleResourceName 

func (x *NotebookExecutionJob) GetScheduleResourceName() string

func (*NotebookExecutionJob) GetServiceAccount 

func (x *NotebookExecutionJob) GetServiceAccount() string

func (*NotebookExecutionJob) GetStatus 

func (x *NotebookExecutionJob) GetStatus() *status.Status

func (*NotebookExecutionJob) GetUpdateTime 

func (x *NotebookExecutionJob) GetUpdateTime() *timestamppb.Timestamp

func (*NotebookExecutionJob) GetWorkbenchRuntime 

func (x *NotebookExecutionJob) GetWorkbenchRuntime() *NotebookExecutionJob_WorkbenchRuntime

func (*NotebookExecutionJob) ProtoMessage 

func (*NotebookExecutionJob) ProtoMessage()

func (*NotebookExecutionJob) ProtoReflect 

func (x *NotebookExecutionJob) ProtoReflect() protoreflect.Message

func (*NotebookExecutionJob) Reset 

func (x *NotebookExecutionJob) Reset()

func (*NotebookExecutionJob) String 

func (x *NotebookExecutionJob) String() string

type NotebookExecutionJobView 

type NotebookExecutionJobView int32

Views for Get/List NotebookExecutionJob 

const (
	// When unspecified, the API defaults to the BASIC view.
	NotebookExecutionJobView_NOTEBOOK_EXECUTION_JOB_VIEW_UNSPECIFIED NotebookExecutionJobView = 0
	// Includes all fields except for direct notebook inputs.
	NotebookExecutionJobView_NOTEBOOK_EXECUTION_JOB_VIEW_BASIC NotebookExecutionJobView = 1
	// Includes all fields.
	NotebookExecutionJobView_NOTEBOOK_EXECUTION_JOB_VIEW_FULL NotebookExecutionJobView = 2
)

func (NotebookExecutionJobView) Descriptor 

func (NotebookExecutionJobView) Descriptor() protoreflect.EnumDescriptor

func (NotebookExecutionJobView) Enum 

func (x NotebookExecutionJobView) Enum() *NotebookExecutionJobView

func (NotebookExecutionJobView) EnumDescriptor 

func (NotebookExecutionJobView) EnumDescriptor() ([]byte, []int)

Deprecated: Use NotebookExecutionJobView.Descriptor instead.

func (NotebookExecutionJobView) Number 

func (x NotebookExecutionJobView) Number() protoreflect.EnumNumber

func (NotebookExecutionJobView) String 

func (x NotebookExecutionJobView) String() string

func (NotebookExecutionJobView) Type 

func (NotebookExecutionJobView) Type() protoreflect.EnumType

type NotebookExecutionJob_CustomEnvironmentSpec 

type NotebookExecutionJob_CustomEnvironmentSpec struct {

	// The specification of a single machine for the execution job.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// The specification of a persistent disk to attach for the execution job.
	PersistentDiskSpec *PersistentDiskSpec `protobuf:"bytes,2,opt,name=persistent_disk_spec,json=persistentDiskSpec,proto3" json:"persistent_disk_spec,omitempty"`
	// The network configuration to use for the execution job.
	NetworkSpec *NetworkSpec `protobuf:"bytes,3,opt,name=network_spec,json=networkSpec,proto3" json:"network_spec,omitempty"`
	// contains filtered or unexported fields
}

Compute configuration to use for an execution job.

func (*NotebookExecutionJob_CustomEnvironmentSpec) Descriptor 

func (*NotebookExecutionJob_CustomEnvironmentSpec) Descriptor() ([]byte, []int)

Deprecated: Use NotebookExecutionJob_CustomEnvironmentSpec.ProtoReflect.Descriptor instead.

func (*NotebookExecutionJob_CustomEnvironmentSpec) GetMachineSpec 

func (x *NotebookExecutionJob_CustomEnvironmentSpec) GetMachineSpec() *MachineSpec

func (*NotebookExecutionJob_CustomEnvironmentSpec) GetNetworkSpec 

func (x *NotebookExecutionJob_CustomEnvironmentSpec) GetNetworkSpec() *NetworkSpec

func (*NotebookExecutionJob_CustomEnvironmentSpec) GetPersistentDiskSpec 

func (x *NotebookExecutionJob_CustomEnvironmentSpec) GetPersistentDiskSpec() *PersistentDiskSpec

func (*NotebookExecutionJob_CustomEnvironmentSpec) ProtoMessage 

func (*NotebookExecutionJob_CustomEnvironmentSpec) ProtoMessage()

func (*NotebookExecutionJob_CustomEnvironmentSpec) ProtoReflect 

func (x *NotebookExecutionJob_CustomEnvironmentSpec) ProtoReflect() protoreflect.Message

func (*NotebookExecutionJob_CustomEnvironmentSpec) Reset 

func (x *NotebookExecutionJob_CustomEnvironmentSpec) Reset()

func (*NotebookExecutionJob_CustomEnvironmentSpec) String 

func (x *NotebookExecutionJob_CustomEnvironmentSpec) String() string

type NotebookExecutionJob_CustomEnvironmentSpec_ 

type NotebookExecutionJob_CustomEnvironmentSpec_ struct {
	// The custom compute configuration for an execution job.
	CustomEnvironmentSpec *NotebookExecutionJob_CustomEnvironmentSpec `protobuf:"bytes,16,opt,name=custom_environment_spec,json=customEnvironmentSpec,proto3,oneof"`
}

type NotebookExecutionJob_DataformRepositorySource 

type NotebookExecutionJob_DataformRepositorySource struct {

	// The resource name of the Dataform Repository. Format:
	// `projects/{project_id}/locations/{location}/repositories/{repository_id}`
	DataformRepositoryResourceName string `protobuf:"bytes,1,opt,name=dataform_repository_resource_name,json=dataformRepositoryResourceName,proto3" json:"dataform_repository_resource_name,omitempty"`
	// The commit SHA to read repository with. If unset, the file will be read
	// at HEAD.
	CommitSha string `protobuf:"bytes,2,opt,name=commit_sha,json=commitSha,proto3" json:"commit_sha,omitempty"`
	// contains filtered or unexported fields
}

The Dataform Repository containing the input notebook.

func (*NotebookExecutionJob_DataformRepositorySource) Descriptor 

func (*NotebookExecutionJob_DataformRepositorySource) Descriptor() ([]byte, []int)

Deprecated: Use NotebookExecutionJob_DataformRepositorySource.ProtoReflect.Descriptor instead.

func (*NotebookExecutionJob_DataformRepositorySource) GetCommitSha 

func (x *NotebookExecutionJob_DataformRepositorySource) GetCommitSha() string

func (*NotebookExecutionJob_DataformRepositorySource) GetDataformRepositoryResourceName 

func (x *NotebookExecutionJob_DataformRepositorySource) GetDataformRepositoryResourceName() string

func (*NotebookExecutionJob_DataformRepositorySource) ProtoMessage 

func (*NotebookExecutionJob_DataformRepositorySource) ProtoMessage()

func (*NotebookExecutionJob_DataformRepositorySource) ProtoReflect 

func (x *NotebookExecutionJob_DataformRepositorySource) ProtoReflect() protoreflect.Message

func (*NotebookExecutionJob_DataformRepositorySource) Reset 

func (x *NotebookExecutionJob_DataformRepositorySource) Reset()

func (*NotebookExecutionJob_DataformRepositorySource) String 

func (x *NotebookExecutionJob_DataformRepositorySource) String() string

type NotebookExecutionJob_DataformRepositorySource_ 

type NotebookExecutionJob_DataformRepositorySource_ struct {
	// The Dataform Repository pointing to a single file notebook repository.
	DataformRepositorySource *NotebookExecutionJob_DataformRepositorySource `protobuf:"bytes,3,opt,name=dataform_repository_source,json=dataformRepositorySource,proto3,oneof"`
}

type NotebookExecutionJob_DirectNotebookSource 

type NotebookExecutionJob_DirectNotebookSource struct {

	// The base64-encoded contents of the input notebook file.
	Content []byte `protobuf:"bytes,1,opt,name=content,proto3" json:"content,omitempty"`
	// contains filtered or unexported fields
}

The content of the input notebook in ipynb format.

func (*NotebookExecutionJob_DirectNotebookSource) Descriptor 

func (*NotebookExecutionJob_DirectNotebookSource) Descriptor() ([]byte, []int)

Deprecated: Use NotebookExecutionJob_DirectNotebookSource.ProtoReflect.Descriptor instead.

func (*NotebookExecutionJob_DirectNotebookSource) GetContent 

func (x *NotebookExecutionJob_DirectNotebookSource) GetContent() []byte

func (*NotebookExecutionJob_DirectNotebookSource) ProtoMessage 

func (*NotebookExecutionJob_DirectNotebookSource) ProtoMessage()

func (*NotebookExecutionJob_DirectNotebookSource) ProtoReflect 

func (x *NotebookExecutionJob_DirectNotebookSource) ProtoReflect() protoreflect.Message

func (*NotebookExecutionJob_DirectNotebookSource) Reset 

func (x *NotebookExecutionJob_DirectNotebookSource) Reset()

func (*NotebookExecutionJob_DirectNotebookSource) String 

func (x *NotebookExecutionJob_DirectNotebookSource) String() string

type NotebookExecutionJob_DirectNotebookSource_ 

type NotebookExecutionJob_DirectNotebookSource_ struct {
	// The contents of an input notebook file.
	DirectNotebookSource *NotebookExecutionJob_DirectNotebookSource `protobuf:"bytes,17,opt,name=direct_notebook_source,json=directNotebookSource,proto3,oneof"`
}

type NotebookExecutionJob_ExecutionUser 

type NotebookExecutionJob_ExecutionUser struct {
	// The user email to run the execution as. Only supported by Colab runtimes.
	ExecutionUser string `protobuf:"bytes,9,opt,name=execution_user,json=executionUser,proto3,oneof"`
}

type NotebookExecutionJob_GcsNotebookSource 

type NotebookExecutionJob_GcsNotebookSource struct {

	// The Cloud Storage uri pointing to the ipynb file. Format:
	// `gs://bucket/notebook_file.ipynb`
	Uri string `protobuf:"bytes,1,opt,name=uri,proto3" json:"uri,omitempty"`
	// The version of the Cloud Storage object to read. If unset, the current
	// version of the object is read. See
	// https://cloud.google.com/storage/docs/metadata#generation-number.
	Generation string `protobuf:"bytes,2,opt,name=generation,proto3" json:"generation,omitempty"`
	// contains filtered or unexported fields
}

The Cloud Storage uri for the input notebook.

func (*NotebookExecutionJob_GcsNotebookSource) Descriptor 

func (*NotebookExecutionJob_GcsNotebookSource) Descriptor() ([]byte, []int)

Deprecated: Use NotebookExecutionJob_GcsNotebookSource.ProtoReflect.Descriptor instead.

func (*NotebookExecutionJob_GcsNotebookSource) GetGeneration 

func (x *NotebookExecutionJob_GcsNotebookSource) GetGeneration() string

func (*NotebookExecutionJob_GcsNotebookSource) GetUri 

func (x *NotebookExecutionJob_GcsNotebookSource) GetUri() string

func (*NotebookExecutionJob_GcsNotebookSource) ProtoMessage 

func (*NotebookExecutionJob_GcsNotebookSource) ProtoMessage()

func (*NotebookExecutionJob_GcsNotebookSource) ProtoReflect 

func (x *NotebookExecutionJob_GcsNotebookSource) ProtoReflect() protoreflect.Message

func (*NotebookExecutionJob_GcsNotebookSource) Reset 

func (x *NotebookExecutionJob_GcsNotebookSource) Reset()

func (*NotebookExecutionJob_GcsNotebookSource) String 

func (x *NotebookExecutionJob_GcsNotebookSource) String() string

type NotebookExecutionJob_GcsNotebookSource_ 

type NotebookExecutionJob_GcsNotebookSource_ struct {
	// The Cloud Storage url pointing to the ipynb file. Format:
	// `gs://bucket/notebook_file.ipynb`
	GcsNotebookSource *NotebookExecutionJob_GcsNotebookSource `protobuf:"bytes,4,opt,name=gcs_notebook_source,json=gcsNotebookSource,proto3,oneof"`
}

type NotebookExecutionJob_GcsOutputUri 

type NotebookExecutionJob_GcsOutputUri struct {
	// The Cloud Storage location to upload the result to. Format:
	// `gs://bucket-name`
	GcsOutputUri string `protobuf:"bytes,8,opt,name=gcs_output_uri,json=gcsOutputUri,proto3,oneof"`
}

type NotebookExecutionJob_NotebookRuntimeTemplateResourceName 

type NotebookExecutionJob_NotebookRuntimeTemplateResourceName struct {
	// The NotebookRuntimeTemplate to source compute configuration from.
	NotebookRuntimeTemplateResourceName string `protobuf:"bytes,14,opt,name=notebook_runtime_template_resource_name,json=notebookRuntimeTemplateResourceName,proto3,oneof"`
}

type NotebookExecutionJob_ServiceAccount 

type NotebookExecutionJob_ServiceAccount struct {
	// The service account to run the execution as.
	ServiceAccount string `protobuf:"bytes,18,opt,name=service_account,json=serviceAccount,proto3,oneof"`
}

type NotebookExecutionJob_WorkbenchRuntime 

type NotebookExecutionJob_WorkbenchRuntime struct {
	// contains filtered or unexported fields
}

Configuration for a Workbench Instances-based environment.

func (*NotebookExecutionJob_WorkbenchRuntime) Descriptor 

func (*NotebookExecutionJob_WorkbenchRuntime) Descriptor() ([]byte, []int)

Deprecated: Use NotebookExecutionJob_WorkbenchRuntime.ProtoReflect.Descriptor instead.

func (*NotebookExecutionJob_WorkbenchRuntime) ProtoMessage 

func (*NotebookExecutionJob_WorkbenchRuntime) ProtoMessage()

func (*NotebookExecutionJob_WorkbenchRuntime) ProtoReflect 

func (x *NotebookExecutionJob_WorkbenchRuntime) ProtoReflect() protoreflect.Message

func (*NotebookExecutionJob_WorkbenchRuntime) Reset 

func (x *NotebookExecutionJob_WorkbenchRuntime) Reset()

func (*NotebookExecutionJob_WorkbenchRuntime) String 

func (x *NotebookExecutionJob_WorkbenchRuntime) String() string

type NotebookExecutionJob_WorkbenchRuntime_ 

type NotebookExecutionJob_WorkbenchRuntime_ struct {
	// The Workbench runtime configuration to use for the notebook execution.
	WorkbenchRuntime *NotebookExecutionJob_WorkbenchRuntime `protobuf:"bytes,23,opt,name=workbench_runtime,json=workbenchRuntime,proto3,oneof"`
}

type NotebookIdleShutdownConfig 

type NotebookIdleShutdownConfig struct {

	// Required. Duration is accurate to the second. In Notebook, Idle Timeout is
	// accurate to minute so the range of idle_timeout (second) is: 10 * 60 ~ 1440
	// * 60.
	IdleTimeout *durationpb.Duration `protobuf:"bytes,1,opt,name=idle_timeout,json=idleTimeout,proto3" json:"idle_timeout,omitempty"`
	// Whether Idle Shutdown is disabled in this NotebookRuntimeTemplate.
	IdleShutdownDisabled bool `protobuf:"varint,2,opt,name=idle_shutdown_disabled,json=idleShutdownDisabled,proto3" json:"idle_shutdown_disabled,omitempty"`
	// contains filtered or unexported fields
}

The idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field.

func (*NotebookIdleShutdownConfig) Descriptor 

func (*NotebookIdleShutdownConfig) Descriptor() ([]byte, []int)

Deprecated: Use NotebookIdleShutdownConfig.ProtoReflect.Descriptor instead.

func (*NotebookIdleShutdownConfig) GetIdleShutdownDisabled 

func (x *NotebookIdleShutdownConfig) GetIdleShutdownDisabled() bool

func (*NotebookIdleShutdownConfig) GetIdleTimeout 

func (x *NotebookIdleShutdownConfig) GetIdleTimeout() *durationpb.Duration

func (*NotebookIdleShutdownConfig) ProtoMessage 

func (*NotebookIdleShutdownConfig) ProtoMessage()

func (*NotebookIdleShutdownConfig) ProtoReflect 

func (x *NotebookIdleShutdownConfig) ProtoReflect() protoreflect.Message

func (*NotebookIdleShutdownConfig) Reset 

func (x *NotebookIdleShutdownConfig) Reset()

func (*NotebookIdleShutdownConfig) String 

func (x *NotebookIdleShutdownConfig) String() string

type NotebookRuntime 

type NotebookRuntime struct {

	// Output only. The resource name of the NotebookRuntime.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user email of the NotebookRuntime.
	RuntimeUser string `protobuf:"bytes,2,opt,name=runtime_user,json=runtimeUser,proto3" json:"runtime_user,omitempty"`
	// Output only. The pointer to NotebookRuntimeTemplate this NotebookRuntime is
	// created from.
	NotebookRuntimeTemplateRef *NotebookRuntimeTemplateRef `protobuf:"bytes,3,opt,name=notebook_runtime_template_ref,json=notebookRuntimeTemplateRef,proto3" json:"notebook_runtime_template_ref,omitempty"`
	// Output only. The proxy endpoint used to access the NotebookRuntime.
	ProxyUri string `protobuf:"bytes,5,opt,name=proxy_uri,json=proxyUri,proto3" json:"proxy_uri,omitempty"`
	// Output only. Timestamp when this NotebookRuntime was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this NotebookRuntime was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. The health state of the NotebookRuntime.
	HealthState NotebookRuntime_HealthState `protobuf:"varint,8,opt,name=health_state,json=healthState,proto3,enum=google.cloud.aiplatform.v1.NotebookRuntime_HealthState" json:"health_state,omitempty"`
	// Required. The display name of the NotebookRuntime.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,10,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the NotebookRuntime.
	Description string `protobuf:"bytes,11,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Deprecated: This field is no longer used and the "Vertex AI
	// Notebook Service Account"
	// (service-PROJECT_NUMBER@gcp-sa-aiplatform-vm.iam.gserviceaccount.com) is
	// used for the runtime workload identity.
	// See
	// https://cloud.google.com/iam/docs/service-agents#vertex-ai-notebook-service-account
	// for more details.
	//
	// The service account that the NotebookRuntime workload runs as.
	ServiceAccount string `protobuf:"bytes,13,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// Output only. The runtime (instance) state of the NotebookRuntime.
	RuntimeState NotebookRuntime_RuntimeState `protobuf:"varint,14,opt,name=runtime_state,json=runtimeState,proto3,enum=google.cloud.aiplatform.v1.NotebookRuntime_RuntimeState" json:"runtime_state,omitempty"`
	// Output only. Whether NotebookRuntime is upgradable.
	IsUpgradable bool `protobuf:"varint,15,opt,name=is_upgradable,json=isUpgradable,proto3" json:"is_upgradable,omitempty"`
	// The labels with user-defined metadata to organize your
	// NotebookRuntime.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one NotebookRuntime
	// (System labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable. Following system labels exist for NotebookRuntime:
	//
	// * "aiplatform.googleapis.com/notebook_runtime_gce_instance_id": output
	// only, its value is the Compute Engine instance id.
	// * "aiplatform.googleapis.com/colab_enterprise_entry_service": its value is
	// either "bigquery" or "vertex"; if absent, it should be "vertex". This is to
	// describe the entry service, either BigQuery or Vertex.
	Labels map[string]string `protobuf:"bytes,16,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Timestamp when this NotebookRuntime will be expired:
	// 1. System Predefined NotebookRuntime: 24 hours after creation. After
	// expiration, system predifined runtime will be deleted.
	// 2. User created NotebookRuntime: 6 months after last upgrade. After
	// expiration, user created runtime will be stopped and allowed for upgrade.
	ExpirationTime *timestamppb.Timestamp `protobuf:"bytes,17,opt,name=expiration_time,json=expirationTime,proto3" json:"expiration_time,omitempty"`
	// Output only. The VM os image version of NotebookRuntime.
	Version string `protobuf:"bytes,18,opt,name=version,proto3" json:"version,omitempty"`
	// Output only. The type of the notebook runtime.
	NotebookRuntimeType NotebookRuntimeType `protobuf:"varint,19,opt,name=notebook_runtime_type,json=notebookRuntimeType,proto3,enum=google.cloud.aiplatform.v1.NotebookRuntimeType" json:"notebook_runtime_type,omitempty"`
	// Output only. The specification of a single machine used by the notebook
	// runtime.
	MachineSpec *MachineSpec `protobuf:"bytes,20,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Output only. The specification of [persistent
	// disk][https://cloud.google.com/compute/docs/disks/persistent-disks]
	// attached to the notebook runtime as data disk storage.
	DataPersistentDiskSpec *PersistentDiskSpec `protobuf:"bytes,21,opt,name=data_persistent_disk_spec,json=dataPersistentDiskSpec,proto3" json:"data_persistent_disk_spec,omitempty"`
	// Output only. Network spec of the notebook runtime.
	NetworkSpec *NetworkSpec `protobuf:"bytes,22,opt,name=network_spec,json=networkSpec,proto3" json:"network_spec,omitempty"`
	// Output only. The idle shutdown configuration of the notebook runtime.
	IdleShutdownConfig *NotebookIdleShutdownConfig `protobuf:"bytes,23,opt,name=idle_shutdown_config,json=idleShutdownConfig,proto3" json:"idle_shutdown_config,omitempty"`
	// Output only. EUC configuration of the notebook runtime.
	EucConfig *NotebookEucConfig `protobuf:"bytes,24,opt,name=euc_config,json=eucConfig,proto3" json:"euc_config,omitempty"`
	// Output only. Runtime Shielded VM spec.
	ShieldedVmConfig *ShieldedVmConfig `protobuf:"bytes,32,opt,name=shielded_vm_config,json=shieldedVmConfig,proto3" json:"shielded_vm_config,omitempty"`
	// Optional. The Compute Engine tags to add to runtime (see [Tagging
	// instances](https://cloud.google.com/vpc/docs/add-remove-network-tags)).
	NetworkTags []string `protobuf:"bytes,25,rep,name=network_tags,json=networkTags,proto3" json:"network_tags,omitempty"`
	// Output only. Software config of the notebook runtime.
	SoftwareConfig *NotebookSoftwareConfig `protobuf:"bytes,31,opt,name=software_config,json=softwareConfig,proto3" json:"software_config,omitempty"`
	// Output only. Customer-managed encryption key spec for the notebook runtime.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,28,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,29,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,30,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

A runtime is a virtual machine allocated to a particular user for a particular Notebook file on temporary basis with lifetime limited to 24 hours.

func (*NotebookRuntime) Descriptor 

func (*NotebookRuntime) Descriptor() ([]byte, []int)

Deprecated: Use NotebookRuntime.ProtoReflect.Descriptor instead.

func (*NotebookRuntime) GetCreateTime 

func (x *NotebookRuntime) GetCreateTime() *timestamppb.Timestamp

func (*NotebookRuntime) GetDataPersistentDiskSpec 

func (x *NotebookRuntime) GetDataPersistentDiskSpec() *PersistentDiskSpec

func (*NotebookRuntime) GetDescription 

func (x *NotebookRuntime) GetDescription() string

func (*NotebookRuntime) GetDisplayName 

func (x *NotebookRuntime) GetDisplayName() string

func (*NotebookRuntime) GetEncryptionSpec 

func (x *NotebookRuntime) GetEncryptionSpec() *EncryptionSpec

func (*NotebookRuntime) GetEucConfig 

func (x *NotebookRuntime) GetEucConfig() *NotebookEucConfig

func (*NotebookRuntime) GetExpirationTime 

func (x *NotebookRuntime) GetExpirationTime() *timestamppb.Timestamp

func (*NotebookRuntime) GetHealthState 

func (x *NotebookRuntime) GetHealthState() NotebookRuntime_HealthState

func (*NotebookRuntime) GetIdleShutdownConfig 

func (x *NotebookRuntime) GetIdleShutdownConfig() *NotebookIdleShutdownConfig

func (*NotebookRuntime) GetIsUpgradable 

func (x *NotebookRuntime) GetIsUpgradable() bool

func (*NotebookRuntime) GetLabels 

func (x *NotebookRuntime) GetLabels() map[string]string

func (*NotebookRuntime) GetMachineSpec 

func (x *NotebookRuntime) GetMachineSpec() *MachineSpec

func (*NotebookRuntime) GetName 

func (x *NotebookRuntime) GetName() string

func (*NotebookRuntime) GetNetworkSpec 

func (x *NotebookRuntime) GetNetworkSpec() *NetworkSpec

func (*NotebookRuntime) GetNetworkTags 

func (x *NotebookRuntime) GetNetworkTags() []string

func (*NotebookRuntime) GetNotebookRuntimeTemplateRef 

func (x *NotebookRuntime) GetNotebookRuntimeTemplateRef() *NotebookRuntimeTemplateRef

func (*NotebookRuntime) GetNotebookRuntimeType 

func (x *NotebookRuntime) GetNotebookRuntimeType() NotebookRuntimeType

func (*NotebookRuntime) GetProxyUri 

func (x *NotebookRuntime) GetProxyUri() string

func (*NotebookRuntime) GetRuntimeState 

func (x *NotebookRuntime) GetRuntimeState() NotebookRuntime_RuntimeState

func (*NotebookRuntime) GetRuntimeUser 

func (x *NotebookRuntime) GetRuntimeUser() string

func (*NotebookRuntime) GetSatisfiesPzi 

func (x *NotebookRuntime) GetSatisfiesPzi() bool

func (*NotebookRuntime) GetSatisfiesPzs 

func (x *NotebookRuntime) GetSatisfiesPzs() bool

func (*NotebookRuntime) GetServiceAccount 

func (x *NotebookRuntime) GetServiceAccount() string

func (*NotebookRuntime) GetShieldedVmConfig 

func (x *NotebookRuntime) GetShieldedVmConfig() *ShieldedVmConfig

func (*NotebookRuntime) GetSoftwareConfig 

func (x *NotebookRuntime) GetSoftwareConfig() *NotebookSoftwareConfig

func (*NotebookRuntime) GetUpdateTime 

func (x *NotebookRuntime) GetUpdateTime() *timestamppb.Timestamp

func (*NotebookRuntime) GetVersion 

func (x *NotebookRuntime) GetVersion() string

func (*NotebookRuntime) ProtoMessage 

func (*NotebookRuntime) ProtoMessage()

func (*NotebookRuntime) ProtoReflect 

func (x *NotebookRuntime) ProtoReflect() protoreflect.Message

func (*NotebookRuntime) Reset 

func (x *NotebookRuntime) Reset()

func (*NotebookRuntime) String 

func (x *NotebookRuntime) String() string

type NotebookRuntimeTemplate 

type NotebookRuntimeTemplate struct {

	// The resource name of the NotebookRuntimeTemplate.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the NotebookRuntimeTemplate.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the NotebookRuntimeTemplate.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Deprecated: This field has no behavior. Use
	// notebook_runtime_type = 'ONE_CLICK' instead.
	//
	// The default template to use if not specified.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/notebook_runtime.proto.
	IsDefault bool `protobuf:"varint,4,opt,name=is_default,json=isDefault,proto3" json:"is_default,omitempty"`
	// Optional. Immutable. The specification of a single machine for the
	// template.
	MachineSpec *MachineSpec `protobuf:"bytes,5,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Optional. The specification of [persistent
	// disk][https://cloud.google.com/compute/docs/disks/persistent-disks]
	// attached to the runtime as data disk storage.
	DataPersistentDiskSpec *PersistentDiskSpec `protobuf:"bytes,8,opt,name=data_persistent_disk_spec,json=dataPersistentDiskSpec,proto3" json:"data_persistent_disk_spec,omitempty"`
	// Optional. Network spec.
	NetworkSpec *NetworkSpec `protobuf:"bytes,12,opt,name=network_spec,json=networkSpec,proto3" json:"network_spec,omitempty"`
	// Deprecated: This field is ignored and the "Vertex AI Notebook Service
	// Account"
	// (service-PROJECT_NUMBER@gcp-sa-aiplatform-vm.iam.gserviceaccount.com) is
	// used for the runtime workload identity.
	// See
	// https://cloud.google.com/iam/docs/service-agents#vertex-ai-notebook-service-account
	// for more details.
	// For NotebookExecutionJob, use NotebookExecutionJob.service_account instead.
	//
	// The service account that the runtime workload runs as.
	// You can use any service account within the same project, but you
	// must have the service account user permission to use the instance.
	//
	// If not specified, the [Compute Engine default service
	// account](https://cloud.google.com/compute/docs/access/service-accounts#default_service_account)
	// is used.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/notebook_runtime.proto.
	ServiceAccount string `protobuf:"bytes,13,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,14,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize the
	// NotebookRuntimeTemplates.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,15,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// The idle shutdown configuration of NotebookRuntimeTemplate. This config
	// will only be set when idle shutdown is enabled.
	IdleShutdownConfig *NotebookIdleShutdownConfig `protobuf:"bytes,17,opt,name=idle_shutdown_config,json=idleShutdownConfig,proto3" json:"idle_shutdown_config,omitempty"`
	// EUC configuration of the NotebookRuntimeTemplate.
	EucConfig *NotebookEucConfig `protobuf:"bytes,18,opt,name=euc_config,json=eucConfig,proto3" json:"euc_config,omitempty"`
	// Output only. Timestamp when this NotebookRuntimeTemplate was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this NotebookRuntimeTemplate was most recently
	// updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Immutable. The type of the notebook runtime template.
	NotebookRuntimeType NotebookRuntimeType `protobuf:"varint,19,opt,name=notebook_runtime_type,json=notebookRuntimeType,proto3,enum=google.cloud.aiplatform.v1.NotebookRuntimeType" json:"notebook_runtime_type,omitempty"`
	// Optional. Immutable. Runtime Shielded VM spec.
	ShieldedVmConfig *ShieldedVmConfig `protobuf:"bytes,20,opt,name=shielded_vm_config,json=shieldedVmConfig,proto3" json:"shielded_vm_config,omitempty"`
	// Optional. The Compute Engine tags to add to runtime (see [Tagging
	// instances](https://cloud.google.com/vpc/docs/add-remove-network-tags)).
	NetworkTags []string `protobuf:"bytes,21,rep,name=network_tags,json=networkTags,proto3" json:"network_tags,omitempty"`
	// Customer-managed encryption key spec for the notebook runtime.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,23,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Optional. The notebook software configuration of the notebook runtime.
	SoftwareConfig *NotebookSoftwareConfig `protobuf:"bytes,24,opt,name=software_config,json=softwareConfig,proto3" json:"software_config,omitempty"`
	// contains filtered or unexported fields
}

A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template.

func (*NotebookRuntimeTemplate) Descriptor 

func (*NotebookRuntimeTemplate) Descriptor() ([]byte, []int)

Deprecated: Use NotebookRuntimeTemplate.ProtoReflect.Descriptor instead.

func (*NotebookRuntimeTemplate) GetCreateTime 

func (x *NotebookRuntimeTemplate) GetCreateTime() *timestamppb.Timestamp

func (*NotebookRuntimeTemplate) GetDataPersistentDiskSpec 

func (x *NotebookRuntimeTemplate) GetDataPersistentDiskSpec() *PersistentDiskSpec

func (*NotebookRuntimeTemplate) GetDescription 

func (x *NotebookRuntimeTemplate) GetDescription() string

func (*NotebookRuntimeTemplate) GetDisplayName 

func (x *NotebookRuntimeTemplate) GetDisplayName() string

func (*NotebookRuntimeTemplate) GetEncryptionSpec 

func (x *NotebookRuntimeTemplate) GetEncryptionSpec() *EncryptionSpec

func (*NotebookRuntimeTemplate) GetEtag 

func (x *NotebookRuntimeTemplate) GetEtag() string

func (*NotebookRuntimeTemplate) GetEucConfig 

func (x *NotebookRuntimeTemplate) GetEucConfig() *NotebookEucConfig

func (*NotebookRuntimeTemplate) GetIdleShutdownConfig 

func (x *NotebookRuntimeTemplate) GetIdleShutdownConfig() *NotebookIdleShutdownConfig

func (*NotebookRuntimeTemplate) GetIsDefault 

func (x *NotebookRuntimeTemplate) GetIsDefault() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/notebook_runtime.proto.

func (*NotebookRuntimeTemplate) GetLabels 

func (x *NotebookRuntimeTemplate) GetLabels() map[string]string

func (*NotebookRuntimeTemplate) GetMachineSpec 

func (x *NotebookRuntimeTemplate) GetMachineSpec() *MachineSpec

func (*NotebookRuntimeTemplate) GetName 

func (x *NotebookRuntimeTemplate) GetName() string

func (*NotebookRuntimeTemplate) GetNetworkSpec 

func (x *NotebookRuntimeTemplate) GetNetworkSpec() *NetworkSpec

func (*NotebookRuntimeTemplate) GetNetworkTags 

func (x *NotebookRuntimeTemplate) GetNetworkTags() []string

func (*NotebookRuntimeTemplate) GetNotebookRuntimeType 

func (x *NotebookRuntimeTemplate) GetNotebookRuntimeType() NotebookRuntimeType

func (*NotebookRuntimeTemplate) GetServiceAccount 

func (x *NotebookRuntimeTemplate) GetServiceAccount() string

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/notebook_runtime.proto.

func (*NotebookRuntimeTemplate) GetShieldedVmConfig 

func (x *NotebookRuntimeTemplate) GetShieldedVmConfig() *ShieldedVmConfig

func (*NotebookRuntimeTemplate) GetSoftwareConfig 

func (x *NotebookRuntimeTemplate) GetSoftwareConfig() *NotebookSoftwareConfig

func (*NotebookRuntimeTemplate) GetUpdateTime 

func (x *NotebookRuntimeTemplate) GetUpdateTime() *timestamppb.Timestamp

func (*NotebookRuntimeTemplate) ProtoMessage 

func (*NotebookRuntimeTemplate) ProtoMessage()

func (*NotebookRuntimeTemplate) ProtoReflect 

func (x *NotebookRuntimeTemplate) ProtoReflect() protoreflect.Message

func (*NotebookRuntimeTemplate) Reset 

func (x *NotebookRuntimeTemplate) Reset()

func (*NotebookRuntimeTemplate) String 

func (x *NotebookRuntimeTemplate) String() string

type NotebookRuntimeTemplateRef 

type NotebookRuntimeTemplateRef struct {

	// Immutable. A resource name of the NotebookRuntimeTemplate.
	NotebookRuntimeTemplate string `protobuf:"bytes,1,opt,name=notebook_runtime_template,json=notebookRuntimeTemplate,proto3" json:"notebook_runtime_template,omitempty"`
	// contains filtered or unexported fields
}

Points to a NotebookRuntimeTemplateRef.

func (*NotebookRuntimeTemplateRef) Descriptor 

func (*NotebookRuntimeTemplateRef) Descriptor() ([]byte, []int)

Deprecated: Use NotebookRuntimeTemplateRef.ProtoReflect.Descriptor instead.

func (*NotebookRuntimeTemplateRef) GetNotebookRuntimeTemplate 

func (x *NotebookRuntimeTemplateRef) GetNotebookRuntimeTemplate() string

func (*NotebookRuntimeTemplateRef) ProtoMessage 

func (*NotebookRuntimeTemplateRef) ProtoMessage()

func (*NotebookRuntimeTemplateRef) ProtoReflect 

func (x *NotebookRuntimeTemplateRef) ProtoReflect() protoreflect.Message

func (*NotebookRuntimeTemplateRef) Reset 

func (x *NotebookRuntimeTemplateRef) Reset()

func (*NotebookRuntimeTemplateRef) String 

func (x *NotebookRuntimeTemplateRef) String() string

type NotebookRuntimeType 

type NotebookRuntimeType int32

Represents a notebook runtime type. 

const (
	// Unspecified notebook runtime type, NotebookRuntimeType will default to
	// USER_DEFINED.
	NotebookRuntimeType_NOTEBOOK_RUNTIME_TYPE_UNSPECIFIED NotebookRuntimeType = 0
	// runtime or template with coustomized configurations from user.
	NotebookRuntimeType_USER_DEFINED NotebookRuntimeType = 1
	// runtime or template with system defined configurations.
	NotebookRuntimeType_ONE_CLICK NotebookRuntimeType = 2
)

func (NotebookRuntimeType) Descriptor 

func (NotebookRuntimeType) Descriptor() protoreflect.EnumDescriptor

func (NotebookRuntimeType) Enum 

func (x NotebookRuntimeType) Enum() *NotebookRuntimeType

func (NotebookRuntimeType) EnumDescriptor 

func (NotebookRuntimeType) EnumDescriptor() ([]byte, []int)

Deprecated: Use NotebookRuntimeType.Descriptor instead.

func (NotebookRuntimeType) Number 

func (x NotebookRuntimeType) Number() protoreflect.EnumNumber

func (NotebookRuntimeType) String 

func (x NotebookRuntimeType) String() string

func (NotebookRuntimeType) Type 

func (NotebookRuntimeType) Type() protoreflect.EnumType

type NotebookRuntime_HealthState 

type NotebookRuntime_HealthState int32

The substate of the NotebookRuntime to display health information. 

const (
	// Unspecified health state.
	NotebookRuntime_HEALTH_STATE_UNSPECIFIED NotebookRuntime_HealthState = 0
	// NotebookRuntime is in healthy state. Applies to ACTIVE state.
	NotebookRuntime_HEALTHY NotebookRuntime_HealthState = 1
	// NotebookRuntime is in unhealthy state. Applies to ACTIVE state.
	NotebookRuntime_UNHEALTHY NotebookRuntime_HealthState = 2
)

func (NotebookRuntime_HealthState) Descriptor 

func (NotebookRuntime_HealthState) Descriptor() protoreflect.EnumDescriptor

func (NotebookRuntime_HealthState) Enum 

func (x NotebookRuntime_HealthState) Enum() *NotebookRuntime_HealthState

func (NotebookRuntime_HealthState) EnumDescriptor 

func (NotebookRuntime_HealthState) EnumDescriptor() ([]byte, []int)

Deprecated: Use NotebookRuntime_HealthState.Descriptor instead.

func (NotebookRuntime_HealthState) Number 

func (x NotebookRuntime_HealthState) Number() protoreflect.EnumNumber

func (NotebookRuntime_HealthState) String 

func (x NotebookRuntime_HealthState) String() string

func (NotebookRuntime_HealthState) Type 

func (NotebookRuntime_HealthState) Type() protoreflect.EnumType

type NotebookRuntime_RuntimeState 

type NotebookRuntime_RuntimeState int32

The substate of the NotebookRuntime to display state of runtime. The resource of NotebookRuntime is in ACTIVE state for these sub state. 

const (
	// Unspecified runtime state.
	NotebookRuntime_RUNTIME_STATE_UNSPECIFIED NotebookRuntime_RuntimeState = 0
	// NotebookRuntime is in running state.
	NotebookRuntime_RUNNING NotebookRuntime_RuntimeState = 1
	// NotebookRuntime is in starting state.
	NotebookRuntime_BEING_STARTED NotebookRuntime_RuntimeState = 2
	// NotebookRuntime is in stopping state.
	NotebookRuntime_BEING_STOPPED NotebookRuntime_RuntimeState = 3
	// NotebookRuntime is in stopped state.
	NotebookRuntime_STOPPED NotebookRuntime_RuntimeState = 4
	// NotebookRuntime is in upgrading state. It is in the middle of upgrading
	// process.
	NotebookRuntime_BEING_UPGRADED NotebookRuntime_RuntimeState = 5
	// NotebookRuntime was unable to start/stop properly.
	NotebookRuntime_ERROR NotebookRuntime_RuntimeState = 100
	// NotebookRuntime is in invalid state. Cannot be recovered.
	NotebookRuntime_INVALID NotebookRuntime_RuntimeState = 101
)

func (NotebookRuntime_RuntimeState) Descriptor 

func (NotebookRuntime_RuntimeState) Descriptor() protoreflect.EnumDescriptor

func (NotebookRuntime_RuntimeState) Enum 

func (x NotebookRuntime_RuntimeState) Enum() *NotebookRuntime_RuntimeState

func (NotebookRuntime_RuntimeState) EnumDescriptor 

func (NotebookRuntime_RuntimeState) EnumDescriptor() ([]byte, []int)

Deprecated: Use NotebookRuntime_RuntimeState.Descriptor instead.

func (NotebookRuntime_RuntimeState) Number 

func (x NotebookRuntime_RuntimeState) Number() protoreflect.EnumNumber

func (NotebookRuntime_RuntimeState) String 

func (x NotebookRuntime_RuntimeState) String() string

func (NotebookRuntime_RuntimeState) Type 

func (NotebookRuntime_RuntimeState) Type() protoreflect.EnumType

type NotebookServiceClient 

type NotebookServiceClient interface {
	// Creates a NotebookRuntimeTemplate.
	CreateNotebookRuntimeTemplate(ctx context.Context, in *CreateNotebookRuntimeTemplateRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a NotebookRuntimeTemplate.
	GetNotebookRuntimeTemplate(ctx context.Context, in *GetNotebookRuntimeTemplateRequest, opts ...grpc.CallOption) (*NotebookRuntimeTemplate, error)
	// Lists NotebookRuntimeTemplates in a Location.
	ListNotebookRuntimeTemplates(ctx context.Context, in *ListNotebookRuntimeTemplatesRequest, opts ...grpc.CallOption) (*ListNotebookRuntimeTemplatesResponse, error)
	// Deletes a NotebookRuntimeTemplate.
	DeleteNotebookRuntimeTemplate(ctx context.Context, in *DeleteNotebookRuntimeTemplateRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Updates a NotebookRuntimeTemplate.
	UpdateNotebookRuntimeTemplate(ctx context.Context, in *UpdateNotebookRuntimeTemplateRequest, opts ...grpc.CallOption) (*NotebookRuntimeTemplate, error)
	// Assigns a NotebookRuntime to a user for a particular Notebook file. This
	// method will either returns an existing assignment or generates a new one.
	AssignNotebookRuntime(ctx context.Context, in *AssignNotebookRuntimeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a NotebookRuntime.
	GetNotebookRuntime(ctx context.Context, in *GetNotebookRuntimeRequest, opts ...grpc.CallOption) (*NotebookRuntime, error)
	// Lists NotebookRuntimes in a Location.
	ListNotebookRuntimes(ctx context.Context, in *ListNotebookRuntimesRequest, opts ...grpc.CallOption) (*ListNotebookRuntimesResponse, error)
	// Deletes a NotebookRuntime.
	DeleteNotebookRuntime(ctx context.Context, in *DeleteNotebookRuntimeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Upgrades a NotebookRuntime.
	UpgradeNotebookRuntime(ctx context.Context, in *UpgradeNotebookRuntimeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Starts a NotebookRuntime.
	StartNotebookRuntime(ctx context.Context, in *StartNotebookRuntimeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Stops a NotebookRuntime.
	StopNotebookRuntime(ctx context.Context, in *StopNotebookRuntimeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a NotebookExecutionJob.
	CreateNotebookExecutionJob(ctx context.Context, in *CreateNotebookExecutionJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a NotebookExecutionJob.
	GetNotebookExecutionJob(ctx context.Context, in *GetNotebookExecutionJobRequest, opts ...grpc.CallOption) (*NotebookExecutionJob, error)
	// Lists NotebookExecutionJobs in a Location.
	ListNotebookExecutionJobs(ctx context.Context, in *ListNotebookExecutionJobsRequest, opts ...grpc.CallOption) (*ListNotebookExecutionJobsResponse, error)
	// Deletes a NotebookExecutionJob.
	DeleteNotebookExecutionJob(ctx context.Context, in *DeleteNotebookExecutionJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

NotebookServiceClient is the client API for NotebookService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewNotebookServiceClient 

func NewNotebookServiceClient(cc grpc.ClientConnInterface) NotebookServiceClient

type NotebookServiceServer 

type NotebookServiceServer interface {
	// Creates a NotebookRuntimeTemplate.
	CreateNotebookRuntimeTemplate(context.Context, *CreateNotebookRuntimeTemplateRequest) (*longrunningpb.Operation, error)
	// Gets a NotebookRuntimeTemplate.
	GetNotebookRuntimeTemplate(context.Context, *GetNotebookRuntimeTemplateRequest) (*NotebookRuntimeTemplate, error)
	// Lists NotebookRuntimeTemplates in a Location.
	ListNotebookRuntimeTemplates(context.Context, *ListNotebookRuntimeTemplatesRequest) (*ListNotebookRuntimeTemplatesResponse, error)
	// Deletes a NotebookRuntimeTemplate.
	DeleteNotebookRuntimeTemplate(context.Context, *DeleteNotebookRuntimeTemplateRequest) (*longrunningpb.Operation, error)
	// Updates a NotebookRuntimeTemplate.
	UpdateNotebookRuntimeTemplate(context.Context, *UpdateNotebookRuntimeTemplateRequest) (*NotebookRuntimeTemplate, error)
	// Assigns a NotebookRuntime to a user for a particular Notebook file. This
	// method will either returns an existing assignment or generates a new one.
	AssignNotebookRuntime(context.Context, *AssignNotebookRuntimeRequest) (*longrunningpb.Operation, error)
	// Gets a NotebookRuntime.
	GetNotebookRuntime(context.Context, *GetNotebookRuntimeRequest) (*NotebookRuntime, error)
	// Lists NotebookRuntimes in a Location.
	ListNotebookRuntimes(context.Context, *ListNotebookRuntimesRequest) (*ListNotebookRuntimesResponse, error)
	// Deletes a NotebookRuntime.
	DeleteNotebookRuntime(context.Context, *DeleteNotebookRuntimeRequest) (*longrunningpb.Operation, error)
	// Upgrades a NotebookRuntime.
	UpgradeNotebookRuntime(context.Context, *UpgradeNotebookRuntimeRequest) (*longrunningpb.Operation, error)
	// Starts a NotebookRuntime.
	StartNotebookRuntime(context.Context, *StartNotebookRuntimeRequest) (*longrunningpb.Operation, error)
	// Stops a NotebookRuntime.
	StopNotebookRuntime(context.Context, *StopNotebookRuntimeRequest) (*longrunningpb.Operation, error)
	// Creates a NotebookExecutionJob.
	CreateNotebookExecutionJob(context.Context, *CreateNotebookExecutionJobRequest) (*longrunningpb.Operation, error)
	// Gets a NotebookExecutionJob.
	GetNotebookExecutionJob(context.Context, *GetNotebookExecutionJobRequest) (*NotebookExecutionJob, error)
	// Lists NotebookExecutionJobs in a Location.
	ListNotebookExecutionJobs(context.Context, *ListNotebookExecutionJobsRequest) (*ListNotebookExecutionJobsResponse, error)
	// Deletes a NotebookExecutionJob.
	DeleteNotebookExecutionJob(context.Context, *DeleteNotebookExecutionJobRequest) (*longrunningpb.Operation, error)
}

NotebookServiceServer is the server API for NotebookService service.

type NotebookSoftwareConfig 

type NotebookSoftwareConfig struct {

	// Optional. Environment variables to be passed to the container.
	// Maximum limit is 100.
	Env []*EnvVar `protobuf:"bytes,1,rep,name=env,proto3" json:"env,omitempty"`
	// Optional. Post startup script config.
	PostStartupScriptConfig *PostStartupScriptConfig `protobuf:"bytes,2,opt,name=post_startup_script_config,json=postStartupScriptConfig,proto3" json:"post_startup_script_config,omitempty"`
	// contains filtered or unexported fields
}

Notebook Software Config.

func (*NotebookSoftwareConfig) Descriptor 

func (*NotebookSoftwareConfig) Descriptor() ([]byte, []int)

Deprecated: Use NotebookSoftwareConfig.ProtoReflect.Descriptor instead.

func (*NotebookSoftwareConfig) GetEnv 

func (x *NotebookSoftwareConfig) GetEnv() []*EnvVar

func (*NotebookSoftwareConfig) GetPostStartupScriptConfig 

func (x *NotebookSoftwareConfig) GetPostStartupScriptConfig() *PostStartupScriptConfig

func (*NotebookSoftwareConfig) ProtoMessage 

func (*NotebookSoftwareConfig) ProtoMessage()

func (*NotebookSoftwareConfig) ProtoReflect 

func (x *NotebookSoftwareConfig) ProtoReflect() protoreflect.Message

func (*NotebookSoftwareConfig) Reset 

func (x *NotebookSoftwareConfig) Reset()

func (*NotebookSoftwareConfig) String 

func (x *NotebookSoftwareConfig) String() string

type PSCAutomationConfig 

type PSCAutomationConfig struct {

	// Required. Project id used to create forwarding rule.
	ProjectId string `protobuf:"bytes,1,opt,name=project_id,json=projectId,proto3" json:"project_id,omitempty"`
	// Required. The full name of the Google Compute Engine
	// [network](https://cloud.google.com/compute/docs/networks-and-firewalls#networks).
	// [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
	// `projects/{project}/global/networks/{network}`.
	// Where {project} is a project number, as in '12345', and {network} is
	// network name.
	Network string `protobuf:"bytes,2,opt,name=network,proto3" json:"network,omitempty"`
	// contains filtered or unexported fields
}

PSC config that is used to automatically create forwarding rule via ServiceConnectionMap.

func (*PSCAutomationConfig) Descriptor 

func (*PSCAutomationConfig) Descriptor() ([]byte, []int)

Deprecated: Use PSCAutomationConfig.ProtoReflect.Descriptor instead.

func (*PSCAutomationConfig) GetNetwork 

func (x *PSCAutomationConfig) GetNetwork() string

func (*PSCAutomationConfig) GetProjectId 

func (x *PSCAutomationConfig) GetProjectId() string

func (*PSCAutomationConfig) ProtoMessage 

func (*PSCAutomationConfig) ProtoMessage()

func (*PSCAutomationConfig) ProtoReflect 

func (x *PSCAutomationConfig) ProtoReflect() protoreflect.Message

func (*PSCAutomationConfig) Reset 

func (x *PSCAutomationConfig) Reset()

func (*PSCAutomationConfig) String 

func (x *PSCAutomationConfig) String() string

type PairwiseChoice 

type PairwiseChoice int32

Pairwise prediction autorater preference. 

const (
	// Unspecified prediction choice.
	PairwiseChoice_PAIRWISE_CHOICE_UNSPECIFIED PairwiseChoice = 0
	// Baseline prediction wins
	PairwiseChoice_BASELINE PairwiseChoice = 1
	// Candidate prediction wins
	PairwiseChoice_CANDIDATE PairwiseChoice = 2
	// Winner cannot be determined
	PairwiseChoice_TIE PairwiseChoice = 3
)

func (PairwiseChoice) Descriptor 

func (PairwiseChoice) Descriptor() protoreflect.EnumDescriptor

func (PairwiseChoice) Enum 

func (x PairwiseChoice) Enum() *PairwiseChoice

func (PairwiseChoice) EnumDescriptor 

func (PairwiseChoice) EnumDescriptor() ([]byte, []int)

Deprecated: Use PairwiseChoice.Descriptor instead.

func (PairwiseChoice) Number 

func (x PairwiseChoice) Number() protoreflect.EnumNumber

func (PairwiseChoice) String 

func (x PairwiseChoice) String() string

func (PairwiseChoice) Type 

func (PairwiseChoice) Type() protoreflect.EnumType

type PairwiseMetricInput 

type PairwiseMetricInput struct {

	// Required. Spec for pairwise metric.
	MetricSpec *PairwiseMetricSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Pairwise metric instance.
	Instance *PairwiseMetricInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for pairwise metric.

func (*PairwiseMetricInput) Descriptor 

func (*PairwiseMetricInput) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseMetricInput.ProtoReflect.Descriptor instead.

func (*PairwiseMetricInput) GetInstance 

func (x *PairwiseMetricInput) GetInstance() *PairwiseMetricInstance

func (*PairwiseMetricInput) GetMetricSpec 

func (x *PairwiseMetricInput) GetMetricSpec() *PairwiseMetricSpec

func (*PairwiseMetricInput) ProtoMessage 

func (*PairwiseMetricInput) ProtoMessage()

func (*PairwiseMetricInput) ProtoReflect 

func (x *PairwiseMetricInput) ProtoReflect() protoreflect.Message

func (*PairwiseMetricInput) Reset 

func (x *PairwiseMetricInput) Reset()

func (*PairwiseMetricInput) String 

func (x *PairwiseMetricInput) String() string

type PairwiseMetricInstance 

type PairwiseMetricInstance struct {

	// Instance for pairwise metric.
	//
	// Types that are assignable to Instance:
	//
	//	*PairwiseMetricInstance_JsonInstance
	Instance isPairwiseMetricInstance_Instance `protobuf_oneof:"instance"`
	// contains filtered or unexported fields
}

Pairwise metric instance. Usually one instance corresponds to one row in an evaluation dataset.

func (*PairwiseMetricInstance) Descriptor 

func (*PairwiseMetricInstance) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseMetricInstance.ProtoReflect.Descriptor instead.

func (*PairwiseMetricInstance) GetInstance 

func (m *PairwiseMetricInstance) GetInstance() isPairwiseMetricInstance_Instance

func (*PairwiseMetricInstance) GetJsonInstance 

func (x *PairwiseMetricInstance) GetJsonInstance() string

func (*PairwiseMetricInstance) ProtoMessage 

func (*PairwiseMetricInstance) ProtoMessage()

func (*PairwiseMetricInstance) ProtoReflect 

func (x *PairwiseMetricInstance) ProtoReflect() protoreflect.Message

func (*PairwiseMetricInstance) Reset 

func (x *PairwiseMetricInstance) Reset()

func (*PairwiseMetricInstance) String 

func (x *PairwiseMetricInstance) String() string

type PairwiseMetricInstance_JsonInstance 

type PairwiseMetricInstance_JsonInstance struct {
	// Instance specified as a json string. String key-value pairs are expected
	// in the json_instance to render
	// PairwiseMetricSpec.instance_prompt_template.
	JsonInstance string `protobuf:"bytes,1,opt,name=json_instance,json=jsonInstance,proto3,oneof"`
}

type PairwiseMetricResult 

type PairwiseMetricResult struct {

	// Output only. Pairwise metric choice.
	PairwiseChoice PairwiseChoice `protobuf:"varint,1,opt,name=pairwise_choice,json=pairwiseChoice,proto3,enum=google.cloud.aiplatform.v1.PairwiseChoice" json:"pairwise_choice,omitempty"`
	// Output only. Explanation for pairwise metric score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// contains filtered or unexported fields
}

Spec for pairwise metric result.

func (*PairwiseMetricResult) Descriptor 

func (*PairwiseMetricResult) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseMetricResult.ProtoReflect.Descriptor instead.

func (*PairwiseMetricResult) GetExplanation 

func (x *PairwiseMetricResult) GetExplanation() string

func (*PairwiseMetricResult) GetPairwiseChoice 

func (x *PairwiseMetricResult) GetPairwiseChoice() PairwiseChoice

func (*PairwiseMetricResult) ProtoMessage 

func (*PairwiseMetricResult) ProtoMessage()

func (*PairwiseMetricResult) ProtoReflect 

func (x *PairwiseMetricResult) ProtoReflect() protoreflect.Message

func (*PairwiseMetricResult) Reset 

func (x *PairwiseMetricResult) Reset()

func (*PairwiseMetricResult) String 

func (x *PairwiseMetricResult) String() string

type PairwiseMetricSpec 

type PairwiseMetricSpec struct {

	// Required. Metric prompt template for pairwise metric.
	MetricPromptTemplate *string `protobuf:"bytes,1,opt,name=metric_prompt_template,json=metricPromptTemplate,proto3,oneof" json:"metric_prompt_template,omitempty"`
	// contains filtered or unexported fields
}

Spec for pairwise metric.

func (*PairwiseMetricSpec) Descriptor 

func (*PairwiseMetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseMetricSpec.ProtoReflect.Descriptor instead.

func (*PairwiseMetricSpec) GetMetricPromptTemplate 

func (x *PairwiseMetricSpec) GetMetricPromptTemplate() string

func (*PairwiseMetricSpec) ProtoMessage 

func (*PairwiseMetricSpec) ProtoMessage()

func (*PairwiseMetricSpec) ProtoReflect 

func (x *PairwiseMetricSpec) ProtoReflect() protoreflect.Message

func (*PairwiseMetricSpec) Reset 

func (x *PairwiseMetricSpec) Reset()

func (*PairwiseMetricSpec) String 

func (x *PairwiseMetricSpec) String() string

type PairwiseQuestionAnsweringQualityInput 

type PairwiseQuestionAnsweringQualityInput struct {

	// Required. Spec for pairwise question answering quality score metric.
	MetricSpec *PairwiseQuestionAnsweringQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Pairwise question answering quality instance.
	Instance *PairwiseQuestionAnsweringQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for pairwise question answering quality metric.

func (*PairwiseQuestionAnsweringQualityInput) Descriptor 

func (*PairwiseQuestionAnsweringQualityInput) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseQuestionAnsweringQualityInput.ProtoReflect.Descriptor instead.

func (*PairwiseQuestionAnsweringQualityInput) GetInstance 

func (x *PairwiseQuestionAnsweringQualityInput) GetInstance() *PairwiseQuestionAnsweringQualityInstance

func (*PairwiseQuestionAnsweringQualityInput) GetMetricSpec 

func (x *PairwiseQuestionAnsweringQualityInput) GetMetricSpec() *PairwiseQuestionAnsweringQualitySpec

func (*PairwiseQuestionAnsweringQualityInput) ProtoMessage 

func (*PairwiseQuestionAnsweringQualityInput) ProtoMessage()

func (*PairwiseQuestionAnsweringQualityInput) ProtoReflect 

func (x *PairwiseQuestionAnsweringQualityInput) ProtoReflect() protoreflect.Message

func (*PairwiseQuestionAnsweringQualityInput) Reset 

func (x *PairwiseQuestionAnsweringQualityInput) Reset()

func (*PairwiseQuestionAnsweringQualityInput) String 

func (x *PairwiseQuestionAnsweringQualityInput) String() string

type PairwiseQuestionAnsweringQualityInstance 

type PairwiseQuestionAnsweringQualityInstance struct {

	// Required. Output of the candidate model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Output of the baseline model.
	BaselinePrediction *string `protobuf:"bytes,2,opt,name=baseline_prediction,json=baselinePrediction,proto3,oneof" json:"baseline_prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,3,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Required. Text to answer the question.
	Context *string `protobuf:"bytes,4,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// Required. Question Answering prompt for LLM.
	Instruction *string `protobuf:"bytes,5,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for pairwise question answering quality instance.

func (*PairwiseQuestionAnsweringQualityInstance) Descriptor 

func (*PairwiseQuestionAnsweringQualityInstance) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseQuestionAnsweringQualityInstance.ProtoReflect.Descriptor instead.

func (*PairwiseQuestionAnsweringQualityInstance) GetBaselinePrediction 

func (x *PairwiseQuestionAnsweringQualityInstance) GetBaselinePrediction() string

func (*PairwiseQuestionAnsweringQualityInstance) GetContext 

func (x *PairwiseQuestionAnsweringQualityInstance) GetContext() string

func (*PairwiseQuestionAnsweringQualityInstance) GetInstruction 

func (x *PairwiseQuestionAnsweringQualityInstance) GetInstruction() string

func (*PairwiseQuestionAnsweringQualityInstance) GetPrediction 

func (x *PairwiseQuestionAnsweringQualityInstance) GetPrediction() string

func (*PairwiseQuestionAnsweringQualityInstance) GetReference 

func (x *PairwiseQuestionAnsweringQualityInstance) GetReference() string

func (*PairwiseQuestionAnsweringQualityInstance) ProtoMessage 

func (*PairwiseQuestionAnsweringQualityInstance) ProtoMessage()

func (*PairwiseQuestionAnsweringQualityInstance) ProtoReflect 

func (x *PairwiseQuestionAnsweringQualityInstance) ProtoReflect() protoreflect.Message

func (*PairwiseQuestionAnsweringQualityInstance) Reset 

func (x *PairwiseQuestionAnsweringQualityInstance) Reset()

func (*PairwiseQuestionAnsweringQualityInstance) String 

func (x *PairwiseQuestionAnsweringQualityInstance) String() string

type PairwiseQuestionAnsweringQualityResult 

type PairwiseQuestionAnsweringQualityResult struct {

	// Output only. Pairwise question answering prediction choice.
	PairwiseChoice PairwiseChoice `protobuf:"varint,1,opt,name=pairwise_choice,json=pairwiseChoice,proto3,enum=google.cloud.aiplatform.v1.PairwiseChoice" json:"pairwise_choice,omitempty"`
	// Output only. Explanation for question answering quality score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for question answering quality score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for pairwise question answering quality result.

func (*PairwiseQuestionAnsweringQualityResult) Descriptor 

func (*PairwiseQuestionAnsweringQualityResult) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseQuestionAnsweringQualityResult.ProtoReflect.Descriptor instead.

func (*PairwiseQuestionAnsweringQualityResult) GetConfidence 

func (x *PairwiseQuestionAnsweringQualityResult) GetConfidence() float32

func (*PairwiseQuestionAnsweringQualityResult) GetExplanation 

func (x *PairwiseQuestionAnsweringQualityResult) GetExplanation() string

func (*PairwiseQuestionAnsweringQualityResult) GetPairwiseChoice 

func (x *PairwiseQuestionAnsweringQualityResult) GetPairwiseChoice() PairwiseChoice

func (*PairwiseQuestionAnsweringQualityResult) ProtoMessage 

func (*PairwiseQuestionAnsweringQualityResult) ProtoMessage()

func (*PairwiseQuestionAnsweringQualityResult) ProtoReflect 

func (x *PairwiseQuestionAnsweringQualityResult) ProtoReflect() protoreflect.Message

func (*PairwiseQuestionAnsweringQualityResult) Reset 

func (x *PairwiseQuestionAnsweringQualityResult) Reset()

func (*PairwiseQuestionAnsweringQualityResult) String 

func (x *PairwiseQuestionAnsweringQualityResult) String() string

type PairwiseQuestionAnsweringQualitySpec 

type PairwiseQuestionAnsweringQualitySpec struct {

	// Optional. Whether to use instance.reference to compute question answering
	// quality.
	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for pairwise question answering quality score metric.

func (*PairwiseQuestionAnsweringQualitySpec) Descriptor 

func (*PairwiseQuestionAnsweringQualitySpec) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseQuestionAnsweringQualitySpec.ProtoReflect.Descriptor instead.

func (*PairwiseQuestionAnsweringQualitySpec) GetUseReference 

func (x *PairwiseQuestionAnsweringQualitySpec) GetUseReference() bool

func (*PairwiseQuestionAnsweringQualitySpec) GetVersion 

func (x *PairwiseQuestionAnsweringQualitySpec) GetVersion() int32

func (*PairwiseQuestionAnsweringQualitySpec) ProtoMessage 

func (*PairwiseQuestionAnsweringQualitySpec) ProtoMessage()

func (*PairwiseQuestionAnsweringQualitySpec) ProtoReflect 

func (x *PairwiseQuestionAnsweringQualitySpec) ProtoReflect() protoreflect.Message

func (*PairwiseQuestionAnsweringQualitySpec) Reset 

func (x *PairwiseQuestionAnsweringQualitySpec) Reset()

func (*PairwiseQuestionAnsweringQualitySpec) String 

func (x *PairwiseQuestionAnsweringQualitySpec) String() string

type PairwiseSummarizationQualityInput 

type PairwiseSummarizationQualityInput struct {

	// Required. Spec for pairwise summarization quality score metric.
	MetricSpec *PairwiseSummarizationQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Pairwise summarization quality instance.
	Instance *PairwiseSummarizationQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for pairwise summarization quality metric.

func (*PairwiseSummarizationQualityInput) Descriptor 

func (*PairwiseSummarizationQualityInput) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseSummarizationQualityInput.ProtoReflect.Descriptor instead.

func (*PairwiseSummarizationQualityInput) GetInstance 

func (x *PairwiseSummarizationQualityInput) GetInstance() *PairwiseSummarizationQualityInstance

func (*PairwiseSummarizationQualityInput) GetMetricSpec 

func (x *PairwiseSummarizationQualityInput) GetMetricSpec() *PairwiseSummarizationQualitySpec

func (*PairwiseSummarizationQualityInput) ProtoMessage 

func (*PairwiseSummarizationQualityInput) ProtoMessage()

func (*PairwiseSummarizationQualityInput) ProtoReflect 

func (x *PairwiseSummarizationQualityInput) ProtoReflect() protoreflect.Message

func (*PairwiseSummarizationQualityInput) Reset 

func (x *PairwiseSummarizationQualityInput) Reset()

func (*PairwiseSummarizationQualityInput) String 

func (x *PairwiseSummarizationQualityInput) String() string

type PairwiseSummarizationQualityInstance 

type PairwiseSummarizationQualityInstance struct {

	// Required. Output of the candidate model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Output of the baseline model.
	BaselinePrediction *string `protobuf:"bytes,2,opt,name=baseline_prediction,json=baselinePrediction,proto3,oneof" json:"baseline_prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,3,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Required. Text to be summarized.
	Context *string `protobuf:"bytes,4,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// Required. Summarization prompt for LLM.
	Instruction *string `protobuf:"bytes,5,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for pairwise summarization quality instance.

func (*PairwiseSummarizationQualityInstance) Descriptor 

func (*PairwiseSummarizationQualityInstance) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseSummarizationQualityInstance.ProtoReflect.Descriptor instead.

func (*PairwiseSummarizationQualityInstance) GetBaselinePrediction 

func (x *PairwiseSummarizationQualityInstance) GetBaselinePrediction() string

func (*PairwiseSummarizationQualityInstance) GetContext 

func (x *PairwiseSummarizationQualityInstance) GetContext() string

func (*PairwiseSummarizationQualityInstance) GetInstruction 

func (x *PairwiseSummarizationQualityInstance) GetInstruction() string

func (*PairwiseSummarizationQualityInstance) GetPrediction 

func (x *PairwiseSummarizationQualityInstance) GetPrediction() string

func (*PairwiseSummarizationQualityInstance) GetReference 

func (x *PairwiseSummarizationQualityInstance) GetReference() string

func (*PairwiseSummarizationQualityInstance) ProtoMessage 

func (*PairwiseSummarizationQualityInstance) ProtoMessage()

func (*PairwiseSummarizationQualityInstance) ProtoReflect 

func (x *PairwiseSummarizationQualityInstance) ProtoReflect() protoreflect.Message

func (*PairwiseSummarizationQualityInstance) Reset 

func (x *PairwiseSummarizationQualityInstance) Reset()

func (*PairwiseSummarizationQualityInstance) String 

func (x *PairwiseSummarizationQualityInstance) String() string

type PairwiseSummarizationQualityResult 

type PairwiseSummarizationQualityResult struct {

	// Output only. Pairwise summarization prediction choice.
	PairwiseChoice PairwiseChoice `protobuf:"varint,1,opt,name=pairwise_choice,json=pairwiseChoice,proto3,enum=google.cloud.aiplatform.v1.PairwiseChoice" json:"pairwise_choice,omitempty"`
	// Output only. Explanation for summarization quality score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for summarization quality score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for pairwise summarization quality result.

func (*PairwiseSummarizationQualityResult) Descriptor 

func (*PairwiseSummarizationQualityResult) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseSummarizationQualityResult.ProtoReflect.Descriptor instead.

func (*PairwiseSummarizationQualityResult) GetConfidence 

func (x *PairwiseSummarizationQualityResult) GetConfidence() float32

func (*PairwiseSummarizationQualityResult) GetExplanation 

func (x *PairwiseSummarizationQualityResult) GetExplanation() string

func (*PairwiseSummarizationQualityResult) GetPairwiseChoice 

func (x *PairwiseSummarizationQualityResult) GetPairwiseChoice() PairwiseChoice

func (*PairwiseSummarizationQualityResult) ProtoMessage 

func (*PairwiseSummarizationQualityResult) ProtoMessage()

func (*PairwiseSummarizationQualityResult) ProtoReflect 

func (x *PairwiseSummarizationQualityResult) ProtoReflect() protoreflect.Message

func (*PairwiseSummarizationQualityResult) Reset 

func (x *PairwiseSummarizationQualityResult) Reset()

func (*PairwiseSummarizationQualityResult) String 

func (x *PairwiseSummarizationQualityResult) String() string

type PairwiseSummarizationQualitySpec 

type PairwiseSummarizationQualitySpec struct {

	// Optional. Whether to use instance.reference to compute pairwise
	// summarization quality.
	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for pairwise summarization quality score metric.

func (*PairwiseSummarizationQualitySpec) Descriptor 

func (*PairwiseSummarizationQualitySpec) Descriptor() ([]byte, []int)

Deprecated: Use PairwiseSummarizationQualitySpec.ProtoReflect.Descriptor instead.

func (*PairwiseSummarizationQualitySpec) GetUseReference 

func (x *PairwiseSummarizationQualitySpec) GetUseReference() bool

func (*PairwiseSummarizationQualitySpec) GetVersion 

func (x *PairwiseSummarizationQualitySpec) GetVersion() int32

func (*PairwiseSummarizationQualitySpec) ProtoMessage 

func (*PairwiseSummarizationQualitySpec) ProtoMessage()

func (*PairwiseSummarizationQualitySpec) ProtoReflect 

func (x *PairwiseSummarizationQualitySpec) ProtoReflect() protoreflect.Message

func (*PairwiseSummarizationQualitySpec) Reset 

func (x *PairwiseSummarizationQualitySpec) Reset()

func (*PairwiseSummarizationQualitySpec) String 

func (x *PairwiseSummarizationQualitySpec) String() string

type Part 

type Part struct {

	// Types that are assignable to Data:
	//
	//	*Part_Text
	//	*Part_InlineData
	//	*Part_FileData
	//	*Part_FunctionCall
	//	*Part_FunctionResponse
	//	*Part_ExecutableCode
	//	*Part_CodeExecutionResult
	Data isPart_Data `protobuf_oneof:"data"`
	// Types that are assignable to Metadata:
	//
	//	*Part_VideoMetadata
	Metadata isPart_Metadata `protobuf_oneof:"metadata"`
	// contains filtered or unexported fields
}

A datatype containing media that is part of a multi-part `Content` message.

A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`.

A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.

func (*Part) Descriptor 

func (*Part) Descriptor() ([]byte, []int)

Deprecated: Use Part.ProtoReflect.Descriptor instead.

func (*Part) GetCodeExecutionResult 

func (x *Part) GetCodeExecutionResult() *CodeExecutionResult

func (*Part) GetData 

func (m *Part) GetData() isPart_Data

func (*Part) GetExecutableCode 

func (x *Part) GetExecutableCode() *ExecutableCode

func (*Part) GetFileData 

func (x *Part) GetFileData() *FileData

func (*Part) GetFunctionCall 

func (x *Part) GetFunctionCall() *FunctionCall

func (*Part) GetFunctionResponse 

func (x *Part) GetFunctionResponse() *FunctionResponse

func (*Part) GetInlineData 

func (x *Part) GetInlineData() *Blob

func (*Part) GetMetadata 

func (m *Part) GetMetadata() isPart_Metadata

func (*Part) GetText 

func (x *Part) GetText() string

func (*Part) GetVideoMetadata 

func (x *Part) GetVideoMetadata() *VideoMetadata

func (*Part) ProtoMessage 

func (*Part) ProtoMessage()

func (*Part) ProtoReflect 

func (x *Part) ProtoReflect() protoreflect.Message

func (*Part) Reset 

func (x *Part) Reset()

func (*Part) String 

func (x *Part) String() string

type Part_CodeExecutionResult 

type Part_CodeExecutionResult struct {
	// Optional. Result of executing the [ExecutableCode].
	CodeExecutionResult *CodeExecutionResult `protobuf:"bytes,9,opt,name=code_execution_result,json=codeExecutionResult,proto3,oneof"`
}

type Part_ExecutableCode 

type Part_ExecutableCode struct {
	// Optional. Code generated by the model that is meant to be executed.
	ExecutableCode *ExecutableCode `protobuf:"bytes,8,opt,name=executable_code,json=executableCode,proto3,oneof"`
}

type Part_FileData 

type Part_FileData struct {
	// Optional. URI based data.
	FileData *FileData `protobuf:"bytes,3,opt,name=file_data,json=fileData,proto3,oneof"`
}

type Part_FunctionCall 

type Part_FunctionCall struct {
	// Optional. A predicted [FunctionCall] returned from the model that
	// contains a string representing the [FunctionDeclaration.name] with the
	// parameters and their values.
	FunctionCall *FunctionCall `protobuf:"bytes,5,opt,name=function_call,json=functionCall,proto3,oneof"`
}

type Part_FunctionResponse 

type Part_FunctionResponse struct {
	// Optional. The result output of a [FunctionCall] that contains a string
	// representing the [FunctionDeclaration.name] and a structured JSON object
	// containing any output from the function call. It is used as context to
	// the model.
	FunctionResponse *FunctionResponse `protobuf:"bytes,6,opt,name=function_response,json=functionResponse,proto3,oneof"`
}

type Part_InlineData 

type Part_InlineData struct {
	// Optional. Inlined bytes data.
	InlineData *Blob `protobuf:"bytes,2,opt,name=inline_data,json=inlineData,proto3,oneof"`
}

type Part_Text 

type Part_Text struct {
	// Optional. Text part (can be code).
	Text string `protobuf:"bytes,1,opt,name=text,proto3,oneof"`
}

type Part_VideoMetadata 

type Part_VideoMetadata struct {
	// Optional. Video metadata. The metadata should only be specified while the
	// video data is presented in inline_data or file_data.
	VideoMetadata *VideoMetadata `protobuf:"bytes,4,opt,name=video_metadata,json=videoMetadata,proto3,oneof"`
}

type PauseModelDeploymentMonitoringJobRequest 

type PauseModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the ModelDeploymentMonitoringJob to pause.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob].

func (*PauseModelDeploymentMonitoringJobRequest) Descriptor 

func (*PauseModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use PauseModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*PauseModelDeploymentMonitoringJobRequest) GetName 

func (x *PauseModelDeploymentMonitoringJobRequest) GetName() string

func (*PauseModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*PauseModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*PauseModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *PauseModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*PauseModelDeploymentMonitoringJobRequest) Reset 

func (x *PauseModelDeploymentMonitoringJobRequest) Reset()

func (*PauseModelDeploymentMonitoringJobRequest) String 

func (x *PauseModelDeploymentMonitoringJobRequest) String() string

type PauseScheduleRequest 

type PauseScheduleRequest struct {

	// Required. The name of the Schedule resource to be paused.
	// Format:
	// `projects/{project}/locations/{location}/schedules/{schedule}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ScheduleService.PauseSchedule][google.cloud.aiplatform.v1.ScheduleService.PauseSchedule].

func (*PauseScheduleRequest) Descriptor 

func (*PauseScheduleRequest) Descriptor() ([]byte, []int)

Deprecated: Use PauseScheduleRequest.ProtoReflect.Descriptor instead.

func (*PauseScheduleRequest) GetName 

func (x *PauseScheduleRequest) GetName() string

func (*PauseScheduleRequest) ProtoMessage 

func (*PauseScheduleRequest) ProtoMessage()

func (*PauseScheduleRequest) ProtoReflect 

func (x *PauseScheduleRequest) ProtoReflect() protoreflect.Message

func (*PauseScheduleRequest) Reset 

func (x *PauseScheduleRequest) Reset()

func (*PauseScheduleRequest) String 

func (x *PauseScheduleRequest) String() string

type PersistentDiskSpec 

type PersistentDiskSpec struct {

	// Type of the disk (default is "pd-standard").
	// Valid values: "pd-ssd" (Persistent Disk Solid State Drive)
	// "pd-standard" (Persistent Disk Hard Disk Drive)
	// "pd-balanced" (Balanced Persistent Disk)
	// "pd-extreme" (Extreme Persistent Disk)
	DiskType string `protobuf:"bytes,1,opt,name=disk_type,json=diskType,proto3" json:"disk_type,omitempty"`
	// Size in GB of the disk (default is 100GB).
	DiskSizeGb int64 `protobuf:"varint,2,opt,name=disk_size_gb,json=diskSizeGb,proto3" json:"disk_size_gb,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of [persistent disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.

func (*PersistentDiskSpec) Descriptor 

func (*PersistentDiskSpec) Descriptor() ([]byte, []int)

Deprecated: Use PersistentDiskSpec.ProtoReflect.Descriptor instead.

func (*PersistentDiskSpec) GetDiskSizeGb 

func (x *PersistentDiskSpec) GetDiskSizeGb() int64

func (*PersistentDiskSpec) GetDiskType 

func (x *PersistentDiskSpec) GetDiskType() string

func (*PersistentDiskSpec) ProtoMessage 

func (*PersistentDiskSpec) ProtoMessage()

func (*PersistentDiskSpec) ProtoReflect 

func (x *PersistentDiskSpec) ProtoReflect() protoreflect.Message

func (*PersistentDiskSpec) Reset 

func (x *PersistentDiskSpec) Reset()

func (*PersistentDiskSpec) String 

func (x *PersistentDiskSpec) String() string

type PersistentResource 

type PersistentResource struct {

	// Immutable. Resource name of a PersistentResource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The display name of the PersistentResource.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. The spec of the pools of different resources.
	ResourcePools []*ResourcePool `protobuf:"bytes,4,rep,name=resource_pools,json=resourcePools,proto3" json:"resource_pools,omitempty"`
	// Output only. The detailed state of a Study.
	State PersistentResource_State `protobuf:"varint,5,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PersistentResource_State" json:"state,omitempty"`
	// Output only. Only populated when persistent resource's state is `STOPPING`
	// or `ERROR`.
	Error *status.Status `protobuf:"bytes,6,opt,name=error,proto3" json:"error,omitempty"`
	// Output only. Time when the PersistentResource was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the PersistentResource for the first time entered
	// the `RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the PersistentResource was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. The labels with user-defined metadata to organize
	// PersistentResource.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,10,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Optional. The full name of the Compute Engine
	// [network](/compute/docs/networks-and-firewalls#networks) to peered with
	// Vertex AI to host the persistent resources.
	// For example, `projects/12345/global/networks/myVPC`.
	// [Format](/compute/docs/reference/rest/v1/networks/insert)
	// is of the form `projects/{project}/global/networks/{network}`.
	// Where {project} is a project number, as in `12345`, and {network} is a
	// network name.
	//
	// To specify this field, you must have already [configured VPC Network
	// Peering for Vertex
	// AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
	//
	// If this field is left unspecified, the resources aren't peered with any
	// network.
	Network string `protobuf:"bytes,11,opt,name=network,proto3" json:"network,omitempty"`
	// Optional. Customer-managed encryption key spec for a PersistentResource.
	// If set, this PersistentResource and all sub-resources of this
	// PersistentResource will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,12,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Optional. Persistent Resource runtime spec.
	// For example, used for Ray cluster configuration.
	ResourceRuntimeSpec *ResourceRuntimeSpec `protobuf:"bytes,13,opt,name=resource_runtime_spec,json=resourceRuntimeSpec,proto3" json:"resource_runtime_spec,omitempty"`
	// Output only. Runtime information of the Persistent Resource.
	ResourceRuntime *ResourceRuntime `protobuf:"bytes,14,opt,name=resource_runtime,json=resourceRuntime,proto3" json:"resource_runtime,omitempty"`
	// Optional. A list of names for the reserved IP ranges under the VPC network
	// that can be used for this persistent resource.
	//
	// If set, we will deploy the persistent resource within the provided IP
	// ranges. Otherwise, the persistent resource is deployed to any IP
	// ranges under the provided VPC network.
	//
	// Example: ['vertex-ai-ip-range'].
	ReservedIpRanges []string `protobuf:"bytes,15,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"`
	// contains filtered or unexported fields
}

Represents long-lasting resources that are dedicated to users to runs custom workloads. A PersistentResource can have multiple node pools and each node pool can have its own machine spec.

func (*PersistentResource) Descriptor 

func (*PersistentResource) Descriptor() ([]byte, []int)

Deprecated: Use PersistentResource.ProtoReflect.Descriptor instead.

func (*PersistentResource) GetCreateTime 

func (x *PersistentResource) GetCreateTime() *timestamppb.Timestamp

func (*PersistentResource) GetDisplayName 

func (x *PersistentResource) GetDisplayName() string

func (*PersistentResource) GetEncryptionSpec 

func (x *PersistentResource) GetEncryptionSpec() *EncryptionSpec

func (*PersistentResource) GetError 

func (x *PersistentResource) GetError() *status.Status

func (*PersistentResource) GetLabels 

func (x *PersistentResource) GetLabels() map[string]string

func (*PersistentResource) GetName 

func (x *PersistentResource) GetName() string

func (*PersistentResource) GetNetwork 

func (x *PersistentResource) GetNetwork() string

func (*PersistentResource) GetReservedIpRanges 

func (x *PersistentResource) GetReservedIpRanges() []string

func (*PersistentResource) GetResourcePools 

func (x *PersistentResource) GetResourcePools() []*ResourcePool

func (*PersistentResource) GetResourceRuntime 

func (x *PersistentResource) GetResourceRuntime() *ResourceRuntime

func (*PersistentResource) GetResourceRuntimeSpec 

func (x *PersistentResource) GetResourceRuntimeSpec() *ResourceRuntimeSpec

func (*PersistentResource) GetStartTime 

func (x *PersistentResource) GetStartTime() *timestamppb.Timestamp

func (*PersistentResource) GetState 

func (x *PersistentResource) GetState() PersistentResource_State

func (*PersistentResource) GetUpdateTime 

func (x *PersistentResource) GetUpdateTime() *timestamppb.Timestamp

func (*PersistentResource) ProtoMessage 

func (*PersistentResource) ProtoMessage()

func (*PersistentResource) ProtoReflect 

func (x *PersistentResource) ProtoReflect() protoreflect.Message

func (*PersistentResource) Reset 

func (x *PersistentResource) Reset()

func (*PersistentResource) String 

func (x *PersistentResource) String() string

type PersistentResourceServiceClient 

type PersistentResourceServiceClient interface {
	// Creates a PersistentResource.
	CreatePersistentResource(ctx context.Context, in *CreatePersistentResourceRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a PersistentResource.
	GetPersistentResource(ctx context.Context, in *GetPersistentResourceRequest, opts ...grpc.CallOption) (*PersistentResource, error)
	// Lists PersistentResources in a Location.
	ListPersistentResources(ctx context.Context, in *ListPersistentResourcesRequest, opts ...grpc.CallOption) (*ListPersistentResourcesResponse, error)
	// Deletes a PersistentResource.
	DeletePersistentResource(ctx context.Context, in *DeletePersistentResourceRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Updates a PersistentResource.
	UpdatePersistentResource(ctx context.Context, in *UpdatePersistentResourceRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Reboots a PersistentResource.
	RebootPersistentResource(ctx context.Context, in *RebootPersistentResourceRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

PersistentResourceServiceClient is the client API for PersistentResourceService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewPersistentResourceServiceClient 

func NewPersistentResourceServiceClient(cc grpc.ClientConnInterface) PersistentResourceServiceClient

type PersistentResourceServiceServer 

type PersistentResourceServiceServer interface {
	// Creates a PersistentResource.
	CreatePersistentResource(context.Context, *CreatePersistentResourceRequest) (*longrunningpb.Operation, error)
	// Gets a PersistentResource.
	GetPersistentResource(context.Context, *GetPersistentResourceRequest) (*PersistentResource, error)
	// Lists PersistentResources in a Location.
	ListPersistentResources(context.Context, *ListPersistentResourcesRequest) (*ListPersistentResourcesResponse, error)
	// Deletes a PersistentResource.
	DeletePersistentResource(context.Context, *DeletePersistentResourceRequest) (*longrunningpb.Operation, error)
	// Updates a PersistentResource.
	UpdatePersistentResource(context.Context, *UpdatePersistentResourceRequest) (*longrunningpb.Operation, error)
	// Reboots a PersistentResource.
	RebootPersistentResource(context.Context, *RebootPersistentResourceRequest) (*longrunningpb.Operation, error)
}

PersistentResourceServiceServer is the server API for PersistentResourceService service.

type PersistentResource_State 

type PersistentResource_State int32

Describes the PersistentResource state. 

const (
	// Not set.
	PersistentResource_STATE_UNSPECIFIED PersistentResource_State = 0
	// The PROVISIONING state indicates the persistent resources is being
	// created.
	PersistentResource_PROVISIONING PersistentResource_State = 1
	// The RUNNING state indicates the persistent resource is healthy and fully
	// usable.
	PersistentResource_RUNNING PersistentResource_State = 3
	// The STOPPING state indicates the persistent resource is being deleted.
	PersistentResource_STOPPING PersistentResource_State = 4
	// The ERROR state indicates the persistent resource may be unusable.
	// Details can be found in the `error` field.
	PersistentResource_ERROR PersistentResource_State = 5
	// The REBOOTING state indicates the persistent resource is being rebooted
	// (PR is not available right now but is expected to be ready again later).
	PersistentResource_REBOOTING PersistentResource_State = 6
	// The UPDATING state indicates the persistent resource is being updated.
	PersistentResource_UPDATING PersistentResource_State = 7
)

func (PersistentResource_State) Descriptor 

func (PersistentResource_State) Descriptor() protoreflect.EnumDescriptor

func (PersistentResource_State) Enum 

func (x PersistentResource_State) Enum() *PersistentResource_State

func (PersistentResource_State) EnumDescriptor 

func (PersistentResource_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use PersistentResource_State.Descriptor instead.

func (PersistentResource_State) Number 

func (x PersistentResource_State) Number() protoreflect.EnumNumber

func (PersistentResource_State) String 

func (x PersistentResource_State) String() string

func (PersistentResource_State) Type 

func (PersistentResource_State) Type() protoreflect.EnumType

type PipelineFailurePolicy 

type PipelineFailurePolicy int32

Represents the failure policy of a pipeline. Currently, the default of a pipeline is that the pipeline will continue to run until no more tasks can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling any new tasks when a task has failed. Any scheduled tasks will continue to completion. 

const (
	// Default value, and follows fail slow behavior.
	PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_UNSPECIFIED PipelineFailurePolicy = 0
	// Indicates that the pipeline should continue to run until all possible
	// tasks have been scheduled and completed.
	PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_SLOW PipelineFailurePolicy = 1
	// Indicates that the pipeline should stop scheduling new tasks after a task
	// has failed.
	PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_FAST PipelineFailurePolicy = 2
)

func (PipelineFailurePolicy) Descriptor 

func (PipelineFailurePolicy) Descriptor() protoreflect.EnumDescriptor

func (PipelineFailurePolicy) Enum 

func (x PipelineFailurePolicy) Enum() *PipelineFailurePolicy

func (PipelineFailurePolicy) EnumDescriptor 

func (PipelineFailurePolicy) EnumDescriptor() ([]byte, []int)

Deprecated: Use PipelineFailurePolicy.Descriptor instead.

func (PipelineFailurePolicy) Number 

func (x PipelineFailurePolicy) Number() protoreflect.EnumNumber

func (PipelineFailurePolicy) String 

func (x PipelineFailurePolicy) String() string

func (PipelineFailurePolicy) Type 

func (PipelineFailurePolicy) Type() protoreflect.EnumType

type PipelineJob 

type PipelineJob struct {

	// Output only. The resource name of the PipelineJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The display name of the Pipeline.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Pipeline creation time.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Pipeline start time.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Pipeline end time.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Timestamp when this PipelineJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The spec of the pipeline.
	PipelineSpec *structpb.Struct `protobuf:"bytes,7,opt,name=pipeline_spec,json=pipelineSpec,proto3" json:"pipeline_spec,omitempty"`
	// Output only. The detailed state of the job.
	State PipelineState `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineState" json:"state,omitempty"`
	// Output only. The details of pipeline run. Not available in the list view.
	JobDetail *PipelineJobDetail `protobuf:"bytes,9,opt,name=job_detail,json=jobDetail,proto3" json:"job_detail,omitempty"`
	// Output only. The error that occurred during pipeline execution.
	// Only populated when the pipeline's state is FAILED or CANCELLED.
	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize PipelineJob.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	//
	// Note there is some reserved label key for Vertex AI Pipelines.
	// - `vertex-ai-pipelines-run-billing-id`, user set value will get overrided.
	Labels map[string]string `protobuf:"bytes,11,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Runtime config of the pipeline.
	RuntimeConfig *PipelineJob_RuntimeConfig `protobuf:"bytes,12,opt,name=runtime_config,json=runtimeConfig,proto3" json:"runtime_config,omitempty"`
	// Customer-managed encryption key spec for a pipelineJob. If set, this
	// PipelineJob and all of its sub-resources will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,16,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// The service account that the pipeline workload runs as.
	// If not specified, the Compute Engine default service account in the project
	// will be used.
	// See
	// https://cloud.google.com/compute/docs/access/service-accounts#default_service_account
	//
	// Users starting the pipeline must have the `iam.serviceAccounts.actAs`
	// permission on this service account.
	ServiceAccount string `protobuf:"bytes,17,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// The full name of the Compute Engine
	// [network](/compute/docs/networks-and-firewalls#networks) to which the
	// Pipeline Job's workload should be peered. For example,
	// `projects/12345/global/networks/myVPC`.
	// [Format](/compute/docs/reference/rest/v1/networks/insert)
	// is of the form `projects/{project}/global/networks/{network}`.
	// Where {project} is a project number, as in `12345`, and {network} is a
	// network name.
	//
	// Private services access must already be configured for the network.
	// Pipeline job will apply the network configuration to the Google Cloud
	// resources being launched, if applied, such as Vertex AI
	// Training or Dataflow job. If left unspecified, the workload is not peered
	// with any network.
	Network string `protobuf:"bytes,18,opt,name=network,proto3" json:"network,omitempty"`
	// A list of names for the reserved ip ranges under the VPC network
	// that can be used for this Pipeline Job's workload.
	//
	// If set, we will deploy the Pipeline Job's workload within the provided ip
	// ranges. Otherwise, the job will be deployed to any ip ranges under the
	// provided VPC network.
	//
	// Example: ['vertex-ai-ip-range'].
	ReservedIpRanges []string `protobuf:"bytes,25,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"`
	// A template uri from where the
	// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
	// if empty, will be downloaded. Currently, only uri from Vertex Template
	// Registry & Gallery is supported. Reference to
	// https://cloud.google.com/vertex-ai/docs/pipelines/create-pipeline-template.
	TemplateUri string `protobuf:"bytes,19,opt,name=template_uri,json=templateUri,proto3" json:"template_uri,omitempty"`
	// Output only. Pipeline template metadata. Will fill up fields if
	// [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
	// is from supported template registry.
	TemplateMetadata *PipelineTemplateMetadata `protobuf:"bytes,20,opt,name=template_metadata,json=templateMetadata,proto3" json:"template_metadata,omitempty"`
	// Output only. The schedule resource name.
	// Only returned if the Pipeline is created by Schedule API.
	ScheduleName string `protobuf:"bytes,22,opt,name=schedule_name,json=scheduleName,proto3" json:"schedule_name,omitempty"`
	// Optional. Whether to do component level validations before job creation.
	PreflightValidations bool `protobuf:"varint,26,opt,name=preflight_validations,json=preflightValidations,proto3" json:"preflight_validations,omitempty"`
	// contains filtered or unexported fields
}

An instance of a machine learning PipelineJob.

func (*PipelineJob) Descriptor 

func (*PipelineJob) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJob.ProtoReflect.Descriptor instead.

func (*PipelineJob) GetCreateTime 

func (x *PipelineJob) GetCreateTime() *timestamppb.Timestamp

func (*PipelineJob) GetDisplayName 

func (x *PipelineJob) GetDisplayName() string

func (*PipelineJob) GetEncryptionSpec 

func (x *PipelineJob) GetEncryptionSpec() *EncryptionSpec

func (*PipelineJob) GetEndTime 

func (x *PipelineJob) GetEndTime() *timestamppb.Timestamp

func (*PipelineJob) GetError 

func (x *PipelineJob) GetError() *status.Status

func (*PipelineJob) GetJobDetail 

func (x *PipelineJob) GetJobDetail() *PipelineJobDetail

func (*PipelineJob) GetLabels 

func (x *PipelineJob) GetLabels() map[string]string

func (*PipelineJob) GetName 

func (x *PipelineJob) GetName() string

func (*PipelineJob) GetNetwork 

func (x *PipelineJob) GetNetwork() string

func (*PipelineJob) GetPipelineSpec 

func (x *PipelineJob) GetPipelineSpec() *structpb.Struct

func (*PipelineJob) GetPreflightValidations 

func (x *PipelineJob) GetPreflightValidations() bool

func (*PipelineJob) GetReservedIpRanges 

func (x *PipelineJob) GetReservedIpRanges() []string

func (*PipelineJob) GetRuntimeConfig 

func (x *PipelineJob) GetRuntimeConfig() *PipelineJob_RuntimeConfig

func (*PipelineJob) GetScheduleName 

func (x *PipelineJob) GetScheduleName() string

func (*PipelineJob) GetServiceAccount 

func (x *PipelineJob) GetServiceAccount() string

func (*PipelineJob) GetStartTime 

func (x *PipelineJob) GetStartTime() *timestamppb.Timestamp

func (*PipelineJob) GetState 

func (x *PipelineJob) GetState() PipelineState

func (*PipelineJob) GetTemplateMetadata 

func (x *PipelineJob) GetTemplateMetadata() *PipelineTemplateMetadata

func (*PipelineJob) GetTemplateUri 

func (x *PipelineJob) GetTemplateUri() string

func (*PipelineJob) GetUpdateTime 

func (x *PipelineJob) GetUpdateTime() *timestamppb.Timestamp

func (*PipelineJob) ProtoMessage 

func (*PipelineJob) ProtoMessage()

func (*PipelineJob) ProtoReflect 

func (x *PipelineJob) ProtoReflect() protoreflect.Message

func (*PipelineJob) Reset 

func (x *PipelineJob) Reset()

func (*PipelineJob) String 

func (x *PipelineJob) String() string

type PipelineJobDetail 

type PipelineJobDetail struct {

	// Output only. The context of the pipeline.
	PipelineContext *Context `protobuf:"bytes,1,opt,name=pipeline_context,json=pipelineContext,proto3" json:"pipeline_context,omitempty"`
	// Output only. The context of the current pipeline run.
	PipelineRunContext *Context `protobuf:"bytes,2,opt,name=pipeline_run_context,json=pipelineRunContext,proto3" json:"pipeline_run_context,omitempty"`
	// Output only. The runtime details of the tasks under the pipeline.
	TaskDetails []*PipelineTaskDetail `protobuf:"bytes,3,rep,name=task_details,json=taskDetails,proto3" json:"task_details,omitempty"`
	// contains filtered or unexported fields
}

The runtime detail of PipelineJob.

func (*PipelineJobDetail) Descriptor 

func (*PipelineJobDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJobDetail.ProtoReflect.Descriptor instead.

func (*PipelineJobDetail) GetPipelineContext 

func (x *PipelineJobDetail) GetPipelineContext() *Context

func (*PipelineJobDetail) GetPipelineRunContext 

func (x *PipelineJobDetail) GetPipelineRunContext() *Context

func (*PipelineJobDetail) GetTaskDetails 

func (x *PipelineJobDetail) GetTaskDetails() []*PipelineTaskDetail

func (*PipelineJobDetail) ProtoMessage 

func (*PipelineJobDetail) ProtoMessage()

func (*PipelineJobDetail) ProtoReflect 

func (x *PipelineJobDetail) ProtoReflect() protoreflect.Message

func (*PipelineJobDetail) Reset 

func (x *PipelineJobDetail) Reset()

func (*PipelineJobDetail) String 

func (x *PipelineJobDetail) String() string

type PipelineJob_RuntimeConfig 

type PipelineJob_RuntimeConfig struct {

	// Deprecated. Use
	// [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
	// instead. The runtime parameters of the PipelineJob. The parameters will
	// be passed into
	// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
	// to replace the placeholders at runtime. This field is used by pipelines
	// built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
	// such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/pipeline_job.proto.
	Parameters map[string]*Value `protobuf:"bytes,1,rep,name=parameters,proto3" json:"parameters,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Required. A path in a Cloud Storage bucket, which will be treated as the
	// root output directory of the pipeline. It is used by the system to
	// generate the paths of output artifacts. The artifact paths are generated
	// with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
	// specified output directory. The service account specified in this
	// pipeline must have the `storage.objects.get` and `storage.objects.create`
	// permissions for this bucket.
	GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`
	// The runtime parameters of the PipelineJob. The parameters will be
	// passed into
	// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
	// to replace the placeholders at runtime. This field is used by pipelines
	// built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
	// pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
	// DSL.
	ParameterValues map[string]*structpb.Value `protobuf:"bytes,3,rep,name=parameter_values,json=parameterValues,proto3" json:"parameter_values,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Represents the failure policy of a pipeline. Currently, the default of a
	// pipeline is that the pipeline will continue to run until no more tasks
	// can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW.
	// However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it
	// will stop scheduling any new tasks when a task has failed. Any scheduled
	// tasks will continue to completion.
	FailurePolicy PipelineFailurePolicy `protobuf:"varint,4,opt,name=failure_policy,json=failurePolicy,proto3,enum=google.cloud.aiplatform.v1.PipelineFailurePolicy" json:"failure_policy,omitempty"`
	// The runtime artifacts of the PipelineJob. The key will be the input
	// artifact name and the value would be one of the InputArtifact.
	InputArtifacts map[string]*PipelineJob_RuntimeConfig_InputArtifact `protobuf:"bytes,5,rep,name=input_artifacts,json=inputArtifacts,proto3" json:"input_artifacts,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

The runtime config of a PipelineJob.

func (*PipelineJob_RuntimeConfig) Descriptor 

func (*PipelineJob_RuntimeConfig) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJob_RuntimeConfig.ProtoReflect.Descriptor instead.

func (*PipelineJob_RuntimeConfig) GetFailurePolicy 

func (x *PipelineJob_RuntimeConfig) GetFailurePolicy() PipelineFailurePolicy

func (*PipelineJob_RuntimeConfig) GetGcsOutputDirectory 

func (x *PipelineJob_RuntimeConfig) GetGcsOutputDirectory() string

func (*PipelineJob_RuntimeConfig) GetInputArtifacts 

func (x *PipelineJob_RuntimeConfig) GetInputArtifacts() map[string]*PipelineJob_RuntimeConfig_InputArtifact

func (*PipelineJob_RuntimeConfig) GetParameterValues 

func (x *PipelineJob_RuntimeConfig) GetParameterValues() map[string]*structpb.Value

func (*PipelineJob_RuntimeConfig) GetParameters 

func (x *PipelineJob_RuntimeConfig) GetParameters() map[string]*Value

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/pipeline_job.proto.

func (*PipelineJob_RuntimeConfig) ProtoMessage 

func (*PipelineJob_RuntimeConfig) ProtoMessage()

func (*PipelineJob_RuntimeConfig) ProtoReflect 

func (x *PipelineJob_RuntimeConfig) ProtoReflect() protoreflect.Message

func (*PipelineJob_RuntimeConfig) Reset 

func (x *PipelineJob_RuntimeConfig) Reset()

func (*PipelineJob_RuntimeConfig) String 

func (x *PipelineJob_RuntimeConfig) String() string

type PipelineJob_RuntimeConfig_InputArtifact 

type PipelineJob_RuntimeConfig_InputArtifact struct {

	// Types that are assignable to Kind:
	//
	//	*PipelineJob_RuntimeConfig_InputArtifact_ArtifactId
	Kind isPipelineJob_RuntimeConfig_InputArtifact_Kind `protobuf_oneof:"kind"`
	// contains filtered or unexported fields
}

The type of an input artifact.

func (*PipelineJob_RuntimeConfig_InputArtifact) Descriptor 

func (*PipelineJob_RuntimeConfig_InputArtifact) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJob_RuntimeConfig_InputArtifact.ProtoReflect.Descriptor instead.

func (*PipelineJob_RuntimeConfig_InputArtifact) GetArtifactId 

func (x *PipelineJob_RuntimeConfig_InputArtifact) GetArtifactId() string

func (*PipelineJob_RuntimeConfig_InputArtifact) GetKind 

func (m *PipelineJob_RuntimeConfig_InputArtifact) GetKind() isPipelineJob_RuntimeConfig_InputArtifact_Kind

func (*PipelineJob_RuntimeConfig_InputArtifact) ProtoMessage 

func (*PipelineJob_RuntimeConfig_InputArtifact) ProtoMessage()

func (*PipelineJob_RuntimeConfig_InputArtifact) ProtoReflect 

func (x *PipelineJob_RuntimeConfig_InputArtifact) ProtoReflect() protoreflect.Message

func (*PipelineJob_RuntimeConfig_InputArtifact) Reset 

func (x *PipelineJob_RuntimeConfig_InputArtifact) Reset()

func (*PipelineJob_RuntimeConfig_InputArtifact) String 

func (x *PipelineJob_RuntimeConfig_InputArtifact) String() string

type PipelineJob_RuntimeConfig_InputArtifact_ArtifactId 

type PipelineJob_RuntimeConfig_InputArtifact_ArtifactId struct {
	// Artifact resource id from MLMD. Which is the last portion of an
	// artifact resource name:
	// `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`.
	// The artifact must stay within the same project, location and default
	// metadatastore as the pipeline.
	ArtifactId string `protobuf:"bytes,1,opt,name=artifact_id,json=artifactId,proto3,oneof"`
}

type PipelineServiceClient 

type PipelineServiceClient interface {
	// Creates a TrainingPipeline. A created TrainingPipeline right away will be
	// attempted to be run.
	CreateTrainingPipeline(ctx context.Context, in *CreateTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
	// Gets a TrainingPipeline.
	GetTrainingPipeline(ctx context.Context, in *GetTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
	// Lists TrainingPipelines in a Location.
	ListTrainingPipelines(ctx context.Context, in *ListTrainingPipelinesRequest, opts ...grpc.CallOption) (*ListTrainingPipelinesResponse, error)
	// Deletes a TrainingPipeline.
	DeleteTrainingPipeline(ctx context.Context, in *DeleteTrainingPipelineRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a TrainingPipeline.
	// Starts asynchronous cancellation on the TrainingPipeline. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use
	// [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
	// or other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the TrainingPipeline is not deleted; instead it becomes a pipeline with
	// a
	// [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error]
	// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and
	// [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state]
	// is set to `CANCELLED`.
	CancelTrainingPipeline(ctx context.Context, in *CancelTrainingPipelineRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a PipelineJob. A PipelineJob will run immediately when created.
	CreatePipelineJob(ctx context.Context, in *CreatePipelineJobRequest, opts ...grpc.CallOption) (*PipelineJob, error)
	// Gets a PipelineJob.
	GetPipelineJob(ctx context.Context, in *GetPipelineJobRequest, opts ...grpc.CallOption) (*PipelineJob, error)
	// Lists PipelineJobs in a Location.
	ListPipelineJobs(ctx context.Context, in *ListPipelineJobsRequest, opts ...grpc.CallOption) (*ListPipelineJobsResponse, error)
	// Deletes a PipelineJob.
	DeletePipelineJob(ctx context.Context, in *DeletePipelineJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Batch deletes PipelineJobs
	// The Operation is atomic. If it fails, none of the PipelineJobs are deleted.
	// If it succeeds, all of the PipelineJobs are deleted.
	BatchDeletePipelineJobs(ctx context.Context, in *BatchDeletePipelineJobsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a PipelineJob.
	// Starts asynchronous cancellation on the PipelineJob. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use
	// [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the PipelineJob is not deleted; instead it becomes a pipeline with
	// a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value
	// with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
	// to `Code.CANCELLED`, and
	// [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
	// `CANCELLED`.
	CancelPipelineJob(ctx context.Context, in *CancelPipelineJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Batch cancel PipelineJobs.
	// Firstly the server will check if all the jobs are in non-terminal states,
	// and skip the jobs that are already terminated.
	// If the operation failed, none of the pipeline jobs are cancelled.
	// The server will poll the states of all the pipeline jobs periodically
	// to check the cancellation status.
	// This operation will return an LRO.
	BatchCancelPipelineJobs(ctx context.Context, in *BatchCancelPipelineJobsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

PipelineServiceClient is the client API for PipelineService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewPipelineServiceClient 

func NewPipelineServiceClient(cc grpc.ClientConnInterface) PipelineServiceClient

type PipelineServiceServer 

type PipelineServiceServer interface {
	// Creates a TrainingPipeline. A created TrainingPipeline right away will be
	// attempted to be run.
	CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error)
	// Gets a TrainingPipeline.
	GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error)
	// Lists TrainingPipelines in a Location.
	ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error)
	// Deletes a TrainingPipeline.
	DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunningpb.Operation, error)
	// Cancels a TrainingPipeline.
	// Starts asynchronous cancellation on the TrainingPipeline. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use
	// [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
	// or other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the TrainingPipeline is not deleted; instead it becomes a pipeline with
	// a
	// [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error]
	// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and
	// [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state]
	// is set to `CANCELLED`.
	CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error)
	// Creates a PipelineJob. A PipelineJob will run immediately when created.
	CreatePipelineJob(context.Context, *CreatePipelineJobRequest) (*PipelineJob, error)
	// Gets a PipelineJob.
	GetPipelineJob(context.Context, *GetPipelineJobRequest) (*PipelineJob, error)
	// Lists PipelineJobs in a Location.
	ListPipelineJobs(context.Context, *ListPipelineJobsRequest) (*ListPipelineJobsResponse, error)
	// Deletes a PipelineJob.
	DeletePipelineJob(context.Context, *DeletePipelineJobRequest) (*longrunningpb.Operation, error)
	// Batch deletes PipelineJobs
	// The Operation is atomic. If it fails, none of the PipelineJobs are deleted.
	// If it succeeds, all of the PipelineJobs are deleted.
	BatchDeletePipelineJobs(context.Context, *BatchDeletePipelineJobsRequest) (*longrunningpb.Operation, error)
	// Cancels a PipelineJob.
	// Starts asynchronous cancellation on the PipelineJob. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use
	// [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the PipelineJob is not deleted; instead it becomes a pipeline with
	// a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value
	// with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
	// to `Code.CANCELLED`, and
	// [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
	// `CANCELLED`.
	CancelPipelineJob(context.Context, *CancelPipelineJobRequest) (*emptypb.Empty, error)
	// Batch cancel PipelineJobs.
	// Firstly the server will check if all the jobs are in non-terminal states,
	// and skip the jobs that are already terminated.
	// If the operation failed, none of the pipeline jobs are cancelled.
	// The server will poll the states of all the pipeline jobs periodically
	// to check the cancellation status.
	// This operation will return an LRO.
	BatchCancelPipelineJobs(context.Context, *BatchCancelPipelineJobsRequest) (*longrunningpb.Operation, error)
}

PipelineServiceServer is the server API for PipelineService service.

type PipelineState 

type PipelineState int32

Describes the state of a pipeline. 

const (
	// The pipeline state is unspecified.
	PipelineState_PIPELINE_STATE_UNSPECIFIED PipelineState = 0
	// The pipeline has been created or resumed, and processing has not yet
	// begun.
	PipelineState_PIPELINE_STATE_QUEUED PipelineState = 1
	// The service is preparing to run the pipeline.
	PipelineState_PIPELINE_STATE_PENDING PipelineState = 2
	// The pipeline is in progress.
	PipelineState_PIPELINE_STATE_RUNNING PipelineState = 3
	// The pipeline completed successfully.
	PipelineState_PIPELINE_STATE_SUCCEEDED PipelineState = 4
	// The pipeline failed.
	PipelineState_PIPELINE_STATE_FAILED PipelineState = 5
	// The pipeline is being cancelled. From this state, the pipeline may only go
	// to either PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED or
	// PIPELINE_STATE_CANCELLED.
	PipelineState_PIPELINE_STATE_CANCELLING PipelineState = 6
	// The pipeline has been cancelled.
	PipelineState_PIPELINE_STATE_CANCELLED PipelineState = 7
	// The pipeline has been stopped, and can be resumed.
	PipelineState_PIPELINE_STATE_PAUSED PipelineState = 8
)

func (PipelineState) Descriptor 

func (PipelineState) Descriptor() protoreflect.EnumDescriptor

func (PipelineState) Enum 

func (x PipelineState) Enum() *PipelineState

func (PipelineState) EnumDescriptor 

func (PipelineState) EnumDescriptor() ([]byte, []int)

Deprecated: Use PipelineState.Descriptor instead.

func (PipelineState) Number 

func (x PipelineState) Number() protoreflect.EnumNumber

func (PipelineState) String 

func (x PipelineState) String() string

func (PipelineState) Type 

func (PipelineState) Type() protoreflect.EnumType

type PipelineTaskDetail 

type PipelineTaskDetail struct {

	// Output only. The system generated ID of the task.
	TaskId int64 `protobuf:"varint,1,opt,name=task_id,json=taskId,proto3" json:"task_id,omitempty"`
	// Output only. The id of the parent task if the task is within a component
	// scope. Empty if the task is at the root level.
	ParentTaskId int64 `protobuf:"varint,12,opt,name=parent_task_id,json=parentTaskId,proto3" json:"parent_task_id,omitempty"`
	// Output only. The user specified name of the task that is defined in
	// [pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
	TaskName string `protobuf:"bytes,2,opt,name=task_name,json=taskName,proto3" json:"task_name,omitempty"`
	// Output only. Task create time.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Task start time.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Task end time.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. The detailed execution info.
	ExecutorDetail *PipelineTaskExecutorDetail `protobuf:"bytes,6,opt,name=executor_detail,json=executorDetail,proto3" json:"executor_detail,omitempty"`
	// Output only. State of the task.
	State PipelineTaskDetail_State `protobuf:"varint,7,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineTaskDetail_State" json:"state,omitempty"`
	// Output only. The execution metadata of the task.
	Execution *Execution `protobuf:"bytes,8,opt,name=execution,proto3" json:"execution,omitempty"`
	// Output only. The error that occurred during task execution.
	// Only populated when the task's state is FAILED or CANCELLED.
	Error *status.Status `protobuf:"bytes,9,opt,name=error,proto3" json:"error,omitempty"`
	// Output only. A list of task status. This field keeps a record of task
	// status evolving over time.
	PipelineTaskStatus []*PipelineTaskDetail_PipelineTaskStatus `protobuf:"bytes,13,rep,name=pipeline_task_status,json=pipelineTaskStatus,proto3" json:"pipeline_task_status,omitempty"`
	// Output only. The runtime input artifacts of the task.
	Inputs map[string]*PipelineTaskDetail_ArtifactList `protobuf:"bytes,10,rep,name=inputs,proto3" json:"inputs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. The runtime output artifacts of the task.
	Outputs map[string]*PipelineTaskDetail_ArtifactList `protobuf:"bytes,11,rep,name=outputs,proto3" json:"outputs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

The runtime detail of a task execution.

func (*PipelineTaskDetail) Descriptor 

func (*PipelineTaskDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskDetail) GetCreateTime 

func (x *PipelineTaskDetail) GetCreateTime() *timestamppb.Timestamp

func (*PipelineTaskDetail) GetEndTime 

func (x *PipelineTaskDetail) GetEndTime() *timestamppb.Timestamp

func (*PipelineTaskDetail) GetError 

func (x *PipelineTaskDetail) GetError() *status.Status

func (*PipelineTaskDetail) GetExecution 

func (x *PipelineTaskDetail) GetExecution() *Execution

func (*PipelineTaskDetail) GetExecutorDetail 

func (x *PipelineTaskDetail) GetExecutorDetail() *PipelineTaskExecutorDetail

func (*PipelineTaskDetail) GetInputs 

func (x *PipelineTaskDetail) GetInputs() map[string]*PipelineTaskDetail_ArtifactList

func (*PipelineTaskDetail) GetOutputs 

func (x *PipelineTaskDetail) GetOutputs() map[string]*PipelineTaskDetail_ArtifactList

func (*PipelineTaskDetail) GetParentTaskId 

func (x *PipelineTaskDetail) GetParentTaskId() int64

func (*PipelineTaskDetail) GetPipelineTaskStatus 

func (x *PipelineTaskDetail) GetPipelineTaskStatus() []*PipelineTaskDetail_PipelineTaskStatus

func (*PipelineTaskDetail) GetStartTime 

func (x *PipelineTaskDetail) GetStartTime() *timestamppb.Timestamp

func (*PipelineTaskDetail) GetState 

func (x *PipelineTaskDetail) GetState() PipelineTaskDetail_State

func (*PipelineTaskDetail) GetTaskId 

func (x *PipelineTaskDetail) GetTaskId() int64

func (*PipelineTaskDetail) GetTaskName 

func (x *PipelineTaskDetail) GetTaskName() string

func (*PipelineTaskDetail) ProtoMessage 

func (*PipelineTaskDetail) ProtoMessage()

func (*PipelineTaskDetail) ProtoReflect 

func (x *PipelineTaskDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskDetail) Reset 

func (x *PipelineTaskDetail) Reset()

func (*PipelineTaskDetail) String 

func (x *PipelineTaskDetail) String() string

type PipelineTaskDetail_ArtifactList 

type PipelineTaskDetail_ArtifactList struct {

	// Output only. A list of artifact metadata.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// contains filtered or unexported fields
}

A list of artifact metadata.

func (*PipelineTaskDetail_ArtifactList) Descriptor 

func (*PipelineTaskDetail_ArtifactList) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail_ArtifactList.ProtoReflect.Descriptor instead.

func (*PipelineTaskDetail_ArtifactList) GetArtifacts 

func (x *PipelineTaskDetail_ArtifactList) GetArtifacts() []*Artifact

func (*PipelineTaskDetail_ArtifactList) ProtoMessage 

func (*PipelineTaskDetail_ArtifactList) ProtoMessage()

func (*PipelineTaskDetail_ArtifactList) ProtoReflect 

func (x *PipelineTaskDetail_ArtifactList) ProtoReflect() protoreflect.Message

func (*PipelineTaskDetail_ArtifactList) Reset 

func (x *PipelineTaskDetail_ArtifactList) Reset()

func (*PipelineTaskDetail_ArtifactList) String 

func (x *PipelineTaskDetail_ArtifactList) String() string

type PipelineTaskDetail_PipelineTaskStatus 

type PipelineTaskDetail_PipelineTaskStatus struct {

	// Output only. Update time of this status.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. The state of the task.
	State PipelineTaskDetail_State `protobuf:"varint,2,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineTaskDetail_State" json:"state,omitempty"`
	// Output only. The error that occurred during the state. May be set when
	// the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
	// FAILED state. If the state is FAILED, the error here is final and not
	// going to be retried. If the state is a non-final state, the error
	// indicates a system-error being retried.
	Error *status.Status `protobuf:"bytes,3,opt,name=error,proto3" json:"error,omitempty"`
	// contains filtered or unexported fields
}

A single record of the task status.

func (*PipelineTaskDetail_PipelineTaskStatus) Descriptor 

func (*PipelineTaskDetail_PipelineTaskStatus) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail_PipelineTaskStatus.ProtoReflect.Descriptor instead.

func (*PipelineTaskDetail_PipelineTaskStatus) GetError 

func (x *PipelineTaskDetail_PipelineTaskStatus) GetError() *status.Status

func (*PipelineTaskDetail_PipelineTaskStatus) GetState 

func (x *PipelineTaskDetail_PipelineTaskStatus) GetState() PipelineTaskDetail_State

func (*PipelineTaskDetail_PipelineTaskStatus) GetUpdateTime 

func (x *PipelineTaskDetail_PipelineTaskStatus) GetUpdateTime() *timestamppb.Timestamp

func (*PipelineTaskDetail_PipelineTaskStatus) ProtoMessage 

func (*PipelineTaskDetail_PipelineTaskStatus) ProtoMessage()

func (*PipelineTaskDetail_PipelineTaskStatus) ProtoReflect 

func (x *PipelineTaskDetail_PipelineTaskStatus) ProtoReflect() protoreflect.Message

func (*PipelineTaskDetail_PipelineTaskStatus) Reset 

func (x *PipelineTaskDetail_PipelineTaskStatus) Reset()

func (*PipelineTaskDetail_PipelineTaskStatus) String 

func (x *PipelineTaskDetail_PipelineTaskStatus) String() string

type PipelineTaskDetail_State 

type PipelineTaskDetail_State int32

Specifies state of TaskExecution 

const (
	// Unspecified.
	PipelineTaskDetail_STATE_UNSPECIFIED PipelineTaskDetail_State = 0
	// Specifies pending state for the task.
	PipelineTaskDetail_PENDING PipelineTaskDetail_State = 1
	// Specifies task is being executed.
	PipelineTaskDetail_RUNNING PipelineTaskDetail_State = 2
	// Specifies task completed successfully.
	PipelineTaskDetail_SUCCEEDED PipelineTaskDetail_State = 3
	// Specifies Task cancel is in pending state.
	PipelineTaskDetail_CANCEL_PENDING PipelineTaskDetail_State = 4
	// Specifies task is being cancelled.
	PipelineTaskDetail_CANCELLING PipelineTaskDetail_State = 5
	// Specifies task was cancelled.
	PipelineTaskDetail_CANCELLED PipelineTaskDetail_State = 6
	// Specifies task failed.
	PipelineTaskDetail_FAILED PipelineTaskDetail_State = 7
	// Specifies task was skipped due to cache hit.
	PipelineTaskDetail_SKIPPED PipelineTaskDetail_State = 8
	// Specifies that the task was not triggered because the task's trigger
	// policy is not satisfied. The trigger policy is specified in the
	// `condition` field of
	// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
	PipelineTaskDetail_NOT_TRIGGERED PipelineTaskDetail_State = 9
)

func (PipelineTaskDetail_State) Descriptor 

func (PipelineTaskDetail_State) Descriptor() protoreflect.EnumDescriptor

func (PipelineTaskDetail_State) Enum 

func (x PipelineTaskDetail_State) Enum() *PipelineTaskDetail_State

func (PipelineTaskDetail_State) EnumDescriptor 

func (PipelineTaskDetail_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail_State.Descriptor instead.

func (PipelineTaskDetail_State) Number 

func (x PipelineTaskDetail_State) Number() protoreflect.EnumNumber

func (PipelineTaskDetail_State) String 

func (x PipelineTaskDetail_State) String() string

func (PipelineTaskDetail_State) Type 

func (PipelineTaskDetail_State) Type() protoreflect.EnumType

type PipelineTaskExecutorDetail 

type PipelineTaskExecutorDetail struct {

	// Types that are assignable to Details:
	//
	//	*PipelineTaskExecutorDetail_ContainerDetail_
	//	*PipelineTaskExecutorDetail_CustomJobDetail_
	Details isPipelineTaskExecutorDetail_Details `protobuf_oneof:"details"`
	// contains filtered or unexported fields
}

The runtime detail of a pipeline executor.

func (*PipelineTaskExecutorDetail) Descriptor 

func (*PipelineTaskExecutorDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskExecutorDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskExecutorDetail) GetContainerDetail 

func (x *PipelineTaskExecutorDetail) GetContainerDetail() *PipelineTaskExecutorDetail_ContainerDetail

func (*PipelineTaskExecutorDetail) GetCustomJobDetail 

func (x *PipelineTaskExecutorDetail) GetCustomJobDetail() *PipelineTaskExecutorDetail_CustomJobDetail

func (*PipelineTaskExecutorDetail) GetDetails 

func (m *PipelineTaskExecutorDetail) GetDetails() isPipelineTaskExecutorDetail_Details

func (*PipelineTaskExecutorDetail) ProtoMessage 

func (*PipelineTaskExecutorDetail) ProtoMessage()

func (*PipelineTaskExecutorDetail) ProtoReflect 

func (x *PipelineTaskExecutorDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskExecutorDetail) Reset 

func (x *PipelineTaskExecutorDetail) Reset()

func (*PipelineTaskExecutorDetail) String 

func (x *PipelineTaskExecutorDetail) String() string

type PipelineTaskExecutorDetail_ContainerDetail 

type PipelineTaskExecutorDetail_ContainerDetail struct {

	// Output only. The name of the
	// [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
	// execution.
	MainJob string `protobuf:"bytes,1,opt,name=main_job,json=mainJob,proto3" json:"main_job,omitempty"`
	// Output only. The name of the
	// [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
	// pre-caching-check container execution. This job will be available if the
	// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
	// specifies the `pre_caching_check` hook in the lifecycle events.
	PreCachingCheckJob string `protobuf:"bytes,2,opt,name=pre_caching_check_job,json=preCachingCheckJob,proto3" json:"pre_caching_check_job,omitempty"`
	// Output only. The names of the previously failed
	// [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
	// executions. The list includes the all attempts in chronological order.
	FailedMainJobs []string `protobuf:"bytes,3,rep,name=failed_main_jobs,json=failedMainJobs,proto3" json:"failed_main_jobs,omitempty"`
	// Output only. The names of the previously failed
	// [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
	// pre-caching-check container executions. This job will be available if the
	// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
	// specifies the `pre_caching_check` hook in the lifecycle events. The list
	// includes the all attempts in chronological order.
	FailedPreCachingCheckJobs []string `protobuf:"bytes,4,rep,name=failed_pre_caching_check_jobs,json=failedPreCachingCheckJobs,proto3" json:"failed_pre_caching_check_jobs,omitempty"`
	// contains filtered or unexported fields
}

The detail of a container execution. It contains the job names of the lifecycle of a container execution.

func (*PipelineTaskExecutorDetail_ContainerDetail) Descriptor 

func (*PipelineTaskExecutorDetail_ContainerDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskExecutorDetail_ContainerDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskExecutorDetail_ContainerDetail) GetFailedMainJobs 

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetFailedMainJobs() []string

func (*PipelineTaskExecutorDetail_ContainerDetail) GetFailedPreCachingCheckJobs 

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetFailedPreCachingCheckJobs() []string

func (*PipelineTaskExecutorDetail_ContainerDetail) GetMainJob 

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetMainJob() string

func (*PipelineTaskExecutorDetail_ContainerDetail) GetPreCachingCheckJob 

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetPreCachingCheckJob() string

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoMessage 

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoMessage()

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoReflect 

func (x *PipelineTaskExecutorDetail_ContainerDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskExecutorDetail_ContainerDetail) Reset 

func (x *PipelineTaskExecutorDetail_ContainerDetail) Reset()

func (*PipelineTaskExecutorDetail_ContainerDetail) String 

func (x *PipelineTaskExecutorDetail_ContainerDetail) String() string

type PipelineTaskExecutorDetail_ContainerDetail_ 

type PipelineTaskExecutorDetail_ContainerDetail_ struct {
	// Output only. The detailed info for a container executor.
	ContainerDetail *PipelineTaskExecutorDetail_ContainerDetail `protobuf:"bytes,1,opt,name=container_detail,json=containerDetail,proto3,oneof"`
}

type PipelineTaskExecutorDetail_CustomJobDetail 

type PipelineTaskExecutorDetail_CustomJobDetail struct {

	// Output only. The name of the
	// [CustomJob][google.cloud.aiplatform.v1.CustomJob].
	Job string `protobuf:"bytes,1,opt,name=job,proto3" json:"job,omitempty"`
	// Output only. The names of the previously failed
	// [CustomJob][google.cloud.aiplatform.v1.CustomJob]. The list includes the
	// all attempts in chronological order.
	FailedJobs []string `protobuf:"bytes,3,rep,name=failed_jobs,json=failedJobs,proto3" json:"failed_jobs,omitempty"`
	// contains filtered or unexported fields
}

The detailed info for a custom job executor.

func (*PipelineTaskExecutorDetail_CustomJobDetail) Descriptor 

func (*PipelineTaskExecutorDetail_CustomJobDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskExecutorDetail_CustomJobDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskExecutorDetail_CustomJobDetail) GetFailedJobs 

func (x *PipelineTaskExecutorDetail_CustomJobDetail) GetFailedJobs() []string

func (*PipelineTaskExecutorDetail_CustomJobDetail) GetJob 

func (x *PipelineTaskExecutorDetail_CustomJobDetail) GetJob() string

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoMessage 

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoMessage()

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoReflect 

func (x *PipelineTaskExecutorDetail_CustomJobDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskExecutorDetail_CustomJobDetail) Reset 

func (x *PipelineTaskExecutorDetail_CustomJobDetail) Reset()

func (*PipelineTaskExecutorDetail_CustomJobDetail) String 

func (x *PipelineTaskExecutorDetail_CustomJobDetail) String() string

type PipelineTaskExecutorDetail_CustomJobDetail_ 

type PipelineTaskExecutorDetail_CustomJobDetail_ struct {
	// Output only. The detailed info for a custom job executor.
	CustomJobDetail *PipelineTaskExecutorDetail_CustomJobDetail `protobuf:"bytes,2,opt,name=custom_job_detail,json=customJobDetail,proto3,oneof"`
}

type PipelineTemplateMetadata 

type PipelineTemplateMetadata struct {

	// The version_name in artifact registry.
	//
	// Will always be presented in output if the
	// [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
	// is from supported template registry.
	//
	// Format is "sha256:abcdef123456...".
	Version string `protobuf:"bytes,3,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry. Currently, the only supported registry is Artifact Registry.

func (*PipelineTemplateMetadata) Descriptor 

func (*PipelineTemplateMetadata) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTemplateMetadata.ProtoReflect.Descriptor instead.

func (*PipelineTemplateMetadata) GetVersion 

func (x *PipelineTemplateMetadata) GetVersion() string

func (*PipelineTemplateMetadata) ProtoMessage 

func (*PipelineTemplateMetadata) ProtoMessage()

func (*PipelineTemplateMetadata) ProtoReflect 

func (x *PipelineTemplateMetadata) ProtoReflect() protoreflect.Message

func (*PipelineTemplateMetadata) Reset 

func (x *PipelineTemplateMetadata) Reset()

func (*PipelineTemplateMetadata) String 

func (x *PipelineTemplateMetadata) String() string

type PointwiseMetricInput 

type PointwiseMetricInput struct {

	// Required. Spec for pointwise metric.
	MetricSpec *PointwiseMetricSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Pointwise metric instance.
	Instance *PointwiseMetricInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for pointwise metric.

func (*PointwiseMetricInput) Descriptor 

func (*PointwiseMetricInput) Descriptor() ([]byte, []int)

Deprecated: Use PointwiseMetricInput.ProtoReflect.Descriptor instead.

func (*PointwiseMetricInput) GetInstance 

func (x *PointwiseMetricInput) GetInstance() *PointwiseMetricInstance

func (*PointwiseMetricInput) GetMetricSpec 

func (x *PointwiseMetricInput) GetMetricSpec() *PointwiseMetricSpec

func (*PointwiseMetricInput) ProtoMessage 

func (*PointwiseMetricInput) ProtoMessage()

func (*PointwiseMetricInput) ProtoReflect 

func (x *PointwiseMetricInput) ProtoReflect() protoreflect.Message

func (*PointwiseMetricInput) Reset 

func (x *PointwiseMetricInput) Reset()

func (*PointwiseMetricInput) String 

func (x *PointwiseMetricInput) String() string

type PointwiseMetricInstance 

type PointwiseMetricInstance struct {

	// Instance for pointwise metric.
	//
	// Types that are assignable to Instance:
	//
	//	*PointwiseMetricInstance_JsonInstance
	Instance isPointwiseMetricInstance_Instance `protobuf_oneof:"instance"`
	// contains filtered or unexported fields
}

Pointwise metric instance. Usually one instance corresponds to one row in an evaluation dataset.

func (*PointwiseMetricInstance) Descriptor 

func (*PointwiseMetricInstance) Descriptor() ([]byte, []int)

Deprecated: Use PointwiseMetricInstance.ProtoReflect.Descriptor instead.

func (*PointwiseMetricInstance) GetInstance 

func (m *PointwiseMetricInstance) GetInstance() isPointwiseMetricInstance_Instance

func (*PointwiseMetricInstance) GetJsonInstance 

func (x *PointwiseMetricInstance) GetJsonInstance() string

func (*PointwiseMetricInstance) ProtoMessage 

func (*PointwiseMetricInstance) ProtoMessage()

func (*PointwiseMetricInstance) ProtoReflect 

func (x *PointwiseMetricInstance) ProtoReflect() protoreflect.Message

func (*PointwiseMetricInstance) Reset 

func (x *PointwiseMetricInstance) Reset()

func (*PointwiseMetricInstance) String 

func (x *PointwiseMetricInstance) String() string

type PointwiseMetricInstance_JsonInstance 

type PointwiseMetricInstance_JsonInstance struct {
	// Instance specified as a json string. String key-value pairs are expected
	// in the json_instance to render
	// PointwiseMetricSpec.instance_prompt_template.
	JsonInstance string `protobuf:"bytes,1,opt,name=json_instance,json=jsonInstance,proto3,oneof"`
}

type PointwiseMetricResult 

type PointwiseMetricResult struct {

	// Output only. Pointwise metric score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for pointwise metric score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// contains filtered or unexported fields
}

Spec for pointwise metric result.

func (*PointwiseMetricResult) Descriptor 

func (*PointwiseMetricResult) Descriptor() ([]byte, []int)

Deprecated: Use PointwiseMetricResult.ProtoReflect.Descriptor instead.

func (*PointwiseMetricResult) GetExplanation 

func (x *PointwiseMetricResult) GetExplanation() string

func (*PointwiseMetricResult) GetScore 

func (x *PointwiseMetricResult) GetScore() float32

func (*PointwiseMetricResult) ProtoMessage 

func (*PointwiseMetricResult) ProtoMessage()

func (*PointwiseMetricResult) ProtoReflect 

func (x *PointwiseMetricResult) ProtoReflect() protoreflect.Message

func (*PointwiseMetricResult) Reset 

func (x *PointwiseMetricResult) Reset()

func (*PointwiseMetricResult) String 

func (x *PointwiseMetricResult) String() string

type PointwiseMetricSpec 

type PointwiseMetricSpec struct {

	// Required. Metric prompt template for pointwise metric.
	MetricPromptTemplate *string `protobuf:"bytes,1,opt,name=metric_prompt_template,json=metricPromptTemplate,proto3,oneof" json:"metric_prompt_template,omitempty"`
	// contains filtered or unexported fields
}

Spec for pointwise metric.

func (*PointwiseMetricSpec) Descriptor 

func (*PointwiseMetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use PointwiseMetricSpec.ProtoReflect.Descriptor instead.

func (*PointwiseMetricSpec) GetMetricPromptTemplate 

func (x *PointwiseMetricSpec) GetMetricPromptTemplate() string

func (*PointwiseMetricSpec) ProtoMessage 

func (*PointwiseMetricSpec) ProtoMessage()

func (*PointwiseMetricSpec) ProtoReflect 

func (x *PointwiseMetricSpec) ProtoReflect() protoreflect.Message

func (*PointwiseMetricSpec) Reset 

func (x *PointwiseMetricSpec) Reset()

func (*PointwiseMetricSpec) String 

func (x *PointwiseMetricSpec) String() string

type Port 

type Port struct {

	// The number of the port to expose on the pod's IP address.
	// Must be a valid port number, between 1 and 65535 inclusive.
	ContainerPort int32 `protobuf:"varint,3,opt,name=container_port,json=containerPort,proto3" json:"container_port,omitempty"`
	// contains filtered or unexported fields
}

Represents a network port in a container.

func (*Port) Descriptor 

func (*Port) Descriptor() ([]byte, []int)

Deprecated: Use Port.ProtoReflect.Descriptor instead.

func (*Port) GetContainerPort 

func (x *Port) GetContainerPort() int32

func (*Port) ProtoMessage 

func (*Port) ProtoMessage()

func (*Port) ProtoReflect 

func (x *Port) ProtoReflect() protoreflect.Message

func (*Port) Reset 

func (x *Port) Reset()

func (*Port) String 

func (x *Port) String() string

type PostStartupScriptConfig 

type PostStartupScriptConfig struct {

	// Optional. Post startup script to run after runtime is started.
	PostStartupScript string `protobuf:"bytes,1,opt,name=post_startup_script,json=postStartupScript,proto3" json:"post_startup_script,omitempty"`
	// Optional. Post startup script url to download. Example:
	// https://bucket/script.sh
	PostStartupScriptUrl string `protobuf:"bytes,2,opt,name=post_startup_script_url,json=postStartupScriptUrl,proto3" json:"post_startup_script_url,omitempty"`
	// Optional. Post startup script behavior that defines download and execution
	// behavior.
	PostStartupScriptBehavior PostStartupScriptConfig_PostStartupScriptBehavior `protobuf:"varint,3,opt,name=post_startup_script_behavior,json=postStartupScriptBehavior,proto3,enum=google.cloud.aiplatform.v1.PostStartupScriptConfig_PostStartupScriptBehavior" json:"post_startup_script_behavior,omitempty"`
	// contains filtered or unexported fields
}

Post startup script config.

func (*PostStartupScriptConfig) Descriptor 

func (*PostStartupScriptConfig) Descriptor() ([]byte, []int)

Deprecated: Use PostStartupScriptConfig.ProtoReflect.Descriptor instead.

func (*PostStartupScriptConfig) GetPostStartupScript 

func (x *PostStartupScriptConfig) GetPostStartupScript() string

func (*PostStartupScriptConfig) GetPostStartupScriptBehavior 

func (x *PostStartupScriptConfig) GetPostStartupScriptBehavior() PostStartupScriptConfig_PostStartupScriptBehavior

func (*PostStartupScriptConfig) GetPostStartupScriptUrl 

func (x *PostStartupScriptConfig) GetPostStartupScriptUrl() string

func (*PostStartupScriptConfig) ProtoMessage 

func (*PostStartupScriptConfig) ProtoMessage()

func (*PostStartupScriptConfig) ProtoReflect 

func (x *PostStartupScriptConfig) ProtoReflect() protoreflect.Message

func (*PostStartupScriptConfig) Reset 

func (x *PostStartupScriptConfig) Reset()

func (*PostStartupScriptConfig) String 

func (x *PostStartupScriptConfig) String() string

type PostStartupScriptConfig_PostStartupScriptBehavior 

type PostStartupScriptConfig_PostStartupScriptBehavior int32

Represents a notebook runtime post startup script behavior. 

const (
	// Unspecified post startup script behavior.
	PostStartupScriptConfig_POST_STARTUP_SCRIPT_BEHAVIOR_UNSPECIFIED PostStartupScriptConfig_PostStartupScriptBehavior = 0
	// Run post startup script after runtime is started.
	PostStartupScriptConfig_RUN_ONCE PostStartupScriptConfig_PostStartupScriptBehavior = 1
	// Run post startup script after runtime is stopped.
	PostStartupScriptConfig_RUN_EVERY_START PostStartupScriptConfig_PostStartupScriptBehavior = 2
	// Download and run post startup script every time runtime is started.
	PostStartupScriptConfig_DOWNLOAD_AND_RUN_EVERY_START PostStartupScriptConfig_PostStartupScriptBehavior = 3
)

func (PostStartupScriptConfig_PostStartupScriptBehavior) Descriptor 

func (PostStartupScriptConfig_PostStartupScriptBehavior) Descriptor() protoreflect.EnumDescriptor

func (PostStartupScriptConfig_PostStartupScriptBehavior) Enum 

func (x PostStartupScriptConfig_PostStartupScriptBehavior) Enum() *PostStartupScriptConfig_PostStartupScriptBehavior

func (PostStartupScriptConfig_PostStartupScriptBehavior) EnumDescriptor 

func (PostStartupScriptConfig_PostStartupScriptBehavior) EnumDescriptor() ([]byte, []int)

Deprecated: Use PostStartupScriptConfig_PostStartupScriptBehavior.Descriptor instead.

func (PostStartupScriptConfig_PostStartupScriptBehavior) Number 

func (x PostStartupScriptConfig_PostStartupScriptBehavior) Number() protoreflect.EnumNumber

func (PostStartupScriptConfig_PostStartupScriptBehavior) String 

func (x PostStartupScriptConfig_PostStartupScriptBehavior) String() string

func (PostStartupScriptConfig_PostStartupScriptBehavior) Type 

func (PostStartupScriptConfig_PostStartupScriptBehavior) Type() protoreflect.EnumType

type PredefinedSplit 

type PredefinedSplit struct {

	// Required. The key is a name of one of the Dataset's data columns.
	// The value of the key (either the label's value or value in the column)
	// must be one of {`training`, `validation`, `test`}, and it defines to which
	// set the given piece of data is assigned. If for a piece of data the key
	// is not present or has an invalid value, that piece is ignored by the
	// pipeline.
	Key string `protobuf:"bytes,1,opt,name=key,proto3" json:"key,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on the value of a provided key.

Supported only for tabular Datasets.

func (*PredefinedSplit) Descriptor 

func (*PredefinedSplit) Descriptor() ([]byte, []int)

Deprecated: Use PredefinedSplit.ProtoReflect.Descriptor instead.

func (*PredefinedSplit) GetKey 

func (x *PredefinedSplit) GetKey() string

func (*PredefinedSplit) ProtoMessage 

func (*PredefinedSplit) ProtoMessage()

func (*PredefinedSplit) ProtoReflect 

func (x *PredefinedSplit) ProtoReflect() protoreflect.Message

func (*PredefinedSplit) Reset 

func (x *PredefinedSplit) Reset()

func (*PredefinedSplit) String 

func (x *PredefinedSplit) String() string

type PredictRequest 

type PredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The instances that are the input to the prediction call.
	// A DeployedModel may have an upper limit on the number of instances it
	// supports per request, and when it is exceeded the prediction call errors
	// in case of AutoML Models, or, in case of customer created Models, the
	// behaviour is as documented by that Model.
	// The schema of any single instance may be specified via Endpoint's
	// DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// The parameters that govern the prediction. The schema of the parameters may
	// be specified via Endpoint's DeployedModels' [Model's
	// ][google.cloud.aiplatform.v1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
	Parameters *structpb.Value `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].

func (*PredictRequest) Descriptor 

func (*PredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use PredictRequest.ProtoReflect.Descriptor instead.

func (*PredictRequest) GetEndpoint 

func (x *PredictRequest) GetEndpoint() string

func (*PredictRequest) GetInstances 

func (x *PredictRequest) GetInstances() []*structpb.Value

func (*PredictRequest) GetParameters 

func (x *PredictRequest) GetParameters() *structpb.Value

func (*PredictRequest) ProtoMessage 

func (*PredictRequest) ProtoMessage()

func (*PredictRequest) ProtoReflect 

func (x *PredictRequest) ProtoReflect() protoreflect.Message

func (*PredictRequest) Reset 

func (x *PredictRequest) Reset()

func (*PredictRequest) String 

func (x *PredictRequest) String() string

type PredictRequestResponseLoggingConfig 

type PredictRequestResponseLoggingConfig struct {

	// If logging is enabled or not.
	Enabled bool `protobuf:"varint,1,opt,name=enabled,proto3" json:"enabled,omitempty"`
	// Percentage of requests to be logged, expressed as a fraction in
	// range(0,1].
	SamplingRate float64 `protobuf:"fixed64,2,opt,name=sampling_rate,json=samplingRate,proto3" json:"sampling_rate,omitempty"`
	// BigQuery table for logging.
	// If only given a project, a new dataset will be created with name
	// `logging_<endpoint-display-name>_<endpoint-id>` where
	// <endpoint-display-name> will be made BigQuery-dataset-name compatible (e.g.
	// most special characters will become underscores). If no table name is
	// given, a new table will be created with name `request_response_logging`
	BigqueryDestination *BigQueryDestination `protobuf:"bytes,3,opt,name=bigquery_destination,json=bigqueryDestination,proto3" json:"bigquery_destination,omitempty"`
	// contains filtered or unexported fields
}

Configuration for logging request-response to a BigQuery table.

func (*PredictRequestResponseLoggingConfig) Descriptor 

func (*PredictRequestResponseLoggingConfig) Descriptor() ([]byte, []int)

Deprecated: Use PredictRequestResponseLoggingConfig.ProtoReflect.Descriptor instead.

func (*PredictRequestResponseLoggingConfig) GetBigqueryDestination 

func (x *PredictRequestResponseLoggingConfig) GetBigqueryDestination() *BigQueryDestination

func (*PredictRequestResponseLoggingConfig) GetEnabled 

func (x *PredictRequestResponseLoggingConfig) GetEnabled() bool

func (*PredictRequestResponseLoggingConfig) GetSamplingRate 

func (x *PredictRequestResponseLoggingConfig) GetSamplingRate() float64

func (*PredictRequestResponseLoggingConfig) ProtoMessage 

func (*PredictRequestResponseLoggingConfig) ProtoMessage()

func (*PredictRequestResponseLoggingConfig) ProtoReflect 

func (x *PredictRequestResponseLoggingConfig) ProtoReflect() protoreflect.Message

func (*PredictRequestResponseLoggingConfig) Reset 

func (x *PredictRequestResponseLoggingConfig) Reset()

func (*PredictRequestResponseLoggingConfig) String 

func (x *PredictRequestResponseLoggingConfig) String() string

type PredictResponse 

type PredictResponse struct {

	// The predictions that are the output of the predictions call.
	// The schema of any single prediction may be specified via Endpoint's
	// DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
	Predictions []*structpb.Value `protobuf:"bytes,1,rep,name=predictions,proto3" json:"predictions,omitempty"`
	// ID of the Endpoint's DeployedModel that served this prediction.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// Output only. The resource name of the Model which is deployed as the
	// DeployedModel that this prediction hits.
	Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. The version ID of the Model which is deployed as the
	// DeployedModel that this prediction hits.
	ModelVersionId string `protobuf:"bytes,5,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
	// Output only. The [display
	// name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
	// deployed as the DeployedModel that this prediction hits.
	ModelDisplayName string `protobuf:"bytes,4,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// Output only. Request-level metadata returned by the model. The metadata
	// type will be dependent upon the model implementation.
	Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].

func (*PredictResponse) Descriptor 

func (*PredictResponse) Descriptor() ([]byte, []int)

Deprecated: Use PredictResponse.ProtoReflect.Descriptor instead.

func (*PredictResponse) GetDeployedModelId 

func (x *PredictResponse) GetDeployedModelId() string

func (*PredictResponse) GetMetadata 

func (x *PredictResponse) GetMetadata() *structpb.Value

func (*PredictResponse) GetModel 

func (x *PredictResponse) GetModel() string

func (*PredictResponse) GetModelDisplayName 

func (x *PredictResponse) GetModelDisplayName() string

func (*PredictResponse) GetModelVersionId 

func (x *PredictResponse) GetModelVersionId() string

func (*PredictResponse) GetPredictions 

func (x *PredictResponse) GetPredictions() []*structpb.Value

func (*PredictResponse) ProtoMessage 

func (*PredictResponse) ProtoMessage()

func (*PredictResponse) ProtoReflect 

func (x *PredictResponse) ProtoReflect() protoreflect.Message

func (*PredictResponse) Reset 

func (x *PredictResponse) Reset()

func (*PredictResponse) String 

func (x *PredictResponse) String() string

type PredictSchemata 

type PredictSchemata struct {

	// Immutable. Points to a YAML file stored on Google Cloud Storage describing
	// the format of a single instance, which are used in
	// [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
	// [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
	// and
	// [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	InstanceSchemaUri string `protobuf:"bytes,1,opt,name=instance_schema_uri,json=instanceSchemaUri,proto3" json:"instance_schema_uri,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing
	// the parameters of prediction and explanation via
	// [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
	// [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
	// and
	// [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI, if no
	// parameters are supported, then it is set to an empty string.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	ParametersSchemaUri string `protobuf:"bytes,2,opt,name=parameters_schema_uri,json=parametersSchemaUri,proto3" json:"parameters_schema_uri,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing
	// the format of a single prediction produced by this Model, which are
	// returned via
	// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
	// [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
	// and
	// [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	PredictionSchemaUri string `protobuf:"bytes,3,opt,name=prediction_schema_uri,json=predictionSchemaUri,proto3" json:"prediction_schema_uri,omitempty"`
	// contains filtered or unexported fields
}

Contains the schemata used in Model's predictions and explanations via [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain] and BatchPredictionJob[google.cloud.aiplatform.v1.BatchPredictionJob].

func (*PredictSchemata) Descriptor 

func (*PredictSchemata) Descriptor() ([]byte, []int)

Deprecated: Use PredictSchemata.ProtoReflect.Descriptor instead.

func (*PredictSchemata) GetInstanceSchemaUri 

func (x *PredictSchemata) GetInstanceSchemaUri() string

func (*PredictSchemata) GetParametersSchemaUri 

func (x *PredictSchemata) GetParametersSchemaUri() string

func (*PredictSchemata) GetPredictionSchemaUri 

func (x *PredictSchemata) GetPredictionSchemaUri() string

func (*PredictSchemata) ProtoMessage 

func (*PredictSchemata) ProtoMessage()

func (*PredictSchemata) ProtoReflect 

func (x *PredictSchemata) ProtoReflect() protoreflect.Message

func (*PredictSchemata) Reset 

func (x *PredictSchemata) Reset()

func (*PredictSchemata) String 

func (x *PredictSchemata) String() string

type PredictionServiceClient 

type PredictionServiceClient interface {
	// Perform an online prediction.
	Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error)
	// Perform an online prediction with an arbitrary HTTP payload.
	//
	// The response includes the following HTTP headers:
	//
	// * `X-Vertex-AI-Endpoint-Id`: ID of the
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
	// prediction.
	//
	// * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
	// prediction.
	RawPredict(ctx context.Context, in *RawPredictRequest, opts ...grpc.CallOption) (*httpbody.HttpBody, error)
	// Perform a streaming online prediction with an arbitrary HTTP payload.
	StreamRawPredict(ctx context.Context, in *StreamRawPredictRequest, opts ...grpc.CallOption) (PredictionService_StreamRawPredictClient, error)
	// Perform an unary online prediction request to a gRPC model server for
	// Vertex first-party products and frameworks.
	DirectPredict(ctx context.Context, in *DirectPredictRequest, opts ...grpc.CallOption) (*DirectPredictResponse, error)
	// Perform an unary online prediction request to a gRPC model server for
	// custom containers.
	DirectRawPredict(ctx context.Context, in *DirectRawPredictRequest, opts ...grpc.CallOption) (*DirectRawPredictResponse, error)
	// Perform a streaming online prediction request to a gRPC model server for
	// Vertex first-party products and frameworks.
	StreamDirectPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamDirectPredictClient, error)
	// Perform a streaming online prediction request to a gRPC model server for
	// custom containers.
	StreamDirectRawPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamDirectRawPredictClient, error)
	// Perform a streaming online prediction request for Vertex first-party
	// products and frameworks.
	StreamingPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamingPredictClient, error)
	// Perform a server-side streaming online prediction request for Vertex
	// LLM streaming.
	ServerStreamingPredict(ctx context.Context, in *StreamingPredictRequest, opts ...grpc.CallOption) (PredictionService_ServerStreamingPredictClient, error)
	// Perform a streaming online prediction request through gRPC.
	StreamingRawPredict(ctx context.Context, opts ...grpc.CallOption) (PredictionService_StreamingRawPredictClient, error)
	// Perform an online explanation.
	//
	// If
	// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
	// is specified, the corresponding DeployModel must have
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// populated. If
	// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
	// is not specified, all DeployedModels must have
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// populated.
	Explain(ctx context.Context, in *ExplainRequest, opts ...grpc.CallOption) (*ExplainResponse, error)
	// Generate content with multimodal inputs.
	GenerateContent(ctx context.Context, in *GenerateContentRequest, opts ...grpc.CallOption) (*GenerateContentResponse, error)
	// Generate content with multimodal inputs with streaming support.
	StreamGenerateContent(ctx context.Context, in *GenerateContentRequest, opts ...grpc.CallOption) (PredictionService_StreamGenerateContentClient, error)
}

PredictionServiceClient is the client API for PredictionService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewPredictionServiceClient 

func NewPredictionServiceClient(cc grpc.ClientConnInterface) PredictionServiceClient

type PredictionServiceServer 

type PredictionServiceServer interface {
	// Perform an online prediction.
	Predict(context.Context, *PredictRequest) (*PredictResponse, error)
	// Perform an online prediction with an arbitrary HTTP payload.
	//
	// The response includes the following HTTP headers:
	//
	// * `X-Vertex-AI-Endpoint-Id`: ID of the
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
	// prediction.
	//
	// * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
	// prediction.
	RawPredict(context.Context, *RawPredictRequest) (*httpbody.HttpBody, error)
	// Perform a streaming online prediction with an arbitrary HTTP payload.
	StreamRawPredict(*StreamRawPredictRequest, PredictionService_StreamRawPredictServer) error
	// Perform an unary online prediction request to a gRPC model server for
	// Vertex first-party products and frameworks.
	DirectPredict(context.Context, *DirectPredictRequest) (*DirectPredictResponse, error)
	// Perform an unary online prediction request to a gRPC model server for
	// custom containers.
	DirectRawPredict(context.Context, *DirectRawPredictRequest) (*DirectRawPredictResponse, error)
	// Perform a streaming online prediction request to a gRPC model server for
	// Vertex first-party products and frameworks.
	StreamDirectPredict(PredictionService_StreamDirectPredictServer) error
	// Perform a streaming online prediction request to a gRPC model server for
	// custom containers.
	StreamDirectRawPredict(PredictionService_StreamDirectRawPredictServer) error
	// Perform a streaming online prediction request for Vertex first-party
	// products and frameworks.
	StreamingPredict(PredictionService_StreamingPredictServer) error
	// Perform a server-side streaming online prediction request for Vertex
	// LLM streaming.
	ServerStreamingPredict(*StreamingPredictRequest, PredictionService_ServerStreamingPredictServer) error
	// Perform a streaming online prediction request through gRPC.
	StreamingRawPredict(PredictionService_StreamingRawPredictServer) error
	// Perform an online explanation.
	//
	// If
	// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
	// is specified, the corresponding DeployModel must have
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// populated. If
	// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
	// is not specified, all DeployedModels must have
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// populated.
	Explain(context.Context, *ExplainRequest) (*ExplainResponse, error)
	// Generate content with multimodal inputs.
	GenerateContent(context.Context, *GenerateContentRequest) (*GenerateContentResponse, error)
	// Generate content with multimodal inputs with streaming support.
	StreamGenerateContent(*GenerateContentRequest, PredictionService_StreamGenerateContentServer) error
}

PredictionServiceServer is the server API for PredictionService service.

type PredictionService_ServerStreamingPredictClient 

type PredictionService_ServerStreamingPredictClient interface {
	Recv() (*StreamingPredictResponse, error)
	grpc.ClientStream
}

type PredictionService_ServerStreamingPredictServer 

type PredictionService_ServerStreamingPredictServer interface {
	Send(*StreamingPredictResponse) error
	grpc.ServerStream
}

type PredictionService_StreamDirectPredictClient 

type PredictionService_StreamDirectPredictClient interface {
	Send(*StreamDirectPredictRequest) error
	Recv() (*StreamDirectPredictResponse, error)
	grpc.ClientStream
}

type PredictionService_StreamDirectPredictServer 

type PredictionService_StreamDirectPredictServer interface {
	Send(*StreamDirectPredictResponse) error
	Recv() (*StreamDirectPredictRequest, error)
	grpc.ServerStream
}

type PredictionService_StreamDirectRawPredictClient 

type PredictionService_StreamDirectRawPredictClient interface {
	Send(*StreamDirectRawPredictRequest) error
	Recv() (*StreamDirectRawPredictResponse, error)
	grpc.ClientStream
}

type PredictionService_StreamDirectRawPredictServer 

type PredictionService_StreamDirectRawPredictServer interface {
	Send(*StreamDirectRawPredictResponse) error
	Recv() (*StreamDirectRawPredictRequest, error)
	grpc.ServerStream
}

type PredictionService_StreamGenerateContentClient 

type PredictionService_StreamGenerateContentClient interface {
	Recv() (*GenerateContentResponse, error)
	grpc.ClientStream
}

type PredictionService_StreamGenerateContentServer 

type PredictionService_StreamGenerateContentServer interface {
	Send(*GenerateContentResponse) error
	grpc.ServerStream
}

type PredictionService_StreamRawPredictClient 

type PredictionService_StreamRawPredictClient interface {
	Recv() (*httpbody.HttpBody, error)
	grpc.ClientStream
}

type PredictionService_StreamRawPredictServer 

type PredictionService_StreamRawPredictServer interface {
	Send(*httpbody.HttpBody) error
	grpc.ServerStream
}

type PredictionService_StreamingPredictClient 

type PredictionService_StreamingPredictClient interface {
	Send(*StreamingPredictRequest) error
	Recv() (*StreamingPredictResponse, error)
	grpc.ClientStream
}

type PredictionService_StreamingPredictServer 

type PredictionService_StreamingPredictServer interface {
	Send(*StreamingPredictResponse) error
	Recv() (*StreamingPredictRequest, error)
	grpc.ServerStream
}

type PredictionService_StreamingRawPredictClient 

type PredictionService_StreamingRawPredictClient interface {
	Send(*StreamingRawPredictRequest) error
	Recv() (*StreamingRawPredictResponse, error)
	grpc.ClientStream
}

type PredictionService_StreamingRawPredictServer 

type PredictionService_StreamingRawPredictServer interface {
	Send(*StreamingRawPredictResponse) error
	Recv() (*StreamingRawPredictRequest, error)
	grpc.ServerStream
}

type Presets 

type Presets struct {

	// Preset option controlling parameters for speed-precision trade-off when
	// querying for examples. If omitted, defaults to `PRECISE`.
	Query *Presets_Query `protobuf:"varint,1,opt,name=query,proto3,enum=google.cloud.aiplatform.v1.Presets_Query,oneof" json:"query,omitempty"`
	// The modality of the uploaded model, which automatically configures the
	// distance measurement and feature normalization for the underlying example
	// index and queries. If your model does not precisely fit one of these types,
	// it is okay to choose the closest type.
	Modality Presets_Modality `protobuf:"varint,2,opt,name=modality,proto3,enum=google.cloud.aiplatform.v1.Presets_Modality" json:"modality,omitempty"`
	// contains filtered or unexported fields
}

Preset configuration for example-based explanations

func (*Presets) Descriptor 

func (*Presets) Descriptor() ([]byte, []int)

Deprecated: Use Presets.ProtoReflect.Descriptor instead.

func (*Presets) GetModality 

func (x *Presets) GetModality() Presets_Modality

func (*Presets) GetQuery 

func (x *Presets) GetQuery() Presets_Query

func (*Presets) ProtoMessage 

func (*Presets) ProtoMessage()

func (*Presets) ProtoReflect 

func (x *Presets) ProtoReflect() protoreflect.Message

func (*Presets) Reset 

func (x *Presets) Reset()

func (*Presets) String 

func (x *Presets) String() string

type Presets_Modality 

type Presets_Modality int32

Preset option controlling parameters for different modalities 

const (
	// Should not be set. Added as a recommended best practice for enums
	Presets_MODALITY_UNSPECIFIED Presets_Modality = 0
	// IMAGE modality
	Presets_IMAGE Presets_Modality = 1
	// TEXT modality
	Presets_TEXT Presets_Modality = 2
	// TABULAR modality
	Presets_TABULAR Presets_Modality = 3
)

func (Presets_Modality) Descriptor 

func (Presets_Modality) Descriptor() protoreflect.EnumDescriptor

func (Presets_Modality) Enum 

func (x Presets_Modality) Enum() *Presets_Modality

func (Presets_Modality) EnumDescriptor 

func (Presets_Modality) EnumDescriptor() ([]byte, []int)

Deprecated: Use Presets_Modality.Descriptor instead.

func (Presets_Modality) Number 

func (x Presets_Modality) Number() protoreflect.EnumNumber

func (Presets_Modality) String 

func (x Presets_Modality) String() string

func (Presets_Modality) Type 

func (Presets_Modality) Type() protoreflect.EnumType

type Presets_Query 

type Presets_Query int32

Preset option controlling parameters for query speed-precision trade-off 

const (
	// More precise neighbors as a trade-off against slower response.
	Presets_PRECISE Presets_Query = 0
	// Faster response as a trade-off against less precise neighbors.
	Presets_FAST Presets_Query = 1
)

func (Presets_Query) Descriptor 

func (Presets_Query) Descriptor() protoreflect.EnumDescriptor

func (Presets_Query) Enum 

func (x Presets_Query) Enum() *Presets_Query

func (Presets_Query) EnumDescriptor 

func (Presets_Query) EnumDescriptor() ([]byte, []int)

Deprecated: Use Presets_Query.Descriptor instead.

func (Presets_Query) Number 

func (x Presets_Query) Number() protoreflect.EnumNumber

func (Presets_Query) String 

func (x Presets_Query) String() string

func (Presets_Query) Type 

func (Presets_Query) Type() protoreflect.EnumType

type PrivateEndpoints 

type PrivateEndpoints struct {

	// Output only. Http(s) path to send prediction requests.
	PredictHttpUri string `protobuf:"bytes,1,opt,name=predict_http_uri,json=predictHttpUri,proto3" json:"predict_http_uri,omitempty"`
	// Output only. Http(s) path to send explain requests.
	ExplainHttpUri string `protobuf:"bytes,2,opt,name=explain_http_uri,json=explainHttpUri,proto3" json:"explain_http_uri,omitempty"`
	// Output only. Http(s) path to send health check requests.
	HealthHttpUri string `protobuf:"bytes,3,opt,name=health_http_uri,json=healthHttpUri,proto3" json:"health_http_uri,omitempty"`
	// Output only. The name of the service attachment resource. Populated if
	// private service connect is enabled.
	ServiceAttachment string `protobuf:"bytes,4,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"`
	// contains filtered or unexported fields
}

PrivateEndpoints proto is used to provide paths for users to send requests privately. To send request via private service access, use predict_http_uri, explain_http_uri or health_http_uri. To send request via private service connect, use service_attachment.

func (*PrivateEndpoints) Descriptor 

func (*PrivateEndpoints) Descriptor() ([]byte, []int)

Deprecated: Use PrivateEndpoints.ProtoReflect.Descriptor instead.

func (*PrivateEndpoints) GetExplainHttpUri 

func (x *PrivateEndpoints) GetExplainHttpUri() string

func (*PrivateEndpoints) GetHealthHttpUri 

func (x *PrivateEndpoints) GetHealthHttpUri() string

func (*PrivateEndpoints) GetPredictHttpUri 

func (x *PrivateEndpoints) GetPredictHttpUri() string

func (*PrivateEndpoints) GetServiceAttachment 

func (x *PrivateEndpoints) GetServiceAttachment() string

func (*PrivateEndpoints) ProtoMessage 

func (*PrivateEndpoints) ProtoMessage()

func (*PrivateEndpoints) ProtoReflect 

func (x *PrivateEndpoints) ProtoReflect() protoreflect.Message

func (*PrivateEndpoints) Reset 

func (x *PrivateEndpoints) Reset()

func (*PrivateEndpoints) String 

func (x *PrivateEndpoints) String() string

type PrivateServiceConnectConfig 

type PrivateServiceConnectConfig struct {

	// Required. If true, expose the IndexEndpoint via private service connect.
	EnablePrivateServiceConnect bool `protobuf:"varint,1,opt,name=enable_private_service_connect,json=enablePrivateServiceConnect,proto3" json:"enable_private_service_connect,omitempty"`
	// A list of Projects from which the forwarding rule will target the service
	// attachment.
	ProjectAllowlist []string `protobuf:"bytes,2,rep,name=project_allowlist,json=projectAllowlist,proto3" json:"project_allowlist,omitempty"`
	// Output only. The name of the generated service attachment resource.
	// This is only populated if the endpoint is deployed with
	// PrivateServiceConnect.
	ServiceAttachment string `protobuf:"bytes,5,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"`
	// contains filtered or unexported fields
}

Represents configuration for private service connect.

func (*PrivateServiceConnectConfig) Descriptor 

func (*PrivateServiceConnectConfig) Descriptor() ([]byte, []int)

Deprecated: Use PrivateServiceConnectConfig.ProtoReflect.Descriptor instead.

func (*PrivateServiceConnectConfig) GetEnablePrivateServiceConnect 

func (x *PrivateServiceConnectConfig) GetEnablePrivateServiceConnect() bool

func (*PrivateServiceConnectConfig) GetProjectAllowlist 

func (x *PrivateServiceConnectConfig) GetProjectAllowlist() []string

func (*PrivateServiceConnectConfig) GetServiceAttachment 

func (x *PrivateServiceConnectConfig) GetServiceAttachment() string

func (*PrivateServiceConnectConfig) ProtoMessage 

func (*PrivateServiceConnectConfig) ProtoMessage()

func (*PrivateServiceConnectConfig) ProtoReflect 

func (x *PrivateServiceConnectConfig) ProtoReflect() protoreflect.Message

func (*PrivateServiceConnectConfig) Reset 

func (x *PrivateServiceConnectConfig) Reset()

func (*PrivateServiceConnectConfig) String 

func (x *PrivateServiceConnectConfig) String() string

type Probe 

type Probe struct {

	// Types that are assignable to ProbeType:
	//
	//	*Probe_Exec
	//	*Probe_HttpGet
	//	*Probe_Grpc
	//	*Probe_TcpSocket
	ProbeType isProbe_ProbeType `protobuf_oneof:"probe_type"`
	// How often (in seconds) to perform the probe. Default to 10 seconds.
	// Minimum value is 1. Must be less than timeout_seconds.
	//
	// Maps to Kubernetes probe argument 'periodSeconds'.
	PeriodSeconds int32 `protobuf:"varint,2,opt,name=period_seconds,json=periodSeconds,proto3" json:"period_seconds,omitempty"`
	// Number of seconds after which the probe times out. Defaults to 1 second.
	// Minimum value is 1. Must be greater or equal to period_seconds.
	//
	// Maps to Kubernetes probe argument 'timeoutSeconds'.
	TimeoutSeconds int32 `protobuf:"varint,3,opt,name=timeout_seconds,json=timeoutSeconds,proto3" json:"timeout_seconds,omitempty"`
	// Number of consecutive failures before the probe is considered failed.
	// Defaults to 3. Minimum value is 1.
	//
	// Maps to Kubernetes probe argument 'failureThreshold'.
	FailureThreshold int32 `protobuf:"varint,7,opt,name=failure_threshold,json=failureThreshold,proto3" json:"failure_threshold,omitempty"`
	// Number of consecutive successes before the probe is considered successful.
	// Defaults to 1. Minimum value is 1.
	//
	// Maps to Kubernetes probe argument 'successThreshold'.
	SuccessThreshold int32 `protobuf:"varint,8,opt,name=success_threshold,json=successThreshold,proto3" json:"success_threshold,omitempty"`
	// Number of seconds to wait before starting the probe. Defaults to 0.
	// Minimum value is 0.
	//
	// Maps to Kubernetes probe argument 'initialDelaySeconds'.
	InitialDelaySeconds int32 `protobuf:"varint,9,opt,name=initial_delay_seconds,json=initialDelaySeconds,proto3" json:"initial_delay_seconds,omitempty"`
	// contains filtered or unexported fields
}

Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic.

func (*Probe) Descriptor 

func (*Probe) Descriptor() ([]byte, []int)

Deprecated: Use Probe.ProtoReflect.Descriptor instead.

func (*Probe) GetExec 

func (x *Probe) GetExec() *Probe_ExecAction

func (*Probe) GetFailureThreshold 

func (x *Probe) GetFailureThreshold() int32

func (*Probe) GetGrpc 

func (x *Probe) GetGrpc() *Probe_GrpcAction

func (*Probe) GetHttpGet 

func (x *Probe) GetHttpGet() *Probe_HttpGetAction

func (*Probe) GetInitialDelaySeconds 

func (x *Probe) GetInitialDelaySeconds() int32

func (*Probe) GetPeriodSeconds 

func (x *Probe) GetPeriodSeconds() int32

func (*Probe) GetProbeType 

func (m *Probe) GetProbeType() isProbe_ProbeType

func (*Probe) GetSuccessThreshold 

func (x *Probe) GetSuccessThreshold() int32

func (*Probe) GetTcpSocket 

func (x *Probe) GetTcpSocket() *Probe_TcpSocketAction

func (*Probe) GetTimeoutSeconds 

func (x *Probe) GetTimeoutSeconds() int32

func (*Probe) ProtoMessage 

func (*Probe) ProtoMessage()

func (*Probe) ProtoReflect 

func (x *Probe) ProtoReflect() protoreflect.Message

func (*Probe) Reset 

func (x *Probe) Reset()

func (*Probe) String 

func (x *Probe) String() string

type Probe_Exec 

type Probe_Exec struct {
	// ExecAction probes the health of a container by executing a command.
	Exec *Probe_ExecAction `protobuf:"bytes,1,opt,name=exec,proto3,oneof"`
}

type Probe_ExecAction 

type Probe_ExecAction struct {

	// Command is the command line to execute inside the container, the working
	// directory for the command is root ('/') in the container's filesystem.
	// The command is simply exec'd, it is not run inside a shell, so
	// traditional shell instructions ('|', etc) won't work. To use a shell, you
	// need to explicitly call out to that shell. Exit status of 0 is treated as
	// live/healthy and non-zero is unhealthy.
	Command []string `protobuf:"bytes,1,rep,name=command,proto3" json:"command,omitempty"`
	// contains filtered or unexported fields
}

ExecAction specifies a command to execute.

func (*Probe_ExecAction) Descriptor 

func (*Probe_ExecAction) Descriptor() ([]byte, []int)

Deprecated: Use Probe_ExecAction.ProtoReflect.Descriptor instead.

func (*Probe_ExecAction) GetCommand 

func (x *Probe_ExecAction) GetCommand() []string

func (*Probe_ExecAction) ProtoMessage 

func (*Probe_ExecAction) ProtoMessage()

func (*Probe_ExecAction) ProtoReflect 

func (x *Probe_ExecAction) ProtoReflect() protoreflect.Message

func (*Probe_ExecAction) Reset 

func (x *Probe_ExecAction) Reset()

func (*Probe_ExecAction) String 

func (x *Probe_ExecAction) String() string

type Probe_Grpc 

type Probe_Grpc struct {
	// GrpcAction probes the health of a container by sending a gRPC request.
	Grpc *Probe_GrpcAction `protobuf:"bytes,5,opt,name=grpc,proto3,oneof"`
}

type Probe_GrpcAction 

type Probe_GrpcAction struct {

	// Port number of the gRPC service. Number must be in the range 1 to 65535.
	Port int32 `protobuf:"varint,1,opt,name=port,proto3" json:"port,omitempty"`
	// Service is the name of the service to place in the gRPC
	// HealthCheckRequest (see
	// https://github.com/grpc/grpc/blob/master/doc/health-checking.md).
	//
	// If this is not specified, the default behavior is defined by gRPC.
	Service string `protobuf:"bytes,2,opt,name=service,proto3" json:"service,omitempty"`
	// contains filtered or unexported fields
}

GrpcAction checks the health of a container using a gRPC service.

func (*Probe_GrpcAction) Descriptor 

func (*Probe_GrpcAction) Descriptor() ([]byte, []int)

Deprecated: Use Probe_GrpcAction.ProtoReflect.Descriptor instead.

func (*Probe_GrpcAction) GetPort 

func (x *Probe_GrpcAction) GetPort() int32

func (*Probe_GrpcAction) GetService 

func (x *Probe_GrpcAction) GetService() string

func (*Probe_GrpcAction) ProtoMessage 

func (*Probe_GrpcAction) ProtoMessage()

func (*Probe_GrpcAction) ProtoReflect 

func (x *Probe_GrpcAction) ProtoReflect() protoreflect.Message

func (*Probe_GrpcAction) Reset 

func (x *Probe_GrpcAction) Reset()

func (*Probe_GrpcAction) String 

func (x *Probe_GrpcAction) String() string

type Probe_HttpGet 

type Probe_HttpGet struct {
	// HttpGetAction probes the health of a container by sending an HTTP GET
	// request.
	HttpGet *Probe_HttpGetAction `protobuf:"bytes,4,opt,name=http_get,json=httpGet,proto3,oneof"`
}

type Probe_HttpGetAction 

type Probe_HttpGetAction struct {

	// Path to access on the HTTP server.
	Path string `protobuf:"bytes,1,opt,name=path,proto3" json:"path,omitempty"`
	// Number of the port to access on the container.
	// Number must be in the range 1 to 65535.
	Port int32 `protobuf:"varint,2,opt,name=port,proto3" json:"port,omitempty"`
	// Host name to connect to, defaults to the model serving container's IP.
	// You probably want to set "Host" in httpHeaders instead.
	Host string `protobuf:"bytes,3,opt,name=host,proto3" json:"host,omitempty"`
	// Scheme to use for connecting to the host.
	// Defaults to HTTP. Acceptable values are "HTTP" or "HTTPS".
	Scheme string `protobuf:"bytes,4,opt,name=scheme,proto3" json:"scheme,omitempty"`
	// Custom headers to set in the request. HTTP allows repeated headers.
	HttpHeaders []*Probe_HttpHeader `protobuf:"bytes,5,rep,name=http_headers,json=httpHeaders,proto3" json:"http_headers,omitempty"`
	// contains filtered or unexported fields
}

HttpGetAction describes an action based on HTTP Get requests.

func (*Probe_HttpGetAction) Descriptor 

func (*Probe_HttpGetAction) Descriptor() ([]byte, []int)

Deprecated: Use Probe_HttpGetAction.ProtoReflect.Descriptor instead.

func (*Probe_HttpGetAction) GetHost 

func (x *Probe_HttpGetAction) GetHost() string

func (*Probe_HttpGetAction) GetHttpHeaders 

func (x *Probe_HttpGetAction) GetHttpHeaders() []*Probe_HttpHeader

func (*Probe_HttpGetAction) GetPath 

func (x *Probe_HttpGetAction) GetPath() string

func (*Probe_HttpGetAction) GetPort 

func (x *Probe_HttpGetAction) GetPort() int32

func (*Probe_HttpGetAction) GetScheme 

func (x *Probe_HttpGetAction) GetScheme() string

func (*Probe_HttpGetAction) ProtoMessage 

func (*Probe_HttpGetAction) ProtoMessage()

func (*Probe_HttpGetAction) ProtoReflect 

func (x *Probe_HttpGetAction) ProtoReflect() protoreflect.Message

func (*Probe_HttpGetAction) Reset 

func (x *Probe_HttpGetAction) Reset()

func (*Probe_HttpGetAction) String 

func (x *Probe_HttpGetAction) String() string

type Probe_HttpHeader 

type Probe_HttpHeader struct {

	// The header field name.
	// This will be canonicalized upon output, so case-variant names will be
	// understood as the same header.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The header field value
	Value string `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

HttpHeader describes a custom header to be used in HTTP probes

func (*Probe_HttpHeader) Descriptor 

func (*Probe_HttpHeader) Descriptor() ([]byte, []int)

Deprecated: Use Probe_HttpHeader.ProtoReflect.Descriptor instead.

func (*Probe_HttpHeader) GetName 

func (x *Probe_HttpHeader) GetName() string

func (*Probe_HttpHeader) GetValue 

func (x *Probe_HttpHeader) GetValue() string

func (*Probe_HttpHeader) ProtoMessage 

func (*Probe_HttpHeader) ProtoMessage()

func (*Probe_HttpHeader) ProtoReflect 

func (x *Probe_HttpHeader) ProtoReflect() protoreflect.Message

func (*Probe_HttpHeader) Reset 

func (x *Probe_HttpHeader) Reset()

func (*Probe_HttpHeader) String 

func (x *Probe_HttpHeader) String() string

type Probe_TcpSocket 

type Probe_TcpSocket struct {
	// TcpSocketAction probes the health of a container by opening a TCP socket
	// connection.
	TcpSocket *Probe_TcpSocketAction `protobuf:"bytes,6,opt,name=tcp_socket,json=tcpSocket,proto3,oneof"`
}

type Probe_TcpSocketAction 

type Probe_TcpSocketAction struct {

	// Number of the port to access on the container.
	// Number must be in the range 1 to 65535.
	Port int32 `protobuf:"varint,1,opt,name=port,proto3" json:"port,omitempty"`
	// Optional: Host name to connect to, defaults to the model serving
	// container's IP.
	Host string `protobuf:"bytes,2,opt,name=host,proto3" json:"host,omitempty"`
	// contains filtered or unexported fields
}

TcpSocketAction probes the health of a container by opening a TCP socket connection.

func (*Probe_TcpSocketAction) Descriptor 

func (*Probe_TcpSocketAction) Descriptor() ([]byte, []int)

Deprecated: Use Probe_TcpSocketAction.ProtoReflect.Descriptor instead.

func (*Probe_TcpSocketAction) GetHost 

func (x *Probe_TcpSocketAction) GetHost() string

func (*Probe_TcpSocketAction) GetPort 

func (x *Probe_TcpSocketAction) GetPort() int32

func (*Probe_TcpSocketAction) ProtoMessage 

func (*Probe_TcpSocketAction) ProtoMessage()

func (*Probe_TcpSocketAction) ProtoReflect 

func (x *Probe_TcpSocketAction) ProtoReflect() protoreflect.Message

func (*Probe_TcpSocketAction) Reset 

func (x *Probe_TcpSocketAction) Reset()

func (*Probe_TcpSocketAction) String 

func (x *Probe_TcpSocketAction) String() string

type PscAutomatedEndpoints 

type PscAutomatedEndpoints struct {

	// Corresponding project_id in pscAutomationConfigs
	ProjectId string `protobuf:"bytes,1,opt,name=project_id,json=projectId,proto3" json:"project_id,omitempty"`
	// Corresponding network in pscAutomationConfigs.
	Network string `protobuf:"bytes,2,opt,name=network,proto3" json:"network,omitempty"`
	// Ip Address created by the automated forwarding rule.
	MatchAddress string `protobuf:"bytes,3,opt,name=match_address,json=matchAddress,proto3" json:"match_address,omitempty"`
	// contains filtered or unexported fields
}

PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.

func (*PscAutomatedEndpoints) Descriptor 

func (*PscAutomatedEndpoints) Descriptor() ([]byte, []int)

Deprecated: Use PscAutomatedEndpoints.ProtoReflect.Descriptor instead.

func (*PscAutomatedEndpoints) GetMatchAddress 

func (x *PscAutomatedEndpoints) GetMatchAddress() string

func (*PscAutomatedEndpoints) GetNetwork 

func (x *PscAutomatedEndpoints) GetNetwork() string

func (*PscAutomatedEndpoints) GetProjectId 

func (x *PscAutomatedEndpoints) GetProjectId() string

func (*PscAutomatedEndpoints) ProtoMessage 

func (*PscAutomatedEndpoints) ProtoMessage()

func (*PscAutomatedEndpoints) ProtoReflect 

func (x *PscAutomatedEndpoints) ProtoReflect() protoreflect.Message

func (*PscAutomatedEndpoints) Reset 

func (x *PscAutomatedEndpoints) Reset()

func (*PscAutomatedEndpoints) String 

func (x *PscAutomatedEndpoints) String() string

type PublisherModel 

type PublisherModel struct {

	// Output only. The resource name of the PublisherModel.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Immutable. The version ID of the PublisherModel.
	// A new version is committed when a new model version is uploaded under an
	// existing model id. It is an auto-incrementing decimal number in string
	// representation.
	VersionId string `protobuf:"bytes,2,opt,name=version_id,json=versionId,proto3" json:"version_id,omitempty"`
	// Required. Indicates the open source category of the publisher model.
	OpenSourceCategory PublisherModel_OpenSourceCategory `protobuf:"varint,7,opt,name=open_source_category,json=openSourceCategory,proto3,enum=google.cloud.aiplatform.v1.PublisherModel_OpenSourceCategory" json:"open_source_category,omitempty"`
	// Optional. Supported call-to-action options.
	SupportedActions *PublisherModel_CallToAction `protobuf:"bytes,19,opt,name=supported_actions,json=supportedActions,proto3" json:"supported_actions,omitempty"`
	// Optional. Additional information about the model's Frameworks.
	Frameworks []string `protobuf:"bytes,23,rep,name=frameworks,proto3" json:"frameworks,omitempty"`
	// Optional. Indicates the launch stage of the model.
	LaunchStage PublisherModel_LaunchStage `protobuf:"varint,29,opt,name=launch_stage,json=launchStage,proto3,enum=google.cloud.aiplatform.v1.PublisherModel_LaunchStage" json:"launch_stage,omitempty"`
	// Optional. Indicates the state of the model version.
	VersionState PublisherModel_VersionState `protobuf:"varint,37,opt,name=version_state,json=versionState,proto3,enum=google.cloud.aiplatform.v1.PublisherModel_VersionState" json:"version_state,omitempty"`
	// Optional. Output only. Immutable. Used to indicate this model has a
	// publisher model and provide the template of the publisher model resource
	// name.
	PublisherModelTemplate string `protobuf:"bytes,30,opt,name=publisher_model_template,json=publisherModelTemplate,proto3" json:"publisher_model_template,omitempty"`
	// Optional. The schemata that describes formats of the PublisherModel's
	// predictions and explanations as given and returned via
	// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
	PredictSchemata *PredictSchemata `protobuf:"bytes,31,opt,name=predict_schemata,json=predictSchemata,proto3" json:"predict_schemata,omitempty"`
	// contains filtered or unexported fields
}

A Model Garden Publisher Model.

func (*PublisherModel) Descriptor 

func (*PublisherModel) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel.ProtoReflect.Descriptor instead.

func (*PublisherModel) GetFrameworks 

func (x *PublisherModel) GetFrameworks() []string

func (*PublisherModel) GetLaunchStage 

func (x *PublisherModel) GetLaunchStage() PublisherModel_LaunchStage

func (*PublisherModel) GetName 

func (x *PublisherModel) GetName() string

func (*PublisherModel) GetOpenSourceCategory 

func (x *PublisherModel) GetOpenSourceCategory() PublisherModel_OpenSourceCategory

func (*PublisherModel) GetPredictSchemata 

func (x *PublisherModel) GetPredictSchemata() *PredictSchemata

func (*PublisherModel) GetPublisherModelTemplate 

func (x *PublisherModel) GetPublisherModelTemplate() string

func (*PublisherModel) GetSupportedActions 

func (x *PublisherModel) GetSupportedActions() *PublisherModel_CallToAction

func (*PublisherModel) GetVersionId 

func (x *PublisherModel) GetVersionId() string

func (*PublisherModel) GetVersionState 

func (x *PublisherModel) GetVersionState() PublisherModel_VersionState

func (*PublisherModel) ProtoMessage 

func (*PublisherModel) ProtoMessage()

func (*PublisherModel) ProtoReflect 

func (x *PublisherModel) ProtoReflect() protoreflect.Message

func (*PublisherModel) Reset 

func (x *PublisherModel) Reset()

func (*PublisherModel) String 

func (x *PublisherModel) String() string

type PublisherModelView 

type PublisherModelView int32

View enumeration of PublisherModel. 

const (
	// The default / unset value. The API will default to the BASIC view.
	PublisherModelView_PUBLISHER_MODEL_VIEW_UNSPECIFIED PublisherModelView = 0
	// Include basic metadata about the publisher model, but not the full
	// contents.
	PublisherModelView_PUBLISHER_MODEL_VIEW_BASIC PublisherModelView = 1
	// Include everything.
	PublisherModelView_PUBLISHER_MODEL_VIEW_FULL PublisherModelView = 2
	// Include: VersionId, ModelVersionExternalName, and SupportedActions.
	PublisherModelView_PUBLISHER_MODEL_VERSION_VIEW_BASIC PublisherModelView = 3
)

func (PublisherModelView) Descriptor 

func (PublisherModelView) Descriptor() protoreflect.EnumDescriptor

func (PublisherModelView) Enum 

func (x PublisherModelView) Enum() *PublisherModelView

func (PublisherModelView) EnumDescriptor 

func (PublisherModelView) EnumDescriptor() ([]byte, []int)

Deprecated: Use PublisherModelView.Descriptor instead.

func (PublisherModelView) Number 

func (x PublisherModelView) Number() protoreflect.EnumNumber

func (PublisherModelView) String 

func (x PublisherModelView) String() string

func (PublisherModelView) Type 

func (PublisherModelView) Type() protoreflect.EnumType

type PublisherModel_CallToAction 

type PublisherModel_CallToAction struct {

	// Optional. To view Rest API docs.
	ViewRestApi *PublisherModel_CallToAction_ViewRestApi `protobuf:"bytes,1,opt,name=view_rest_api,json=viewRestApi,proto3" json:"view_rest_api,omitempty"`
	// Optional. Open notebook of the PublisherModel.
	OpenNotebook *PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,2,opt,name=open_notebook,json=openNotebook,proto3" json:"open_notebook,omitempty"`
	// Optional. Open notebooks of the PublisherModel.
	OpenNotebooks *PublisherModel_CallToAction_OpenNotebooks `protobuf:"bytes,12,opt,name=open_notebooks,json=openNotebooks,proto3,oneof" json:"open_notebooks,omitempty"`
	// Optional. Create application using the PublisherModel.
	CreateApplication *PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,3,opt,name=create_application,json=createApplication,proto3" json:"create_application,omitempty"`
	// Optional. Open fine-tuning pipeline of the PublisherModel.
	OpenFineTuningPipeline *PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,4,opt,name=open_fine_tuning_pipeline,json=openFineTuningPipeline,proto3" json:"open_fine_tuning_pipeline,omitempty"`
	// Optional. Open fine-tuning pipelines of the PublisherModel.
	OpenFineTuningPipelines *PublisherModel_CallToAction_OpenFineTuningPipelines `protobuf:"bytes,13,opt,name=open_fine_tuning_pipelines,json=openFineTuningPipelines,proto3,oneof" json:"open_fine_tuning_pipelines,omitempty"`
	// Optional. Open prompt-tuning pipeline of the PublisherModel.
	OpenPromptTuningPipeline *PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,5,opt,name=open_prompt_tuning_pipeline,json=openPromptTuningPipeline,proto3" json:"open_prompt_tuning_pipeline,omitempty"`
	// Optional. Open Genie / Playground.
	OpenGenie *PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,6,opt,name=open_genie,json=openGenie,proto3" json:"open_genie,omitempty"`
	// Optional. Deploy the PublisherModel to Vertex Endpoint.
	Deploy *PublisherModel_CallToAction_Deploy `protobuf:"bytes,7,opt,name=deploy,proto3" json:"deploy,omitempty"`
	// Optional. Deploy PublisherModel to Google Kubernetes Engine.
	DeployGke *PublisherModel_CallToAction_DeployGke `protobuf:"bytes,14,opt,name=deploy_gke,json=deployGke,proto3" json:"deploy_gke,omitempty"`
	// Optional. Open in Generation AI Studio.
	OpenGenerationAiStudio *PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,8,opt,name=open_generation_ai_studio,json=openGenerationAiStudio,proto3" json:"open_generation_ai_studio,omitempty"`
	// Optional. Request for access.
	RequestAccess *PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,9,opt,name=request_access,json=requestAccess,proto3" json:"request_access,omitempty"`
	// Optional. Open evaluation pipeline of the PublisherModel.
	OpenEvaluationPipeline *PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,11,opt,name=open_evaluation_pipeline,json=openEvaluationPipeline,proto3" json:"open_evaluation_pipeline,omitempty"`
	// contains filtered or unexported fields
}

Actions could take on this Publisher Model.

func (*PublisherModel_CallToAction) Descriptor 

func (*PublisherModel_CallToAction) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_CallToAction.ProtoReflect.Descriptor instead.

func (*PublisherModel_CallToAction) GetCreateApplication 

func (x *PublisherModel_CallToAction) GetCreateApplication() *PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction) GetDeploy 

func (x *PublisherModel_CallToAction) GetDeploy() *PublisherModel_CallToAction_Deploy

func (*PublisherModel_CallToAction) GetDeployGke 

func (x *PublisherModel_CallToAction) GetDeployGke() *PublisherModel_CallToAction_DeployGke

func (*PublisherModel_CallToAction) GetOpenEvaluationPipeline 

func (x *PublisherModel_CallToAction) GetOpenEvaluationPipeline() *PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction) GetOpenFineTuningPipeline 

func (x *PublisherModel_CallToAction) GetOpenFineTuningPipeline() *PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction) GetOpenFineTuningPipelines 

func (x *PublisherModel_CallToAction) GetOpenFineTuningPipelines() *PublisherModel_CallToAction_OpenFineTuningPipelines

func (*PublisherModel_CallToAction) GetOpenGenerationAiStudio 

func (x *PublisherModel_CallToAction) GetOpenGenerationAiStudio() *PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction) GetOpenGenie 

func (x *PublisherModel_CallToAction) GetOpenGenie() *PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction) GetOpenNotebook 

func (x *PublisherModel_CallToAction) GetOpenNotebook() *PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction) GetOpenNotebooks 

func (x *PublisherModel_CallToAction) GetOpenNotebooks() *PublisherModel_CallToAction_OpenNotebooks

func (*PublisherModel_CallToAction) GetOpenPromptTuningPipeline 

func (x *PublisherModel_CallToAction) GetOpenPromptTuningPipeline() *PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction) GetRequestAccess 

func (x *PublisherModel_CallToAction) GetRequestAccess() *PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction) GetViewRestApi 

func (x *PublisherModel_CallToAction) GetViewRestApi() *PublisherModel_CallToAction_ViewRestApi

func (*PublisherModel_CallToAction) ProtoMessage 

func (*PublisherModel_CallToAction) ProtoMessage()

func (*PublisherModel_CallToAction) ProtoReflect 

func (x *PublisherModel_CallToAction) ProtoReflect() protoreflect.Message

func (*PublisherModel_CallToAction) Reset 

func (x *PublisherModel_CallToAction) Reset()

func (*PublisherModel_CallToAction) String 

func (x *PublisherModel_CallToAction) String() string

type PublisherModel_CallToAction_Deploy 

type PublisherModel_CallToAction_Deploy struct {

	// The prediction (for example, the machine) resources that the
	// DeployedModel uses.
	//
	// Types that are assignable to PredictionResources:
	//
	//	*PublisherModel_CallToAction_Deploy_DedicatedResources
	//	*PublisherModel_CallToAction_Deploy_AutomaticResources
	//	*PublisherModel_CallToAction_Deploy_SharedResources
	PredictionResources isPublisherModel_CallToAction_Deploy_PredictionResources `protobuf_oneof:"prediction_resources"`
	// Optional. Default model display name.
	ModelDisplayName string `protobuf:"bytes,1,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// Optional. Large model reference. When this is set, model_artifact_spec
	// is not needed.
	LargeModelReference *LargeModelReference `protobuf:"bytes,2,opt,name=large_model_reference,json=largeModelReference,proto3" json:"large_model_reference,omitempty"`
	// Optional. The specification of the container that is to be used when
	// deploying this Model in Vertex AI. Not present for Large Models.
	ContainerSpec *ModelContainerSpec `protobuf:"bytes,3,opt,name=container_spec,json=containerSpec,proto3" json:"container_spec,omitempty"`
	// Optional. The path to the directory containing the Model artifact and
	// any of its supporting files.
	ArtifactUri string `protobuf:"bytes,4,opt,name=artifact_uri,json=artifactUri,proto3" json:"artifact_uri,omitempty"`
	// Optional. The name of the deploy task (e.g., "text to image
	// generation").
	DeployTaskName *string `protobuf:"bytes,10,opt,name=deploy_task_name,json=deployTaskName,proto3,oneof" json:"deploy_task_name,omitempty"`
	// Optional. Metadata information about this deployment config.
	DeployMetadata *PublisherModel_CallToAction_Deploy_DeployMetadata `protobuf:"bytes,11,opt,name=deploy_metadata,json=deployMetadata,proto3,oneof" json:"deploy_metadata,omitempty"`
	// Required. The title of the regional resource reference.
	Title string `protobuf:"bytes,8,opt,name=title,proto3" json:"title,omitempty"`
	// Optional. The signed URI for ephemeral Cloud Storage access to model
	// artifact.
	PublicArtifactUri string `protobuf:"bytes,9,opt,name=public_artifact_uri,json=publicArtifactUri,proto3" json:"public_artifact_uri,omitempty"`
	// contains filtered or unexported fields
}

Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.

func (*PublisherModel_CallToAction_Deploy) Descriptor 

func (*PublisherModel_CallToAction_Deploy) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_CallToAction_Deploy.ProtoReflect.Descriptor instead.

func (*PublisherModel_CallToAction_Deploy) GetArtifactUri 

func (x *PublisherModel_CallToAction_Deploy) GetArtifactUri() string

func (*PublisherModel_CallToAction_Deploy) GetAutomaticResources 

func (x *PublisherModel_CallToAction_Deploy) GetAutomaticResources() *AutomaticResources

func (*PublisherModel_CallToAction_Deploy) GetContainerSpec 

func (x *PublisherModel_CallToAction_Deploy) GetContainerSpec() *ModelContainerSpec

func (*PublisherModel_CallToAction_Deploy) GetDedicatedResources 

func (x *PublisherModel_CallToAction_Deploy) GetDedicatedResources() *DedicatedResources

func (*PublisherModel_CallToAction_Deploy) GetDeployMetadata 

func (x *PublisherModel_CallToAction_Deploy) GetDeployMetadata() *PublisherModel_CallToAction_Deploy_DeployMetadata

func (*PublisherModel_CallToAction_Deploy) GetDeployTaskName 

func (x *PublisherModel_CallToAction_Deploy) GetDeployTaskName() string

func (*PublisherModel_CallToAction_Deploy) GetLargeModelReference 

func (x *PublisherModel_CallToAction_Deploy) GetLargeModelReference() *LargeModelReference

func (*PublisherModel_CallToAction_Deploy) GetModelDisplayName 

func (x *PublisherModel_CallToAction_Deploy) GetModelDisplayName() string

func (*PublisherModel_CallToAction_Deploy) GetPredictionResources 

func (m *PublisherModel_CallToAction_Deploy) GetPredictionResources() isPublisherModel_CallToAction_Deploy_PredictionResources

func (*PublisherModel_CallToAction_Deploy) GetPublicArtifactUri 

func (x *PublisherModel_CallToAction_Deploy) GetPublicArtifactUri() string

func (*PublisherModel_CallToAction_Deploy) GetSharedResources 

func (x *PublisherModel_CallToAction_Deploy) GetSharedResources() string

func (*PublisherModel_CallToAction_Deploy) GetTitle 

func (x *PublisherModel_CallToAction_Deploy) GetTitle() string

func (*PublisherModel_CallToAction_Deploy) ProtoMessage 

func (*PublisherModel_CallToAction_Deploy) ProtoMessage()

func (*PublisherModel_CallToAction_Deploy) ProtoReflect 

func (x *PublisherModel_CallToAction_Deploy) ProtoReflect() protoreflect.Message

func (*PublisherModel_CallToAction_Deploy) Reset 

func (x *PublisherModel_CallToAction_Deploy) Reset()

func (*PublisherModel_CallToAction_Deploy) String 

func (x *PublisherModel_CallToAction_Deploy) String() string

type PublisherModel_CallToAction_DeployGke 

type PublisherModel_CallToAction_DeployGke struct {

	// Optional. GKE deployment configuration in yaml format.
	GkeYamlConfigs []string `protobuf:"bytes,1,rep,name=gke_yaml_configs,json=gkeYamlConfigs,proto3" json:"gke_yaml_configs,omitempty"`
	// contains filtered or unexported fields
}

Configurations for PublisherModel GKE deployment

func (*PublisherModel_CallToAction_DeployGke) Descriptor 

func (*PublisherModel_CallToAction_DeployGke) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_CallToAction_DeployGke.ProtoReflect.Descriptor instead.

func (*PublisherModel_CallToAction_DeployGke) GetGkeYamlConfigs 

func (x *PublisherModel_CallToAction_DeployGke) GetGkeYamlConfigs() []string

func (*PublisherModel_CallToAction_DeployGke) ProtoMessage 

func (*PublisherModel_CallToAction_DeployGke) ProtoMessage()

func (*PublisherModel_CallToAction_DeployGke) ProtoReflect 

func (x *PublisherModel_CallToAction_DeployGke) ProtoReflect() protoreflect.Message

func (*PublisherModel_CallToAction_DeployGke) Reset 

func (x *PublisherModel_CallToAction_DeployGke) Reset()

func (*PublisherModel_CallToAction_DeployGke) String 

func (x *PublisherModel_CallToAction_DeployGke) String() string

type PublisherModel_CallToAction_Deploy_AutomaticResources 

type PublisherModel_CallToAction_Deploy_AutomaticResources struct {
	// A description of resources that to large degree are decided by Vertex
	// AI, and require only a modest additional configuration.
	AutomaticResources *AutomaticResources `protobuf:"bytes,6,opt,name=automatic_resources,json=automaticResources,proto3,oneof"`
}

type PublisherModel_CallToAction_Deploy_DedicatedResources 

type PublisherModel_CallToAction_Deploy_DedicatedResources struct {
	// A description of resources that are dedicated to the DeployedModel,
	// and that need a higher degree of manual configuration.
	DedicatedResources *DedicatedResources `protobuf:"bytes,5,opt,name=dedicated_resources,json=dedicatedResources,proto3,oneof"`
}

type PublisherModel_CallToAction_Deploy_DeployMetadata 

type PublisherModel_CallToAction_Deploy_DeployMetadata struct {

	// Optional. Labels for the deployment. For managing deployment config
	// like verifying, source of deployment config, etc.
	Labels map[string]string `protobuf:"bytes,1,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Optional. Sample request for deployed endpoint.
	SampleRequest string `protobuf:"bytes,2,opt,name=sample_request,json=sampleRequest,proto3" json:"sample_request,omitempty"`
	// contains filtered or unexported fields
}

Metadata information about the deployment for managing deployment config.

func (*PublisherModel_CallToAction_Deploy_DeployMetadata) Descriptor 

func (*PublisherModel_CallToAction_Deploy_DeployMetadata) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_CallToAction_Deploy_DeployMetadata.ProtoReflect.Descriptor instead.

func (*PublisherModel_CallToAction_Deploy_DeployMetadata) GetLabels 

func (x *PublisherModel_CallToAction_Deploy_DeployMetadata) GetLabels() map[string]string

func (*PublisherModel_CallToAction_Deploy_DeployMetadata) GetSampleRequest 

func (x *PublisherModel_CallToAction_Deploy_DeployMetadata) GetSampleRequest() string

func (*PublisherModel_CallToAction_Deploy_DeployMetadata) ProtoMessage 

func (*PublisherModel_CallToAction_Deploy_DeployMetadata) ProtoMessage()

func (*PublisherModel_CallToAction_Deploy_DeployMetadata) ProtoReflect 

func (x *PublisherModel_CallToAction_Deploy_DeployMetadata) ProtoReflect() protoreflect.Message

func (*PublisherModel_CallToAction_Deploy_DeployMetadata) Reset 

func (x *PublisherModel_CallToAction_Deploy_DeployMetadata) Reset()

func (*PublisherModel_CallToAction_Deploy_DeployMetadata) String 

func (x *PublisherModel_CallToAction_Deploy_DeployMetadata) String() string

type PublisherModel_CallToAction_Deploy_SharedResources 

type PublisherModel_CallToAction_Deploy_SharedResources struct {
	// The resource name of the shared DeploymentResourcePool to deploy on.
	// Format:
	// `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
	SharedResources string `protobuf:"bytes,7,opt,name=shared_resources,json=sharedResources,proto3,oneof"`
}

type PublisherModel_CallToAction_OpenFineTuningPipelines 

type PublisherModel_CallToAction_OpenFineTuningPipelines struct {

	// Required. Regional resource references to fine tuning pipelines.
	FineTuningPipelines []*PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,1,rep,name=fine_tuning_pipelines,json=fineTuningPipelines,proto3" json:"fine_tuning_pipelines,omitempty"`
	// contains filtered or unexported fields
}

Open fine tuning pipelines.

func (*PublisherModel_CallToAction_OpenFineTuningPipelines) Descriptor 

func (*PublisherModel_CallToAction_OpenFineTuningPipelines) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_CallToAction_OpenFineTuningPipelines.ProtoReflect.Descriptor instead.

func (*PublisherModel_CallToAction_OpenFineTuningPipelines) GetFineTuningPipelines 

func (x *PublisherModel_CallToAction_OpenFineTuningPipelines) GetFineTuningPipelines() []*PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction_OpenFineTuningPipelines) ProtoMessage 

func (*PublisherModel_CallToAction_OpenFineTuningPipelines) ProtoMessage()

func (*PublisherModel_CallToAction_OpenFineTuningPipelines) ProtoReflect 

func (x *PublisherModel_CallToAction_OpenFineTuningPipelines) ProtoReflect() protoreflect.Message

func (*PublisherModel_CallToAction_OpenFineTuningPipelines) Reset 

func (x *PublisherModel_CallToAction_OpenFineTuningPipelines) Reset()

func (*PublisherModel_CallToAction_OpenFineTuningPipelines) String 

func (x *PublisherModel_CallToAction_OpenFineTuningPipelines) String() string

type PublisherModel_CallToAction_OpenNotebooks 

type PublisherModel_CallToAction_OpenNotebooks struct {

	// Required. Regional resource references to notebooks.
	Notebooks []*PublisherModel_CallToAction_RegionalResourceReferences `protobuf:"bytes,1,rep,name=notebooks,proto3" json:"notebooks,omitempty"`
	// contains filtered or unexported fields
}

Open notebooks.

func (*PublisherModel_CallToAction_OpenNotebooks) Descriptor 

func (*PublisherModel_CallToAction_OpenNotebooks) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_CallToAction_OpenNotebooks.ProtoReflect.Descriptor instead.

func (*PublisherModel_CallToAction_OpenNotebooks) GetNotebooks 

func (x *PublisherModel_CallToAction_OpenNotebooks) GetNotebooks() []*PublisherModel_CallToAction_RegionalResourceReferences

func (*PublisherModel_CallToAction_OpenNotebooks) ProtoMessage 

func (*PublisherModel_CallToAction_OpenNotebooks) ProtoMessage()

func (*PublisherModel_CallToAction_OpenNotebooks) ProtoReflect 

func (x *PublisherModel_CallToAction_OpenNotebooks) ProtoReflect() protoreflect.Message

func (*PublisherModel_CallToAction_OpenNotebooks) Reset 

func (x *PublisherModel_CallToAction_OpenNotebooks) Reset()

func (*PublisherModel_CallToAction_OpenNotebooks) String 

func (x *PublisherModel_CallToAction_OpenNotebooks) String() string

type PublisherModel_CallToAction_RegionalResourceReferences 

type PublisherModel_CallToAction_RegionalResourceReferences struct {

	// Required.
	References map[string]*PublisherModel_ResourceReference `protobuf:"bytes,1,rep,name=references,proto3" json:"references,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Required.
	Title string `protobuf:"bytes,2,opt,name=title,proto3" json:"title,omitempty"`
	// Optional. Title of the resource.
	ResourceTitle *string `protobuf:"bytes,3,opt,name=resource_title,json=resourceTitle,proto3,oneof" json:"resource_title,omitempty"`
	// Optional. Use case (CUJ) of the resource.
	ResourceUseCase *string `protobuf:"bytes,4,opt,name=resource_use_case,json=resourceUseCase,proto3,oneof" json:"resource_use_case,omitempty"`
	// Optional. Description of the resource.
	ResourceDescription *string `protobuf:"bytes,5,opt,name=resource_description,json=resourceDescription,proto3,oneof" json:"resource_description,omitempty"`
	// contains filtered or unexported fields
}

The regional resource name or the URI. Key is region, e.g., us-central1, europe-west2, global, etc..

func (*PublisherModel_CallToAction_RegionalResourceReferences) Descriptor 

func (*PublisherModel_CallToAction_RegionalResourceReferences) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_CallToAction_RegionalResourceReferences.ProtoReflect.Descriptor instead.

func (*PublisherModel_CallToAction_RegionalResourceReferences) GetReferences 

func (x *PublisherModel_CallToAction_RegionalResourceReferences) GetReferences() map[string]*PublisherModel_ResourceReference

func (*PublisherModel_CallToAction_RegionalResourceReferences) GetResourceDescription 

func (x *PublisherModel_CallToAction_RegionalResourceReferences) GetResourceDescription() string

func (*PublisherModel_CallToAction_RegionalResourceReferences) GetResourceTitle 

func (x *PublisherModel_CallToAction_RegionalResourceReferences) GetResourceTitle() string

func (*PublisherModel_CallToAction_RegionalResourceReferences) GetResourceUseCase 

func (x *PublisherModel_CallToAction_RegionalResourceReferences) GetResourceUseCase() string

func (*PublisherModel_CallToAction_RegionalResourceReferences) GetTitle 

func (x *PublisherModel_CallToAction_RegionalResourceReferences) GetTitle() string

func (*PublisherModel_CallToAction_RegionalResourceReferences) ProtoMessage 

func (*PublisherModel_CallToAction_RegionalResourceReferences) ProtoMessage()

func (*PublisherModel_CallToAction_RegionalResourceReferences) ProtoReflect 

func (x *PublisherModel_CallToAction_RegionalResourceReferences) ProtoReflect() protoreflect.Message

func (*PublisherModel_CallToAction_RegionalResourceReferences) Reset 

func (x *PublisherModel_CallToAction_RegionalResourceReferences) Reset()

func (*PublisherModel_CallToAction_RegionalResourceReferences) String 

func (x *PublisherModel_CallToAction_RegionalResourceReferences) String() string

type PublisherModel_CallToAction_ViewRestApi 

type PublisherModel_CallToAction_ViewRestApi struct {

	// Required.
	Documentations []*PublisherModel_Documentation `protobuf:"bytes,1,rep,name=documentations,proto3" json:"documentations,omitempty"`
	// Required. The title of the view rest API.
	Title string `protobuf:"bytes,2,opt,name=title,proto3" json:"title,omitempty"`
	// contains filtered or unexported fields
}

Rest API docs.

func (*PublisherModel_CallToAction_ViewRestApi) Descriptor 

func (*PublisherModel_CallToAction_ViewRestApi) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_CallToAction_ViewRestApi.ProtoReflect.Descriptor instead.

func (*PublisherModel_CallToAction_ViewRestApi) GetDocumentations 

func (x *PublisherModel_CallToAction_ViewRestApi) GetDocumentations() []*PublisherModel_Documentation

func (*PublisherModel_CallToAction_ViewRestApi) GetTitle 

func (x *PublisherModel_CallToAction_ViewRestApi) GetTitle() string

func (*PublisherModel_CallToAction_ViewRestApi) ProtoMessage 

func (*PublisherModel_CallToAction_ViewRestApi) ProtoMessage()

func (*PublisherModel_CallToAction_ViewRestApi) ProtoReflect 

func (x *PublisherModel_CallToAction_ViewRestApi) ProtoReflect() protoreflect.Message

func (*PublisherModel_CallToAction_ViewRestApi) Reset 

func (x *PublisherModel_CallToAction_ViewRestApi) Reset()

func (*PublisherModel_CallToAction_ViewRestApi) String 

func (x *PublisherModel_CallToAction_ViewRestApi) String() string

type PublisherModel_Documentation 

type PublisherModel_Documentation struct {

	// Required. E.g., OVERVIEW, USE CASES, DOCUMENTATION, SDK & SAMPLES, JAVA,
	// NODE.JS, etc..
	Title string `protobuf:"bytes,1,opt,name=title,proto3" json:"title,omitempty"`
	// Required. Content of this piece of document (in Markdown format).
	Content string `protobuf:"bytes,2,opt,name=content,proto3" json:"content,omitempty"`
	// contains filtered or unexported fields
}

A named piece of documentation.

func (*PublisherModel_Documentation) Descriptor 

func (*PublisherModel_Documentation) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_Documentation.ProtoReflect.Descriptor instead.

func (*PublisherModel_Documentation) GetContent 

func (x *PublisherModel_Documentation) GetContent() string

func (*PublisherModel_Documentation) GetTitle 

func (x *PublisherModel_Documentation) GetTitle() string

func (*PublisherModel_Documentation) ProtoMessage 

func (*PublisherModel_Documentation) ProtoMessage()

func (*PublisherModel_Documentation) ProtoReflect 

func (x *PublisherModel_Documentation) ProtoReflect() protoreflect.Message

func (*PublisherModel_Documentation) Reset 

func (x *PublisherModel_Documentation) Reset()

func (*PublisherModel_Documentation) String 

func (x *PublisherModel_Documentation) String() string

type PublisherModel_LaunchStage 

type PublisherModel_LaunchStage int32

An enum representing the launch stage of a PublisherModel. 

const (
	// The model launch stage is unspecified.
	PublisherModel_LAUNCH_STAGE_UNSPECIFIED PublisherModel_LaunchStage = 0
	// Used to indicate the PublisherModel is at Experimental launch stage,
	// available to a small set of customers.
	PublisherModel_EXPERIMENTAL PublisherModel_LaunchStage = 1
	// Used to indicate the PublisherModel is at Private Preview launch stage,
	// only available to a small set of customers, although a larger set of
	// customers than an Experimental launch. Previews are the first launch
	// stage used to get feedback from customers.
	PublisherModel_PRIVATE_PREVIEW PublisherModel_LaunchStage = 2
	// Used to indicate the PublisherModel is at Public Preview launch stage,
	// available to all customers, although not supported for production
	// workloads.
	PublisherModel_PUBLIC_PREVIEW PublisherModel_LaunchStage = 3
	// Used to indicate the PublisherModel is at GA launch stage, available to
	// all customers and ready for production workload.
	PublisherModel_GA PublisherModel_LaunchStage = 4
)

func (PublisherModel_LaunchStage) Descriptor 

func (PublisherModel_LaunchStage) Descriptor() protoreflect.EnumDescriptor

func (PublisherModel_LaunchStage) Enum 

func (x PublisherModel_LaunchStage) Enum() *PublisherModel_LaunchStage

func (PublisherModel_LaunchStage) EnumDescriptor 

func (PublisherModel_LaunchStage) EnumDescriptor() ([]byte, []int)

Deprecated: Use PublisherModel_LaunchStage.Descriptor instead.

func (PublisherModel_LaunchStage) Number 

func (x PublisherModel_LaunchStage) Number() protoreflect.EnumNumber

func (PublisherModel_LaunchStage) String 

func (x PublisherModel_LaunchStage) String() string

func (PublisherModel_LaunchStage) Type 

func (PublisherModel_LaunchStage) Type() protoreflect.EnumType

type PublisherModel_OpenSourceCategory 

type PublisherModel_OpenSourceCategory int32

An enum representing the open source category of a PublisherModel. 

const (
	// The open source category is unspecified, which should not be used.
	PublisherModel_OPEN_SOURCE_CATEGORY_UNSPECIFIED PublisherModel_OpenSourceCategory = 0
	// Used to indicate the PublisherModel is not open sourced.
	PublisherModel_PROPRIETARY PublisherModel_OpenSourceCategory = 1
	// Used to indicate the PublisherModel is a Google-owned open source model
	// w/ Google checkpoint.
	PublisherModel_GOOGLE_OWNED_OSS_WITH_GOOGLE_CHECKPOINT PublisherModel_OpenSourceCategory = 2
	// Used to indicate the PublisherModel is a 3p-owned open source model w/
	// Google checkpoint.
	PublisherModel_THIRD_PARTY_OWNED_OSS_WITH_GOOGLE_CHECKPOINT PublisherModel_OpenSourceCategory = 3
	// Used to indicate the PublisherModel is a Google-owned pure open source
	// model.
	PublisherModel_GOOGLE_OWNED_OSS PublisherModel_OpenSourceCategory = 4
	// Used to indicate the PublisherModel is a 3p-owned pure open source model.
	PublisherModel_THIRD_PARTY_OWNED_OSS PublisherModel_OpenSourceCategory = 5
)

func (PublisherModel_OpenSourceCategory) Descriptor 

func (PublisherModel_OpenSourceCategory) Descriptor() protoreflect.EnumDescriptor

func (PublisherModel_OpenSourceCategory) Enum 

func (x PublisherModel_OpenSourceCategory) Enum() *PublisherModel_OpenSourceCategory

func (PublisherModel_OpenSourceCategory) EnumDescriptor 

func (PublisherModel_OpenSourceCategory) EnumDescriptor() ([]byte, []int)

Deprecated: Use PublisherModel_OpenSourceCategory.Descriptor instead.

func (PublisherModel_OpenSourceCategory) Number 

func (x PublisherModel_OpenSourceCategory) Number() protoreflect.EnumNumber

func (PublisherModel_OpenSourceCategory) String 

func (x PublisherModel_OpenSourceCategory) String() string

func (PublisherModel_OpenSourceCategory) Type 

func (PublisherModel_OpenSourceCategory) Type() protoreflect.EnumType

type PublisherModel_ResourceReference 

type PublisherModel_ResourceReference struct {

	// Types that are assignable to Reference:
	//
	//	*PublisherModel_ResourceReference_Uri
	//	*PublisherModel_ResourceReference_ResourceName
	//	*PublisherModel_ResourceReference_UseCase
	//	*PublisherModel_ResourceReference_Description
	Reference isPublisherModel_ResourceReference_Reference `protobuf_oneof:"reference"`
	// contains filtered or unexported fields
}

Reference to a resource.

func (*PublisherModel_ResourceReference) Descriptor 

func (*PublisherModel_ResourceReference) Descriptor() ([]byte, []int)

Deprecated: Use PublisherModel_ResourceReference.ProtoReflect.Descriptor instead.

func (*PublisherModel_ResourceReference) GetDescription 

func (x *PublisherModel_ResourceReference) GetDescription() string

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/publisher_model.proto.

func (*PublisherModel_ResourceReference) GetReference 

func (m *PublisherModel_ResourceReference) GetReference() isPublisherModel_ResourceReference_Reference

func (*PublisherModel_ResourceReference) GetResourceName 

func (x *PublisherModel_ResourceReference) GetResourceName() string

func (*PublisherModel_ResourceReference) GetUri 

func (x *PublisherModel_ResourceReference) GetUri() string

func (*PublisherModel_ResourceReference) GetUseCase 

func (x *PublisherModel_ResourceReference) GetUseCase() string

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/publisher_model.proto.

func (*PublisherModel_ResourceReference) ProtoMessage 

func (*PublisherModel_ResourceReference) ProtoMessage()

func (*PublisherModel_ResourceReference) ProtoReflect 

func (x *PublisherModel_ResourceReference) ProtoReflect() protoreflect.Message

func (*PublisherModel_ResourceReference) Reset 

func (x *PublisherModel_ResourceReference) Reset()

func (*PublisherModel_ResourceReference) String 

func (x *PublisherModel_ResourceReference) String() string

type PublisherModel_ResourceReference_Description 

type PublisherModel_ResourceReference_Description struct {
	// Description of the resource.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/publisher_model.proto.
	Description string `protobuf:"bytes,4,opt,name=description,proto3,oneof"`
}

type PublisherModel_ResourceReference_ResourceName 

type PublisherModel_ResourceReference_ResourceName struct {
	// The resource name of the Google Cloud resource.
	ResourceName string `protobuf:"bytes,2,opt,name=resource_name,json=resourceName,proto3,oneof"`
}

type PublisherModel_ResourceReference_Uri 

type PublisherModel_ResourceReference_Uri struct {
	// The URI of the resource.
	Uri string `protobuf:"bytes,1,opt,name=uri,proto3,oneof"`
}

type PublisherModel_ResourceReference_UseCase 

type PublisherModel_ResourceReference_UseCase struct {
	// Use case (CUJ) of the resource.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/publisher_model.proto.
	UseCase string `protobuf:"bytes,3,opt,name=use_case,json=useCase,proto3,oneof"`
}

type PublisherModel_VersionState 

type PublisherModel_VersionState int32

An enum representing the state of the PublicModelVersion. 

const (
	// The version state is unspecified.
	PublisherModel_VERSION_STATE_UNSPECIFIED PublisherModel_VersionState = 0
	// Used to indicate the version is stable.
	PublisherModel_VERSION_STATE_STABLE PublisherModel_VersionState = 1
	// Used to indicate the version is unstable.
	PublisherModel_VERSION_STATE_UNSTABLE PublisherModel_VersionState = 2
)

func (PublisherModel_VersionState) Descriptor 

func (PublisherModel_VersionState) Descriptor() protoreflect.EnumDescriptor

func (PublisherModel_VersionState) Enum 

func (x PublisherModel_VersionState) Enum() *PublisherModel_VersionState

func (PublisherModel_VersionState) EnumDescriptor 

func (PublisherModel_VersionState) EnumDescriptor() ([]byte, []int)

Deprecated: Use PublisherModel_VersionState.Descriptor instead.

func (PublisherModel_VersionState) Number 

func (x PublisherModel_VersionState) Number() protoreflect.EnumNumber

func (PublisherModel_VersionState) String 

func (x PublisherModel_VersionState) String() string

func (PublisherModel_VersionState) Type 

func (PublisherModel_VersionState) Type() protoreflect.EnumType

type PurgeArtifactsMetadata 

type PurgeArtifactsMetadata struct {

	// Operation metadata for purging Artifacts.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].

func (*PurgeArtifactsMetadata) Descriptor 

func (*PurgeArtifactsMetadata) Descriptor() ([]byte, []int)

Deprecated: Use PurgeArtifactsMetadata.ProtoReflect.Descriptor instead.

func (*PurgeArtifactsMetadata) GetGenericMetadata 

func (x *PurgeArtifactsMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*PurgeArtifactsMetadata) ProtoMessage 

func (*PurgeArtifactsMetadata) ProtoMessage()

func (*PurgeArtifactsMetadata) ProtoReflect 

func (x *PurgeArtifactsMetadata) ProtoReflect() protoreflect.Message

func (*PurgeArtifactsMetadata) Reset 

func (x *PurgeArtifactsMetadata) Reset()

func (*PurgeArtifactsMetadata) String 

func (x *PurgeArtifactsMetadata) String() string

type PurgeArtifactsRequest 

type PurgeArtifactsRequest struct {

	// Required. The metadata store to purge Artifacts from.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. A required filter matching the Artifacts to be purged.
	// E.g., `update_time <= 2020-11-19T11:30:00-04:00`.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. Flag to indicate to actually perform the purge.
	// If `force` is set to false, the method will return a sample of
	// Artifact names that would be deleted.
	Force bool `protobuf:"varint,3,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].

func (*PurgeArtifactsRequest) Descriptor 

func (*PurgeArtifactsRequest) Descriptor() ([]byte, []int)

Deprecated: Use PurgeArtifactsRequest.ProtoReflect.Descriptor instead.

func (*PurgeArtifactsRequest) GetFilter 

func (x *PurgeArtifactsRequest) GetFilter() string

func (*PurgeArtifactsRequest) GetForce 

func (x *PurgeArtifactsRequest) GetForce() bool

func (*PurgeArtifactsRequest) GetParent 

func (x *PurgeArtifactsRequest) GetParent() string

func (*PurgeArtifactsRequest) ProtoMessage 

func (*PurgeArtifactsRequest) ProtoMessage()

func (*PurgeArtifactsRequest) ProtoReflect 

func (x *PurgeArtifactsRequest) ProtoReflect() protoreflect.Message

func (*PurgeArtifactsRequest) Reset 

func (x *PurgeArtifactsRequest) Reset()

func (*PurgeArtifactsRequest) String 

func (x *PurgeArtifactsRequest) String() string

type PurgeArtifactsResponse 

type PurgeArtifactsResponse struct {

	// The number of Artifacts that this request deleted (or, if `force` is false,
	// the number of Artifacts that will be deleted). This can be an estimate.
	PurgeCount int64 `protobuf:"varint,1,opt,name=purge_count,json=purgeCount,proto3" json:"purge_count,omitempty"`
	// A sample of the Artifact names that will be deleted.
	// Only populated if `force` is set to false. The maximum number of samples is
	// 100 (it is possible to return fewer).
	PurgeSample []string `protobuf:"bytes,2,rep,name=purge_sample,json=purgeSample,proto3" json:"purge_sample,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].

func (*PurgeArtifactsResponse) Descriptor 

func (*PurgeArtifactsResponse) Descriptor() ([]byte, []int)

Deprecated: Use PurgeArtifactsResponse.ProtoReflect.Descriptor instead.

func (*PurgeArtifactsResponse) GetPurgeCount 

func (x *PurgeArtifactsResponse) GetPurgeCount() int64

func (*PurgeArtifactsResponse) GetPurgeSample 

func (x *PurgeArtifactsResponse) GetPurgeSample() []string

func (*PurgeArtifactsResponse) ProtoMessage 

func (*PurgeArtifactsResponse) ProtoMessage()

func (*PurgeArtifactsResponse) ProtoReflect 

func (x *PurgeArtifactsResponse) ProtoReflect() protoreflect.Message

func (*PurgeArtifactsResponse) Reset 

func (x *PurgeArtifactsResponse) Reset()

func (*PurgeArtifactsResponse) String 

func (x *PurgeArtifactsResponse) String() string

type PurgeContextsMetadata 

type PurgeContextsMetadata struct {

	// Operation metadata for purging Contexts.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].

func (*PurgeContextsMetadata) Descriptor 

func (*PurgeContextsMetadata) Descriptor() ([]byte, []int)

Deprecated: Use PurgeContextsMetadata.ProtoReflect.Descriptor instead.

func (*PurgeContextsMetadata) GetGenericMetadata 

func (x *PurgeContextsMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*PurgeContextsMetadata) ProtoMessage 

func (*PurgeContextsMetadata) ProtoMessage()

func (*PurgeContextsMetadata) ProtoReflect 

func (x *PurgeContextsMetadata) ProtoReflect() protoreflect.Message

func (*PurgeContextsMetadata) Reset 

func (x *PurgeContextsMetadata) Reset()

func (*PurgeContextsMetadata) String 

func (x *PurgeContextsMetadata) String() string

type PurgeContextsRequest 

type PurgeContextsRequest struct {

	// Required. The metadata store to purge Contexts from.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. A required filter matching the Contexts to be purged.
	// E.g., `update_time <= 2020-11-19T11:30:00-04:00`.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. Flag to indicate to actually perform the purge.
	// If `force` is set to false, the method will return a sample of
	// Context names that would be deleted.
	Force bool `protobuf:"varint,3,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].

func (*PurgeContextsRequest) Descriptor 

func (*PurgeContextsRequest) Descriptor() ([]byte, []int)

Deprecated: Use PurgeContextsRequest.ProtoReflect.Descriptor instead.

func (*PurgeContextsRequest) GetFilter 

func (x *PurgeContextsRequest) GetFilter() string

func (*PurgeContextsRequest) GetForce 

func (x *PurgeContextsRequest) GetForce() bool

func (*PurgeContextsRequest) GetParent 

func (x *PurgeContextsRequest) GetParent() string

func (*PurgeContextsRequest) ProtoMessage 

func (*PurgeContextsRequest) ProtoMessage()

func (*PurgeContextsRequest) ProtoReflect 

func (x *PurgeContextsRequest) ProtoReflect() protoreflect.Message

func (*PurgeContextsRequest) Reset 

func (x *PurgeContextsRequest) Reset()

func (*PurgeContextsRequest) String 

func (x *PurgeContextsRequest) String() string

type PurgeContextsResponse 

type PurgeContextsResponse struct {

	// The number of Contexts that this request deleted (or, if `force` is false,
	// the number of Contexts that will be deleted). This can be an estimate.
	PurgeCount int64 `protobuf:"varint,1,opt,name=purge_count,json=purgeCount,proto3" json:"purge_count,omitempty"`
	// A sample of the Context names that will be deleted.
	// Only populated if `force` is set to false. The maximum number of samples is
	// 100 (it is possible to return fewer).
	PurgeSample []string `protobuf:"bytes,2,rep,name=purge_sample,json=purgeSample,proto3" json:"purge_sample,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].

func (*PurgeContextsResponse) Descriptor 

func (*PurgeContextsResponse) Descriptor() ([]byte, []int)

Deprecated: Use PurgeContextsResponse.ProtoReflect.Descriptor instead.

func (*PurgeContextsResponse) GetPurgeCount 

func (x *PurgeContextsResponse) GetPurgeCount() int64

func (*PurgeContextsResponse) GetPurgeSample 

func (x *PurgeContextsResponse) GetPurgeSample() []string

func (*PurgeContextsResponse) ProtoMessage 

func (*PurgeContextsResponse) ProtoMessage()

func (*PurgeContextsResponse) ProtoReflect 

func (x *PurgeContextsResponse) ProtoReflect() protoreflect.Message

func (*PurgeContextsResponse) Reset 

func (x *PurgeContextsResponse) Reset()

func (*PurgeContextsResponse) String 

func (x *PurgeContextsResponse) String() string

type PurgeExecutionsMetadata 

type PurgeExecutionsMetadata struct {

	// Operation metadata for purging Executions.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].

func (*PurgeExecutionsMetadata) Descriptor 

func (*PurgeExecutionsMetadata) Descriptor() ([]byte, []int)

Deprecated: Use PurgeExecutionsMetadata.ProtoReflect.Descriptor instead.

func (*PurgeExecutionsMetadata) GetGenericMetadata 

func (x *PurgeExecutionsMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*PurgeExecutionsMetadata) ProtoMessage 

func (*PurgeExecutionsMetadata) ProtoMessage()

func (*PurgeExecutionsMetadata) ProtoReflect 

func (x *PurgeExecutionsMetadata) ProtoReflect() protoreflect.Message

func (*PurgeExecutionsMetadata) Reset 

func (x *PurgeExecutionsMetadata) Reset()

func (*PurgeExecutionsMetadata) String 

func (x *PurgeExecutionsMetadata) String() string

type PurgeExecutionsRequest 

type PurgeExecutionsRequest struct {

	// Required. The metadata store to purge Executions from.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. A required filter matching the Executions to be purged.
	// E.g., `update_time <= 2020-11-19T11:30:00-04:00`.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. Flag to indicate to actually perform the purge.
	// If `force` is set to false, the method will return a sample of
	// Execution names that would be deleted.
	Force bool `protobuf:"varint,3,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].

func (*PurgeExecutionsRequest) Descriptor 

func (*PurgeExecutionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use PurgeExecutionsRequest.ProtoReflect.Descriptor instead.

func (*PurgeExecutionsRequest) GetFilter 

func (x *PurgeExecutionsRequest) GetFilter() string

func (*PurgeExecutionsRequest) GetForce 

func (x *PurgeExecutionsRequest) GetForce() bool

func (*PurgeExecutionsRequest) GetParent 

func (x *PurgeExecutionsRequest) GetParent() string

func (*PurgeExecutionsRequest) ProtoMessage 

func (*PurgeExecutionsRequest) ProtoMessage()

func (*PurgeExecutionsRequest) ProtoReflect 

func (x *PurgeExecutionsRequest) ProtoReflect() protoreflect.Message

func (*PurgeExecutionsRequest) Reset 

func (x *PurgeExecutionsRequest) Reset()

func (*PurgeExecutionsRequest) String 

func (x *PurgeExecutionsRequest) String() string

type PurgeExecutionsResponse 

type PurgeExecutionsResponse struct {

	// The number of Executions that this request deleted (or, if `force` is
	// false, the number of Executions that will be deleted). This can be an
	// estimate.
	PurgeCount int64 `protobuf:"varint,1,opt,name=purge_count,json=purgeCount,proto3" json:"purge_count,omitempty"`
	// A sample of the Execution names that will be deleted.
	// Only populated if `force` is set to false. The maximum number of samples is
	// 100 (it is possible to return fewer).
	PurgeSample []string `protobuf:"bytes,2,rep,name=purge_sample,json=purgeSample,proto3" json:"purge_sample,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].

func (*PurgeExecutionsResponse) Descriptor 

func (*PurgeExecutionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use PurgeExecutionsResponse.ProtoReflect.Descriptor instead.

func (*PurgeExecutionsResponse) GetPurgeCount 

func (x *PurgeExecutionsResponse) GetPurgeCount() int64

func (*PurgeExecutionsResponse) GetPurgeSample 

func (x *PurgeExecutionsResponse) GetPurgeSample() []string

func (*PurgeExecutionsResponse) ProtoMessage 

func (*PurgeExecutionsResponse) ProtoMessage()

func (*PurgeExecutionsResponse) ProtoReflect 

func (x *PurgeExecutionsResponse) ProtoReflect() protoreflect.Message

func (*PurgeExecutionsResponse) Reset 

func (x *PurgeExecutionsResponse) Reset()

func (*PurgeExecutionsResponse) String 

func (x *PurgeExecutionsResponse) String() string

type PythonPackageSpec 

type PythonPackageSpec struct {

	// Required. The URI of a container image in Artifact Registry that will run
	// the provided Python package. Vertex AI provides a wide range of executor
	// images with pre-installed packages to meet users' various use cases. See
	// the list of [pre-built containers for
	// training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
	// You must use an image from this list.
	ExecutorImageUri string `protobuf:"bytes,1,opt,name=executor_image_uri,json=executorImageUri,proto3" json:"executor_image_uri,omitempty"`
	// Required. The Google Cloud Storage location of the Python package files
	// which are the training program and its dependent packages. The maximum
	// number of package URIs is 100.
	PackageUris []string `protobuf:"bytes,2,rep,name=package_uris,json=packageUris,proto3" json:"package_uris,omitempty"`
	// Required. The Python module name to run after installing the packages.
	PythonModule string `protobuf:"bytes,3,opt,name=python_module,json=pythonModule,proto3" json:"python_module,omitempty"`
	// Command line arguments to be passed to the Python task.
	Args []string `protobuf:"bytes,4,rep,name=args,proto3" json:"args,omitempty"`
	// Environment variables to be passed to the python module.
	// Maximum limit is 100.
	Env []*EnvVar `protobuf:"bytes,5,rep,name=env,proto3" json:"env,omitempty"`
	// contains filtered or unexported fields
}

The spec of a Python packaged code.

func (*PythonPackageSpec) Descriptor 

func (*PythonPackageSpec) Descriptor() ([]byte, []int)

Deprecated: Use PythonPackageSpec.ProtoReflect.Descriptor instead.

func (*PythonPackageSpec) GetArgs 

func (x *PythonPackageSpec) GetArgs() []string

func (*PythonPackageSpec) GetEnv 

func (x *PythonPackageSpec) GetEnv() []*EnvVar

func (*PythonPackageSpec) GetExecutorImageUri 

func (x *PythonPackageSpec) GetExecutorImageUri() string

func (*PythonPackageSpec) GetPackageUris 

func (x *PythonPackageSpec) GetPackageUris() []string

func (*PythonPackageSpec) GetPythonModule 

func (x *PythonPackageSpec) GetPythonModule() string

func (*PythonPackageSpec) ProtoMessage 

func (*PythonPackageSpec) ProtoMessage()

func (*PythonPackageSpec) ProtoReflect 

func (x *PythonPackageSpec) ProtoReflect() protoreflect.Message

func (*PythonPackageSpec) Reset 

func (x *PythonPackageSpec) Reset()

func (*PythonPackageSpec) String 

func (x *PythonPackageSpec) String() string

type QueryArtifactLineageSubgraphRequest 

type QueryArtifactLineageSubgraphRequest struct {

	// Required. The resource name of the Artifact whose Lineage needs to be
	// retrieved as a LineageSubgraph. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	//
	// The request may error with FAILED_PRECONDITION if the number of Artifacts,
	// the number of Executions, or the number of Events that would be returned
	// for the Context exceeds 1000.
	Artifact string `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// Specifies the size of the lineage graph in terms of number of hops from the
	// specified artifact.
	// Negative Value: INVALID_ARGUMENT error is returned
	// 0: Only input artifact is returned.
	// No value: Transitive closure is performed to return the complete graph.
	MaxHops int32 `protobuf:"varint,2,opt,name=max_hops,json=maxHops,proto3" json:"max_hops,omitempty"`
	// Filter specifying the boolean condition for the Artifacts to satisfy in
	// order to be part of the Lineage Subgraph.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// The supported set of filters include the following:
	//
	//   - **Attribute filtering**:
	//     For example: `display_name = "test"`
	//     Supported fields include: `name`, `display_name`, `uri`, `state`,
	//     `schema_title`, `create_time`, and `update_time`.
	//     Time fields, such as `create_time` and `update_time`, require values
	//     specified in RFC-3339 format.
	//     For example: `create_time = "2020-11-19T11:30:00-04:00"`
	//   - **Metadata field**:
	//     To filter on metadata fields use traversal operation as follows:
	//     `metadata.<field_name>.<type_value>`.
	//     For example: `metadata.field_1.number_value = 10.0`
	//     In case the field name contains special characters (such as colon), one
	//     can embed it inside double quote.
	//     For example: `metadata."field:1".number_value = 10.0`
	//
	// Each of the above supported filter types can be combined together using
	// logical operators (`AND` & `OR`). Maximum nested expression depth allowed
	// is 5.
	//
	// For example: `display_name = "test" AND metadata.field1.bool_value = true`.
	Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].

func (*QueryArtifactLineageSubgraphRequest) Descriptor 

func (*QueryArtifactLineageSubgraphRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryArtifactLineageSubgraphRequest.ProtoReflect.Descriptor instead.

func (*QueryArtifactLineageSubgraphRequest) GetArtifact 

func (x *QueryArtifactLineageSubgraphRequest) GetArtifact() string

func (*QueryArtifactLineageSubgraphRequest) GetFilter 

func (x *QueryArtifactLineageSubgraphRequest) GetFilter() string

func (*QueryArtifactLineageSubgraphRequest) GetMaxHops 

func (x *QueryArtifactLineageSubgraphRequest) GetMaxHops() int32

func (*QueryArtifactLineageSubgraphRequest) ProtoMessage 

func (*QueryArtifactLineageSubgraphRequest) ProtoMessage()

func (*QueryArtifactLineageSubgraphRequest) ProtoReflect 

func (x *QueryArtifactLineageSubgraphRequest) ProtoReflect() protoreflect.Message

func (*QueryArtifactLineageSubgraphRequest) Reset 

func (x *QueryArtifactLineageSubgraphRequest) Reset()

func (*QueryArtifactLineageSubgraphRequest) String 

func (x *QueryArtifactLineageSubgraphRequest) String() string

type QueryContextLineageSubgraphRequest 

type QueryContextLineageSubgraphRequest struct {

	// Required. The resource name of the Context whose Artifacts and Executions
	// should be retrieved as a LineageSubgraph.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	//
	// The request may error with FAILED_PRECONDITION if the number of Artifacts,
	// the number of Executions, or the number of Events that would be returned
	// for the Context exceeds 1000.
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].

func (*QueryContextLineageSubgraphRequest) Descriptor 

func (*QueryContextLineageSubgraphRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryContextLineageSubgraphRequest.ProtoReflect.Descriptor instead.

func (*QueryContextLineageSubgraphRequest) GetContext 

func (x *QueryContextLineageSubgraphRequest) GetContext() string

func (*QueryContextLineageSubgraphRequest) ProtoMessage 

func (*QueryContextLineageSubgraphRequest) ProtoMessage()

func (*QueryContextLineageSubgraphRequest) ProtoReflect 

func (x *QueryContextLineageSubgraphRequest) ProtoReflect() protoreflect.Message

func (*QueryContextLineageSubgraphRequest) Reset 

func (x *QueryContextLineageSubgraphRequest) Reset()

func (*QueryContextLineageSubgraphRequest) String 

func (x *QueryContextLineageSubgraphRequest) String() string

type QueryDeployedModelsRequest 

type QueryDeployedModelsRequest struct {

	// Required. The name of the target DeploymentResourcePool to query.
	// Format:
	// `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
	DeploymentResourcePool string `protobuf:"bytes,1,opt,name=deployment_resource_pool,json=deploymentResourcePool,proto3" json:"deployment_resource_pool,omitempty"`
	// The maximum number of DeployedModels to return. The service may return
	// fewer than this value.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous `QueryDeployedModels` call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// `QueryDeployedModels` must match the call that provided the page
	// token.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for QueryDeployedModels method.

func (*QueryDeployedModelsRequest) Descriptor 

func (*QueryDeployedModelsRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryDeployedModelsRequest.ProtoReflect.Descriptor instead.

func (*QueryDeployedModelsRequest) GetDeploymentResourcePool 

func (x *QueryDeployedModelsRequest) GetDeploymentResourcePool() string

func (*QueryDeployedModelsRequest) GetPageSize 

func (x *QueryDeployedModelsRequest) GetPageSize() int32

func (*QueryDeployedModelsRequest) GetPageToken 

func (x *QueryDeployedModelsRequest) GetPageToken() string

func (*QueryDeployedModelsRequest) ProtoMessage 

func (*QueryDeployedModelsRequest) ProtoMessage()

func (*QueryDeployedModelsRequest) ProtoReflect 

func (x *QueryDeployedModelsRequest) ProtoReflect() protoreflect.Message

func (*QueryDeployedModelsRequest) Reset 

func (x *QueryDeployedModelsRequest) Reset()

func (*QueryDeployedModelsRequest) String 

func (x *QueryDeployedModelsRequest) String() string

type QueryDeployedModelsResponse 

type QueryDeployedModelsResponse struct {

	// DEPRECATED Use deployed_model_refs instead.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/deployment_resource_pool_service.proto.
	DeployedModels []*DeployedModel `protobuf:"bytes,1,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`
	// A token, which can be sent as `page_token` to retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// References to the DeployedModels that share the specified
	// deploymentResourcePool.
	DeployedModelRefs []*DeployedModelRef `protobuf:"bytes,3,rep,name=deployed_model_refs,json=deployedModelRefs,proto3" json:"deployed_model_refs,omitempty"`
	// The total number of DeployedModels on this DeploymentResourcePool.
	TotalDeployedModelCount int32 `protobuf:"varint,4,opt,name=total_deployed_model_count,json=totalDeployedModelCount,proto3" json:"total_deployed_model_count,omitempty"`
	// The total number of Endpoints that have DeployedModels on this
	// DeploymentResourcePool.
	TotalEndpointCount int32 `protobuf:"varint,5,opt,name=total_endpoint_count,json=totalEndpointCount,proto3" json:"total_endpoint_count,omitempty"`
	// contains filtered or unexported fields
}

Response message for QueryDeployedModels method.

func (*QueryDeployedModelsResponse) Descriptor 

func (*QueryDeployedModelsResponse) Descriptor() ([]byte, []int)

Deprecated: Use QueryDeployedModelsResponse.ProtoReflect.Descriptor instead.

func (*QueryDeployedModelsResponse) GetDeployedModelRefs 

func (x *QueryDeployedModelsResponse) GetDeployedModelRefs() []*DeployedModelRef

func (*QueryDeployedModelsResponse) GetDeployedModels 

func (x *QueryDeployedModelsResponse) GetDeployedModels() []*DeployedModel

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/deployment_resource_pool_service.proto.

func (*QueryDeployedModelsResponse) GetNextPageToken 

func (x *QueryDeployedModelsResponse) GetNextPageToken() string

func (*QueryDeployedModelsResponse) GetTotalDeployedModelCount 

func (x *QueryDeployedModelsResponse) GetTotalDeployedModelCount() int32

func (*QueryDeployedModelsResponse) GetTotalEndpointCount 

func (x *QueryDeployedModelsResponse) GetTotalEndpointCount() int32

func (*QueryDeployedModelsResponse) ProtoMessage 

func (*QueryDeployedModelsResponse) ProtoMessage()

func (*QueryDeployedModelsResponse) ProtoReflect 

func (x *QueryDeployedModelsResponse) ProtoReflect() protoreflect.Message

func (*QueryDeployedModelsResponse) Reset 

func (x *QueryDeployedModelsResponse) Reset()

func (*QueryDeployedModelsResponse) String 

func (x *QueryDeployedModelsResponse) String() string

type QueryExecutionInputsAndOutputsRequest 

type QueryExecutionInputsAndOutputsRequest struct {

	// Required. The resource name of the Execution whose input and output
	// Artifacts should be retrieved as a LineageSubgraph. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Execution string `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].

func (*QueryExecutionInputsAndOutputsRequest) Descriptor 

func (*QueryExecutionInputsAndOutputsRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryExecutionInputsAndOutputsRequest.ProtoReflect.Descriptor instead.

func (*QueryExecutionInputsAndOutputsRequest) GetExecution 

func (x *QueryExecutionInputsAndOutputsRequest) GetExecution() string

func (*QueryExecutionInputsAndOutputsRequest) ProtoMessage 

func (*QueryExecutionInputsAndOutputsRequest) ProtoMessage()

func (*QueryExecutionInputsAndOutputsRequest) ProtoReflect 

func (x *QueryExecutionInputsAndOutputsRequest) ProtoReflect() protoreflect.Message

func (*QueryExecutionInputsAndOutputsRequest) Reset 

func (x *QueryExecutionInputsAndOutputsRequest) Reset()

func (*QueryExecutionInputsAndOutputsRequest) String 

func (x *QueryExecutionInputsAndOutputsRequest) String() string

type QueryReasoningEngineRequest 

type QueryReasoningEngineRequest struct {

	// Required. The name of the ReasoningEngine resource to use.
	// Format:
	// `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. Input content provided by users in JSON object format. Examples
	// include text query, function calling parameters, media bytes, etc.
	Input *structpb.Struct `protobuf:"bytes,2,opt,name=input,proto3" json:"input,omitempty"`
	// Optional. Class method to be used for the query.
	// It is optional and defaults to "query" if unspecified.
	ClassMethod string `protobuf:"bytes,3,opt,name=class_method,json=classMethod,proto3" json:"class_method,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ReasoningEngineExecutionService.Query][].

func (*QueryReasoningEngineRequest) Descriptor 

func (*QueryReasoningEngineRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryReasoningEngineRequest.ProtoReflect.Descriptor instead.

func (*QueryReasoningEngineRequest) GetClassMethod 

func (x *QueryReasoningEngineRequest) GetClassMethod() string

func (*QueryReasoningEngineRequest) GetInput 

func (x *QueryReasoningEngineRequest) GetInput() *structpb.Struct

func (*QueryReasoningEngineRequest) GetName 

func (x *QueryReasoningEngineRequest) GetName() string

func (*QueryReasoningEngineRequest) ProtoMessage 

func (*QueryReasoningEngineRequest) ProtoMessage()

func (*QueryReasoningEngineRequest) ProtoReflect 

func (x *QueryReasoningEngineRequest) ProtoReflect() protoreflect.Message

func (*QueryReasoningEngineRequest) Reset 

func (x *QueryReasoningEngineRequest) Reset()

func (*QueryReasoningEngineRequest) String 

func (x *QueryReasoningEngineRequest) String() string

type QueryReasoningEngineResponse 

type QueryReasoningEngineResponse struct {

	// Response provided by users in JSON object format.
	Output *structpb.Value `protobuf:"bytes,1,opt,name=output,proto3" json:"output,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ReasoningEngineExecutionService.Query][]

func (*QueryReasoningEngineResponse) Descriptor 

func (*QueryReasoningEngineResponse) Descriptor() ([]byte, []int)

Deprecated: Use QueryReasoningEngineResponse.ProtoReflect.Descriptor instead.

func (*QueryReasoningEngineResponse) GetOutput 

func (x *QueryReasoningEngineResponse) GetOutput() *structpb.Value

func (*QueryReasoningEngineResponse) ProtoMessage 

func (*QueryReasoningEngineResponse) ProtoMessage()

func (*QueryReasoningEngineResponse) ProtoReflect 

func (x *QueryReasoningEngineResponse) ProtoReflect() protoreflect.Message

func (*QueryReasoningEngineResponse) Reset 

func (x *QueryReasoningEngineResponse) Reset()

func (*QueryReasoningEngineResponse) String 

func (x *QueryReasoningEngineResponse) String() string

type QuestionAnsweringCorrectnessInput 

type QuestionAnsweringCorrectnessInput struct {

	// Required. Spec for question answering correctness score metric.
	MetricSpec *QuestionAnsweringCorrectnessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Question answering correctness instance.
	Instance *QuestionAnsweringCorrectnessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for question answering correctness metric.

func (*QuestionAnsweringCorrectnessInput) Descriptor 

func (*QuestionAnsweringCorrectnessInput) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringCorrectnessInput.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringCorrectnessInput) GetInstance 

func (x *QuestionAnsweringCorrectnessInput) GetInstance() *QuestionAnsweringCorrectnessInstance

func (*QuestionAnsweringCorrectnessInput) GetMetricSpec 

func (x *QuestionAnsweringCorrectnessInput) GetMetricSpec() *QuestionAnsweringCorrectnessSpec

func (*QuestionAnsweringCorrectnessInput) ProtoMessage 

func (*QuestionAnsweringCorrectnessInput) ProtoMessage()

func (*QuestionAnsweringCorrectnessInput) ProtoReflect 

func (x *QuestionAnsweringCorrectnessInput) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringCorrectnessInput) Reset 

func (x *QuestionAnsweringCorrectnessInput) Reset()

func (*QuestionAnsweringCorrectnessInput) String 

func (x *QuestionAnsweringCorrectnessInput) String() string

type QuestionAnsweringCorrectnessInstance 

type QuestionAnsweringCorrectnessInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Optional. Text provided as context to answer the question.
	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// Required. The question asked and other instruction in the inference prompt.
	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering correctness instance.

func (*QuestionAnsweringCorrectnessInstance) Descriptor 

func (*QuestionAnsweringCorrectnessInstance) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringCorrectnessInstance.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringCorrectnessInstance) GetContext 

func (x *QuestionAnsweringCorrectnessInstance) GetContext() string

func (*QuestionAnsweringCorrectnessInstance) GetInstruction 

func (x *QuestionAnsweringCorrectnessInstance) GetInstruction() string

func (*QuestionAnsweringCorrectnessInstance) GetPrediction 

func (x *QuestionAnsweringCorrectnessInstance) GetPrediction() string

func (*QuestionAnsweringCorrectnessInstance) GetReference 

func (x *QuestionAnsweringCorrectnessInstance) GetReference() string

func (*QuestionAnsweringCorrectnessInstance) ProtoMessage 

func (*QuestionAnsweringCorrectnessInstance) ProtoMessage()

func (*QuestionAnsweringCorrectnessInstance) ProtoReflect 

func (x *QuestionAnsweringCorrectnessInstance) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringCorrectnessInstance) Reset 

func (x *QuestionAnsweringCorrectnessInstance) Reset()

func (*QuestionAnsweringCorrectnessInstance) String 

func (x *QuestionAnsweringCorrectnessInstance) String() string

type QuestionAnsweringCorrectnessResult 

type QuestionAnsweringCorrectnessResult struct {

	// Output only. Question Answering Correctness score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for question answering correctness score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for question answering correctness score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering correctness result.

func (*QuestionAnsweringCorrectnessResult) Descriptor 

func (*QuestionAnsweringCorrectnessResult) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringCorrectnessResult.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringCorrectnessResult) GetConfidence 

func (x *QuestionAnsweringCorrectnessResult) GetConfidence() float32

func (*QuestionAnsweringCorrectnessResult) GetExplanation 

func (x *QuestionAnsweringCorrectnessResult) GetExplanation() string

func (*QuestionAnsweringCorrectnessResult) GetScore 

func (x *QuestionAnsweringCorrectnessResult) GetScore() float32

func (*QuestionAnsweringCorrectnessResult) ProtoMessage 

func (*QuestionAnsweringCorrectnessResult) ProtoMessage()

func (*QuestionAnsweringCorrectnessResult) ProtoReflect 

func (x *QuestionAnsweringCorrectnessResult) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringCorrectnessResult) Reset 

func (x *QuestionAnsweringCorrectnessResult) Reset()

func (*QuestionAnsweringCorrectnessResult) String 

func (x *QuestionAnsweringCorrectnessResult) String() string

type QuestionAnsweringCorrectnessSpec 

type QuestionAnsweringCorrectnessSpec struct {

	// Optional. Whether to use instance.reference to compute question answering
	// correctness.
	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering correctness metric.

func (*QuestionAnsweringCorrectnessSpec) Descriptor 

func (*QuestionAnsweringCorrectnessSpec) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringCorrectnessSpec.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringCorrectnessSpec) GetUseReference 

func (x *QuestionAnsweringCorrectnessSpec) GetUseReference() bool

func (*QuestionAnsweringCorrectnessSpec) GetVersion 

func (x *QuestionAnsweringCorrectnessSpec) GetVersion() int32

func (*QuestionAnsweringCorrectnessSpec) ProtoMessage 

func (*QuestionAnsweringCorrectnessSpec) ProtoMessage()

func (*QuestionAnsweringCorrectnessSpec) ProtoReflect 

func (x *QuestionAnsweringCorrectnessSpec) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringCorrectnessSpec) Reset 

func (x *QuestionAnsweringCorrectnessSpec) Reset()

func (*QuestionAnsweringCorrectnessSpec) String 

func (x *QuestionAnsweringCorrectnessSpec) String() string

type QuestionAnsweringHelpfulnessInput 

type QuestionAnsweringHelpfulnessInput struct {

	// Required. Spec for question answering helpfulness score metric.
	MetricSpec *QuestionAnsweringHelpfulnessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Question answering helpfulness instance.
	Instance *QuestionAnsweringHelpfulnessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for question answering helpfulness metric.

func (*QuestionAnsweringHelpfulnessInput) Descriptor 

func (*QuestionAnsweringHelpfulnessInput) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringHelpfulnessInput.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringHelpfulnessInput) GetInstance 

func (x *QuestionAnsweringHelpfulnessInput) GetInstance() *QuestionAnsweringHelpfulnessInstance

func (*QuestionAnsweringHelpfulnessInput) GetMetricSpec 

func (x *QuestionAnsweringHelpfulnessInput) GetMetricSpec() *QuestionAnsweringHelpfulnessSpec

func (*QuestionAnsweringHelpfulnessInput) ProtoMessage 

func (*QuestionAnsweringHelpfulnessInput) ProtoMessage()

func (*QuestionAnsweringHelpfulnessInput) ProtoReflect 

func (x *QuestionAnsweringHelpfulnessInput) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringHelpfulnessInput) Reset 

func (x *QuestionAnsweringHelpfulnessInput) Reset()

func (*QuestionAnsweringHelpfulnessInput) String 

func (x *QuestionAnsweringHelpfulnessInput) String() string

type QuestionAnsweringHelpfulnessInstance 

type QuestionAnsweringHelpfulnessInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Optional. Text provided as context to answer the question.
	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// Required. The question asked and other instruction in the inference prompt.
	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering helpfulness instance.

func (*QuestionAnsweringHelpfulnessInstance) Descriptor 

func (*QuestionAnsweringHelpfulnessInstance) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringHelpfulnessInstance.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringHelpfulnessInstance) GetContext 

func (x *QuestionAnsweringHelpfulnessInstance) GetContext() string

func (*QuestionAnsweringHelpfulnessInstance) GetInstruction 

func (x *QuestionAnsweringHelpfulnessInstance) GetInstruction() string

func (*QuestionAnsweringHelpfulnessInstance) GetPrediction 

func (x *QuestionAnsweringHelpfulnessInstance) GetPrediction() string

func (*QuestionAnsweringHelpfulnessInstance) GetReference 

func (x *QuestionAnsweringHelpfulnessInstance) GetReference() string

func (*QuestionAnsweringHelpfulnessInstance) ProtoMessage 

func (*QuestionAnsweringHelpfulnessInstance) ProtoMessage()

func (*QuestionAnsweringHelpfulnessInstance) ProtoReflect 

func (x *QuestionAnsweringHelpfulnessInstance) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringHelpfulnessInstance) Reset 

func (x *QuestionAnsweringHelpfulnessInstance) Reset()

func (*QuestionAnsweringHelpfulnessInstance) String 

func (x *QuestionAnsweringHelpfulnessInstance) String() string

type QuestionAnsweringHelpfulnessResult 

type QuestionAnsweringHelpfulnessResult struct {

	// Output only. Question Answering Helpfulness score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for question answering helpfulness score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for question answering helpfulness score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering helpfulness result.

func (*QuestionAnsweringHelpfulnessResult) Descriptor 

func (*QuestionAnsweringHelpfulnessResult) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringHelpfulnessResult.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringHelpfulnessResult) GetConfidence 

func (x *QuestionAnsweringHelpfulnessResult) GetConfidence() float32

func (*QuestionAnsweringHelpfulnessResult) GetExplanation 

func (x *QuestionAnsweringHelpfulnessResult) GetExplanation() string

func (*QuestionAnsweringHelpfulnessResult) GetScore 

func (x *QuestionAnsweringHelpfulnessResult) GetScore() float32

func (*QuestionAnsweringHelpfulnessResult) ProtoMessage 

func (*QuestionAnsweringHelpfulnessResult) ProtoMessage()

func (*QuestionAnsweringHelpfulnessResult) ProtoReflect 

func (x *QuestionAnsweringHelpfulnessResult) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringHelpfulnessResult) Reset 

func (x *QuestionAnsweringHelpfulnessResult) Reset()

func (*QuestionAnsweringHelpfulnessResult) String 

func (x *QuestionAnsweringHelpfulnessResult) String() string

type QuestionAnsweringHelpfulnessSpec 

type QuestionAnsweringHelpfulnessSpec struct {

	// Optional. Whether to use instance.reference to compute question answering
	// helpfulness.
	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering helpfulness metric.

func (*QuestionAnsweringHelpfulnessSpec) Descriptor 

func (*QuestionAnsweringHelpfulnessSpec) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringHelpfulnessSpec.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringHelpfulnessSpec) GetUseReference 

func (x *QuestionAnsweringHelpfulnessSpec) GetUseReference() bool

func (*QuestionAnsweringHelpfulnessSpec) GetVersion 

func (x *QuestionAnsweringHelpfulnessSpec) GetVersion() int32

func (*QuestionAnsweringHelpfulnessSpec) ProtoMessage 

func (*QuestionAnsweringHelpfulnessSpec) ProtoMessage()

func (*QuestionAnsweringHelpfulnessSpec) ProtoReflect 

func (x *QuestionAnsweringHelpfulnessSpec) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringHelpfulnessSpec) Reset 

func (x *QuestionAnsweringHelpfulnessSpec) Reset()

func (*QuestionAnsweringHelpfulnessSpec) String 

func (x *QuestionAnsweringHelpfulnessSpec) String() string

type QuestionAnsweringQualityInput 

type QuestionAnsweringQualityInput struct {

	// Required. Spec for question answering quality score metric.
	MetricSpec *QuestionAnsweringQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Question answering quality instance.
	Instance *QuestionAnsweringQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for question answering quality metric.

func (*QuestionAnsweringQualityInput) Descriptor 

func (*QuestionAnsweringQualityInput) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringQualityInput.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringQualityInput) GetInstance 

func (x *QuestionAnsweringQualityInput) GetInstance() *QuestionAnsweringQualityInstance

func (*QuestionAnsweringQualityInput) GetMetricSpec 

func (x *QuestionAnsweringQualityInput) GetMetricSpec() *QuestionAnsweringQualitySpec

func (*QuestionAnsweringQualityInput) ProtoMessage 

func (*QuestionAnsweringQualityInput) ProtoMessage()

func (*QuestionAnsweringQualityInput) ProtoReflect 

func (x *QuestionAnsweringQualityInput) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringQualityInput) Reset 

func (x *QuestionAnsweringQualityInput) Reset()

func (*QuestionAnsweringQualityInput) String 

func (x *QuestionAnsweringQualityInput) String() string

type QuestionAnsweringQualityInstance 

type QuestionAnsweringQualityInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Required. Text to answer the question.
	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// Required. Question Answering prompt for LLM.
	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering quality instance.

func (*QuestionAnsweringQualityInstance) Descriptor 

func (*QuestionAnsweringQualityInstance) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringQualityInstance.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringQualityInstance) GetContext 

func (x *QuestionAnsweringQualityInstance) GetContext() string

func (*QuestionAnsweringQualityInstance) GetInstruction 

func (x *QuestionAnsweringQualityInstance) GetInstruction() string

func (*QuestionAnsweringQualityInstance) GetPrediction 

func (x *QuestionAnsweringQualityInstance) GetPrediction() string

func (*QuestionAnsweringQualityInstance) GetReference 

func (x *QuestionAnsweringQualityInstance) GetReference() string

func (*QuestionAnsweringQualityInstance) ProtoMessage 

func (*QuestionAnsweringQualityInstance) ProtoMessage()

func (*QuestionAnsweringQualityInstance) ProtoReflect 

func (x *QuestionAnsweringQualityInstance) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringQualityInstance) Reset 

func (x *QuestionAnsweringQualityInstance) Reset()

func (*QuestionAnsweringQualityInstance) String 

func (x *QuestionAnsweringQualityInstance) String() string

type QuestionAnsweringQualityResult 

type QuestionAnsweringQualityResult struct {

	// Output only. Question Answering Quality score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for question answering quality score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for question answering quality score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering quality result.

func (*QuestionAnsweringQualityResult) Descriptor 

func (*QuestionAnsweringQualityResult) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringQualityResult.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringQualityResult) GetConfidence 

func (x *QuestionAnsweringQualityResult) GetConfidence() float32

func (*QuestionAnsweringQualityResult) GetExplanation 

func (x *QuestionAnsweringQualityResult) GetExplanation() string

func (*QuestionAnsweringQualityResult) GetScore 

func (x *QuestionAnsweringQualityResult) GetScore() float32

func (*QuestionAnsweringQualityResult) ProtoMessage 

func (*QuestionAnsweringQualityResult) ProtoMessage()

func (*QuestionAnsweringQualityResult) ProtoReflect 

func (x *QuestionAnsweringQualityResult) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringQualityResult) Reset 

func (x *QuestionAnsweringQualityResult) Reset()

func (*QuestionAnsweringQualityResult) String 

func (x *QuestionAnsweringQualityResult) String() string

type QuestionAnsweringQualitySpec 

type QuestionAnsweringQualitySpec struct {

	// Optional. Whether to use instance.reference to compute question answering
	// quality.
	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering quality score metric.

func (*QuestionAnsweringQualitySpec) Descriptor 

func (*QuestionAnsweringQualitySpec) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringQualitySpec.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringQualitySpec) GetUseReference 

func (x *QuestionAnsweringQualitySpec) GetUseReference() bool

func (*QuestionAnsweringQualitySpec) GetVersion 

func (x *QuestionAnsweringQualitySpec) GetVersion() int32

func (*QuestionAnsweringQualitySpec) ProtoMessage 

func (*QuestionAnsweringQualitySpec) ProtoMessage()

func (*QuestionAnsweringQualitySpec) ProtoReflect 

func (x *QuestionAnsweringQualitySpec) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringQualitySpec) Reset 

func (x *QuestionAnsweringQualitySpec) Reset()

func (*QuestionAnsweringQualitySpec) String 

func (x *QuestionAnsweringQualitySpec) String() string

type QuestionAnsweringRelevanceInput 

type QuestionAnsweringRelevanceInput struct {

	// Required. Spec for question answering relevance score metric.
	MetricSpec *QuestionAnsweringRelevanceSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Question answering relevance instance.
	Instance *QuestionAnsweringRelevanceInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for question answering relevance metric.

func (*QuestionAnsweringRelevanceInput) Descriptor 

func (*QuestionAnsweringRelevanceInput) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringRelevanceInput.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringRelevanceInput) GetInstance 

func (x *QuestionAnsweringRelevanceInput) GetInstance() *QuestionAnsweringRelevanceInstance

func (*QuestionAnsweringRelevanceInput) GetMetricSpec 

func (x *QuestionAnsweringRelevanceInput) GetMetricSpec() *QuestionAnsweringRelevanceSpec

func (*QuestionAnsweringRelevanceInput) ProtoMessage 

func (*QuestionAnsweringRelevanceInput) ProtoMessage()

func (*QuestionAnsweringRelevanceInput) ProtoReflect 

func (x *QuestionAnsweringRelevanceInput) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringRelevanceInput) Reset 

func (x *QuestionAnsweringRelevanceInput) Reset()

func (*QuestionAnsweringRelevanceInput) String 

func (x *QuestionAnsweringRelevanceInput) String() string

type QuestionAnsweringRelevanceInstance 

type QuestionAnsweringRelevanceInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Optional. Text provided as context to answer the question.
	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// Required. The question asked and other instruction in the inference prompt.
	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering relevance instance.

func (*QuestionAnsweringRelevanceInstance) Descriptor 

func (*QuestionAnsweringRelevanceInstance) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringRelevanceInstance.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringRelevanceInstance) GetContext 

func (x *QuestionAnsweringRelevanceInstance) GetContext() string

func (*QuestionAnsweringRelevanceInstance) GetInstruction 

func (x *QuestionAnsweringRelevanceInstance) GetInstruction() string

func (*QuestionAnsweringRelevanceInstance) GetPrediction 

func (x *QuestionAnsweringRelevanceInstance) GetPrediction() string

func (*QuestionAnsweringRelevanceInstance) GetReference 

func (x *QuestionAnsweringRelevanceInstance) GetReference() string

func (*QuestionAnsweringRelevanceInstance) ProtoMessage 

func (*QuestionAnsweringRelevanceInstance) ProtoMessage()

func (*QuestionAnsweringRelevanceInstance) ProtoReflect 

func (x *QuestionAnsweringRelevanceInstance) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringRelevanceInstance) Reset 

func (x *QuestionAnsweringRelevanceInstance) Reset()

func (*QuestionAnsweringRelevanceInstance) String 

func (x *QuestionAnsweringRelevanceInstance) String() string

type QuestionAnsweringRelevanceResult 

type QuestionAnsweringRelevanceResult struct {

	// Output only. Question Answering Relevance score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for question answering relevance score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for question answering relevance score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering relevance result.

func (*QuestionAnsweringRelevanceResult) Descriptor 

func (*QuestionAnsweringRelevanceResult) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringRelevanceResult.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringRelevanceResult) GetConfidence 

func (x *QuestionAnsweringRelevanceResult) GetConfidence() float32

func (*QuestionAnsweringRelevanceResult) GetExplanation 

func (x *QuestionAnsweringRelevanceResult) GetExplanation() string

func (*QuestionAnsweringRelevanceResult) GetScore 

func (x *QuestionAnsweringRelevanceResult) GetScore() float32

func (*QuestionAnsweringRelevanceResult) ProtoMessage 

func (*QuestionAnsweringRelevanceResult) ProtoMessage()

func (*QuestionAnsweringRelevanceResult) ProtoReflect 

func (x *QuestionAnsweringRelevanceResult) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringRelevanceResult) Reset 

func (x *QuestionAnsweringRelevanceResult) Reset()

func (*QuestionAnsweringRelevanceResult) String 

func (x *QuestionAnsweringRelevanceResult) String() string

type QuestionAnsweringRelevanceSpec 

type QuestionAnsweringRelevanceSpec struct {

	// Optional. Whether to use instance.reference to compute question answering
	// relevance.
	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for question answering relevance metric.

func (*QuestionAnsweringRelevanceSpec) Descriptor 

func (*QuestionAnsweringRelevanceSpec) Descriptor() ([]byte, []int)

Deprecated: Use QuestionAnsweringRelevanceSpec.ProtoReflect.Descriptor instead.

func (*QuestionAnsweringRelevanceSpec) GetUseReference 

func (x *QuestionAnsweringRelevanceSpec) GetUseReference() bool

func (*QuestionAnsweringRelevanceSpec) GetVersion 

func (x *QuestionAnsweringRelevanceSpec) GetVersion() int32

func (*QuestionAnsweringRelevanceSpec) ProtoMessage 

func (*QuestionAnsweringRelevanceSpec) ProtoMessage()

func (*QuestionAnsweringRelevanceSpec) ProtoReflect 

func (x *QuestionAnsweringRelevanceSpec) ProtoReflect() protoreflect.Message

func (*QuestionAnsweringRelevanceSpec) Reset 

func (x *QuestionAnsweringRelevanceSpec) Reset()

func (*QuestionAnsweringRelevanceSpec) String 

func (x *QuestionAnsweringRelevanceSpec) String() string

type RagContexts 

type RagContexts struct {

	// All its contexts.
	Contexts []*RagContexts_Context `protobuf:"bytes,1,rep,name=contexts,proto3" json:"contexts,omitempty"`
	// contains filtered or unexported fields
}

Relevant contexts for one query.

func (*RagContexts) Descriptor 

func (*RagContexts) Descriptor() ([]byte, []int)

Deprecated: Use RagContexts.ProtoReflect.Descriptor instead.

func (*RagContexts) GetContexts 

func (x *RagContexts) GetContexts() []*RagContexts_Context

func (*RagContexts) ProtoMessage 

func (*RagContexts) ProtoMessage()

func (*RagContexts) ProtoReflect 

func (x *RagContexts) ProtoReflect() protoreflect.Message

func (*RagContexts) Reset 

func (x *RagContexts) Reset()

func (*RagContexts) String 

func (x *RagContexts) String() string

type RagContexts_Context 

type RagContexts_Context struct {

	// If the file is imported from Cloud Storage or Google Drive, source_uri
	// will be original file URI in Cloud Storage or Google Drive; if file is
	// uploaded, source_uri will be file display name.
	SourceUri string `protobuf:"bytes,1,opt,name=source_uri,json=sourceUri,proto3" json:"source_uri,omitempty"`
	// The file display name.
	SourceDisplayName string `protobuf:"bytes,5,opt,name=source_display_name,json=sourceDisplayName,proto3" json:"source_display_name,omitempty"`
	// The text chunk.
	Text string `protobuf:"bytes,2,opt,name=text,proto3" json:"text,omitempty"`
	// According to the underlying Vector DB and the selected metric type, the
	// score can be either the distance or the similarity between the query and
	// the context and its range depends on the metric type.
	//
	// For example, if the metric type is COSINE_DISTANCE, it represents the
	// distance between the query and the context. The larger the distance, the
	// less relevant the context is to the query. The range is [0, 2], while 0
	// means the most relevant and 2 means the least relevant.
	Score *float64 `protobuf:"fixed64,6,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

A context of the query.

func (*RagContexts_Context) Descriptor 

func (*RagContexts_Context) Descriptor() ([]byte, []int)

Deprecated: Use RagContexts_Context.ProtoReflect.Descriptor instead.

func (*RagContexts_Context) GetScore 

func (x *RagContexts_Context) GetScore() float64

func (*RagContexts_Context) GetSourceDisplayName 

func (x *RagContexts_Context) GetSourceDisplayName() string

func (*RagContexts_Context) GetSourceUri 

func (x *RagContexts_Context) GetSourceUri() string

func (*RagContexts_Context) GetText 

func (x *RagContexts_Context) GetText() string

func (*RagContexts_Context) ProtoMessage 

func (*RagContexts_Context) ProtoMessage()

func (*RagContexts_Context) ProtoReflect 

func (x *RagContexts_Context) ProtoReflect() protoreflect.Message

func (*RagContexts_Context) Reset 

func (x *RagContexts_Context) Reset()

func (*RagContexts_Context) String 

func (x *RagContexts_Context) String() string

type RagCorpus 

type RagCorpus struct {

	// Output only. The resource name of the RagCorpus.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the RagCorpus.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Optional. The description of the RagCorpus.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Timestamp when this RagCorpus was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this RagCorpus was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. RagCorpus state.
	CorpusStatus *CorpusStatus `protobuf:"bytes,8,opt,name=corpus_status,json=corpusStatus,proto3" json:"corpus_status,omitempty"`
	// The backend config of the RagCorpus.
	// It can be data store and/or retrieval engine.
	//
	// Types that are assignable to BackendConfig:
	//
	//	*RagCorpus_VectorDbConfig
	BackendConfig isRagCorpus_BackendConfig `protobuf_oneof:"backend_config"`
	// contains filtered or unexported fields
}

A RagCorpus is a RagFile container and a project can have multiple RagCorpora.

func (*RagCorpus) Descriptor 

func (*RagCorpus) Descriptor() ([]byte, []int)

Deprecated: Use RagCorpus.ProtoReflect.Descriptor instead.

func (*RagCorpus) GetBackendConfig 

func (m *RagCorpus) GetBackendConfig() isRagCorpus_BackendConfig

func (*RagCorpus) GetCorpusStatus 

func (x *RagCorpus) GetCorpusStatus() *CorpusStatus

func (*RagCorpus) GetCreateTime 

func (x *RagCorpus) GetCreateTime() *timestamppb.Timestamp

func (*RagCorpus) GetDescription 

func (x *RagCorpus) GetDescription() string

func (*RagCorpus) GetDisplayName 

func (x *RagCorpus) GetDisplayName() string

func (*RagCorpus) GetName 

func (x *RagCorpus) GetName() string

func (*RagCorpus) GetUpdateTime 

func (x *RagCorpus) GetUpdateTime() *timestamppb.Timestamp

func (*RagCorpus) GetVectorDbConfig 

func (x *RagCorpus) GetVectorDbConfig() *RagVectorDbConfig

func (*RagCorpus) ProtoMessage 

func (*RagCorpus) ProtoMessage()

func (*RagCorpus) ProtoReflect 

func (x *RagCorpus) ProtoReflect() protoreflect.Message

func (*RagCorpus) Reset 

func (x *RagCorpus) Reset()

func (*RagCorpus) String 

func (x *RagCorpus) String() string

type RagCorpus_VectorDbConfig 

type RagCorpus_VectorDbConfig struct {
	// Optional. Immutable. The config for the Vector DBs.
	VectorDbConfig *RagVectorDbConfig `protobuf:"bytes,9,opt,name=vector_db_config,json=vectorDbConfig,proto3,oneof"`
}

type RagEmbeddingModelConfig 

type RagEmbeddingModelConfig struct {

	// The model config to use.
	//
	// Types that are assignable to ModelConfig:
	//
	//	*RagEmbeddingModelConfig_VertexPredictionEndpoint_
	ModelConfig isRagEmbeddingModelConfig_ModelConfig `protobuf_oneof:"model_config"`
	// contains filtered or unexported fields
}

Config for the embedding model to use for RAG.

func (*RagEmbeddingModelConfig) Descriptor 

func (*RagEmbeddingModelConfig) Descriptor() ([]byte, []int)

Deprecated: Use RagEmbeddingModelConfig.ProtoReflect.Descriptor instead.

func (*RagEmbeddingModelConfig) GetModelConfig 

func (m *RagEmbeddingModelConfig) GetModelConfig() isRagEmbeddingModelConfig_ModelConfig

func (*RagEmbeddingModelConfig) GetVertexPredictionEndpoint 

func (x *RagEmbeddingModelConfig) GetVertexPredictionEndpoint() *RagEmbeddingModelConfig_VertexPredictionEndpoint

func (*RagEmbeddingModelConfig) ProtoMessage 

func (*RagEmbeddingModelConfig) ProtoMessage()

func (*RagEmbeddingModelConfig) ProtoReflect 

func (x *RagEmbeddingModelConfig) ProtoReflect() protoreflect.Message

func (*RagEmbeddingModelConfig) Reset 

func (x *RagEmbeddingModelConfig) Reset()

func (*RagEmbeddingModelConfig) String 

func (x *RagEmbeddingModelConfig) String() string

type RagEmbeddingModelConfig_VertexPredictionEndpoint 

type RagEmbeddingModelConfig_VertexPredictionEndpoint struct {

	// Required. The endpoint resource name.
	// Format:
	// `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
	// or
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Output only. The resource name of the model that is deployed on the
	// endpoint. Present only when the endpoint is not a publisher model.
	// Pattern:
	// `projects/{project}/locations/{location}/models/{model}`
	Model string `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. Version ID of the model that is deployed on the endpoint.
	// Present only when the endpoint is not a publisher model.
	ModelVersionId string `protobuf:"bytes,3,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
	// contains filtered or unexported fields
}

Config representing a model hosted on Vertex Prediction Endpoint.

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) Descriptor 

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) Descriptor() ([]byte, []int)

Deprecated: Use RagEmbeddingModelConfig_VertexPredictionEndpoint.ProtoReflect.Descriptor instead.

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) GetEndpoint 

func (x *RagEmbeddingModelConfig_VertexPredictionEndpoint) GetEndpoint() string

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) GetModel 

func (x *RagEmbeddingModelConfig_VertexPredictionEndpoint) GetModel() string

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) GetModelVersionId 

func (x *RagEmbeddingModelConfig_VertexPredictionEndpoint) GetModelVersionId() string

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) ProtoMessage 

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) ProtoMessage()

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) ProtoReflect 

func (x *RagEmbeddingModelConfig_VertexPredictionEndpoint) ProtoReflect() protoreflect.Message

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) Reset 

func (x *RagEmbeddingModelConfig_VertexPredictionEndpoint) Reset()

func (*RagEmbeddingModelConfig_VertexPredictionEndpoint) String 

func (x *RagEmbeddingModelConfig_VertexPredictionEndpoint) String() string

type RagEmbeddingModelConfig_VertexPredictionEndpoint_ 

type RagEmbeddingModelConfig_VertexPredictionEndpoint_ struct {
	// The Vertex AI Prediction Endpoint that either refers to a publisher model
	// or an endpoint that is hosting a 1P fine-tuned text embedding model.
	// Endpoints hosting non-1P fine-tuned text embedding models are
	// currently not supported.
	// This is used for dense vector search.
	VertexPredictionEndpoint *RagEmbeddingModelConfig_VertexPredictionEndpoint `protobuf:"bytes,1,opt,name=vertex_prediction_endpoint,json=vertexPredictionEndpoint,proto3,oneof"`
}

type RagFile 

type RagFile struct {

	// The origin location of the RagFile if it is imported from Google Cloud
	// Storage or Google Drive.
	//
	// Types that are assignable to RagFileSource:
	//
	//	*RagFile_GcsSource
	//	*RagFile_GoogleDriveSource
	//	*RagFile_DirectUploadSource
	//	*RagFile_SlackSource
	//	*RagFile_JiraSource
	//	*RagFile_SharePointSources
	RagFileSource isRagFile_RagFileSource `protobuf_oneof:"rag_file_source"`
	// Output only. The resource name of the RagFile.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the RagFile.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Optional. The description of the RagFile.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Timestamp when this RagFile was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this RagFile was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. State of the RagFile.
	FileStatus *FileStatus `protobuf:"bytes,13,opt,name=file_status,json=fileStatus,proto3" json:"file_status,omitempty"`
	// contains filtered or unexported fields
}

A RagFile contains user data for chunking, embedding and indexing.

func (*RagFile) Descriptor 

func (*RagFile) Descriptor() ([]byte, []int)

Deprecated: Use RagFile.ProtoReflect.Descriptor instead.

func (*RagFile) GetCreateTime 

func (x *RagFile) GetCreateTime() *timestamppb.Timestamp

func (*RagFile) GetDescription 

func (x *RagFile) GetDescription() string

func (*RagFile) GetDirectUploadSource 

func (x *RagFile) GetDirectUploadSource() *DirectUploadSource

func (*RagFile) GetDisplayName 

func (x *RagFile) GetDisplayName() string

func (*RagFile) GetFileStatus 

func (x *RagFile) GetFileStatus() *FileStatus

func (*RagFile) GetGcsSource 

func (x *RagFile) GetGcsSource() *GcsSource

func (*RagFile) GetGoogleDriveSource 

func (x *RagFile) GetGoogleDriveSource() *GoogleDriveSource

func (*RagFile) GetJiraSource 

func (x *RagFile) GetJiraSource() *JiraSource

func (*RagFile) GetName 

func (x *RagFile) GetName() string

func (*RagFile) GetRagFileSource 

func (m *RagFile) GetRagFileSource() isRagFile_RagFileSource

func (*RagFile) GetSharePointSources 

func (x *RagFile) GetSharePointSources() *SharePointSources

func (*RagFile) GetSlackSource 

func (x *RagFile) GetSlackSource() *SlackSource

func (*RagFile) GetUpdateTime 

func (x *RagFile) GetUpdateTime() *timestamppb.Timestamp

func (*RagFile) ProtoMessage 

func (*RagFile) ProtoMessage()

func (*RagFile) ProtoReflect 

func (x *RagFile) ProtoReflect() protoreflect.Message

func (*RagFile) Reset 

func (x *RagFile) Reset()

func (*RagFile) String 

func (x *RagFile) String() string

type RagFileChunkingConfig 

type RagFileChunkingConfig struct {

	// Specifies the chunking config for RagFiles.
	//
	// Types that are assignable to ChunkingConfig:
	//
	//	*RagFileChunkingConfig_FixedLengthChunking_
	ChunkingConfig isRagFileChunkingConfig_ChunkingConfig `protobuf_oneof:"chunking_config"`
	// contains filtered or unexported fields
}

Specifies the size and overlap of chunks for RagFiles.

func (*RagFileChunkingConfig) Descriptor 

func (*RagFileChunkingConfig) Descriptor() ([]byte, []int)

Deprecated: Use RagFileChunkingConfig.ProtoReflect.Descriptor instead.

func (*RagFileChunkingConfig) GetChunkingConfig 

func (m *RagFileChunkingConfig) GetChunkingConfig() isRagFileChunkingConfig_ChunkingConfig

func (*RagFileChunkingConfig) GetFixedLengthChunking 

func (x *RagFileChunkingConfig) GetFixedLengthChunking() *RagFileChunkingConfig_FixedLengthChunking

func (*RagFileChunkingConfig) ProtoMessage 

func (*RagFileChunkingConfig) ProtoMessage()

func (*RagFileChunkingConfig) ProtoReflect 

func (x *RagFileChunkingConfig) ProtoReflect() protoreflect.Message

func (*RagFileChunkingConfig) Reset 

func (x *RagFileChunkingConfig) Reset()

func (*RagFileChunkingConfig) String 

func (x *RagFileChunkingConfig) String() string

type RagFileChunkingConfig_FixedLengthChunking 

type RagFileChunkingConfig_FixedLengthChunking struct {

	// The size of the chunks.
	ChunkSize int32 `protobuf:"varint,1,opt,name=chunk_size,json=chunkSize,proto3" json:"chunk_size,omitempty"`
	// The overlap between chunks.
	ChunkOverlap int32 `protobuf:"varint,2,opt,name=chunk_overlap,json=chunkOverlap,proto3" json:"chunk_overlap,omitempty"`
	// contains filtered or unexported fields
}

Specifies the fixed length chunking config.

func (*RagFileChunkingConfig_FixedLengthChunking) Descriptor 

func (*RagFileChunkingConfig_FixedLengthChunking) Descriptor() ([]byte, []int)

Deprecated: Use RagFileChunkingConfig_FixedLengthChunking.ProtoReflect.Descriptor instead.

func (*RagFileChunkingConfig_FixedLengthChunking) GetChunkOverlap 

func (x *RagFileChunkingConfig_FixedLengthChunking) GetChunkOverlap() int32

func (*RagFileChunkingConfig_FixedLengthChunking) GetChunkSize 

func (x *RagFileChunkingConfig_FixedLengthChunking) GetChunkSize() int32

func (*RagFileChunkingConfig_FixedLengthChunking) ProtoMessage 

func (*RagFileChunkingConfig_FixedLengthChunking) ProtoMessage()

func (*RagFileChunkingConfig_FixedLengthChunking) ProtoReflect 

func (x *RagFileChunkingConfig_FixedLengthChunking) ProtoReflect() protoreflect.Message

func (*RagFileChunkingConfig_FixedLengthChunking) Reset 

func (x *RagFileChunkingConfig_FixedLengthChunking) Reset()

func (*RagFileChunkingConfig_FixedLengthChunking) String 

func (x *RagFileChunkingConfig_FixedLengthChunking) String() string

type RagFileChunkingConfig_FixedLengthChunking_ 

type RagFileChunkingConfig_FixedLengthChunking_ struct {
	// Specifies the fixed length chunking config.
	FixedLengthChunking *RagFileChunkingConfig_FixedLengthChunking `protobuf:"bytes,3,opt,name=fixed_length_chunking,json=fixedLengthChunking,proto3,oneof"`
}

type RagFileTransformationConfig 

type RagFileTransformationConfig struct {

	// Specifies the chunking config for RagFiles.
	RagFileChunkingConfig *RagFileChunkingConfig `protobuf:"bytes,1,opt,name=rag_file_chunking_config,json=ragFileChunkingConfig,proto3" json:"rag_file_chunking_config,omitempty"`
	// contains filtered or unexported fields
}

Specifies the transformation config for RagFiles.

func (*RagFileTransformationConfig) Descriptor 

func (*RagFileTransformationConfig) Descriptor() ([]byte, []int)

Deprecated: Use RagFileTransformationConfig.ProtoReflect.Descriptor instead.

func (*RagFileTransformationConfig) GetRagFileChunkingConfig 

func (x *RagFileTransformationConfig) GetRagFileChunkingConfig() *RagFileChunkingConfig

func (*RagFileTransformationConfig) ProtoMessage 

func (*RagFileTransformationConfig) ProtoMessage()

func (*RagFileTransformationConfig) ProtoReflect 

func (x *RagFileTransformationConfig) ProtoReflect() protoreflect.Message

func (*RagFileTransformationConfig) Reset 

func (x *RagFileTransformationConfig) Reset()

func (*RagFileTransformationConfig) String 

func (x *RagFileTransformationConfig) String() string

type RagFile_DirectUploadSource 

type RagFile_DirectUploadSource struct {
	// Output only. The RagFile is encapsulated and uploaded in the
	// UploadRagFile request.
	DirectUploadSource *DirectUploadSource `protobuf:"bytes,10,opt,name=direct_upload_source,json=directUploadSource,proto3,oneof"`
}

type RagFile_GcsSource 

type RagFile_GcsSource struct {
	// Output only. Google Cloud Storage location of the RagFile.
	// It does not support wildcards in the Cloud Storage uri for now.
	GcsSource *GcsSource `protobuf:"bytes,8,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

type RagFile_GoogleDriveSource 

type RagFile_GoogleDriveSource struct {
	// Output only. Google Drive location. Supports importing individual files
	// as well as Google Drive folders.
	GoogleDriveSource *GoogleDriveSource `protobuf:"bytes,9,opt,name=google_drive_source,json=googleDriveSource,proto3,oneof"`
}

type RagFile_JiraSource 

type RagFile_JiraSource struct {
	// The RagFile is imported from a Jira query.
	JiraSource *JiraSource `protobuf:"bytes,12,opt,name=jira_source,json=jiraSource,proto3,oneof"`
}

type RagFile_SharePointSources 

type RagFile_SharePointSources struct {
	// The RagFile is imported from a SharePoint source.
	SharePointSources *SharePointSources `protobuf:"bytes,14,opt,name=share_point_sources,json=sharePointSources,proto3,oneof"`
}

type RagFile_SlackSource 

type RagFile_SlackSource struct {
	// The RagFile is imported from a Slack channel.
	SlackSource *SlackSource `protobuf:"bytes,11,opt,name=slack_source,json=slackSource,proto3,oneof"`
}

type RagQuery 

type RagQuery struct {

	// The query to retrieve contexts.
	// Currently only text query is supported.
	//
	// Types that are assignable to Query:
	//
	//	*RagQuery_Text
	Query isRagQuery_Query `protobuf_oneof:"query"`
	// Optional. The retrieval config for the query.
	RagRetrievalConfig *RagRetrievalConfig `protobuf:"bytes,6,opt,name=rag_retrieval_config,json=ragRetrievalConfig,proto3" json:"rag_retrieval_config,omitempty"`
	// contains filtered or unexported fields
}

A query to retrieve relevant contexts.

func (*RagQuery) Descriptor 

func (*RagQuery) Descriptor() ([]byte, []int)

Deprecated: Use RagQuery.ProtoReflect.Descriptor instead.

func (*RagQuery) GetQuery 

func (m *RagQuery) GetQuery() isRagQuery_Query

func (*RagQuery) GetRagRetrievalConfig 

func (x *RagQuery) GetRagRetrievalConfig() *RagRetrievalConfig

func (*RagQuery) GetText 

func (x *RagQuery) GetText() string

func (*RagQuery) ProtoMessage 

func (*RagQuery) ProtoMessage()

func (*RagQuery) ProtoReflect 

func (x *RagQuery) ProtoReflect() protoreflect.Message

func (*RagQuery) Reset 

func (x *RagQuery) Reset()

func (*RagQuery) String 

func (x *RagQuery) String() string

type RagQuery_Text 

type RagQuery_Text struct {
	// Optional. The query in text format to get relevant contexts.
	Text string `protobuf:"bytes,1,opt,name=text,proto3,oneof"`
}

type RagRetrievalConfig 

type RagRetrievalConfig struct {

	// Optional. The number of contexts to retrieve.
	TopK int32 `protobuf:"varint,1,opt,name=top_k,json=topK,proto3" json:"top_k,omitempty"`
	// Optional. Config for filters.
	Filter *RagRetrievalConfig_Filter `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Specifies the context retrieval config.

func (*RagRetrievalConfig) Descriptor 

func (*RagRetrievalConfig) Descriptor() ([]byte, []int)

Deprecated: Use RagRetrievalConfig.ProtoReflect.Descriptor instead.

func (*RagRetrievalConfig) GetFilter 

func (x *RagRetrievalConfig) GetFilter() *RagRetrievalConfig_Filter

func (*RagRetrievalConfig) GetTopK 

func (x *RagRetrievalConfig) GetTopK() int32

func (*RagRetrievalConfig) ProtoMessage 

func (*RagRetrievalConfig) ProtoMessage()

func (*RagRetrievalConfig) ProtoReflect 

func (x *RagRetrievalConfig) ProtoReflect() protoreflect.Message

func (*RagRetrievalConfig) Reset 

func (x *RagRetrievalConfig) Reset()

func (*RagRetrievalConfig) String 

func (x *RagRetrievalConfig) String() string

type RagRetrievalConfig_Filter 

type RagRetrievalConfig_Filter struct {

	// Filter contexts retrieved from the vector DB based on either vector
	// distance or vector similarity.
	//
	// Types that are assignable to VectorDbThreshold:
	//
	//	*RagRetrievalConfig_Filter_VectorDistanceThreshold
	//	*RagRetrievalConfig_Filter_VectorSimilarityThreshold
	VectorDbThreshold isRagRetrievalConfig_Filter_VectorDbThreshold `protobuf_oneof:"vector_db_threshold"`
	// Optional. String for metadata filtering.
	MetadataFilter string `protobuf:"bytes,2,opt,name=metadata_filter,json=metadataFilter,proto3" json:"metadata_filter,omitempty"`
	// contains filtered or unexported fields
}

Config for filters.

func (*RagRetrievalConfig_Filter) Descriptor 

func (*RagRetrievalConfig_Filter) Descriptor() ([]byte, []int)

Deprecated: Use RagRetrievalConfig_Filter.ProtoReflect.Descriptor instead.

func (*RagRetrievalConfig_Filter) GetMetadataFilter 

func (x *RagRetrievalConfig_Filter) GetMetadataFilter() string

func (*RagRetrievalConfig_Filter) GetVectorDbThreshold 

func (m *RagRetrievalConfig_Filter) GetVectorDbThreshold() isRagRetrievalConfig_Filter_VectorDbThreshold

func (*RagRetrievalConfig_Filter) GetVectorDistanceThreshold 

func (x *RagRetrievalConfig_Filter) GetVectorDistanceThreshold() float64

func (*RagRetrievalConfig_Filter) GetVectorSimilarityThreshold 

func (x *RagRetrievalConfig_Filter) GetVectorSimilarityThreshold() float64

func (*RagRetrievalConfig_Filter) ProtoMessage 

func (*RagRetrievalConfig_Filter) ProtoMessage()

func (*RagRetrievalConfig_Filter) ProtoReflect 

func (x *RagRetrievalConfig_Filter) ProtoReflect() protoreflect.Message

func (*RagRetrievalConfig_Filter) Reset 

func (x *RagRetrievalConfig_Filter) Reset()

func (*RagRetrievalConfig_Filter) String 

func (x *RagRetrievalConfig_Filter) String() string

type RagRetrievalConfig_Filter_VectorDistanceThreshold 

type RagRetrievalConfig_Filter_VectorDistanceThreshold struct {
	// Optional. Only returns contexts with vector distance smaller than the
	// threshold.
	VectorDistanceThreshold float64 `protobuf:"fixed64,3,opt,name=vector_distance_threshold,json=vectorDistanceThreshold,proto3,oneof"`
}

type RagRetrievalConfig_Filter_VectorSimilarityThreshold 

type RagRetrievalConfig_Filter_VectorSimilarityThreshold struct {
	// Optional. Only returns contexts with vector similarity larger than the
	// threshold.
	VectorSimilarityThreshold float64 `protobuf:"fixed64,4,opt,name=vector_similarity_threshold,json=vectorSimilarityThreshold,proto3,oneof"`
}

type RagVectorDbConfig 

type RagVectorDbConfig struct {

	// The config for the Vector DB.
	//
	// Types that are assignable to VectorDb:
	//
	//	*RagVectorDbConfig_RagManagedDb_
	//	*RagVectorDbConfig_Pinecone_
	//	*RagVectorDbConfig_VertexVectorSearch_
	VectorDb isRagVectorDbConfig_VectorDb `protobuf_oneof:"vector_db"`
	// Authentication config for the chosen Vector DB.
	ApiAuth *ApiAuth `protobuf:"bytes,5,opt,name=api_auth,json=apiAuth,proto3" json:"api_auth,omitempty"`
	// Optional. Immutable. The embedding model config of the Vector DB.
	RagEmbeddingModelConfig *RagEmbeddingModelConfig `protobuf:"bytes,7,opt,name=rag_embedding_model_config,json=ragEmbeddingModelConfig,proto3" json:"rag_embedding_model_config,omitempty"`
	// contains filtered or unexported fields
}

Config for the Vector DB to use for RAG.

func (*RagVectorDbConfig) Descriptor 

func (*RagVectorDbConfig) Descriptor() ([]byte, []int)

Deprecated: Use RagVectorDbConfig.ProtoReflect.Descriptor instead.

func (*RagVectorDbConfig) GetApiAuth 

func (x *RagVectorDbConfig) GetApiAuth() *ApiAuth

func (*RagVectorDbConfig) GetPinecone 

func (x *RagVectorDbConfig) GetPinecone() *RagVectorDbConfig_Pinecone

func (*RagVectorDbConfig) GetRagEmbeddingModelConfig 

func (x *RagVectorDbConfig) GetRagEmbeddingModelConfig() *RagEmbeddingModelConfig

func (*RagVectorDbConfig) GetRagManagedDb 

func (x *RagVectorDbConfig) GetRagManagedDb() *RagVectorDbConfig_RagManagedDb

func (*RagVectorDbConfig) GetVectorDb 

func (m *RagVectorDbConfig) GetVectorDb() isRagVectorDbConfig_VectorDb

func (*RagVectorDbConfig) GetVertexVectorSearch 

func (x *RagVectorDbConfig) GetVertexVectorSearch() *RagVectorDbConfig_VertexVectorSearch

func (*RagVectorDbConfig) ProtoMessage 

func (*RagVectorDbConfig) ProtoMessage()

func (*RagVectorDbConfig) ProtoReflect 

func (x *RagVectorDbConfig) ProtoReflect() protoreflect.Message

func (*RagVectorDbConfig) Reset 

func (x *RagVectorDbConfig) Reset()

func (*RagVectorDbConfig) String 

func (x *RagVectorDbConfig) String() string

type RagVectorDbConfig_Pinecone 

type RagVectorDbConfig_Pinecone struct {

	// Pinecone index name.
	// This value cannot be changed after it's set.
	IndexName string `protobuf:"bytes,1,opt,name=index_name,json=indexName,proto3" json:"index_name,omitempty"`
	// contains filtered or unexported fields
}

The config for the Pinecone.

func (*RagVectorDbConfig_Pinecone) Descriptor 

func (*RagVectorDbConfig_Pinecone) Descriptor() ([]byte, []int)

Deprecated: Use RagVectorDbConfig_Pinecone.ProtoReflect.Descriptor instead.

func (*RagVectorDbConfig_Pinecone) GetIndexName 

func (x *RagVectorDbConfig_Pinecone) GetIndexName() string

func (*RagVectorDbConfig_Pinecone) ProtoMessage 

func (*RagVectorDbConfig_Pinecone) ProtoMessage()

func (*RagVectorDbConfig_Pinecone) ProtoReflect 

func (x *RagVectorDbConfig_Pinecone) ProtoReflect() protoreflect.Message

func (*RagVectorDbConfig_Pinecone) Reset 

func (x *RagVectorDbConfig_Pinecone) Reset()

func (*RagVectorDbConfig_Pinecone) String 

func (x *RagVectorDbConfig_Pinecone) String() string

type RagVectorDbConfig_Pinecone_ 

type RagVectorDbConfig_Pinecone_ struct {
	// The config for the Pinecone.
	Pinecone *RagVectorDbConfig_Pinecone `protobuf:"bytes,3,opt,name=pinecone,proto3,oneof"`
}

type RagVectorDbConfig_RagManagedDb 

type RagVectorDbConfig_RagManagedDb struct {
	// contains filtered or unexported fields
}

The config for the default RAG-managed Vector DB.

func (*RagVectorDbConfig_RagManagedDb) Descriptor 

func (*RagVectorDbConfig_RagManagedDb) Descriptor() ([]byte, []int)

Deprecated: Use RagVectorDbConfig_RagManagedDb.ProtoReflect.Descriptor instead.

func (*RagVectorDbConfig_RagManagedDb) ProtoMessage 

func (*RagVectorDbConfig_RagManagedDb) ProtoMessage()

func (*RagVectorDbConfig_RagManagedDb) ProtoReflect 

func (x *RagVectorDbConfig_RagManagedDb) ProtoReflect() protoreflect.Message

func (*RagVectorDbConfig_RagManagedDb) Reset 

func (x *RagVectorDbConfig_RagManagedDb) Reset()

func (*RagVectorDbConfig_RagManagedDb) String 

func (x *RagVectorDbConfig_RagManagedDb) String() string

type RagVectorDbConfig_RagManagedDb_ 

type RagVectorDbConfig_RagManagedDb_ struct {
	// The config for the RAG-managed Vector DB.
	RagManagedDb *RagVectorDbConfig_RagManagedDb `protobuf:"bytes,1,opt,name=rag_managed_db,json=ragManagedDb,proto3,oneof"`
}

type RagVectorDbConfig_VertexVectorSearch 

type RagVectorDbConfig_VertexVectorSearch struct {

	// The resource name of the Index Endpoint.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// The resource name of the Index.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Index string `protobuf:"bytes,2,opt,name=index,proto3" json:"index,omitempty"`
	// contains filtered or unexported fields
}

The config for the Vertex Vector Search.

func (*RagVectorDbConfig_VertexVectorSearch) Descriptor 

func (*RagVectorDbConfig_VertexVectorSearch) Descriptor() ([]byte, []int)

Deprecated: Use RagVectorDbConfig_VertexVectorSearch.ProtoReflect.Descriptor instead.

func (*RagVectorDbConfig_VertexVectorSearch) GetIndex 

func (x *RagVectorDbConfig_VertexVectorSearch) GetIndex() string

func (*RagVectorDbConfig_VertexVectorSearch) GetIndexEndpoint 

func (x *RagVectorDbConfig_VertexVectorSearch) GetIndexEndpoint() string

func (*RagVectorDbConfig_VertexVectorSearch) ProtoMessage 

func (*RagVectorDbConfig_VertexVectorSearch) ProtoMessage()

func (*RagVectorDbConfig_VertexVectorSearch) ProtoReflect 

func (x *RagVectorDbConfig_VertexVectorSearch) ProtoReflect() protoreflect.Message

func (*RagVectorDbConfig_VertexVectorSearch) Reset 

func (x *RagVectorDbConfig_VertexVectorSearch) Reset()

func (*RagVectorDbConfig_VertexVectorSearch) String 

func (x *RagVectorDbConfig_VertexVectorSearch) String() string

type RagVectorDbConfig_VertexVectorSearch_ 

type RagVectorDbConfig_VertexVectorSearch_ struct {
	// The config for the Vertex Vector Search.
	VertexVectorSearch *RagVectorDbConfig_VertexVectorSearch `protobuf:"bytes,6,opt,name=vertex_vector_search,json=vertexVectorSearch,proto3,oneof"`
}

type RawPredictRequest 

type RawPredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// The prediction input. Supports HTTP headers and arbitrary data payload.
	//
	// A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
	// upper limit on the number of instances it supports per request. When this
	// limit it is exceeded for an AutoML model, the
	// [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
	// method returns an error. When this limit is exceeded for a custom-trained
	// model, the behavior varies depending on the model.
	//
	// You can specify the schema for each instance in the
	// [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
	// field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
	// schema applies when you deploy the `Model` as a `DeployedModel` to an
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
	// method.
	HttpBody *httpbody.HttpBody `protobuf:"bytes,2,opt,name=http_body,json=httpBody,proto3" json:"http_body,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].

func (*RawPredictRequest) Descriptor 

func (*RawPredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use RawPredictRequest.ProtoReflect.Descriptor instead.

func (*RawPredictRequest) GetEndpoint 

func (x *RawPredictRequest) GetEndpoint() string

func (*RawPredictRequest) GetHttpBody 

func (x *RawPredictRequest) GetHttpBody() *httpbody.HttpBody

func (*RawPredictRequest) ProtoMessage 

func (*RawPredictRequest) ProtoMessage()

func (*RawPredictRequest) ProtoReflect 

func (x *RawPredictRequest) ProtoReflect() protoreflect.Message

func (*RawPredictRequest) Reset 

func (x *RawPredictRequest) Reset()

func (*RawPredictRequest) String 

func (x *RawPredictRequest) String() string

type RayLogsSpec 

type RayLogsSpec struct {

	// Optional. Flag to disable the export of Ray OSS logs to Cloud Logging.
	Disabled bool `protobuf:"varint,1,opt,name=disabled,proto3" json:"disabled,omitempty"`
	// contains filtered or unexported fields
}

Configuration for the Ray OSS Logs.

func (*RayLogsSpec) Descriptor 

func (*RayLogsSpec) Descriptor() ([]byte, []int)

Deprecated: Use RayLogsSpec.ProtoReflect.Descriptor instead.

func (*RayLogsSpec) GetDisabled 

func (x *RayLogsSpec) GetDisabled() bool

func (*RayLogsSpec) ProtoMessage 

func (*RayLogsSpec) ProtoMessage()

func (*RayLogsSpec) ProtoReflect 

func (x *RayLogsSpec) ProtoReflect() protoreflect.Message

func (*RayLogsSpec) Reset 

func (x *RayLogsSpec) Reset()

func (*RayLogsSpec) String 

func (x *RayLogsSpec) String() string

type RayMetricSpec 

type RayMetricSpec struct {

	// Optional. Flag to disable the Ray metrics collection.
	Disabled bool `protobuf:"varint,1,opt,name=disabled,proto3" json:"disabled,omitempty"`
	// contains filtered or unexported fields
}

Configuration for the Ray metrics.

func (*RayMetricSpec) Descriptor 

func (*RayMetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use RayMetricSpec.ProtoReflect.Descriptor instead.

func (*RayMetricSpec) GetDisabled 

func (x *RayMetricSpec) GetDisabled() bool

func (*RayMetricSpec) ProtoMessage 

func (*RayMetricSpec) ProtoMessage()

func (*RayMetricSpec) ProtoReflect 

func (x *RayMetricSpec) ProtoReflect() protoreflect.Message

func (*RayMetricSpec) Reset 

func (x *RayMetricSpec) Reset()

func (*RayMetricSpec) String 

func (x *RayMetricSpec) String() string

type RaySpec 

type RaySpec struct {

	// Optional. Default image for user to choose a preferred ML framework
	// (for example, TensorFlow or Pytorch) by choosing from [Vertex prebuilt
	// images](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
	// Either this or the resource_pool_images is required. Use this field if
	// you need all the resource pools to have the same Ray image. Otherwise, use
	// the {@code resource_pool_images} field.
	ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"`
	// Optional. Required if image_uri isn't set. A map of resource_pool_id to
	// prebuild Ray image if user need to use different images for different
	// head/worker pools. This map needs to cover all the resource pool ids.
	// Example:
	//
	//	{
	//	  "ray_head_node_pool": "head image"
	//	  "ray_worker_node_pool1": "worker image"
	//	  "ray_worker_node_pool2": "another worker image"
	//	}
	ResourcePoolImages map[string]string `protobuf:"bytes,6,rep,name=resource_pool_images,json=resourcePoolImages,proto3" json:"resource_pool_images,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Optional. This will be used to indicate which resource pool will serve as
	// the Ray head node(the first node within that pool). Will use the machine
	// from the first workerpool as the head node by default if this field isn't
	// set.
	HeadNodeResourcePoolId string `protobuf:"bytes,7,opt,name=head_node_resource_pool_id,json=headNodeResourcePoolId,proto3" json:"head_node_resource_pool_id,omitempty"`
	// Optional. Ray metrics configurations.
	RayMetricSpec *RayMetricSpec `protobuf:"bytes,8,opt,name=ray_metric_spec,json=rayMetricSpec,proto3" json:"ray_metric_spec,omitempty"`
	// Optional. OSS Ray logging configurations.
	RayLogsSpec *RayLogsSpec `protobuf:"bytes,10,opt,name=ray_logs_spec,json=rayLogsSpec,proto3" json:"ray_logs_spec,omitempty"`
	// contains filtered or unexported fields
}

Configuration information for the Ray cluster. For experimental launch, Ray cluster creation and Persistent cluster creation are 1:1 mapping: We will provision all the nodes within the Persistent cluster as Ray nodes.

func (*RaySpec) Descriptor 

func (*RaySpec) Descriptor() ([]byte, []int)

Deprecated: Use RaySpec.ProtoReflect.Descriptor instead.

func (*RaySpec) GetHeadNodeResourcePoolId 

func (x *RaySpec) GetHeadNodeResourcePoolId() string

func (*RaySpec) GetImageUri 

func (x *RaySpec) GetImageUri() string

func (*RaySpec) GetRayLogsSpec 

func (x *RaySpec) GetRayLogsSpec() *RayLogsSpec

func (*RaySpec) GetRayMetricSpec 

func (x *RaySpec) GetRayMetricSpec() *RayMetricSpec

func (*RaySpec) GetResourcePoolImages 

func (x *RaySpec) GetResourcePoolImages() map[string]string

func (*RaySpec) ProtoMessage 

func (*RaySpec) ProtoMessage()

func (*RaySpec) ProtoReflect 

func (x *RaySpec) ProtoReflect() protoreflect.Message

func (*RaySpec) Reset 

func (x *RaySpec) Reset()

func (*RaySpec) String 

func (x *RaySpec) String() string

type ReadFeatureValuesRequest 

type ReadFeatureValuesRequest struct {

	// Required. The resource name of the EntityType for the entity being read.
	// Value format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
	// For example, for a machine learning model predicting user clicks on a
	// website, an EntityType ID could be `user`.
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. ID for a specific entity. For example,
	// for a machine learning model predicting user clicks on a website, an entity
	// ID could be `user_123`.
	EntityId string `protobuf:"bytes,2,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
	// Required. Selector choosing Features of the target EntityType.
	FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].

func (*ReadFeatureValuesRequest) Descriptor 

func (*ReadFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesRequest) GetEntityId 

func (x *ReadFeatureValuesRequest) GetEntityId() string

func (*ReadFeatureValuesRequest) GetEntityType 

func (x *ReadFeatureValuesRequest) GetEntityType() string

func (*ReadFeatureValuesRequest) GetFeatureSelector 

func (x *ReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector

func (*ReadFeatureValuesRequest) ProtoMessage 

func (*ReadFeatureValuesRequest) ProtoMessage()

func (*ReadFeatureValuesRequest) ProtoReflect 

func (x *ReadFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesRequest) Reset 

func (x *ReadFeatureValuesRequest) Reset()

func (*ReadFeatureValuesRequest) String 

func (x *ReadFeatureValuesRequest) String() string

type ReadFeatureValuesResponse 

type ReadFeatureValuesResponse struct {

	// Response header.
	Header *ReadFeatureValuesResponse_Header `protobuf:"bytes,1,opt,name=header,proto3" json:"header,omitempty"`
	// Entity view with Feature values. This may be the entity in the
	// Featurestore if values for all Features were requested, or a projection
	// of the entity in the Featurestore if values for only some Features were
	// requested.
	EntityView *ReadFeatureValuesResponse_EntityView `protobuf:"bytes,2,opt,name=entity_view,json=entityView,proto3" json:"entity_view,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].

func (*ReadFeatureValuesResponse) Descriptor 

func (*ReadFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse) GetEntityView 

func (x *ReadFeatureValuesResponse) GetEntityView() *ReadFeatureValuesResponse_EntityView

func (*ReadFeatureValuesResponse) GetHeader 

func (x *ReadFeatureValuesResponse) GetHeader() *ReadFeatureValuesResponse_Header

func (*ReadFeatureValuesResponse) ProtoMessage 

func (*ReadFeatureValuesResponse) ProtoMessage()

func (*ReadFeatureValuesResponse) ProtoReflect 

func (x *ReadFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse) Reset 

func (x *ReadFeatureValuesResponse) Reset()

func (*ReadFeatureValuesResponse) String 

func (x *ReadFeatureValuesResponse) String() string

type ReadFeatureValuesResponse_EntityView 

type ReadFeatureValuesResponse_EntityView struct {

	// ID of the requested entity.
	EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
	// Each piece of data holds the k
	// requested values for one requested Feature. If no values
	// for the requested Feature exist, the corresponding cell will be empty.
	// This has the same size and is in the same order as the features from the
	// header
	// [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
	Data []*ReadFeatureValuesResponse_EntityView_Data `protobuf:"bytes,2,rep,name=data,proto3" json:"data,omitempty"`
	// contains filtered or unexported fields
}

Entity view with Feature values.

func (*ReadFeatureValuesResponse_EntityView) Descriptor 

func (*ReadFeatureValuesResponse_EntityView) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_EntityView.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_EntityView) GetData 

func (x *ReadFeatureValuesResponse_EntityView) GetData() []*ReadFeatureValuesResponse_EntityView_Data

func (*ReadFeatureValuesResponse_EntityView) GetEntityId 

func (x *ReadFeatureValuesResponse_EntityView) GetEntityId() string

func (*ReadFeatureValuesResponse_EntityView) ProtoMessage 

func (*ReadFeatureValuesResponse_EntityView) ProtoMessage()

func (*ReadFeatureValuesResponse_EntityView) ProtoReflect 

func (x *ReadFeatureValuesResponse_EntityView) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_EntityView) Reset 

func (x *ReadFeatureValuesResponse_EntityView) Reset()

func (*ReadFeatureValuesResponse_EntityView) String 

func (x *ReadFeatureValuesResponse_EntityView) String() string

type ReadFeatureValuesResponse_EntityView_Data 

type ReadFeatureValuesResponse_EntityView_Data struct {

	// Types that are assignable to Data:
	//
	//	*ReadFeatureValuesResponse_EntityView_Data_Value
	//	*ReadFeatureValuesResponse_EntityView_Data_Values
	Data isReadFeatureValuesResponse_EntityView_Data_Data `protobuf_oneof:"data"`
	// contains filtered or unexported fields
}

Container to hold value(s), successive in time, for one Feature from the request.

func (*ReadFeatureValuesResponse_EntityView_Data) Descriptor 

func (*ReadFeatureValuesResponse_EntityView_Data) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_EntityView_Data.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_EntityView_Data) GetData 

func (m *ReadFeatureValuesResponse_EntityView_Data) GetData() isReadFeatureValuesResponse_EntityView_Data_Data

func (*ReadFeatureValuesResponse_EntityView_Data) GetValue 

func (x *ReadFeatureValuesResponse_EntityView_Data) GetValue() *FeatureValue

func (*ReadFeatureValuesResponse_EntityView_Data) GetValues 

func (x *ReadFeatureValuesResponse_EntityView_Data) GetValues() *FeatureValueList

func (*ReadFeatureValuesResponse_EntityView_Data) ProtoMessage 

func (*ReadFeatureValuesResponse_EntityView_Data) ProtoMessage()

func (*ReadFeatureValuesResponse_EntityView_Data) ProtoReflect 

func (x *ReadFeatureValuesResponse_EntityView_Data) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_EntityView_Data) Reset 

func (x *ReadFeatureValuesResponse_EntityView_Data) Reset()

func (*ReadFeatureValuesResponse_EntityView_Data) String 

func (x *ReadFeatureValuesResponse_EntityView_Data) String() string

type ReadFeatureValuesResponse_EntityView_Data_Value 

type ReadFeatureValuesResponse_EntityView_Data_Value struct {
	// Feature value if a single value is requested.
	Value *FeatureValue `protobuf:"bytes,1,opt,name=value,proto3,oneof"`
}

type ReadFeatureValuesResponse_EntityView_Data_Values 

type ReadFeatureValuesResponse_EntityView_Data_Values struct {
	// Feature values list if values, successive in time, are requested.
	// If the requested number of values is greater than the number of
	// existing Feature values, nonexistent values are omitted instead of
	// being returned as empty.
	Values *FeatureValueList `protobuf:"bytes,2,opt,name=values,proto3,oneof"`
}

type ReadFeatureValuesResponse_FeatureDescriptor 

type ReadFeatureValuesResponse_FeatureDescriptor struct {

	// Feature ID.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// contains filtered or unexported fields
}

Metadata for requested Features.

func (*ReadFeatureValuesResponse_FeatureDescriptor) Descriptor 

func (*ReadFeatureValuesResponse_FeatureDescriptor) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_FeatureDescriptor.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_FeatureDescriptor) GetId 

func (x *ReadFeatureValuesResponse_FeatureDescriptor) GetId() string

func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoMessage 

func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoMessage()

func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoReflect 

func (x *ReadFeatureValuesResponse_FeatureDescriptor) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_FeatureDescriptor) Reset 

func (x *ReadFeatureValuesResponse_FeatureDescriptor) Reset()

func (*ReadFeatureValuesResponse_FeatureDescriptor) String 

func (x *ReadFeatureValuesResponse_FeatureDescriptor) String() string

type ReadFeatureValuesResponse_Header 

type ReadFeatureValuesResponse_Header struct {

	// The resource name of the EntityType from the
	// [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
	// Value format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// List of Feature metadata corresponding to each piece of
	// [ReadFeatureValuesResponse.EntityView.data][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.data].
	FeatureDescriptors []*ReadFeatureValuesResponse_FeatureDescriptor `protobuf:"bytes,2,rep,name=feature_descriptors,json=featureDescriptors,proto3" json:"feature_descriptors,omitempty"`
	// contains filtered or unexported fields
}

Response header with metadata for the requested [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type] and Features.

func (*ReadFeatureValuesResponse_Header) Descriptor 

func (*ReadFeatureValuesResponse_Header) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_Header.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_Header) GetEntityType 

func (x *ReadFeatureValuesResponse_Header) GetEntityType() string

func (*ReadFeatureValuesResponse_Header) GetFeatureDescriptors 

func (x *ReadFeatureValuesResponse_Header) GetFeatureDescriptors() []*ReadFeatureValuesResponse_FeatureDescriptor

func (*ReadFeatureValuesResponse_Header) ProtoMessage 

func (*ReadFeatureValuesResponse_Header) ProtoMessage()

func (*ReadFeatureValuesResponse_Header) ProtoReflect 

func (x *ReadFeatureValuesResponse_Header) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_Header) Reset 

func (x *ReadFeatureValuesResponse_Header) Reset()

func (*ReadFeatureValuesResponse_Header) String 

func (x *ReadFeatureValuesResponse_Header) String() string

type ReadIndexDatapointsRequest 

type ReadIndexDatapointsRequest struct {

	// Required. The name of the index endpoint.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// The ID of the DeployedIndex that will serve the request.
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// IDs of the datapoints to be searched for.
	Ids []string `protobuf:"bytes,3,rep,name=ids,proto3" json:"ids,omitempty"`
	// contains filtered or unexported fields
}

The request message for [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints].

func (*ReadIndexDatapointsRequest) Descriptor 

func (*ReadIndexDatapointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadIndexDatapointsRequest.ProtoReflect.Descriptor instead.

func (*ReadIndexDatapointsRequest) GetDeployedIndexId 

func (x *ReadIndexDatapointsRequest) GetDeployedIndexId() string

func (*ReadIndexDatapointsRequest) GetIds 

func (x *ReadIndexDatapointsRequest) GetIds() []string

func (*ReadIndexDatapointsRequest) GetIndexEndpoint 

func (x *ReadIndexDatapointsRequest) GetIndexEndpoint() string

func (*ReadIndexDatapointsRequest) ProtoMessage 

func (*ReadIndexDatapointsRequest) ProtoMessage()

func (*ReadIndexDatapointsRequest) ProtoReflect 

func (x *ReadIndexDatapointsRequest) ProtoReflect() protoreflect.Message

func (*ReadIndexDatapointsRequest) Reset 

func (x *ReadIndexDatapointsRequest) Reset()

func (*ReadIndexDatapointsRequest) String 

func (x *ReadIndexDatapointsRequest) String() string

type ReadIndexDatapointsResponse 

type ReadIndexDatapointsResponse struct {

	// The result list of datapoints.
	Datapoints []*IndexDatapoint `protobuf:"bytes,1,rep,name=datapoints,proto3" json:"datapoints,omitempty"`
	// contains filtered or unexported fields
}

The response message for [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints].

func (*ReadIndexDatapointsResponse) Descriptor 

func (*ReadIndexDatapointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadIndexDatapointsResponse.ProtoReflect.Descriptor instead.

func (*ReadIndexDatapointsResponse) GetDatapoints 

func (x *ReadIndexDatapointsResponse) GetDatapoints() []*IndexDatapoint

func (*ReadIndexDatapointsResponse) ProtoMessage 

func (*ReadIndexDatapointsResponse) ProtoMessage()

func (*ReadIndexDatapointsResponse) ProtoReflect 

func (x *ReadIndexDatapointsResponse) ProtoReflect() protoreflect.Message

func (*ReadIndexDatapointsResponse) Reset 

func (x *ReadIndexDatapointsResponse) Reset()

func (*ReadIndexDatapointsResponse) String 

func (x *ReadIndexDatapointsResponse) String() string

type ReadTensorboardBlobDataRequest 

type ReadTensorboardBlobDataRequest struct {

	// Required. The resource name of the TensorboardTimeSeries to list Blobs.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TimeSeries string `protobuf:"bytes,1,opt,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
	// IDs of the blobs to read.
	BlobIds []string `protobuf:"bytes,2,rep,name=blob_ids,json=blobIds,proto3" json:"blob_ids,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].

func (*ReadTensorboardBlobDataRequest) Descriptor 

func (*ReadTensorboardBlobDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardBlobDataRequest.ProtoReflect.Descriptor instead.

func (*ReadTensorboardBlobDataRequest) GetBlobIds 

func (x *ReadTensorboardBlobDataRequest) GetBlobIds() []string

func (*ReadTensorboardBlobDataRequest) GetTimeSeries 

func (x *ReadTensorboardBlobDataRequest) GetTimeSeries() string

func (*ReadTensorboardBlobDataRequest) ProtoMessage 

func (*ReadTensorboardBlobDataRequest) ProtoMessage()

func (*ReadTensorboardBlobDataRequest) ProtoReflect 

func (x *ReadTensorboardBlobDataRequest) ProtoReflect() protoreflect.Message

func (*ReadTensorboardBlobDataRequest) Reset 

func (x *ReadTensorboardBlobDataRequest) Reset()

func (*ReadTensorboardBlobDataRequest) String 

func (x *ReadTensorboardBlobDataRequest) String() string

type ReadTensorboardBlobDataResponse 

type ReadTensorboardBlobDataResponse struct {

	// Blob messages containing blob bytes.
	Blobs []*TensorboardBlob `protobuf:"bytes,1,rep,name=blobs,proto3" json:"blobs,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].

func (*ReadTensorboardBlobDataResponse) Descriptor 

func (*ReadTensorboardBlobDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardBlobDataResponse.ProtoReflect.Descriptor instead.

func (*ReadTensorboardBlobDataResponse) GetBlobs 

func (x *ReadTensorboardBlobDataResponse) GetBlobs() []*TensorboardBlob

func (*ReadTensorboardBlobDataResponse) ProtoMessage 

func (*ReadTensorboardBlobDataResponse) ProtoMessage()

func (*ReadTensorboardBlobDataResponse) ProtoReflect 

func (x *ReadTensorboardBlobDataResponse) ProtoReflect() protoreflect.Message

func (*ReadTensorboardBlobDataResponse) Reset 

func (x *ReadTensorboardBlobDataResponse) Reset()

func (*ReadTensorboardBlobDataResponse) String 

func (x *ReadTensorboardBlobDataResponse) String() string

type ReadTensorboardSizeRequest 

type ReadTensorboardSizeRequest struct {

	// Required. The name of the Tensorboard resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardSize].

func (*ReadTensorboardSizeRequest) Descriptor 

func (*ReadTensorboardSizeRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardSizeRequest.ProtoReflect.Descriptor instead.

func (*ReadTensorboardSizeRequest) GetTensorboard 

func (x *ReadTensorboardSizeRequest) GetTensorboard() string

func (*ReadTensorboardSizeRequest) ProtoMessage 

func (*ReadTensorboardSizeRequest) ProtoMessage()

func (*ReadTensorboardSizeRequest) ProtoReflect 

func (x *ReadTensorboardSizeRequest) ProtoReflect() protoreflect.Message

func (*ReadTensorboardSizeRequest) Reset 

func (x *ReadTensorboardSizeRequest) Reset()

func (*ReadTensorboardSizeRequest) String 

func (x *ReadTensorboardSizeRequest) String() string

type ReadTensorboardSizeResponse 

type ReadTensorboardSizeResponse struct {

	// Payload storage size for the TensorBoard
	StorageSizeByte int64 `protobuf:"varint,1,opt,name=storage_size_byte,json=storageSizeByte,proto3" json:"storage_size_byte,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardSize].

func (*ReadTensorboardSizeResponse) Descriptor 

func (*ReadTensorboardSizeResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardSizeResponse.ProtoReflect.Descriptor instead.

func (*ReadTensorboardSizeResponse) GetStorageSizeByte 

func (x *ReadTensorboardSizeResponse) GetStorageSizeByte() int64

func (*ReadTensorboardSizeResponse) ProtoMessage 

func (*ReadTensorboardSizeResponse) ProtoMessage()

func (*ReadTensorboardSizeResponse) ProtoReflect 

func (x *ReadTensorboardSizeResponse) ProtoReflect() protoreflect.Message

func (*ReadTensorboardSizeResponse) Reset 

func (x *ReadTensorboardSizeResponse) Reset()

func (*ReadTensorboardSizeResponse) String 

func (x *ReadTensorboardSizeResponse) String() string

type ReadTensorboardTimeSeriesDataRequest 

type ReadTensorboardTimeSeriesDataRequest struct {

	// Required. The resource name of the TensorboardTimeSeries to read data from.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TensorboardTimeSeries string `protobuf:"bytes,1,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// The maximum number of TensorboardTimeSeries' data to return.
	//
	// This value should be a positive integer.
	// This value can be set to -1 to return all data.
	MaxDataPoints int32 `protobuf:"varint,2,opt,name=max_data_points,json=maxDataPoints,proto3" json:"max_data_points,omitempty"`
	// Reads the TensorboardTimeSeries' data that match the filter expression.
	Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].

func (*ReadTensorboardTimeSeriesDataRequest) Descriptor 

func (*ReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.

func (*ReadTensorboardTimeSeriesDataRequest) GetFilter 

func (x *ReadTensorboardTimeSeriesDataRequest) GetFilter() string

func (*ReadTensorboardTimeSeriesDataRequest) GetMaxDataPoints 

func (x *ReadTensorboardTimeSeriesDataRequest) GetMaxDataPoints() int32

func (*ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries 

func (x *ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string

func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage 

func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage()

func (*ReadTensorboardTimeSeriesDataRequest) ProtoReflect 

func (x *ReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message

func (*ReadTensorboardTimeSeriesDataRequest) Reset 

func (x *ReadTensorboardTimeSeriesDataRequest) Reset()

func (*ReadTensorboardTimeSeriesDataRequest) String 

func (x *ReadTensorboardTimeSeriesDataRequest) String() string

type ReadTensorboardTimeSeriesDataResponse 

type ReadTensorboardTimeSeriesDataResponse struct {

	// The returned time series data.
	TimeSeriesData *TimeSeriesData `protobuf:"bytes,1,opt,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].

func (*ReadTensorboardTimeSeriesDataResponse) Descriptor 

func (*ReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.

func (*ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData 

func (x *ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() *TimeSeriesData

func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage 

func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage()

func (*ReadTensorboardTimeSeriesDataResponse) ProtoReflect 

func (x *ReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message

func (*ReadTensorboardTimeSeriesDataResponse) Reset 

func (x *ReadTensorboardTimeSeriesDataResponse) Reset()

func (*ReadTensorboardTimeSeriesDataResponse) String 

func (x *ReadTensorboardTimeSeriesDataResponse) String() string

type ReadTensorboardUsageRequest 

type ReadTensorboardUsageRequest struct {

	// Required. The name of the Tensorboard resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].

func (*ReadTensorboardUsageRequest) Descriptor 

func (*ReadTensorboardUsageRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardUsageRequest.ProtoReflect.Descriptor instead.

func (*ReadTensorboardUsageRequest) GetTensorboard 

func (x *ReadTensorboardUsageRequest) GetTensorboard() string

func (*ReadTensorboardUsageRequest) ProtoMessage 

func (*ReadTensorboardUsageRequest) ProtoMessage()

func (*ReadTensorboardUsageRequest) ProtoReflect 

func (x *ReadTensorboardUsageRequest) ProtoReflect() protoreflect.Message

func (*ReadTensorboardUsageRequest) Reset 

func (x *ReadTensorboardUsageRequest) Reset()

func (*ReadTensorboardUsageRequest) String 

func (x *ReadTensorboardUsageRequest) String() string

type ReadTensorboardUsageResponse 

type ReadTensorboardUsageResponse struct {

	// Maps year-month (YYYYMM) string to per month usage data.
	MonthlyUsageData map[string]*ReadTensorboardUsageResponse_PerMonthUsageData `protobuf:"bytes,1,rep,name=monthly_usage_data,json=monthlyUsageData,proto3" json:"monthly_usage_data,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].

func (*ReadTensorboardUsageResponse) Descriptor 

func (*ReadTensorboardUsageResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardUsageResponse.ProtoReflect.Descriptor instead.

func (*ReadTensorboardUsageResponse) GetMonthlyUsageData 

func (x *ReadTensorboardUsageResponse) GetMonthlyUsageData() map[string]*ReadTensorboardUsageResponse_PerMonthUsageData

func (*ReadTensorboardUsageResponse) ProtoMessage 

func (*ReadTensorboardUsageResponse) ProtoMessage()

func (*ReadTensorboardUsageResponse) ProtoReflect 

func (x *ReadTensorboardUsageResponse) ProtoReflect() protoreflect.Message

func (*ReadTensorboardUsageResponse) Reset 

func (x *ReadTensorboardUsageResponse) Reset()

func (*ReadTensorboardUsageResponse) String 

func (x *ReadTensorboardUsageResponse) String() string

type ReadTensorboardUsageResponse_PerMonthUsageData 

type ReadTensorboardUsageResponse_PerMonthUsageData struct {

	// Usage data for each user in the given month.
	UserUsageData []*ReadTensorboardUsageResponse_PerUserUsageData `protobuf:"bytes,1,rep,name=user_usage_data,json=userUsageData,proto3" json:"user_usage_data,omitempty"`
	// contains filtered or unexported fields
}

Per month usage data

func (*ReadTensorboardUsageResponse_PerMonthUsageData) Descriptor 

func (*ReadTensorboardUsageResponse_PerMonthUsageData) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardUsageResponse_PerMonthUsageData.ProtoReflect.Descriptor instead.

func (*ReadTensorboardUsageResponse_PerMonthUsageData) GetUserUsageData 

func (x *ReadTensorboardUsageResponse_PerMonthUsageData) GetUserUsageData() []*ReadTensorboardUsageResponse_PerUserUsageData

func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoMessage 

func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoMessage()

func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoReflect 

func (x *ReadTensorboardUsageResponse_PerMonthUsageData) ProtoReflect() protoreflect.Message

func (*ReadTensorboardUsageResponse_PerMonthUsageData) Reset 

func (x *ReadTensorboardUsageResponse_PerMonthUsageData) Reset()

func (*ReadTensorboardUsageResponse_PerMonthUsageData) String 

func (x *ReadTensorboardUsageResponse_PerMonthUsageData) String() string

type ReadTensorboardUsageResponse_PerUserUsageData 

type ReadTensorboardUsageResponse_PerUserUsageData struct {

	// User's username
	Username string `protobuf:"bytes,1,opt,name=username,proto3" json:"username,omitempty"`
	// Number of times the user has read data within the Tensorboard.
	ViewCount int64 `protobuf:"varint,2,opt,name=view_count,json=viewCount,proto3" json:"view_count,omitempty"`
	// contains filtered or unexported fields
}

Per user usage data.

func (*ReadTensorboardUsageResponse_PerUserUsageData) Descriptor 

func (*ReadTensorboardUsageResponse_PerUserUsageData) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardUsageResponse_PerUserUsageData.ProtoReflect.Descriptor instead.

func (*ReadTensorboardUsageResponse_PerUserUsageData) GetUsername 

func (x *ReadTensorboardUsageResponse_PerUserUsageData) GetUsername() string

func (*ReadTensorboardUsageResponse_PerUserUsageData) GetViewCount 

func (x *ReadTensorboardUsageResponse_PerUserUsageData) GetViewCount() int64

func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoMessage 

func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoMessage()

func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoReflect 

func (x *ReadTensorboardUsageResponse_PerUserUsageData) ProtoReflect() protoreflect.Message

func (*ReadTensorboardUsageResponse_PerUserUsageData) Reset 

func (x *ReadTensorboardUsageResponse_PerUserUsageData) Reset()

func (*ReadTensorboardUsageResponse_PerUserUsageData) String 

func (x *ReadTensorboardUsageResponse_PerUserUsageData) String() string

type ReasoningEngine 

type ReasoningEngine struct {

	// Identifier. The resource name of the ReasoningEngine.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the ReasoningEngine.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Optional. The description of the ReasoningEngine.
	Description string `protobuf:"bytes,7,opt,name=description,proto3" json:"description,omitempty"`
	// Required. Configurations of the ReasoningEngine
	Spec *ReasoningEngineSpec `protobuf:"bytes,3,opt,name=spec,proto3" json:"spec,omitempty"`
	// Output only. Timestamp when this ReasoningEngine was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this ReasoningEngine was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.

func (*ReasoningEngine) Descriptor 

func (*ReasoningEngine) Descriptor() ([]byte, []int)

Deprecated: Use ReasoningEngine.ProtoReflect.Descriptor instead.

func (*ReasoningEngine) GetCreateTime 

func (x *ReasoningEngine) GetCreateTime() *timestamppb.Timestamp

func (*ReasoningEngine) GetDescription 

func (x *ReasoningEngine) GetDescription() string

func (*ReasoningEngine) GetDisplayName 

func (x *ReasoningEngine) GetDisplayName() string

func (*ReasoningEngine) GetEtag 

func (x *ReasoningEngine) GetEtag() string

func (*ReasoningEngine) GetName 

func (x *ReasoningEngine) GetName() string

func (*ReasoningEngine) GetSpec 

func (x *ReasoningEngine) GetSpec() *ReasoningEngineSpec

func (*ReasoningEngine) GetUpdateTime 

func (x *ReasoningEngine) GetUpdateTime() *timestamppb.Timestamp

func (*ReasoningEngine) ProtoMessage 

func (*ReasoningEngine) ProtoMessage()

func (*ReasoningEngine) ProtoReflect 

func (x *ReasoningEngine) ProtoReflect() protoreflect.Message

func (*ReasoningEngine) Reset 

func (x *ReasoningEngine) Reset()

func (*ReasoningEngine) String 

func (x *ReasoningEngine) String() string

type ReasoningEngineExecutionServiceClient 

type ReasoningEngineExecutionServiceClient interface {
	// Queries using a reasoning engine.
	QueryReasoningEngine(ctx context.Context, in *QueryReasoningEngineRequest, opts ...grpc.CallOption) (*QueryReasoningEngineResponse, error)
	// Streams queries using a reasoning engine.
	StreamQueryReasoningEngine(ctx context.Context, in *StreamQueryReasoningEngineRequest, opts ...grpc.CallOption) (ReasoningEngineExecutionService_StreamQueryReasoningEngineClient, error)
}

ReasoningEngineExecutionServiceClient is the client API for ReasoningEngineExecutionService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewReasoningEngineExecutionServiceClient 

func NewReasoningEngineExecutionServiceClient(cc grpc.ClientConnInterface) ReasoningEngineExecutionServiceClient

type ReasoningEngineExecutionServiceServer 

type ReasoningEngineExecutionServiceServer interface {
	// Queries using a reasoning engine.
	QueryReasoningEngine(context.Context, *QueryReasoningEngineRequest) (*QueryReasoningEngineResponse, error)
	// Streams queries using a reasoning engine.
	StreamQueryReasoningEngine(*StreamQueryReasoningEngineRequest, ReasoningEngineExecutionService_StreamQueryReasoningEngineServer) error
}

ReasoningEngineExecutionServiceServer is the server API for ReasoningEngineExecutionService service.

type ReasoningEngineExecutionService_StreamQueryReasoningEngineClient 

type ReasoningEngineExecutionService_StreamQueryReasoningEngineClient interface {
	Recv() (*httpbody.HttpBody, error)
	grpc.ClientStream
}

type ReasoningEngineExecutionService_StreamQueryReasoningEngineServer 

type ReasoningEngineExecutionService_StreamQueryReasoningEngineServer interface {
	Send(*httpbody.HttpBody) error
	grpc.ServerStream
}

type ReasoningEngineServiceClient 

type ReasoningEngineServiceClient interface {
	// Creates a reasoning engine.
	CreateReasoningEngine(ctx context.Context, in *CreateReasoningEngineRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a reasoning engine.
	GetReasoningEngine(ctx context.Context, in *GetReasoningEngineRequest, opts ...grpc.CallOption) (*ReasoningEngine, error)
	// Lists reasoning engines in a location.
	ListReasoningEngines(ctx context.Context, in *ListReasoningEnginesRequest, opts ...grpc.CallOption) (*ListReasoningEnginesResponse, error)
	// Updates a reasoning engine.
	UpdateReasoningEngine(ctx context.Context, in *UpdateReasoningEngineRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a reasoning engine.
	DeleteReasoningEngine(ctx context.Context, in *DeleteReasoningEngineRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

ReasoningEngineServiceClient is the client API for ReasoningEngineService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewReasoningEngineServiceClient 

func NewReasoningEngineServiceClient(cc grpc.ClientConnInterface) ReasoningEngineServiceClient

type ReasoningEngineServiceServer 

type ReasoningEngineServiceServer interface {
	// Creates a reasoning engine.
	CreateReasoningEngine(context.Context, *CreateReasoningEngineRequest) (*longrunningpb.Operation, error)
	// Gets a reasoning engine.
	GetReasoningEngine(context.Context, *GetReasoningEngineRequest) (*ReasoningEngine, error)
	// Lists reasoning engines in a location.
	ListReasoningEngines(context.Context, *ListReasoningEnginesRequest) (*ListReasoningEnginesResponse, error)
	// Updates a reasoning engine.
	UpdateReasoningEngine(context.Context, *UpdateReasoningEngineRequest) (*longrunningpb.Operation, error)
	// Deletes a reasoning engine.
	DeleteReasoningEngine(context.Context, *DeleteReasoningEngineRequest) (*longrunningpb.Operation, error)
}

ReasoningEngineServiceServer is the server API for ReasoningEngineService service.

type ReasoningEngineSpec 

type ReasoningEngineSpec struct {

	// Required. User provided package spec of the ReasoningEngine.
	PackageSpec *ReasoningEngineSpec_PackageSpec `protobuf:"bytes,2,opt,name=package_spec,json=packageSpec,proto3" json:"package_spec,omitempty"`
	// Optional. Declarations for object class methods in OpenAPI specification
	// format.
	ClassMethods []*structpb.Struct `protobuf:"bytes,3,rep,name=class_methods,json=classMethods,proto3" json:"class_methods,omitempty"`
	// contains filtered or unexported fields
}

ReasoningEngine configurations

func (*ReasoningEngineSpec) Descriptor 

func (*ReasoningEngineSpec) Descriptor() ([]byte, []int)

Deprecated: Use ReasoningEngineSpec.ProtoReflect.Descriptor instead.

func (*ReasoningEngineSpec) GetClassMethods 

func (x *ReasoningEngineSpec) GetClassMethods() []*structpb.Struct

func (*ReasoningEngineSpec) GetPackageSpec 

func (x *ReasoningEngineSpec) GetPackageSpec() *ReasoningEngineSpec_PackageSpec

func (*ReasoningEngineSpec) ProtoMessage 

func (*ReasoningEngineSpec) ProtoMessage()

func (*ReasoningEngineSpec) ProtoReflect 

func (x *ReasoningEngineSpec) ProtoReflect() protoreflect.Message

func (*ReasoningEngineSpec) Reset 

func (x *ReasoningEngineSpec) Reset()

func (*ReasoningEngineSpec) String 

func (x *ReasoningEngineSpec) String() string

type ReasoningEngineSpec_PackageSpec 

type ReasoningEngineSpec_PackageSpec struct {

	// Optional. The Cloud Storage URI of the pickled python object.
	PickleObjectGcsUri string `protobuf:"bytes,1,opt,name=pickle_object_gcs_uri,json=pickleObjectGcsUri,proto3" json:"pickle_object_gcs_uri,omitempty"`
	// Optional. The Cloud Storage URI of the dependency files in tar.gz format.
	DependencyFilesGcsUri string `protobuf:"bytes,2,opt,name=dependency_files_gcs_uri,json=dependencyFilesGcsUri,proto3" json:"dependency_files_gcs_uri,omitempty"`
	// Optional. The Cloud Storage URI of the `requirements.txt` file
	RequirementsGcsUri string `protobuf:"bytes,3,opt,name=requirements_gcs_uri,json=requirementsGcsUri,proto3" json:"requirements_gcs_uri,omitempty"`
	// Optional. The Python version. Currently support 3.8, 3.9, 3.10, 3.11.
	// If not specified, default value is 3.10.
	PythonVersion string `protobuf:"bytes,4,opt,name=python_version,json=pythonVersion,proto3" json:"python_version,omitempty"`
	// contains filtered or unexported fields
}

User provided package spec like pickled object and package requirements.

func (*ReasoningEngineSpec_PackageSpec) Descriptor 

func (*ReasoningEngineSpec_PackageSpec) Descriptor() ([]byte, []int)

Deprecated: Use ReasoningEngineSpec_PackageSpec.ProtoReflect.Descriptor instead.

func (*ReasoningEngineSpec_PackageSpec) GetDependencyFilesGcsUri 

func (x *ReasoningEngineSpec_PackageSpec) GetDependencyFilesGcsUri() string

func (*ReasoningEngineSpec_PackageSpec) GetPickleObjectGcsUri 

func (x *ReasoningEngineSpec_PackageSpec) GetPickleObjectGcsUri() string

func (*ReasoningEngineSpec_PackageSpec) GetPythonVersion 

func (x *ReasoningEngineSpec_PackageSpec) GetPythonVersion() string

func (*ReasoningEngineSpec_PackageSpec) GetRequirementsGcsUri 

func (x *ReasoningEngineSpec_PackageSpec) GetRequirementsGcsUri() string

func (*ReasoningEngineSpec_PackageSpec) ProtoMessage 

func (*ReasoningEngineSpec_PackageSpec) ProtoMessage()

func (*ReasoningEngineSpec_PackageSpec) ProtoReflect 

func (x *ReasoningEngineSpec_PackageSpec) ProtoReflect() protoreflect.Message

func (*ReasoningEngineSpec_PackageSpec) Reset 

func (x *ReasoningEngineSpec_PackageSpec) Reset()

func (*ReasoningEngineSpec_PackageSpec) String 

func (x *ReasoningEngineSpec_PackageSpec) String() string

type RebaseTunedModelOperationMetadata 

type RebaseTunedModelOperationMetadata struct {

	// The common part of the operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1.GenAiTuningService.RebaseTunedModel].

func (*RebaseTunedModelOperationMetadata) Descriptor 

func (*RebaseTunedModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use RebaseTunedModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*RebaseTunedModelOperationMetadata) GetGenericMetadata 

func (x *RebaseTunedModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*RebaseTunedModelOperationMetadata) ProtoMessage 

func (*RebaseTunedModelOperationMetadata) ProtoMessage()

func (*RebaseTunedModelOperationMetadata) ProtoReflect 

func (x *RebaseTunedModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*RebaseTunedModelOperationMetadata) Reset 

func (x *RebaseTunedModelOperationMetadata) Reset()

func (*RebaseTunedModelOperationMetadata) String 

func (x *RebaseTunedModelOperationMetadata) String() string

type RebaseTunedModelRequest 

type RebaseTunedModelRequest struct {

	// Required. The resource name of the Location into which to rebase the Model.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. TunedModel reference to retrieve the legacy model information.
	TunedModelRef *TunedModelRef `protobuf:"bytes,2,opt,name=tuned_model_ref,json=tunedModelRef,proto3" json:"tuned_model_ref,omitempty"`
	// Optional. The TuningJob to be updated. Users can use this TuningJob field
	// to overwrite tuning configs.
	TuningJob *TuningJob `protobuf:"bytes,3,opt,name=tuning_job,json=tuningJob,proto3" json:"tuning_job,omitempty"`
	// Optional. The Google Cloud Storage location to write the artifacts.
	ArtifactDestination *GcsDestination `protobuf:"bytes,4,opt,name=artifact_destination,json=artifactDestination,proto3" json:"artifact_destination,omitempty"`
	// Optional. By default, bison to gemini migration will always create new
	// model/endpoint, but for gemini-1.0 to gemini-1.5 migration, we default
	// deploy to the same endpoint. See details in this Section.
	DeployToSameEndpoint bool `protobuf:"varint,5,opt,name=deploy_to_same_endpoint,json=deployToSameEndpoint,proto3" json:"deploy_to_same_endpoint,omitempty"`
	// contains filtered or unexported fields
}

Request message for [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1.GenAiTuningService.RebaseTunedModel].

func (*RebaseTunedModelRequest) Descriptor 

func (*RebaseTunedModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use RebaseTunedModelRequest.ProtoReflect.Descriptor instead.

func (*RebaseTunedModelRequest) GetArtifactDestination 

func (x *RebaseTunedModelRequest) GetArtifactDestination() *GcsDestination

func (*RebaseTunedModelRequest) GetDeployToSameEndpoint 

func (x *RebaseTunedModelRequest) GetDeployToSameEndpoint() bool

func (*RebaseTunedModelRequest) GetParent 

func (x *RebaseTunedModelRequest) GetParent() string

func (*RebaseTunedModelRequest) GetTunedModelRef 

func (x *RebaseTunedModelRequest) GetTunedModelRef() *TunedModelRef

func (*RebaseTunedModelRequest) GetTuningJob 

func (x *RebaseTunedModelRequest) GetTuningJob() *TuningJob

func (*RebaseTunedModelRequest) ProtoMessage 

func (*RebaseTunedModelRequest) ProtoMessage()

func (*RebaseTunedModelRequest) ProtoReflect 

func (x *RebaseTunedModelRequest) ProtoReflect() protoreflect.Message

func (*RebaseTunedModelRequest) Reset 

func (x *RebaseTunedModelRequest) Reset()

func (*RebaseTunedModelRequest) String 

func (x *RebaseTunedModelRequest) String() string

type RebootPersistentResourceOperationMetadata 

type RebootPersistentResourceOperationMetadata struct {

	// Operation metadata for PersistentResource.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Progress Message for Reboot LRO
	ProgressMessage string `protobuf:"bytes,2,opt,name=progress_message,json=progressMessage,proto3" json:"progress_message,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform reboot PersistentResource.

func (*RebootPersistentResourceOperationMetadata) Descriptor 

func (*RebootPersistentResourceOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use RebootPersistentResourceOperationMetadata.ProtoReflect.Descriptor instead.

func (*RebootPersistentResourceOperationMetadata) GetGenericMetadata 

func (x *RebootPersistentResourceOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*RebootPersistentResourceOperationMetadata) GetProgressMessage 

func (x *RebootPersistentResourceOperationMetadata) GetProgressMessage() string

func (*RebootPersistentResourceOperationMetadata) ProtoMessage 

func (*RebootPersistentResourceOperationMetadata) ProtoMessage()

func (*RebootPersistentResourceOperationMetadata) ProtoReflect 

func (x *RebootPersistentResourceOperationMetadata) ProtoReflect() protoreflect.Message

func (*RebootPersistentResourceOperationMetadata) Reset 

func (x *RebootPersistentResourceOperationMetadata) Reset()

func (*RebootPersistentResourceOperationMetadata) String 

func (x *RebootPersistentResourceOperationMetadata) String() string

type RebootPersistentResourceRequest 

type RebootPersistentResourceRequest struct {

	// Required. The name of the PersistentResource resource.
	// Format:
	// `projects/{project_id_or_number}/locations/{location_id}/persistentResources/{persistent_resource_id}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PersistentResourceService.RebootPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.RebootPersistentResource].

func (*RebootPersistentResourceRequest) Descriptor 

func (*RebootPersistentResourceRequest) Descriptor() ([]byte, []int)

Deprecated: Use RebootPersistentResourceRequest.ProtoReflect.Descriptor instead.

func (*RebootPersistentResourceRequest) GetName 

func (x *RebootPersistentResourceRequest) GetName() string

func (*RebootPersistentResourceRequest) ProtoMessage 

func (*RebootPersistentResourceRequest) ProtoMessage()

func (*RebootPersistentResourceRequest) ProtoReflect 

func (x *RebootPersistentResourceRequest) ProtoReflect() protoreflect.Message

func (*RebootPersistentResourceRequest) Reset 

func (x *RebootPersistentResourceRequest) Reset()

func (*RebootPersistentResourceRequest) String 

func (x *RebootPersistentResourceRequest) String() string

type RemoveContextChildrenRequest 

type RemoveContextChildrenRequest struct {

	// Required. The resource name of the parent Context.
	//
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// The resource names of the child Contexts.
	ChildContexts []string `protobuf:"bytes,2,rep,name=child_contexts,json=childContexts,proto3" json:"child_contexts,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteContextChildrenRequest][].

func (*RemoveContextChildrenRequest) Descriptor 

func (*RemoveContextChildrenRequest) Descriptor() ([]byte, []int)

Deprecated: Use RemoveContextChildrenRequest.ProtoReflect.Descriptor instead.

func (*RemoveContextChildrenRequest) GetChildContexts 

func (x *RemoveContextChildrenRequest) GetChildContexts() []string

func (*RemoveContextChildrenRequest) GetContext 

func (x *RemoveContextChildrenRequest) GetContext() string

func (*RemoveContextChildrenRequest) ProtoMessage 

func (*RemoveContextChildrenRequest) ProtoMessage()

func (*RemoveContextChildrenRequest) ProtoReflect 

func (x *RemoveContextChildrenRequest) ProtoReflect() protoreflect.Message

func (*RemoveContextChildrenRequest) Reset 

func (x *RemoveContextChildrenRequest) Reset()

func (*RemoveContextChildrenRequest) String 

func (x *RemoveContextChildrenRequest) String() string

type RemoveContextChildrenResponse 

type RemoveContextChildrenResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].

func (*RemoveContextChildrenResponse) Descriptor 

func (*RemoveContextChildrenResponse) Descriptor() ([]byte, []int)

Deprecated: Use RemoveContextChildrenResponse.ProtoReflect.Descriptor instead.

func (*RemoveContextChildrenResponse) ProtoMessage 

func (*RemoveContextChildrenResponse) ProtoMessage()

func (*RemoveContextChildrenResponse) ProtoReflect 

func (x *RemoveContextChildrenResponse) ProtoReflect() protoreflect.Message

func (*RemoveContextChildrenResponse) Reset 

func (x *RemoveContextChildrenResponse) Reset()

func (*RemoveContextChildrenResponse) String 

func (x *RemoveContextChildrenResponse) String() string

type RemoveDatapointsRequest 

type RemoveDatapointsRequest struct {

	// Required. The name of the Index resource to be updated.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Index string `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
	// A list of datapoint ids to be deleted.
	DatapointIds []string `protobuf:"bytes,2,rep,name=datapoint_ids,json=datapointIds,proto3" json:"datapoint_ids,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]

func (*RemoveDatapointsRequest) Descriptor 

func (*RemoveDatapointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use RemoveDatapointsRequest.ProtoReflect.Descriptor instead.

func (*RemoveDatapointsRequest) GetDatapointIds 

func (x *RemoveDatapointsRequest) GetDatapointIds() []string

func (*RemoveDatapointsRequest) GetIndex 

func (x *RemoveDatapointsRequest) GetIndex() string

func (*RemoveDatapointsRequest) ProtoMessage 

func (*RemoveDatapointsRequest) ProtoMessage()

func (*RemoveDatapointsRequest) ProtoReflect 

func (x *RemoveDatapointsRequest) ProtoReflect() protoreflect.Message

func (*RemoveDatapointsRequest) Reset 

func (x *RemoveDatapointsRequest) Reset()

func (*RemoveDatapointsRequest) String 

func (x *RemoveDatapointsRequest) String() string

type RemoveDatapointsResponse 

type RemoveDatapointsResponse struct {
	// contains filtered or unexported fields
}

Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]

func (*RemoveDatapointsResponse) Descriptor 

func (*RemoveDatapointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use RemoveDatapointsResponse.ProtoReflect.Descriptor instead.

func (*RemoveDatapointsResponse) ProtoMessage 

func (*RemoveDatapointsResponse) ProtoMessage()

func (*RemoveDatapointsResponse) ProtoReflect 

func (x *RemoveDatapointsResponse) ProtoReflect() protoreflect.Message

func (*RemoveDatapointsResponse) Reset 

func (x *RemoveDatapointsResponse) Reset()

func (*RemoveDatapointsResponse) String 

func (x *RemoveDatapointsResponse) String() string

type ReservationAffinity 

type ReservationAffinity struct {

	// Required. Specifies the reservation affinity type.
	ReservationAffinityType ReservationAffinity_Type `protobuf:"varint,1,opt,name=reservation_affinity_type,json=reservationAffinityType,proto3,enum=google.cloud.aiplatform.v1.ReservationAffinity_Type" json:"reservation_affinity_type,omitempty"`
	// Optional. Corresponds to the label key of a reservation resource. To target
	// a SPECIFIC_RESERVATION by name, use
	// `compute.googleapis.com/reservation-name` as the key and specify the name
	// of your reservation as its value.
	Key string `protobuf:"bytes,2,opt,name=key,proto3" json:"key,omitempty"`
	// Optional. Corresponds to the label values of a reservation resource. This
	// must be the full resource name of the reservation.
	Values []string `protobuf:"bytes,3,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a DeployedModel) to draw its Compute Engine resources from a Shared Reservation, or exclusively from on-demand capacity.

func (*ReservationAffinity) Descriptor 

func (*ReservationAffinity) Descriptor() ([]byte, []int)

Deprecated: Use ReservationAffinity.ProtoReflect.Descriptor instead.

func (*ReservationAffinity) GetKey 

func (x *ReservationAffinity) GetKey() string

func (*ReservationAffinity) GetReservationAffinityType 

func (x *ReservationAffinity) GetReservationAffinityType() ReservationAffinity_Type

func (*ReservationAffinity) GetValues 

func (x *ReservationAffinity) GetValues() []string

func (*ReservationAffinity) ProtoMessage 

func (*ReservationAffinity) ProtoMessage()

func (*ReservationAffinity) ProtoReflect 

func (x *ReservationAffinity) ProtoReflect() protoreflect.Message

func (*ReservationAffinity) Reset 

func (x *ReservationAffinity) Reset()

func (*ReservationAffinity) String 

func (x *ReservationAffinity) String() string

type ReservationAffinity_Type 

type ReservationAffinity_Type int32

Identifies a type of reservation affinity. 

const (
	// Default value. This should not be used.
	ReservationAffinity_TYPE_UNSPECIFIED ReservationAffinity_Type = 0
	// Do not consume from any reserved capacity, only use on-demand.
	ReservationAffinity_NO_RESERVATION ReservationAffinity_Type = 1
	// Consume any reservation available, falling back to on-demand.
	ReservationAffinity_ANY_RESERVATION ReservationAffinity_Type = 2
	// Consume from a specific reservation. When chosen, the reservation
	// must be identified via the `key` and `values` fields.
	ReservationAffinity_SPECIFIC_RESERVATION ReservationAffinity_Type = 3
)

func (ReservationAffinity_Type) Descriptor 

func (ReservationAffinity_Type) Descriptor() protoreflect.EnumDescriptor

func (ReservationAffinity_Type) Enum 

func (x ReservationAffinity_Type) Enum() *ReservationAffinity_Type

func (ReservationAffinity_Type) EnumDescriptor 

func (ReservationAffinity_Type) EnumDescriptor() ([]byte, []int)

Deprecated: Use ReservationAffinity_Type.Descriptor instead.

func (ReservationAffinity_Type) Number 

func (x ReservationAffinity_Type) Number() protoreflect.EnumNumber

func (ReservationAffinity_Type) String 

func (x ReservationAffinity_Type) String() string

func (ReservationAffinity_Type) Type 

func (ReservationAffinity_Type) Type() protoreflect.EnumType

type ResourcePool 

type ResourcePool struct {

	// Immutable. The unique ID in a PersistentResource for referring to this
	// resource pool. User can specify it if necessary. Otherwise, it's generated
	// automatically.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Required. Immutable. The specification of a single machine.
	MachineSpec *MachineSpec `protobuf:"bytes,2,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Optional. The total number of machines to use for this resource pool.
	ReplicaCount *int64 `protobuf:"varint,3,opt,name=replica_count,json=replicaCount,proto3,oneof" json:"replica_count,omitempty"`
	// Optional. Disk spec for the machine in this node pool.
	DiskSpec *DiskSpec `protobuf:"bytes,4,opt,name=disk_spec,json=diskSpec,proto3" json:"disk_spec,omitempty"`
	// Output only. The number of machines currently in use by training jobs for
	// this resource pool. Will replace idle_replica_count.
	UsedReplicaCount int64 `protobuf:"varint,6,opt,name=used_replica_count,json=usedReplicaCount,proto3" json:"used_replica_count,omitempty"`
	// Optional. Optional spec to configure GKE or Ray-on-Vertex autoscaling
	AutoscalingSpec *ResourcePool_AutoscalingSpec `protobuf:"bytes,7,opt,name=autoscaling_spec,json=autoscalingSpec,proto3" json:"autoscaling_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of a group of resources of the same type, for example machine type, disk, and accelerators, in a PersistentResource.

func (*ResourcePool) Descriptor 

func (*ResourcePool) Descriptor() ([]byte, []int)

Deprecated: Use ResourcePool.ProtoReflect.Descriptor instead.

func (*ResourcePool) GetAutoscalingSpec 

func (x *ResourcePool) GetAutoscalingSpec() *ResourcePool_AutoscalingSpec

func (*ResourcePool) GetDiskSpec 

func (x *ResourcePool) GetDiskSpec() *DiskSpec

func (*ResourcePool) GetId 

func (x *ResourcePool) GetId() string

func (*ResourcePool) GetMachineSpec 

func (x *ResourcePool) GetMachineSpec() *MachineSpec

func (*ResourcePool) GetReplicaCount 

func (x *ResourcePool) GetReplicaCount() int64

func (*ResourcePool) GetUsedReplicaCount 

func (x *ResourcePool) GetUsedReplicaCount() int64

func (*ResourcePool) ProtoMessage 

func (*ResourcePool) ProtoMessage()

func (*ResourcePool) ProtoReflect 

func (x *ResourcePool) ProtoReflect() protoreflect.Message

func (*ResourcePool) Reset 

func (x *ResourcePool) Reset()

func (*ResourcePool) String 

func (x *ResourcePool) String() string

type ResourcePool_AutoscalingSpec 

type ResourcePool_AutoscalingSpec struct {

	// Optional. min replicas in the node pool,
	// must be ≤ replica_count and < max_replica_count or will throw error.
	// For autoscaling enabled Ray-on-Vertex, we allow min_replica_count of a
	// resource_pool to be 0 to match the OSS Ray
	// behavior(https://docs.ray.io/en/latest/cluster/vms/user-guides/configuring-autoscaling.html#cluster-config-parameters).
	// As for Persistent Resource, the min_replica_count must be > 0, we added
	// a corresponding validation inside
	// CreatePersistentResourceRequestValidator.java.
	MinReplicaCount *int64 `protobuf:"varint,1,opt,name=min_replica_count,json=minReplicaCount,proto3,oneof" json:"min_replica_count,omitempty"`
	// Optional. max replicas in the node pool,
	// must be ≥ replica_count and > min_replica_count or will throw error
	MaxReplicaCount *int64 `protobuf:"varint,2,opt,name=max_replica_count,json=maxReplicaCount,proto3,oneof" json:"max_replica_count,omitempty"`
	// contains filtered or unexported fields
}

The min/max number of replicas allowed if enabling autoscaling

func (*ResourcePool_AutoscalingSpec) Descriptor 

func (*ResourcePool_AutoscalingSpec) Descriptor() ([]byte, []int)

Deprecated: Use ResourcePool_AutoscalingSpec.ProtoReflect.Descriptor instead.

func (*ResourcePool_AutoscalingSpec) GetMaxReplicaCount 

func (x *ResourcePool_AutoscalingSpec) GetMaxReplicaCount() int64

func (*ResourcePool_AutoscalingSpec) GetMinReplicaCount 

func (x *ResourcePool_AutoscalingSpec) GetMinReplicaCount() int64

func (*ResourcePool_AutoscalingSpec) ProtoMessage 

func (*ResourcePool_AutoscalingSpec) ProtoMessage()

func (*ResourcePool_AutoscalingSpec) ProtoReflect 

func (x *ResourcePool_AutoscalingSpec) ProtoReflect() protoreflect.Message

func (*ResourcePool_AutoscalingSpec) Reset 

func (x *ResourcePool_AutoscalingSpec) Reset()

func (*ResourcePool_AutoscalingSpec) String 

func (x *ResourcePool_AutoscalingSpec) String() string

type ResourceRuntime 

type ResourceRuntime struct {

	// Output only. URIs for user to connect to the Cluster.
	// Example:
	//
	//	{
	//	  "RAY_HEAD_NODE_INTERNAL_IP": "head-node-IP:10001"
	//	  "RAY_DASHBOARD_URI": "ray-dashboard-address:8888"
	//	}
	AccessUris map[string]string `protobuf:"bytes,1,rep,name=access_uris,json=accessUris,proto3" json:"access_uris,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

Persistent Cluster runtime information as output

func (*ResourceRuntime) Descriptor 

func (*ResourceRuntime) Descriptor() ([]byte, []int)

Deprecated: Use ResourceRuntime.ProtoReflect.Descriptor instead.

func (*ResourceRuntime) GetAccessUris 

func (x *ResourceRuntime) GetAccessUris() map[string]string

func (*ResourceRuntime) ProtoMessage 

func (*ResourceRuntime) ProtoMessage()

func (*ResourceRuntime) ProtoReflect 

func (x *ResourceRuntime) ProtoReflect() protoreflect.Message

func (*ResourceRuntime) Reset 

func (x *ResourceRuntime) Reset()

func (*ResourceRuntime) String 

func (x *ResourceRuntime) String() string

type ResourceRuntimeSpec 

type ResourceRuntimeSpec struct {

	// Optional. Configure the use of workload identity on the PersistentResource
	ServiceAccountSpec *ServiceAccountSpec `protobuf:"bytes,2,opt,name=service_account_spec,json=serviceAccountSpec,proto3" json:"service_account_spec,omitempty"`
	// Optional. Ray cluster configuration.
	// Required when creating a dedicated RayCluster on the PersistentResource.
	RaySpec *RaySpec `protobuf:"bytes,1,opt,name=ray_spec,json=raySpec,proto3" json:"ray_spec,omitempty"`
	// contains filtered or unexported fields
}

Configuration for the runtime on a PersistentResource instance, including but not limited to:

* Service accounts used to run the workloads. * Whether to make it a dedicated Ray Cluster.

func (*ResourceRuntimeSpec) Descriptor 

func (*ResourceRuntimeSpec) Descriptor() ([]byte, []int)

Deprecated: Use ResourceRuntimeSpec.ProtoReflect.Descriptor instead.

func (*ResourceRuntimeSpec) GetRaySpec 

func (x *ResourceRuntimeSpec) GetRaySpec() *RaySpec

func (*ResourceRuntimeSpec) GetServiceAccountSpec 

func (x *ResourceRuntimeSpec) GetServiceAccountSpec() *ServiceAccountSpec

func (*ResourceRuntimeSpec) ProtoMessage 

func (*ResourceRuntimeSpec) ProtoMessage()

func (*ResourceRuntimeSpec) ProtoReflect 

func (x *ResourceRuntimeSpec) ProtoReflect() protoreflect.Message

func (*ResourceRuntimeSpec) Reset 

func (x *ResourceRuntimeSpec) Reset()

func (*ResourceRuntimeSpec) String 

func (x *ResourceRuntimeSpec) String() string

type ResourcesConsumed 

type ResourcesConsumed struct {

	// Output only. The number of replica hours used. Note that many replicas may
	// run in parallel, and additionally any given work may be queued for some
	// time. Therefore this value is not strictly related to wall time.
	ReplicaHours float64 `protobuf:"fixed64,1,opt,name=replica_hours,json=replicaHours,proto3" json:"replica_hours,omitempty"`
	// contains filtered or unexported fields
}

Statistics information about resource consumption.

func (*ResourcesConsumed) Descriptor 

func (*ResourcesConsumed) Descriptor() ([]byte, []int)

Deprecated: Use ResourcesConsumed.ProtoReflect.Descriptor instead.

func (*ResourcesConsumed) GetReplicaHours 

func (x *ResourcesConsumed) GetReplicaHours() float64

func (*ResourcesConsumed) ProtoMessage 

func (*ResourcesConsumed) ProtoMessage()

func (*ResourcesConsumed) ProtoReflect 

func (x *ResourcesConsumed) ProtoReflect() protoreflect.Message

func (*ResourcesConsumed) Reset 

func (x *ResourcesConsumed) Reset()

func (*ResourcesConsumed) String 

func (x *ResourcesConsumed) String() string

type RestoreDatasetVersionOperationMetadata 

type RestoreDatasetVersionOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion].

func (*RestoreDatasetVersionOperationMetadata) Descriptor 

func (*RestoreDatasetVersionOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use RestoreDatasetVersionOperationMetadata.ProtoReflect.Descriptor instead.

func (*RestoreDatasetVersionOperationMetadata) GetGenericMetadata 

func (x *RestoreDatasetVersionOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*RestoreDatasetVersionOperationMetadata) ProtoMessage 

func (*RestoreDatasetVersionOperationMetadata) ProtoMessage()

func (*RestoreDatasetVersionOperationMetadata) ProtoReflect 

func (x *RestoreDatasetVersionOperationMetadata) ProtoReflect() protoreflect.Message

func (*RestoreDatasetVersionOperationMetadata) Reset 

func (x *RestoreDatasetVersionOperationMetadata) Reset()

func (*RestoreDatasetVersionOperationMetadata) String 

func (x *RestoreDatasetVersionOperationMetadata) String() string

type RestoreDatasetVersionRequest 

type RestoreDatasetVersionRequest struct {

	// Required. The name of the DatasetVersion resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion].

func (*RestoreDatasetVersionRequest) Descriptor 

func (*RestoreDatasetVersionRequest) Descriptor() ([]byte, []int)

Deprecated: Use RestoreDatasetVersionRequest.ProtoReflect.Descriptor instead.

func (*RestoreDatasetVersionRequest) GetName 

func (x *RestoreDatasetVersionRequest) GetName() string

func (*RestoreDatasetVersionRequest) ProtoMessage 

func (*RestoreDatasetVersionRequest) ProtoMessage()

func (*RestoreDatasetVersionRequest) ProtoReflect 

func (x *RestoreDatasetVersionRequest) ProtoReflect() protoreflect.Message

func (*RestoreDatasetVersionRequest) Reset 

func (x *RestoreDatasetVersionRequest) Reset()

func (*RestoreDatasetVersionRequest) String 

func (x *RestoreDatasetVersionRequest) String() string

type ResumeModelDeploymentMonitoringJobRequest 

type ResumeModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the ModelDeploymentMonitoringJob to resume.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob].

func (*ResumeModelDeploymentMonitoringJobRequest) Descriptor 

func (*ResumeModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use ResumeModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*ResumeModelDeploymentMonitoringJobRequest) GetName 

func (x *ResumeModelDeploymentMonitoringJobRequest) GetName() string

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *ResumeModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*ResumeModelDeploymentMonitoringJobRequest) Reset 

func (x *ResumeModelDeploymentMonitoringJobRequest) Reset()

func (*ResumeModelDeploymentMonitoringJobRequest) String 

func (x *ResumeModelDeploymentMonitoringJobRequest) String() string

type ResumeScheduleRequest 

type ResumeScheduleRequest struct {

	// Required. The name of the Schedule resource to be resumed.
	// Format:
	// `projects/{project}/locations/{location}/schedules/{schedule}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. Whether to backfill missed runs when the schedule is resumed from
	// PAUSED state. If set to true, all missed runs will be scheduled. New runs
	// will be scheduled after the backfill is complete. This will also update
	// [Schedule.catch_up][google.cloud.aiplatform.v1.Schedule.catch_up] field.
	// Default to false.
	CatchUp bool `protobuf:"varint,2,opt,name=catch_up,json=catchUp,proto3" json:"catch_up,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ScheduleService.ResumeSchedule][google.cloud.aiplatform.v1.ScheduleService.ResumeSchedule].

func (*ResumeScheduleRequest) Descriptor 

func (*ResumeScheduleRequest) Descriptor() ([]byte, []int)

Deprecated: Use ResumeScheduleRequest.ProtoReflect.Descriptor instead.

func (*ResumeScheduleRequest) GetCatchUp 

func (x *ResumeScheduleRequest) GetCatchUp() bool

func (*ResumeScheduleRequest) GetName 

func (x *ResumeScheduleRequest) GetName() string

func (*ResumeScheduleRequest) ProtoMessage 

func (*ResumeScheduleRequest) ProtoMessage()

func (*ResumeScheduleRequest) ProtoReflect 

func (x *ResumeScheduleRequest) ProtoReflect() protoreflect.Message

func (*ResumeScheduleRequest) Reset 

func (x *ResumeScheduleRequest) Reset()

func (*ResumeScheduleRequest) String 

func (x *ResumeScheduleRequest) String() string

type Retrieval 

type Retrieval struct {

	// The source of the retrieval.
	//
	// Types that are assignable to Source:
	//
	//	*Retrieval_VertexAiSearch
	//	*Retrieval_VertexRagStore
	Source isRetrieval_Source `protobuf_oneof:"source"`
	// Optional. Deprecated. This option is no longer supported.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/tool.proto.
	DisableAttribution bool `protobuf:"varint,3,opt,name=disable_attribution,json=disableAttribution,proto3" json:"disable_attribution,omitempty"`
	// contains filtered or unexported fields
}

Defines a retrieval tool that model can call to access external knowledge.

func (*Retrieval) Descriptor 

func (*Retrieval) Descriptor() ([]byte, []int)

Deprecated: Use Retrieval.ProtoReflect.Descriptor instead.

func (*Retrieval) GetDisableAttribution 

func (x *Retrieval) GetDisableAttribution() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/tool.proto.

func (*Retrieval) GetSource 

func (m *Retrieval) GetSource() isRetrieval_Source

func (*Retrieval) GetVertexAiSearch 

func (x *Retrieval) GetVertexAiSearch() *VertexAISearch

func (*Retrieval) GetVertexRagStore 

func (x *Retrieval) GetVertexRagStore() *VertexRagStore

func (*Retrieval) ProtoMessage 

func (*Retrieval) ProtoMessage()

func (*Retrieval) ProtoReflect 

func (x *Retrieval) ProtoReflect() protoreflect.Message

func (*Retrieval) Reset 

func (x *Retrieval) Reset()

func (*Retrieval) String 

func (x *Retrieval) String() string

type RetrievalConfig 

type RetrievalConfig struct {

	// The location of the user.
	LatLng *latlng.LatLng `protobuf:"bytes,1,opt,name=lat_lng,json=latLng,proto3,oneof" json:"lat_lng,omitempty"`
	// The language code of the user.
	LanguageCode *string `protobuf:"bytes,2,opt,name=language_code,json=languageCode,proto3,oneof" json:"language_code,omitempty"`
	// contains filtered or unexported fields
}

Retrieval config.

func (*RetrievalConfig) Descriptor 

func (*RetrievalConfig) Descriptor() ([]byte, []int)

Deprecated: Use RetrievalConfig.ProtoReflect.Descriptor instead.

func (*RetrievalConfig) GetLanguageCode 

func (x *RetrievalConfig) GetLanguageCode() string

func (*RetrievalConfig) GetLatLng 

func (x *RetrievalConfig) GetLatLng() *latlng.LatLng

func (*RetrievalConfig) ProtoMessage 

func (*RetrievalConfig) ProtoMessage()

func (*RetrievalConfig) ProtoReflect 

func (x *RetrievalConfig) ProtoReflect() protoreflect.Message

func (*RetrievalConfig) Reset 

func (x *RetrievalConfig) Reset()

func (*RetrievalConfig) String 

func (x *RetrievalConfig) String() string

type RetrievalMetadata 

type RetrievalMetadata struct {

	// Optional. Score indicating how likely information from Google Search could
	// help answer the prompt. The score is in the range `[0, 1]`, where 0 is the
	// least likely and 1 is the most likely. This score is only populated when
	// Google Search grounding and dynamic retrieval is enabled. It will be
	// compared to the threshold to determine whether to trigger Google Search.
	GoogleSearchDynamicRetrievalScore float32 `protobuf:"fixed32,2,opt,name=google_search_dynamic_retrieval_score,json=googleSearchDynamicRetrievalScore,proto3" json:"google_search_dynamic_retrieval_score,omitempty"`
	// contains filtered or unexported fields
}

Metadata related to retrieval in the grounding flow.

func (*RetrievalMetadata) Descriptor 

func (*RetrievalMetadata) Descriptor() ([]byte, []int)

Deprecated: Use RetrievalMetadata.ProtoReflect.Descriptor instead.

func (*RetrievalMetadata) GetGoogleSearchDynamicRetrievalScore 

func (x *RetrievalMetadata) GetGoogleSearchDynamicRetrievalScore() float32

func (*RetrievalMetadata) ProtoMessage 

func (*RetrievalMetadata) ProtoMessage()

func (*RetrievalMetadata) ProtoReflect 

func (x *RetrievalMetadata) ProtoReflect() protoreflect.Message

func (*RetrievalMetadata) Reset 

func (x *RetrievalMetadata) Reset()

func (*RetrievalMetadata) String 

func (x *RetrievalMetadata) String() string

type Retrieval_VertexAiSearch 

type Retrieval_VertexAiSearch struct {
	// Set to use data source powered by Vertex AI Search.
	VertexAiSearch *VertexAISearch `protobuf:"bytes,2,opt,name=vertex_ai_search,json=vertexAiSearch,proto3,oneof"`
}

type Retrieval_VertexRagStore 

type Retrieval_VertexRagStore struct {
	// Set to use data source powered by Vertex RAG store.
	// User data is uploaded via the VertexRagDataService.
	VertexRagStore *VertexRagStore `protobuf:"bytes,4,opt,name=vertex_rag_store,json=vertexRagStore,proto3,oneof"`
}

type RetrieveContextsRequest 

type RetrieveContextsRequest struct {

	// Data Source to retrieve contexts.
	//
	// Types that are assignable to DataSource:
	//
	//	*RetrieveContextsRequest_VertexRagStore_
	DataSource isRetrieveContextsRequest_DataSource `protobuf_oneof:"data_source"`
	// Required. The resource name of the Location from which to retrieve
	// RagContexts. The users must have permission to make a call in the project.
	// Format:
	// `projects/{project}/locations/{location}`.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Single RAG retrieve query.
	Query *RagQuery `protobuf:"bytes,3,opt,name=query,proto3" json:"query,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1.VertexRagService.RetrieveContexts].

func (*RetrieveContextsRequest) Descriptor 

func (*RetrieveContextsRequest) Descriptor() ([]byte, []int)

Deprecated: Use RetrieveContextsRequest.ProtoReflect.Descriptor instead.

func (*RetrieveContextsRequest) GetDataSource 

func (m *RetrieveContextsRequest) GetDataSource() isRetrieveContextsRequest_DataSource

func (*RetrieveContextsRequest) GetParent 

func (x *RetrieveContextsRequest) GetParent() string

func (*RetrieveContextsRequest) GetQuery 

func (x *RetrieveContextsRequest) GetQuery() *RagQuery

func (*RetrieveContextsRequest) GetVertexRagStore 

func (x *RetrieveContextsRequest) GetVertexRagStore() *RetrieveContextsRequest_VertexRagStore

func (*RetrieveContextsRequest) ProtoMessage 

func (*RetrieveContextsRequest) ProtoMessage()

func (*RetrieveContextsRequest) ProtoReflect 

func (x *RetrieveContextsRequest) ProtoReflect() protoreflect.Message

func (*RetrieveContextsRequest) Reset 

func (x *RetrieveContextsRequest) Reset()

func (*RetrieveContextsRequest) String 

func (x *RetrieveContextsRequest) String() string

type RetrieveContextsRequest_VertexRagStore 

type RetrieveContextsRequest_VertexRagStore struct {

	// Optional. The representation of the rag source. It can be used to specify
	// corpus only or ragfiles. Currently only support one corpus or multiple
	// files from one corpus. In the future we may open up multiple corpora
	// support.
	RagResources []*RetrieveContextsRequest_VertexRagStore_RagResource `protobuf:"bytes,3,rep,name=rag_resources,json=ragResources,proto3" json:"rag_resources,omitempty"`
	// Optional. Only return contexts with vector distance smaller than the
	// threshold.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/vertex_rag_service.proto.
	VectorDistanceThreshold *float64 `protobuf:"fixed64,2,opt,name=vector_distance_threshold,json=vectorDistanceThreshold,proto3,oneof" json:"vector_distance_threshold,omitempty"`
	// contains filtered or unexported fields
}

The data source for Vertex RagStore.

func (*RetrieveContextsRequest_VertexRagStore) Descriptor 

func (*RetrieveContextsRequest_VertexRagStore) Descriptor() ([]byte, []int)

Deprecated: Use RetrieveContextsRequest_VertexRagStore.ProtoReflect.Descriptor instead.

func (*RetrieveContextsRequest_VertexRagStore) GetRagResources 

func (x *RetrieveContextsRequest_VertexRagStore) GetRagResources() []*RetrieveContextsRequest_VertexRagStore_RagResource

func (*RetrieveContextsRequest_VertexRagStore) GetVectorDistanceThreshold 

func (x *RetrieveContextsRequest_VertexRagStore) GetVectorDistanceThreshold() float64

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/vertex_rag_service.proto.

func (*RetrieveContextsRequest_VertexRagStore) ProtoMessage 

func (*RetrieveContextsRequest_VertexRagStore) ProtoMessage()

func (*RetrieveContextsRequest_VertexRagStore) ProtoReflect 

func (x *RetrieveContextsRequest_VertexRagStore) ProtoReflect() protoreflect.Message

func (*RetrieveContextsRequest_VertexRagStore) Reset 

func (x *RetrieveContextsRequest_VertexRagStore) Reset()

func (*RetrieveContextsRequest_VertexRagStore) String 

func (x *RetrieveContextsRequest_VertexRagStore) String() string

type RetrieveContextsRequest_VertexRagStore_ 

type RetrieveContextsRequest_VertexRagStore_ struct {
	// The data source for Vertex RagStore.
	VertexRagStore *RetrieveContextsRequest_VertexRagStore `protobuf:"bytes,2,opt,name=vertex_rag_store,json=vertexRagStore,proto3,oneof"`
}

type RetrieveContextsRequest_VertexRagStore_RagResource 

type RetrieveContextsRequest_VertexRagStore_RagResource struct {

	// Optional. RagCorpora resource name.
	// Format:
	// `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
	RagCorpus string `protobuf:"bytes,1,opt,name=rag_corpus,json=ragCorpus,proto3" json:"rag_corpus,omitempty"`
	// Optional. rag_file_id. The files should be in the same rag_corpus set
	// in rag_corpus field.
	RagFileIds []string `protobuf:"bytes,2,rep,name=rag_file_ids,json=ragFileIds,proto3" json:"rag_file_ids,omitempty"`
	// contains filtered or unexported fields
}

The definition of the Rag resource.

func (*RetrieveContextsRequest_VertexRagStore_RagResource) Descriptor 

func (*RetrieveContextsRequest_VertexRagStore_RagResource) Descriptor() ([]byte, []int)

Deprecated: Use RetrieveContextsRequest_VertexRagStore_RagResource.ProtoReflect.Descriptor instead.

func (*RetrieveContextsRequest_VertexRagStore_RagResource) GetRagCorpus 

func (x *RetrieveContextsRequest_VertexRagStore_RagResource) GetRagCorpus() string

func (*RetrieveContextsRequest_VertexRagStore_RagResource) GetRagFileIds 

func (x *RetrieveContextsRequest_VertexRagStore_RagResource) GetRagFileIds() []string

func (*RetrieveContextsRequest_VertexRagStore_RagResource) ProtoMessage 

func (*RetrieveContextsRequest_VertexRagStore_RagResource) ProtoMessage()

func (*RetrieveContextsRequest_VertexRagStore_RagResource) ProtoReflect 

func (x *RetrieveContextsRequest_VertexRagStore_RagResource) ProtoReflect() protoreflect.Message

func (*RetrieveContextsRequest_VertexRagStore_RagResource) Reset 

func (x *RetrieveContextsRequest_VertexRagStore_RagResource) Reset()

func (*RetrieveContextsRequest_VertexRagStore_RagResource) String 

func (x *RetrieveContextsRequest_VertexRagStore_RagResource) String() string

type RetrieveContextsResponse 

type RetrieveContextsResponse struct {

	// The contexts of the query.
	Contexts *RagContexts `protobuf:"bytes,1,opt,name=contexts,proto3" json:"contexts,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1.VertexRagService.RetrieveContexts].

func (*RetrieveContextsResponse) Descriptor 

func (*RetrieveContextsResponse) Descriptor() ([]byte, []int)

Deprecated: Use RetrieveContextsResponse.ProtoReflect.Descriptor instead.

func (*RetrieveContextsResponse) GetContexts 

func (x *RetrieveContextsResponse) GetContexts() *RagContexts

func (*RetrieveContextsResponse) ProtoMessage 

func (*RetrieveContextsResponse) ProtoMessage()

func (*RetrieveContextsResponse) ProtoReflect 

func (x *RetrieveContextsResponse) ProtoReflect() protoreflect.Message

func (*RetrieveContextsResponse) Reset 

func (x *RetrieveContextsResponse) Reset()

func (*RetrieveContextsResponse) String 

func (x *RetrieveContextsResponse) String() string

type RougeInput 

type RougeInput struct {

	// Required. Spec for rouge score metric.
	MetricSpec *RougeSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Repeated rouge instances.
	Instances []*RougeInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// contains filtered or unexported fields
}

Input for rouge metric.

func (*RougeInput) Descriptor 

func (*RougeInput) Descriptor() ([]byte, []int)

Deprecated: Use RougeInput.ProtoReflect.Descriptor instead.

func (*RougeInput) GetInstances 

func (x *RougeInput) GetInstances() []*RougeInstance

func (*RougeInput) GetMetricSpec 

func (x *RougeInput) GetMetricSpec() *RougeSpec

func (*RougeInput) ProtoMessage 

func (*RougeInput) ProtoMessage()

func (*RougeInput) ProtoReflect 

func (x *RougeInput) ProtoReflect() protoreflect.Message

func (*RougeInput) Reset 

func (x *RougeInput) Reset()

func (*RougeInput) String 

func (x *RougeInput) String() string

type RougeInstance 

type RougeInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// contains filtered or unexported fields
}

Spec for rouge instance.

func (*RougeInstance) Descriptor 

func (*RougeInstance) Descriptor() ([]byte, []int)

Deprecated: Use RougeInstance.ProtoReflect.Descriptor instead.

func (*RougeInstance) GetPrediction 

func (x *RougeInstance) GetPrediction() string

func (*RougeInstance) GetReference 

func (x *RougeInstance) GetReference() string

func (*RougeInstance) ProtoMessage 

func (*RougeInstance) ProtoMessage()

func (*RougeInstance) ProtoReflect 

func (x *RougeInstance) ProtoReflect() protoreflect.Message

func (*RougeInstance) Reset 

func (x *RougeInstance) Reset()

func (*RougeInstance) String 

func (x *RougeInstance) String() string

type RougeMetricValue 

type RougeMetricValue struct {

	// Output only. Rouge score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Rouge metric value for an instance.

func (*RougeMetricValue) Descriptor 

func (*RougeMetricValue) Descriptor() ([]byte, []int)

Deprecated: Use RougeMetricValue.ProtoReflect.Descriptor instead.

func (*RougeMetricValue) GetScore 

func (x *RougeMetricValue) GetScore() float32

func (*RougeMetricValue) ProtoMessage 

func (*RougeMetricValue) ProtoMessage()

func (*RougeMetricValue) ProtoReflect 

func (x *RougeMetricValue) ProtoReflect() protoreflect.Message

func (*RougeMetricValue) Reset 

func (x *RougeMetricValue) Reset()

func (*RougeMetricValue) String 

func (x *RougeMetricValue) String() string

type RougeResults 

type RougeResults struct {

	// Output only. Rouge metric values.
	RougeMetricValues []*RougeMetricValue `protobuf:"bytes,1,rep,name=rouge_metric_values,json=rougeMetricValues,proto3" json:"rouge_metric_values,omitempty"`
	// contains filtered or unexported fields
}

Results for rouge metric.

func (*RougeResults) Descriptor 

func (*RougeResults) Descriptor() ([]byte, []int)

Deprecated: Use RougeResults.ProtoReflect.Descriptor instead.

func (*RougeResults) GetRougeMetricValues 

func (x *RougeResults) GetRougeMetricValues() []*RougeMetricValue

func (*RougeResults) ProtoMessage 

func (*RougeResults) ProtoMessage()

func (*RougeResults) ProtoReflect 

func (x *RougeResults) ProtoReflect() protoreflect.Message

func (*RougeResults) Reset 

func (x *RougeResults) Reset()

func (*RougeResults) String 

func (x *RougeResults) String() string

type RougeSpec 

type RougeSpec struct {

	// Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
	RougeType string `protobuf:"bytes,1,opt,name=rouge_type,json=rougeType,proto3" json:"rouge_type,omitempty"`
	// Optional. Whether to use stemmer to compute rouge score.
	UseStemmer bool `protobuf:"varint,2,opt,name=use_stemmer,json=useStemmer,proto3" json:"use_stemmer,omitempty"`
	// Optional. Whether to split summaries while using rougeLsum.
	SplitSummaries bool `protobuf:"varint,3,opt,name=split_summaries,json=splitSummaries,proto3" json:"split_summaries,omitempty"`
	// contains filtered or unexported fields
}

Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1.

func (*RougeSpec) Descriptor 

func (*RougeSpec) Descriptor() ([]byte, []int)

Deprecated: Use RougeSpec.ProtoReflect.Descriptor instead.

func (*RougeSpec) GetRougeType 

func (x *RougeSpec) GetRougeType() string

func (*RougeSpec) GetSplitSummaries 

func (x *RougeSpec) GetSplitSummaries() bool

func (*RougeSpec) GetUseStemmer 

func (x *RougeSpec) GetUseStemmer() bool

func (*RougeSpec) ProtoMessage 

func (*RougeSpec) ProtoMessage()

func (*RougeSpec) ProtoReflect 

func (x *RougeSpec) ProtoReflect() protoreflect.Message

func (*RougeSpec) Reset 

func (x *RougeSpec) Reset()

func (*RougeSpec) String 

func (x *RougeSpec) String() string

type SafetyInput 

type SafetyInput struct {

	// Required. Spec for safety metric.
	MetricSpec *SafetySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Safety instance.
	Instance *SafetyInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for safety metric.

func (*SafetyInput) Descriptor 

func (*SafetyInput) Descriptor() ([]byte, []int)

Deprecated: Use SafetyInput.ProtoReflect.Descriptor instead.

func (*SafetyInput) GetInstance 

func (x *SafetyInput) GetInstance() *SafetyInstance

func (*SafetyInput) GetMetricSpec 

func (x *SafetyInput) GetMetricSpec() *SafetySpec

func (*SafetyInput) ProtoMessage 

func (*SafetyInput) ProtoMessage()

func (*SafetyInput) ProtoReflect 

func (x *SafetyInput) ProtoReflect() protoreflect.Message

func (*SafetyInput) Reset 

func (x *SafetyInput) Reset()

func (*SafetyInput) String 

func (x *SafetyInput) String() string

type SafetyInstance 

type SafetyInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// contains filtered or unexported fields
}

Spec for safety instance.

func (*SafetyInstance) Descriptor 

func (*SafetyInstance) Descriptor() ([]byte, []int)

Deprecated: Use SafetyInstance.ProtoReflect.Descriptor instead.

func (*SafetyInstance) GetPrediction 

func (x *SafetyInstance) GetPrediction() string

func (*SafetyInstance) ProtoMessage 

func (*SafetyInstance) ProtoMessage()

func (*SafetyInstance) ProtoReflect 

func (x *SafetyInstance) ProtoReflect() protoreflect.Message

func (*SafetyInstance) Reset 

func (x *SafetyInstance) Reset()

func (*SafetyInstance) String 

func (x *SafetyInstance) String() string

type SafetyRating 

type SafetyRating struct {

	// Output only. Harm category.
	Category HarmCategory `protobuf:"varint,1,opt,name=category,proto3,enum=google.cloud.aiplatform.v1.HarmCategory" json:"category,omitempty"`
	// Output only. Harm probability levels in the content.
	Probability SafetyRating_HarmProbability `protobuf:"varint,2,opt,name=probability,proto3,enum=google.cloud.aiplatform.v1.SafetyRating_HarmProbability" json:"probability,omitempty"`
	// Output only. Harm probability score.
	ProbabilityScore float32 `protobuf:"fixed32,5,opt,name=probability_score,json=probabilityScore,proto3" json:"probability_score,omitempty"`
	// Output only. Harm severity levels in the content.
	Severity SafetyRating_HarmSeverity `protobuf:"varint,6,opt,name=severity,proto3,enum=google.cloud.aiplatform.v1.SafetyRating_HarmSeverity" json:"severity,omitempty"`
	// Output only. Harm severity score.
	SeverityScore float32 `protobuf:"fixed32,7,opt,name=severity_score,json=severityScore,proto3" json:"severity_score,omitempty"`
	// Output only. Indicates whether the content was filtered out because of this
	// rating.
	Blocked bool `protobuf:"varint,3,opt,name=blocked,proto3" json:"blocked,omitempty"`
	// contains filtered or unexported fields
}

Safety rating corresponding to the generated content.

func (*SafetyRating) Descriptor 

func (*SafetyRating) Descriptor() ([]byte, []int)

Deprecated: Use SafetyRating.ProtoReflect.Descriptor instead.

func (*SafetyRating) GetBlocked 

func (x *SafetyRating) GetBlocked() bool

func (*SafetyRating) GetCategory 

func (x *SafetyRating) GetCategory() HarmCategory

func (*SafetyRating) GetProbability 

func (x *SafetyRating) GetProbability() SafetyRating_HarmProbability

func (*SafetyRating) GetProbabilityScore 

func (x *SafetyRating) GetProbabilityScore() float32

func (*SafetyRating) GetSeverity 

func (x *SafetyRating) GetSeverity() SafetyRating_HarmSeverity

func (*SafetyRating) GetSeverityScore 

func (x *SafetyRating) GetSeverityScore() float32

func (*SafetyRating) ProtoMessage 

func (*SafetyRating) ProtoMessage()

func (*SafetyRating) ProtoReflect 

func (x *SafetyRating) ProtoReflect() protoreflect.Message

func (*SafetyRating) Reset 

func (x *SafetyRating) Reset()

func (*SafetyRating) String 

func (x *SafetyRating) String() string

type SafetyRating_HarmProbability 

type SafetyRating_HarmProbability int32

Harm probability levels in the content. 

const (
	// Harm probability unspecified.
	SafetyRating_HARM_PROBABILITY_UNSPECIFIED SafetyRating_HarmProbability = 0
	// Negligible level of harm.
	SafetyRating_NEGLIGIBLE SafetyRating_HarmProbability = 1
	// Low level of harm.
	SafetyRating_LOW SafetyRating_HarmProbability = 2
	// Medium level of harm.
	SafetyRating_MEDIUM SafetyRating_HarmProbability = 3
	// High level of harm.
	SafetyRating_HIGH SafetyRating_HarmProbability = 4
)

func (SafetyRating_HarmProbability) Descriptor 

func (SafetyRating_HarmProbability) Descriptor() protoreflect.EnumDescriptor

func (SafetyRating_HarmProbability) Enum 

func (x SafetyRating_HarmProbability) Enum() *SafetyRating_HarmProbability

func (SafetyRating_HarmProbability) EnumDescriptor 

func (SafetyRating_HarmProbability) EnumDescriptor() ([]byte, []int)

Deprecated: Use SafetyRating_HarmProbability.Descriptor instead.

func (SafetyRating_HarmProbability) Number 

func (x SafetyRating_HarmProbability) Number() protoreflect.EnumNumber

func (SafetyRating_HarmProbability) String 

func (x SafetyRating_HarmProbability) String() string

func (SafetyRating_HarmProbability) Type 

func (SafetyRating_HarmProbability) Type() protoreflect.EnumType

type SafetyRating_HarmSeverity 

type SafetyRating_HarmSeverity int32

Harm severity levels. 

const (
	// Harm severity unspecified.
	SafetyRating_HARM_SEVERITY_UNSPECIFIED SafetyRating_HarmSeverity = 0
	// Negligible level of harm severity.
	SafetyRating_HARM_SEVERITY_NEGLIGIBLE SafetyRating_HarmSeverity = 1
	// Low level of harm severity.
	SafetyRating_HARM_SEVERITY_LOW SafetyRating_HarmSeverity = 2
	// Medium level of harm severity.
	SafetyRating_HARM_SEVERITY_MEDIUM SafetyRating_HarmSeverity = 3
	// High level of harm severity.
	SafetyRating_HARM_SEVERITY_HIGH SafetyRating_HarmSeverity = 4
)

func (SafetyRating_HarmSeverity) Descriptor 

func (SafetyRating_HarmSeverity) Descriptor() protoreflect.EnumDescriptor

func (SafetyRating_HarmSeverity) Enum 

func (x SafetyRating_HarmSeverity) Enum() *SafetyRating_HarmSeverity

func (SafetyRating_HarmSeverity) EnumDescriptor 

func (SafetyRating_HarmSeverity) EnumDescriptor() ([]byte, []int)

Deprecated: Use SafetyRating_HarmSeverity.Descriptor instead.

func (SafetyRating_HarmSeverity) Number 

func (x SafetyRating_HarmSeverity) Number() protoreflect.EnumNumber

func (SafetyRating_HarmSeverity) String 

func (x SafetyRating_HarmSeverity) String() string

func (SafetyRating_HarmSeverity) Type 

func (SafetyRating_HarmSeverity) Type() protoreflect.EnumType

type SafetyResult 

type SafetyResult struct {

	// Output only. Safety score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for safety score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for safety score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for safety result.

func (*SafetyResult) Descriptor 

func (*SafetyResult) Descriptor() ([]byte, []int)

Deprecated: Use SafetyResult.ProtoReflect.Descriptor instead.

func (*SafetyResult) GetConfidence 

func (x *SafetyResult) GetConfidence() float32

func (*SafetyResult) GetExplanation 

func (x *SafetyResult) GetExplanation() string

func (*SafetyResult) GetScore 

func (x *SafetyResult) GetScore() float32

func (*SafetyResult) ProtoMessage 

func (*SafetyResult) ProtoMessage()

func (*SafetyResult) ProtoReflect 

func (x *SafetyResult) ProtoReflect() protoreflect.Message

func (*SafetyResult) Reset 

func (x *SafetyResult) Reset()

func (*SafetyResult) String 

func (x *SafetyResult) String() string

type SafetySetting 

type SafetySetting struct {

	// Required. Harm category.
	Category HarmCategory `protobuf:"varint,1,opt,name=category,proto3,enum=google.cloud.aiplatform.v1.HarmCategory" json:"category,omitempty"`
	// Required. The harm block threshold.
	Threshold SafetySetting_HarmBlockThreshold `protobuf:"varint,2,opt,name=threshold,proto3,enum=google.cloud.aiplatform.v1.SafetySetting_HarmBlockThreshold" json:"threshold,omitempty"`
	// Optional. Specify if the threshold is used for probability or severity
	// score. If not specified, the threshold is used for probability score.
	Method SafetySetting_HarmBlockMethod `protobuf:"varint,4,opt,name=method,proto3,enum=google.cloud.aiplatform.v1.SafetySetting_HarmBlockMethod" json:"method,omitempty"`
	// contains filtered or unexported fields
}

Safety settings.

func (*SafetySetting) Descriptor 

func (*SafetySetting) Descriptor() ([]byte, []int)

Deprecated: Use SafetySetting.ProtoReflect.Descriptor instead.

func (*SafetySetting) GetCategory 

func (x *SafetySetting) GetCategory() HarmCategory

func (*SafetySetting) GetMethod 

func (x *SafetySetting) GetMethod() SafetySetting_HarmBlockMethod

func (*SafetySetting) GetThreshold 

func (x *SafetySetting) GetThreshold() SafetySetting_HarmBlockThreshold

func (*SafetySetting) ProtoMessage 

func (*SafetySetting) ProtoMessage()

func (*SafetySetting) ProtoReflect 

func (x *SafetySetting) ProtoReflect() protoreflect.Message

func (*SafetySetting) Reset 

func (x *SafetySetting) Reset()

func (*SafetySetting) String 

func (x *SafetySetting) String() string

type SafetySetting_HarmBlockMethod 

type SafetySetting_HarmBlockMethod int32

Probability vs severity. 

const (
	// The harm block method is unspecified.
	SafetySetting_HARM_BLOCK_METHOD_UNSPECIFIED SafetySetting_HarmBlockMethod = 0
	// The harm block method uses both probability and severity scores.
	SafetySetting_SEVERITY SafetySetting_HarmBlockMethod = 1
	// The harm block method uses the probability score.
	SafetySetting_PROBABILITY SafetySetting_HarmBlockMethod = 2
)

func (SafetySetting_HarmBlockMethod) Descriptor 

func (SafetySetting_HarmBlockMethod) Descriptor() protoreflect.EnumDescriptor

func (SafetySetting_HarmBlockMethod) Enum 

func (x SafetySetting_HarmBlockMethod) Enum() *SafetySetting_HarmBlockMethod

func (SafetySetting_HarmBlockMethod) EnumDescriptor 

func (SafetySetting_HarmBlockMethod) EnumDescriptor() ([]byte, []int)

Deprecated: Use SafetySetting_HarmBlockMethod.Descriptor instead.

func (SafetySetting_HarmBlockMethod) Number 

func (x SafetySetting_HarmBlockMethod) Number() protoreflect.EnumNumber

func (SafetySetting_HarmBlockMethod) String 

func (x SafetySetting_HarmBlockMethod) String() string

func (SafetySetting_HarmBlockMethod) Type 

func (SafetySetting_HarmBlockMethod) Type() protoreflect.EnumType

type SafetySetting_HarmBlockThreshold 

type SafetySetting_HarmBlockThreshold int32

Probability based thresholds levels for blocking. 

const (
	// Unspecified harm block threshold.
	SafetySetting_HARM_BLOCK_THRESHOLD_UNSPECIFIED SafetySetting_HarmBlockThreshold = 0
	// Block low threshold and above (i.e. block more).
	SafetySetting_BLOCK_LOW_AND_ABOVE SafetySetting_HarmBlockThreshold = 1
	// Block medium threshold and above.
	SafetySetting_BLOCK_MEDIUM_AND_ABOVE SafetySetting_HarmBlockThreshold = 2
	// Block only high threshold (i.e. block less).
	SafetySetting_BLOCK_ONLY_HIGH SafetySetting_HarmBlockThreshold = 3
	// Block none.
	SafetySetting_BLOCK_NONE SafetySetting_HarmBlockThreshold = 4
	// Turn off the safety filter.
	SafetySetting_OFF SafetySetting_HarmBlockThreshold = 5
)

func (SafetySetting_HarmBlockThreshold) Descriptor 

func (SafetySetting_HarmBlockThreshold) Descriptor() protoreflect.EnumDescriptor

func (SafetySetting_HarmBlockThreshold) Enum 

func (x SafetySetting_HarmBlockThreshold) Enum() *SafetySetting_HarmBlockThreshold

func (SafetySetting_HarmBlockThreshold) EnumDescriptor 

func (SafetySetting_HarmBlockThreshold) EnumDescriptor() ([]byte, []int)

Deprecated: Use SafetySetting_HarmBlockThreshold.Descriptor instead.

func (SafetySetting_HarmBlockThreshold) Number 

func (x SafetySetting_HarmBlockThreshold) Number() protoreflect.EnumNumber

func (SafetySetting_HarmBlockThreshold) String 

func (x SafetySetting_HarmBlockThreshold) String() string

func (SafetySetting_HarmBlockThreshold) Type 

func (SafetySetting_HarmBlockThreshold) Type() protoreflect.EnumType

type SafetySpec 

type SafetySpec struct {

	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for safety metric.

func (*SafetySpec) Descriptor 

func (*SafetySpec) Descriptor() ([]byte, []int)

Deprecated: Use SafetySpec.ProtoReflect.Descriptor instead.

func (*SafetySpec) GetVersion 

func (x *SafetySpec) GetVersion() int32

func (*SafetySpec) ProtoMessage 

func (*SafetySpec) ProtoMessage()

func (*SafetySpec) ProtoReflect 

func (x *SafetySpec) ProtoReflect() protoreflect.Message

func (*SafetySpec) Reset 

func (x *SafetySpec) Reset()

func (*SafetySpec) String 

func (x *SafetySpec) String() string

type SampleConfig 

type SampleConfig struct {

	// Decides sample size for the initial batch. initial_batch_sample_percentage
	// is used by default.
	//
	// Types that are assignable to InitialBatchSampleSize:
	//
	//	*SampleConfig_InitialBatchSamplePercentage
	InitialBatchSampleSize isSampleConfig_InitialBatchSampleSize `protobuf_oneof:"initial_batch_sample_size"`
	// Decides sample size for the following batches.
	// following_batch_sample_percentage is used by default.
	//
	// Types that are assignable to FollowingBatchSampleSize:
	//
	//	*SampleConfig_FollowingBatchSamplePercentage
	FollowingBatchSampleSize isSampleConfig_FollowingBatchSampleSize `protobuf_oneof:"following_batch_sample_size"`
	// Field to choose sampling strategy. Sampling strategy will decide which data
	// should be selected for human labeling in every batch.
	SampleStrategy SampleConfig_SampleStrategy `protobuf:"varint,5,opt,name=sample_strategy,json=sampleStrategy,proto3,enum=google.cloud.aiplatform.v1.SampleConfig_SampleStrategy" json:"sample_strategy,omitempty"`
	// contains filtered or unexported fields
}

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

func (*SampleConfig) Descriptor 

func (*SampleConfig) Descriptor() ([]byte, []int)

Deprecated: Use SampleConfig.ProtoReflect.Descriptor instead.

func (*SampleConfig) GetFollowingBatchSamplePercentage 

func (x *SampleConfig) GetFollowingBatchSamplePercentage() int32

func (*SampleConfig) GetFollowingBatchSampleSize 

func (m *SampleConfig) GetFollowingBatchSampleSize() isSampleConfig_FollowingBatchSampleSize

func (*SampleConfig) GetInitialBatchSamplePercentage 

func (x *SampleConfig) GetInitialBatchSamplePercentage() int32

func (*SampleConfig) GetInitialBatchSampleSize 

func (m *SampleConfig) GetInitialBatchSampleSize() isSampleConfig_InitialBatchSampleSize

func (*SampleConfig) GetSampleStrategy 

func (x *SampleConfig) GetSampleStrategy() SampleConfig_SampleStrategy

func (*SampleConfig) ProtoMessage 

func (*SampleConfig) ProtoMessage()

func (*SampleConfig) ProtoReflect 

func (x *SampleConfig) ProtoReflect() protoreflect.Message

func (*SampleConfig) Reset 

func (x *SampleConfig) Reset()

func (*SampleConfig) String 

func (x *SampleConfig) String() string

type SampleConfig_FollowingBatchSamplePercentage 

type SampleConfig_FollowingBatchSamplePercentage struct {
	// The percentage of data needed to be labeled in each following batch
	// (except the first batch).
	FollowingBatchSamplePercentage int32 `protobuf:"varint,3,opt,name=following_batch_sample_percentage,json=followingBatchSamplePercentage,proto3,oneof"`
}

type SampleConfig_InitialBatchSamplePercentage 

type SampleConfig_InitialBatchSamplePercentage struct {
	// The percentage of data needed to be labeled in the first batch.
	InitialBatchSamplePercentage int32 `protobuf:"varint,1,opt,name=initial_batch_sample_percentage,json=initialBatchSamplePercentage,proto3,oneof"`
}

type SampleConfig_SampleStrategy 

type SampleConfig_SampleStrategy int32

Sample strategy decides which subset of DataItems should be selected for human labeling in every batch. 

const (
	// Default will be treated as UNCERTAINTY.
	SampleConfig_SAMPLE_STRATEGY_UNSPECIFIED SampleConfig_SampleStrategy = 0
	// Sample the most uncertain data to label.
	SampleConfig_UNCERTAINTY SampleConfig_SampleStrategy = 1
)

func (SampleConfig_SampleStrategy) Descriptor 

func (SampleConfig_SampleStrategy) Descriptor() protoreflect.EnumDescriptor

func (SampleConfig_SampleStrategy) Enum 

func (x SampleConfig_SampleStrategy) Enum() *SampleConfig_SampleStrategy

func (SampleConfig_SampleStrategy) EnumDescriptor 

func (SampleConfig_SampleStrategy) EnumDescriptor() ([]byte, []int)

Deprecated: Use SampleConfig_SampleStrategy.Descriptor instead.

func (SampleConfig_SampleStrategy) Number 

func (x SampleConfig_SampleStrategy) Number() protoreflect.EnumNumber

func (SampleConfig_SampleStrategy) String 

func (x SampleConfig_SampleStrategy) String() string

func (SampleConfig_SampleStrategy) Type 

func (SampleConfig_SampleStrategy) Type() protoreflect.EnumType

type SampledShapleyAttribution 

type SampledShapleyAttribution struct {

	// Required. The number of feature permutations to consider when approximating
	// the Shapley values.
	//
	// Valid range of its value is [1, 50], inclusively.
	PathCount int32 `protobuf:"varint,1,opt,name=path_count,json=pathCount,proto3" json:"path_count,omitempty"`
	// contains filtered or unexported fields
}

An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features.

func (*SampledShapleyAttribution) Descriptor 

func (*SampledShapleyAttribution) Descriptor() ([]byte, []int)

Deprecated: Use SampledShapleyAttribution.ProtoReflect.Descriptor instead.

func (*SampledShapleyAttribution) GetPathCount 

func (x *SampledShapleyAttribution) GetPathCount() int32

func (*SampledShapleyAttribution) ProtoMessage 

func (*SampledShapleyAttribution) ProtoMessage()

func (*SampledShapleyAttribution) ProtoReflect 

func (x *SampledShapleyAttribution) ProtoReflect() protoreflect.Message

func (*SampledShapleyAttribution) Reset 

func (x *SampledShapleyAttribution) Reset()

func (*SampledShapleyAttribution) String 

func (x *SampledShapleyAttribution) String() string

type SamplingStrategy 

type SamplingStrategy struct {

	// Random sample config. Will support more sampling strategies later.
	RandomSampleConfig *SamplingStrategy_RandomSampleConfig `protobuf:"bytes,1,opt,name=random_sample_config,json=randomSampleConfig,proto3" json:"random_sample_config,omitempty"`
	// contains filtered or unexported fields
}

Sampling Strategy for logging, can be for both training and prediction dataset.

func (*SamplingStrategy) Descriptor 

func (*SamplingStrategy) Descriptor() ([]byte, []int)

Deprecated: Use SamplingStrategy.ProtoReflect.Descriptor instead.

func (*SamplingStrategy) GetRandomSampleConfig 

func (x *SamplingStrategy) GetRandomSampleConfig() *SamplingStrategy_RandomSampleConfig

func (*SamplingStrategy) ProtoMessage 

func (*SamplingStrategy) ProtoMessage()

func (*SamplingStrategy) ProtoReflect 

func (x *SamplingStrategy) ProtoReflect() protoreflect.Message

func (*SamplingStrategy) Reset 

func (x *SamplingStrategy) Reset()

func (*SamplingStrategy) String 

func (x *SamplingStrategy) String() string

type SamplingStrategy_RandomSampleConfig 

type SamplingStrategy_RandomSampleConfig struct {

	// Sample rate (0, 1]
	SampleRate float64 `protobuf:"fixed64,1,opt,name=sample_rate,json=sampleRate,proto3" json:"sample_rate,omitempty"`
	// contains filtered or unexported fields
}

Requests are randomly selected.

func (*SamplingStrategy_RandomSampleConfig) Descriptor 

func (*SamplingStrategy_RandomSampleConfig) Descriptor() ([]byte, []int)

Deprecated: Use SamplingStrategy_RandomSampleConfig.ProtoReflect.Descriptor instead.

func (*SamplingStrategy_RandomSampleConfig) GetSampleRate 

func (x *SamplingStrategy_RandomSampleConfig) GetSampleRate() float64

func (*SamplingStrategy_RandomSampleConfig) ProtoMessage 

func (*SamplingStrategy_RandomSampleConfig) ProtoMessage()

func (*SamplingStrategy_RandomSampleConfig) ProtoReflect 

func (x *SamplingStrategy_RandomSampleConfig) ProtoReflect() protoreflect.Message

func (*SamplingStrategy_RandomSampleConfig) Reset 

func (x *SamplingStrategy_RandomSampleConfig) Reset()

func (*SamplingStrategy_RandomSampleConfig) String 

func (x *SamplingStrategy_RandomSampleConfig) String() string

type SavedQuery 

type SavedQuery struct {

	// Output only. Resource name of the SavedQuery.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the SavedQuery.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Some additional information about the SavedQuery.
	Metadata *structpb.Value `protobuf:"bytes,12,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Output only. Timestamp when this SavedQuery was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when SavedQuery was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Filters on the Annotations in the dataset.
	AnnotationFilter string `protobuf:"bytes,5,opt,name=annotation_filter,json=annotationFilter,proto3" json:"annotation_filter,omitempty"`
	// Required. Problem type of the SavedQuery.
	// Allowed values:
	//
	// * IMAGE_CLASSIFICATION_SINGLE_LABEL
	// * IMAGE_CLASSIFICATION_MULTI_LABEL
	// * IMAGE_BOUNDING_POLY
	// * IMAGE_BOUNDING_BOX
	// * TEXT_CLASSIFICATION_SINGLE_LABEL
	// * TEXT_CLASSIFICATION_MULTI_LABEL
	// * TEXT_EXTRACTION
	// * TEXT_SENTIMENT
	// * VIDEO_CLASSIFICATION
	// * VIDEO_OBJECT_TRACKING
	ProblemType string `protobuf:"bytes,6,opt,name=problem_type,json=problemType,proto3" json:"problem_type,omitempty"`
	// Output only. Number of AnnotationSpecs in the context of the SavedQuery.
	AnnotationSpecCount int32 `protobuf:"varint,10,opt,name=annotation_spec_count,json=annotationSpecCount,proto3" json:"annotation_spec_count,omitempty"`
	// Used to perform a consistent read-modify-write update. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
	// Output only. If the Annotations belonging to the SavedQuery can be used for
	// AutoML training.
	SupportAutomlTraining bool `protobuf:"varint,9,opt,name=support_automl_training,json=supportAutomlTraining,proto3" json:"support_automl_training,omitempty"`
	// contains filtered or unexported fields
}

A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.

func (*SavedQuery) Descriptor 

func (*SavedQuery) Descriptor() ([]byte, []int)

Deprecated: Use SavedQuery.ProtoReflect.Descriptor instead.

func (*SavedQuery) GetAnnotationFilter 

func (x *SavedQuery) GetAnnotationFilter() string

func (*SavedQuery) GetAnnotationSpecCount 

func (x *SavedQuery) GetAnnotationSpecCount() int32

func (*SavedQuery) GetCreateTime 

func (x *SavedQuery) GetCreateTime() *timestamppb.Timestamp

func (*SavedQuery) GetDisplayName 

func (x *SavedQuery) GetDisplayName() string

func (*SavedQuery) GetEtag 

func (x *SavedQuery) GetEtag() string

func (*SavedQuery) GetMetadata 

func (x *SavedQuery) GetMetadata() *structpb.Value

func (*SavedQuery) GetName 

func (x *SavedQuery) GetName() string

func (*SavedQuery) GetProblemType 

func (x *SavedQuery) GetProblemType() string

func (*SavedQuery) GetSupportAutomlTraining 

func (x *SavedQuery) GetSupportAutomlTraining() bool

func (*SavedQuery) GetUpdateTime 

func (x *SavedQuery) GetUpdateTime() *timestamppb.Timestamp

func (*SavedQuery) ProtoMessage 

func (*SavedQuery) ProtoMessage()

func (*SavedQuery) ProtoReflect 

func (x *SavedQuery) ProtoReflect() protoreflect.Message

func (*SavedQuery) Reset 

func (x *SavedQuery) Reset()

func (*SavedQuery) String 

func (x *SavedQuery) String() string

type Scalar 

type Scalar struct {

	// Value of the point at this step / timestamp.
	Value float64 `protobuf:"fixed64,1,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

One point viewable on a scalar metric plot.

func (*Scalar) Descriptor 

func (*Scalar) Descriptor() ([]byte, []int)

Deprecated: Use Scalar.ProtoReflect.Descriptor instead.

func (*Scalar) GetValue 

func (x *Scalar) GetValue() float64

func (*Scalar) ProtoMessage 

func (*Scalar) ProtoMessage()

func (*Scalar) ProtoReflect 

func (x *Scalar) ProtoReflect() protoreflect.Message

func (*Scalar) Reset 

func (x *Scalar) Reset()

func (*Scalar) String 

func (x *Scalar) String() string

type Schedule 

type Schedule struct {

	// Required.
	// The time specification to launch scheduled runs.
	//
	// Types that are assignable to TimeSpecification:
	//
	//	*Schedule_Cron
	TimeSpecification isSchedule_TimeSpecification `protobuf_oneof:"time_specification"`
	// Required.
	// The API request template to launch the scheduled runs.
	// User-specified ID is not supported in the request template.
	//
	// Types that are assignable to Request:
	//
	//	*Schedule_CreatePipelineJobRequest
	//	*Schedule_CreateNotebookExecutionJobRequest
	Request isSchedule_Request `protobuf_oneof:"request"`
	// Immutable. The resource name of the Schedule.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. User provided name of the Schedule.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Optional. Timestamp after which the first run can be scheduled.
	// Default to Schedule create time if not specified.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Optional. Timestamp after which no new runs can be scheduled.
	// If specified, The schedule will be completed when either
	// end_time is reached or when scheduled_run_count >= max_run_count.
	// If not specified, new runs will keep getting scheduled until this Schedule
	// is paused or deleted. Already scheduled runs will be allowed to complete.
	// Unset if not specified.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Optional. Maximum run count of the schedule.
	// If specified, The schedule will be completed when either
	// started_run_count >= max_run_count or when end_time is reached.
	// If not specified, new runs will keep getting scheduled until this Schedule
	// is paused or deleted. Already scheduled runs will be allowed to complete.
	// Unset if not specified.
	MaxRunCount int64 `protobuf:"varint,16,opt,name=max_run_count,json=maxRunCount,proto3" json:"max_run_count,omitempty"`
	// Output only. The number of runs started by this schedule.
	StartedRunCount int64 `protobuf:"varint,17,opt,name=started_run_count,json=startedRunCount,proto3" json:"started_run_count,omitempty"`
	// Output only. The state of this Schedule.
	State Schedule_State `protobuf:"varint,5,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Schedule_State" json:"state,omitempty"`
	// Output only. Timestamp when this Schedule was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Schedule was updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,19,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Timestamp when this Schedule should schedule the next run.
	// Having a next_run_time in the past means the runs are being started
	// behind schedule.
	NextRunTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=next_run_time,json=nextRunTime,proto3" json:"next_run_time,omitempty"`
	// Output only. Timestamp when this Schedule was last paused.
	// Unset if never paused.
	LastPauseTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=last_pause_time,json=lastPauseTime,proto3" json:"last_pause_time,omitempty"`
	// Output only. Timestamp when this Schedule was last resumed.
	// Unset if never resumed from pause.
	LastResumeTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=last_resume_time,json=lastResumeTime,proto3" json:"last_resume_time,omitempty"`
	// Required. Maximum number of runs that can be started concurrently for this
	// Schedule. This is the limit for starting the scheduled requests and not the
	// execution of the operations/jobs created by the requests (if applicable).
	MaxConcurrentRunCount int64 `protobuf:"varint,11,opt,name=max_concurrent_run_count,json=maxConcurrentRunCount,proto3" json:"max_concurrent_run_count,omitempty"`
	// Optional. Whether new scheduled runs can be queued when max_concurrent_runs
	// limit is reached. If set to true, new runs will be queued instead of
	// skipped. Default to false.
	AllowQueueing bool `protobuf:"varint,12,opt,name=allow_queueing,json=allowQueueing,proto3" json:"allow_queueing,omitempty"`
	// Output only. Whether to backfill missed runs when the schedule is resumed
	// from PAUSED state. If set to true, all missed runs will be scheduled. New
	// runs will be scheduled after the backfill is complete. Default to false.
	CatchUp bool `protobuf:"varint,13,opt,name=catch_up,json=catchUp,proto3" json:"catch_up,omitempty"`
	// Output only. Response of the last scheduled run.
	// This is the response for starting the scheduled requests and not the
	// execution of the operations/jobs created by the requests (if applicable).
	// Unset if no run has been scheduled yet.
	LastScheduledRunResponse *Schedule_RunResponse `protobuf:"bytes,18,opt,name=last_scheduled_run_response,json=lastScheduledRunResponse,proto3" json:"last_scheduled_run_response,omitempty"`
	// contains filtered or unexported fields
}

An instance of a Schedule periodically schedules runs to make API calls based on user specified time specification and API request type.

func (*Schedule) Descriptor 

func (*Schedule) Descriptor() ([]byte, []int)

Deprecated: Use Schedule.ProtoReflect.Descriptor instead.

func (*Schedule) GetAllowQueueing 

func (x *Schedule) GetAllowQueueing() bool

func (*Schedule) GetCatchUp 

func (x *Schedule) GetCatchUp() bool

func (*Schedule) GetCreateNotebookExecutionJobRequest 

func (x *Schedule) GetCreateNotebookExecutionJobRequest() *CreateNotebookExecutionJobRequest

func (*Schedule) GetCreatePipelineJobRequest 

func (x *Schedule) GetCreatePipelineJobRequest() *CreatePipelineJobRequest

func (*Schedule) GetCreateTime 

func (x *Schedule) GetCreateTime() *timestamppb.Timestamp

func (*Schedule) GetCron 

func (x *Schedule) GetCron() string

func (*Schedule) GetDisplayName 

func (x *Schedule) GetDisplayName() string

func (*Schedule) GetEndTime 

func (x *Schedule) GetEndTime() *timestamppb.Timestamp

func (*Schedule) GetLastPauseTime 

func (x *Schedule) GetLastPauseTime() *timestamppb.Timestamp

func (*Schedule) GetLastResumeTime 

func (x *Schedule) GetLastResumeTime() *timestamppb.Timestamp

func (*Schedule) GetLastScheduledRunResponse 

func (x *Schedule) GetLastScheduledRunResponse() *Schedule_RunResponse

func (*Schedule) GetMaxConcurrentRunCount 

func (x *Schedule) GetMaxConcurrentRunCount() int64

func (*Schedule) GetMaxRunCount 

func (x *Schedule) GetMaxRunCount() int64

func (*Schedule) GetName 

func (x *Schedule) GetName() string

func (*Schedule) GetNextRunTime 

func (x *Schedule) GetNextRunTime() *timestamppb.Timestamp

func (*Schedule) GetRequest 

func (m *Schedule) GetRequest() isSchedule_Request

func (*Schedule) GetStartTime 

func (x *Schedule) GetStartTime() *timestamppb.Timestamp

func (*Schedule) GetStartedRunCount 

func (x *Schedule) GetStartedRunCount() int64

func (*Schedule) GetState 

func (x *Schedule) GetState() Schedule_State

func (*Schedule) GetTimeSpecification 

func (m *Schedule) GetTimeSpecification() isSchedule_TimeSpecification

func (*Schedule) GetUpdateTime 

func (x *Schedule) GetUpdateTime() *timestamppb.Timestamp

func (*Schedule) ProtoMessage 

func (*Schedule) ProtoMessage()

func (*Schedule) ProtoReflect 

func (x *Schedule) ProtoReflect() protoreflect.Message

func (*Schedule) Reset 

func (x *Schedule) Reset()

func (*Schedule) String 

func (x *Schedule) String() string

type ScheduleServiceClient 

type ScheduleServiceClient interface {
	// Creates a Schedule.
	CreateSchedule(ctx context.Context, in *CreateScheduleRequest, opts ...grpc.CallOption) (*Schedule, error)
	// Deletes a Schedule.
	DeleteSchedule(ctx context.Context, in *DeleteScheduleRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Schedule.
	GetSchedule(ctx context.Context, in *GetScheduleRequest, opts ...grpc.CallOption) (*Schedule, error)
	// Lists Schedules in a Location.
	ListSchedules(ctx context.Context, in *ListSchedulesRequest, opts ...grpc.CallOption) (*ListSchedulesResponse, error)
	// Pauses a Schedule. Will mark
	// [Schedule.state][google.cloud.aiplatform.v1.Schedule.state] to 'PAUSED'. If
	// the schedule is paused, no new runs will be created. Already created runs
	// will NOT be paused or canceled.
	PauseSchedule(ctx context.Context, in *PauseScheduleRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Resumes a paused Schedule to start scheduling new runs. Will mark
	// [Schedule.state][google.cloud.aiplatform.v1.Schedule.state] to 'ACTIVE'.
	// Only paused Schedule can be resumed.
	//
	// When the Schedule is resumed, new runs will be scheduled starting from the
	// next execution time after the current time based on the time_specification
	// in the Schedule. If
	// [Schedule.catch_up][google.cloud.aiplatform.v1.Schedule.catch_up] is set up
	// true, all missed runs will be scheduled for backfill first.
	ResumeSchedule(ctx context.Context, in *ResumeScheduleRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Updates an active or paused Schedule.
	//
	// When the Schedule is updated, new runs will be scheduled starting from the
	// updated next execution time after the update time based on the
	// time_specification in the updated Schedule. All unstarted runs before the
	// update time will be skipped while already created runs will NOT be paused
	// or canceled.
	UpdateSchedule(ctx context.Context, in *UpdateScheduleRequest, opts ...grpc.CallOption) (*Schedule, error)
}

ScheduleServiceClient is the client API for ScheduleService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewScheduleServiceClient 

func NewScheduleServiceClient(cc grpc.ClientConnInterface) ScheduleServiceClient

type ScheduleServiceServer 

type ScheduleServiceServer interface {
	// Creates a Schedule.
	CreateSchedule(context.Context, *CreateScheduleRequest) (*Schedule, error)
	// Deletes a Schedule.
	DeleteSchedule(context.Context, *DeleteScheduleRequest) (*longrunningpb.Operation, error)
	// Gets a Schedule.
	GetSchedule(context.Context, *GetScheduleRequest) (*Schedule, error)
	// Lists Schedules in a Location.
	ListSchedules(context.Context, *ListSchedulesRequest) (*ListSchedulesResponse, error)
	// Pauses a Schedule. Will mark
	// [Schedule.state][google.cloud.aiplatform.v1.Schedule.state] to 'PAUSED'. If
	// the schedule is paused, no new runs will be created. Already created runs
	// will NOT be paused or canceled.
	PauseSchedule(context.Context, *PauseScheduleRequest) (*emptypb.Empty, error)
	// Resumes a paused Schedule to start scheduling new runs. Will mark
	// [Schedule.state][google.cloud.aiplatform.v1.Schedule.state] to 'ACTIVE'.
	// Only paused Schedule can be resumed.
	//
	// When the Schedule is resumed, new runs will be scheduled starting from the
	// next execution time after the current time based on the time_specification
	// in the Schedule. If
	// [Schedule.catch_up][google.cloud.aiplatform.v1.Schedule.catch_up] is set up
	// true, all missed runs will be scheduled for backfill first.
	ResumeSchedule(context.Context, *ResumeScheduleRequest) (*emptypb.Empty, error)
	// Updates an active or paused Schedule.
	//
	// When the Schedule is updated, new runs will be scheduled starting from the
	// updated next execution time after the update time based on the
	// time_specification in the updated Schedule. All unstarted runs before the
	// update time will be skipped while already created runs will NOT be paused
	// or canceled.
	UpdateSchedule(context.Context, *UpdateScheduleRequest) (*Schedule, error)
}

ScheduleServiceServer is the server API for ScheduleService service.

type Schedule_CreateNotebookExecutionJobRequest 

type Schedule_CreateNotebookExecutionJobRequest struct {
	// Request for
	// [NotebookService.CreateNotebookExecutionJob][google.cloud.aiplatform.v1.NotebookService.CreateNotebookExecutionJob].
	CreateNotebookExecutionJobRequest *CreateNotebookExecutionJobRequest `protobuf:"bytes,20,opt,name=create_notebook_execution_job_request,json=createNotebookExecutionJobRequest,proto3,oneof"`
}

type Schedule_CreatePipelineJobRequest 

type Schedule_CreatePipelineJobRequest struct {
	// Request for
	// [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
	// CreatePipelineJobRequest.parent field is required (format:
	// projects/{project}/locations/{location}).
	CreatePipelineJobRequest *CreatePipelineJobRequest `protobuf:"bytes,14,opt,name=create_pipeline_job_request,json=createPipelineJobRequest,proto3,oneof"`
}

type Schedule_Cron 

type Schedule_Cron struct {
	// Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled
	// runs. To explicitly set a timezone to the cron tab, apply a prefix in the
	// cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}".
	// The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone
	// database. For example, "CRON_TZ=America/New_York 1 * * * *", or
	// "TZ=America/New_York 1 * * * *".
	Cron string `protobuf:"bytes,10,opt,name=cron,proto3,oneof"`
}

type Schedule_RunResponse 

type Schedule_RunResponse struct {

	// The scheduled run time based on the user-specified schedule.
	ScheduledRunTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=scheduled_run_time,json=scheduledRunTime,proto3" json:"scheduled_run_time,omitempty"`
	// The response of the scheduled run.
	RunResponse string `protobuf:"bytes,2,opt,name=run_response,json=runResponse,proto3" json:"run_response,omitempty"`
	// contains filtered or unexported fields
}

Status of a scheduled run.

func (*Schedule_RunResponse) Descriptor 

func (*Schedule_RunResponse) Descriptor() ([]byte, []int)

Deprecated: Use Schedule_RunResponse.ProtoReflect.Descriptor instead.

func (*Schedule_RunResponse) GetRunResponse 

func (x *Schedule_RunResponse) GetRunResponse() string

func (*Schedule_RunResponse) GetScheduledRunTime 

func (x *Schedule_RunResponse) GetScheduledRunTime() *timestamppb.Timestamp

func (*Schedule_RunResponse) ProtoMessage 

func (*Schedule_RunResponse) ProtoMessage()

func (*Schedule_RunResponse) ProtoReflect 

func (x *Schedule_RunResponse) ProtoReflect() protoreflect.Message

func (*Schedule_RunResponse) Reset 

func (x *Schedule_RunResponse) Reset()

func (*Schedule_RunResponse) String 

func (x *Schedule_RunResponse) String() string

type Schedule_State 

type Schedule_State int32

Possible state of the schedule. 

const (
	// Unspecified.
	Schedule_STATE_UNSPECIFIED Schedule_State = 0
	// The Schedule is active. Runs are being scheduled on the user-specified
	// timespec.
	Schedule_ACTIVE Schedule_State = 1
	// The schedule is paused. No new runs will be created until the schedule
	// is resumed. Already started runs will be allowed to complete.
	Schedule_PAUSED Schedule_State = 2
	// The Schedule is completed. No new runs will be scheduled. Already started
	// runs will be allowed to complete. Schedules in completed state cannot be
	// paused or resumed.
	Schedule_COMPLETED Schedule_State = 3
)

func (Schedule_State) Descriptor 

func (Schedule_State) Descriptor() protoreflect.EnumDescriptor

func (Schedule_State) Enum 

func (x Schedule_State) Enum() *Schedule_State

func (Schedule_State) EnumDescriptor 

func (Schedule_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Schedule_State.Descriptor instead.

func (Schedule_State) Number 

func (x Schedule_State) Number() protoreflect.EnumNumber

func (Schedule_State) String 

func (x Schedule_State) String() string

func (Schedule_State) Type 

func (Schedule_State) Type() protoreflect.EnumType

type Scheduling 

type Scheduling struct {

	// Optional. The maximum job running time. The default is 7 days.
	Timeout *durationpb.Duration `protobuf:"bytes,1,opt,name=timeout,proto3" json:"timeout,omitempty"`
	// Optional. Restarts the entire CustomJob if a worker gets restarted.
	// This feature can be used by distributed training jobs that are not
	// resilient to workers leaving and joining a job.
	RestartJobOnWorkerRestart bool `protobuf:"varint,3,opt,name=restart_job_on_worker_restart,json=restartJobOnWorkerRestart,proto3" json:"restart_job_on_worker_restart,omitempty"`
	// Optional. This determines which type of scheduling strategy to use.
	Strategy Scheduling_Strategy `protobuf:"varint,4,opt,name=strategy,proto3,enum=google.cloud.aiplatform.v1.Scheduling_Strategy" json:"strategy,omitempty"`
	// Optional. Indicates if the job should retry for internal errors after the
	// job starts running. If true, overrides
	// `Scheduling.restart_job_on_worker_restart` to false.
	DisableRetries bool `protobuf:"varint,5,opt,name=disable_retries,json=disableRetries,proto3" json:"disable_retries,omitempty"`
	// Optional. This is the maximum duration that a job will wait for the
	// requested resources to be provisioned if the scheduling strategy is set to
	// [Strategy.DWS_FLEX_START].
	// If set to 0, the job will wait indefinitely. The default is 24 hours.
	MaxWaitDuration *durationpb.Duration `protobuf:"bytes,6,opt,name=max_wait_duration,json=maxWaitDuration,proto3" json:"max_wait_duration,omitempty"`
	// contains filtered or unexported fields
}

All parameters related to queuing and scheduling of custom jobs.

func (*Scheduling) Descriptor 

func (*Scheduling) Descriptor() ([]byte, []int)

Deprecated: Use Scheduling.ProtoReflect.Descriptor instead.

func (*Scheduling) GetDisableRetries 

func (x *Scheduling) GetDisableRetries() bool

func (*Scheduling) GetMaxWaitDuration 

func (x *Scheduling) GetMaxWaitDuration() *durationpb.Duration

func (*Scheduling) GetRestartJobOnWorkerRestart 

func (x *Scheduling) GetRestartJobOnWorkerRestart() bool

func (*Scheduling) GetStrategy 

func (x *Scheduling) GetStrategy() Scheduling_Strategy

func (*Scheduling) GetTimeout 

func (x *Scheduling) GetTimeout() *durationpb.Duration

func (*Scheduling) ProtoMessage 

func (*Scheduling) ProtoMessage()

func (*Scheduling) ProtoReflect 

func (x *Scheduling) ProtoReflect() protoreflect.Message

func (*Scheduling) Reset 

func (x *Scheduling) Reset()

func (*Scheduling) String 

func (x *Scheduling) String() string

type Scheduling_Strategy 

type Scheduling_Strategy int32

Optional. This determines which type of scheduling strategy to use. Right now users have two options such as STANDARD which will use regular on demand resources to schedule the job, the other is SPOT which would leverage spot resources alongwith regular resources to schedule the job. 

const (
	// Strategy will default to STANDARD.
	Scheduling_STRATEGY_UNSPECIFIED Scheduling_Strategy = 0
	// Deprecated. Regular on-demand provisioning strategy.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/custom_job.proto.
	Scheduling_ON_DEMAND Scheduling_Strategy = 1
	// Deprecated. Low cost by making potential use of spot resources.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/custom_job.proto.
	Scheduling_LOW_COST Scheduling_Strategy = 2
	// Standard provisioning strategy uses regular on-demand resources.
	Scheduling_STANDARD Scheduling_Strategy = 3
	// Spot provisioning strategy uses spot resources.
	Scheduling_SPOT Scheduling_Strategy = 4
	// Flex Start strategy uses DWS to queue for resources.
	Scheduling_FLEX_START Scheduling_Strategy = 6
)

func (Scheduling_Strategy) Descriptor 

func (Scheduling_Strategy) Descriptor() protoreflect.EnumDescriptor

func (Scheduling_Strategy) Enum 

func (x Scheduling_Strategy) Enum() *Scheduling_Strategy

func (Scheduling_Strategy) EnumDescriptor 

func (Scheduling_Strategy) EnumDescriptor() ([]byte, []int)

Deprecated: Use Scheduling_Strategy.Descriptor instead.

func (Scheduling_Strategy) Number 

func (x Scheduling_Strategy) Number() protoreflect.EnumNumber

func (Scheduling_Strategy) String 

func (x Scheduling_Strategy) String() string

func (Scheduling_Strategy) Type 

func (Scheduling_Strategy) Type() protoreflect.EnumType

type Schema 

type Schema struct {

	// Optional. The type of the data.
	Type Type `protobuf:"varint,1,opt,name=type,proto3,enum=google.cloud.aiplatform.v1.Type" json:"type,omitempty"`
	// Optional. The format of the data.
	// Supported formats:
	//
	//	for NUMBER type: "float", "double"
	//	for INTEGER type: "int32", "int64"
	//	for STRING type: "email", "byte", etc
	Format string `protobuf:"bytes,7,opt,name=format,proto3" json:"format,omitempty"`
	// Optional. The title of the Schema.
	Title string `protobuf:"bytes,24,opt,name=title,proto3" json:"title,omitempty"`
	// Optional. The description of the data.
	Description string `protobuf:"bytes,8,opt,name=description,proto3" json:"description,omitempty"`
	// Optional. Indicates if the value may be null.
	Nullable bool `protobuf:"varint,6,opt,name=nullable,proto3" json:"nullable,omitempty"`
	// Optional. Default value of the data.
	Default *structpb.Value `protobuf:"bytes,23,opt,name=default,proto3" json:"default,omitempty"`
	// Optional. SCHEMA FIELDS FOR TYPE ARRAY
	// Schema of the elements of Type.ARRAY.
	Items *Schema `protobuf:"bytes,2,opt,name=items,proto3" json:"items,omitempty"`
	// Optional. Minimum number of the elements for Type.ARRAY.
	MinItems int64 `protobuf:"varint,21,opt,name=min_items,json=minItems,proto3" json:"min_items,omitempty"`
	// Optional. Maximum number of the elements for Type.ARRAY.
	MaxItems int64 `protobuf:"varint,22,opt,name=max_items,json=maxItems,proto3" json:"max_items,omitempty"`
	// Optional. Possible values of the element of primitive type with enum
	// format. Examples:
	// 1. We can define direction as :
	// {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]}
	// 2. We can define apartment number as :
	// {type:INTEGER, format:enum, enum:["101", "201", "301"]}
	Enum []string `protobuf:"bytes,9,rep,name=enum,proto3" json:"enum,omitempty"`
	// Optional. SCHEMA FIELDS FOR TYPE OBJECT
	// Properties of Type.OBJECT.
	Properties map[string]*Schema `protobuf:"bytes,3,rep,name=properties,proto3" json:"properties,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Optional. The order of the properties.
	// Not a standard field in open api spec. Only used to support the order of
	// the properties.
	PropertyOrdering []string `protobuf:"bytes,25,rep,name=property_ordering,json=propertyOrdering,proto3" json:"property_ordering,omitempty"`
	// Optional. Required properties of Type.OBJECT.
	Required []string `protobuf:"bytes,5,rep,name=required,proto3" json:"required,omitempty"`
	// Optional. Minimum number of the properties for Type.OBJECT.
	MinProperties int64 `protobuf:"varint,14,opt,name=min_properties,json=minProperties,proto3" json:"min_properties,omitempty"`
	// Optional. Maximum number of the properties for Type.OBJECT.
	MaxProperties int64 `protobuf:"varint,15,opt,name=max_properties,json=maxProperties,proto3" json:"max_properties,omitempty"`
	// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER
	// Minimum value of the Type.INTEGER and Type.NUMBER
	Minimum float64 `protobuf:"fixed64,16,opt,name=minimum,proto3" json:"minimum,omitempty"`
	// Optional. Maximum value of the Type.INTEGER and Type.NUMBER
	Maximum float64 `protobuf:"fixed64,17,opt,name=maximum,proto3" json:"maximum,omitempty"`
	// Optional. SCHEMA FIELDS FOR TYPE STRING
	// Minimum length of the Type.STRING
	MinLength int64 `protobuf:"varint,18,opt,name=min_length,json=minLength,proto3" json:"min_length,omitempty"`
	// Optional. Maximum length of the Type.STRING
	MaxLength int64 `protobuf:"varint,19,opt,name=max_length,json=maxLength,proto3" json:"max_length,omitempty"`
	// Optional. Pattern of the Type.STRING to restrict a string to a regular
	// expression.
	Pattern string `protobuf:"bytes,20,opt,name=pattern,proto3" json:"pattern,omitempty"`
	// Optional. Example of the object. Will only populated when the object is the
	// root.
	Example *structpb.Value `protobuf:"bytes,4,opt,name=example,proto3" json:"example,omitempty"`
	// Optional. The value should be validated against any (one or more) of the
	// subschemas in the list.
	AnyOf []*Schema `protobuf:"bytes,11,rep,name=any_of,json=anyOf,proto3" json:"any_of,omitempty"`
	// contains filtered or unexported fields
}

Schema is used to define the format of input/output data. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema-object). More fields may be added in the future as needed.

func (*Schema) Descriptor 

func (*Schema) Descriptor() ([]byte, []int)

Deprecated: Use Schema.ProtoReflect.Descriptor instead.

func (*Schema) GetAnyOf 

func (x *Schema) GetAnyOf() []*Schema

func (*Schema) GetDefault 

func (x *Schema) GetDefault() *structpb.Value

func (*Schema) GetDescription 

func (x *Schema) GetDescription() string

func (*Schema) GetEnum 

func (x *Schema) GetEnum() []string

func (*Schema) GetExample 

func (x *Schema) GetExample() *structpb.Value

func (*Schema) GetFormat 

func (x *Schema) GetFormat() string

func (*Schema) GetItems 

func (x *Schema) GetItems() *Schema

func (*Schema) GetMaxItems 

func (x *Schema) GetMaxItems() int64

func (*Schema) GetMaxLength 

func (x *Schema) GetMaxLength() int64

func (*Schema) GetMaxProperties 

func (x *Schema) GetMaxProperties() int64

func (*Schema) GetMaximum 

func (x *Schema) GetMaximum() float64

func (*Schema) GetMinItems 

func (x *Schema) GetMinItems() int64

func (*Schema) GetMinLength 

func (x *Schema) GetMinLength() int64

func (*Schema) GetMinProperties 

func (x *Schema) GetMinProperties() int64

func (*Schema) GetMinimum 

func (x *Schema) GetMinimum() float64

func (*Schema) GetNullable 

func (x *Schema) GetNullable() bool

func (*Schema) GetPattern 

func (x *Schema) GetPattern() string

func (*Schema) GetProperties 

func (x *Schema) GetProperties() map[string]*Schema

func (*Schema) GetPropertyOrdering 

func (x *Schema) GetPropertyOrdering() []string

func (*Schema) GetRequired 

func (x *Schema) GetRequired() []string

func (*Schema) GetTitle 

func (x *Schema) GetTitle() string

func (*Schema) GetType 

func (x *Schema) GetType() Type

func (*Schema) ProtoMessage 

func (*Schema) ProtoMessage()

func (*Schema) ProtoReflect 

func (x *Schema) ProtoReflect() protoreflect.Message

func (*Schema) Reset 

func (x *Schema) Reset()

func (*Schema) String 

func (x *Schema) String() string

type SearchDataItemsRequest 

type SearchDataItemsRequest struct {

	// Types that are assignable to Order:
	//
	//	*SearchDataItemsRequest_OrderByDataItem
	//	*SearchDataItemsRequest_OrderByAnnotation_
	Order isSearchDataItemsRequest_Order `protobuf_oneof:"order"`
	// Required. The resource name of the Dataset from which to search DataItems.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// The resource name of a SavedQuery(annotation set in UI).
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}`
	// All of the search will be done in the context of this SavedQuery.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
	SavedQuery string `protobuf:"bytes,2,opt,name=saved_query,json=savedQuery,proto3" json:"saved_query,omitempty"`
	// The resource name of a DataLabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	// If this field is set, all of the search will be done in the context of
	// this DataLabelingJob.
	DataLabelingJob string `protobuf:"bytes,3,opt,name=data_labeling_job,json=dataLabelingJob,proto3" json:"data_labeling_job,omitempty"`
	// An expression for filtering the DataItem that will be returned.
	//
	//   - `data_item_id` - for = or !=.
	//   - `labeled` - for = or !=.
	//   - `has_annotation(ANNOTATION_SPEC_ID)` - true only for DataItem that
	//     have at least one annotation with annotation_spec_id =
	//     `ANNOTATION_SPEC_ID` in the context of SavedQuery or DataLabelingJob.
	//
	// For example:
	//
	// * `data_item=1`
	// * `has_annotation(5)`
	DataItemFilter string `protobuf:"bytes,4,opt,name=data_item_filter,json=dataItemFilter,proto3" json:"data_item_filter,omitempty"`
	// An expression for filtering the Annotations that will be returned per
	// DataItem.
	//   - `annotation_spec_id` - for = or !=.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
	AnnotationsFilter string `protobuf:"bytes,5,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
	// An expression that specifies what Annotations will be returned per
	// DataItem. Annotations satisfied either of the conditions will be returned.
	//   - `annotation_spec_id` - for = or !=.
	//
	// Must specify `saved_query_id=` - saved query id that annotations should
	// belong to.
	AnnotationFilters []string `protobuf:"bytes,11,rep,name=annotation_filters,json=annotationFilters,proto3" json:"annotation_filters,omitempty"`
	// Mask specifying which fields of
	// [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
	FieldMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=field_mask,json=fieldMask,proto3" json:"field_mask,omitempty"`
	// If set, only up to this many of Annotations will be returned per
	// DataItemView. The maximum value is 1000. If not set, the maximum value will
	// be used.
	AnnotationsLimit int32 `protobuf:"varint,7,opt,name=annotations_limit,json=annotationsLimit,proto3" json:"annotations_limit,omitempty"`
	// Requested page size. Server may return fewer results than requested.
	// Default and maximum page size is 100.
	PageSize int32 `protobuf:"varint,8,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
	OrderBy string `protobuf:"bytes,9,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// A token identifying a page of results for the server to return
	// Typically obtained via
	// [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
	// of the previous
	// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
	// call.
	PageToken string `protobuf:"bytes,10,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].

func (*SearchDataItemsRequest) Descriptor 

func (*SearchDataItemsRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchDataItemsRequest.ProtoReflect.Descriptor instead.

func (*SearchDataItemsRequest) GetAnnotationFilters 

func (x *SearchDataItemsRequest) GetAnnotationFilters() []string

func (*SearchDataItemsRequest) GetAnnotationsFilter 

func (x *SearchDataItemsRequest) GetAnnotationsFilter() string

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.

func (*SearchDataItemsRequest) GetAnnotationsLimit 

func (x *SearchDataItemsRequest) GetAnnotationsLimit() int32

func (*SearchDataItemsRequest) GetDataItemFilter 

func (x *SearchDataItemsRequest) GetDataItemFilter() string

func (*SearchDataItemsRequest) GetDataLabelingJob 

func (x *SearchDataItemsRequest) GetDataLabelingJob() string

func (*SearchDataItemsRequest) GetDataset 

func (x *SearchDataItemsRequest) GetDataset() string

func (*SearchDataItemsRequest) GetFieldMask 

func (x *SearchDataItemsRequest) GetFieldMask() *fieldmaskpb.FieldMask

func (*SearchDataItemsRequest) GetOrder 

func (m *SearchDataItemsRequest) GetOrder() isSearchDataItemsRequest_Order

func (*SearchDataItemsRequest) GetOrderBy 

func (x *SearchDataItemsRequest) GetOrderBy() string

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.

func (*SearchDataItemsRequest) GetOrderByAnnotation 

func (x *SearchDataItemsRequest) GetOrderByAnnotation() *SearchDataItemsRequest_OrderByAnnotation

func (*SearchDataItemsRequest) GetOrderByDataItem 

func (x *SearchDataItemsRequest) GetOrderByDataItem() string

func (*SearchDataItemsRequest) GetPageSize 

func (x *SearchDataItemsRequest) GetPageSize() int32

func (*SearchDataItemsRequest) GetPageToken 

func (x *SearchDataItemsRequest) GetPageToken() string

func (*SearchDataItemsRequest) GetSavedQuery 

func (x *SearchDataItemsRequest) GetSavedQuery() string

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.

func (*SearchDataItemsRequest) ProtoMessage 

func (*SearchDataItemsRequest) ProtoMessage()

func (*SearchDataItemsRequest) ProtoReflect 

func (x *SearchDataItemsRequest) ProtoReflect() protoreflect.Message

func (*SearchDataItemsRequest) Reset 

func (x *SearchDataItemsRequest) Reset()

func (*SearchDataItemsRequest) String 

func (x *SearchDataItemsRequest) String() string

type SearchDataItemsRequest_OrderByAnnotation 

type SearchDataItemsRequest_OrderByAnnotation struct {

	// Required. Saved query of the Annotation. Only Annotations belong to this
	// saved query will be considered for ordering.
	SavedQuery string `protobuf:"bytes,1,opt,name=saved_query,json=savedQuery,proto3" json:"saved_query,omitempty"`
	// A comma-separated list of annotation fields to order by, sorted in
	// ascending order. Use "desc" after a field name for descending. Must also
	// specify saved_query.
	OrderBy string `protobuf:"bytes,2,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Expression that allows ranking results based on annotation's property.

func (*SearchDataItemsRequest_OrderByAnnotation) Descriptor 

func (*SearchDataItemsRequest_OrderByAnnotation) Descriptor() ([]byte, []int)

Deprecated: Use SearchDataItemsRequest_OrderByAnnotation.ProtoReflect.Descriptor instead.

func (*SearchDataItemsRequest_OrderByAnnotation) GetOrderBy 

func (x *SearchDataItemsRequest_OrderByAnnotation) GetOrderBy() string

func (*SearchDataItemsRequest_OrderByAnnotation) GetSavedQuery 

func (x *SearchDataItemsRequest_OrderByAnnotation) GetSavedQuery() string

func (*SearchDataItemsRequest_OrderByAnnotation) ProtoMessage 

func (*SearchDataItemsRequest_OrderByAnnotation) ProtoMessage()

func (*SearchDataItemsRequest_OrderByAnnotation) ProtoReflect 

func (x *SearchDataItemsRequest_OrderByAnnotation) ProtoReflect() protoreflect.Message

func (*SearchDataItemsRequest_OrderByAnnotation) Reset 

func (x *SearchDataItemsRequest_OrderByAnnotation) Reset()

func (*SearchDataItemsRequest_OrderByAnnotation) String 

func (x *SearchDataItemsRequest_OrderByAnnotation) String() string

type SearchDataItemsRequest_OrderByAnnotation_ 

type SearchDataItemsRequest_OrderByAnnotation_ struct {
	// Expression that allows ranking results based on annotation's property.
	OrderByAnnotation *SearchDataItemsRequest_OrderByAnnotation `protobuf:"bytes,13,opt,name=order_by_annotation,json=orderByAnnotation,proto3,oneof"`
}

type SearchDataItemsRequest_OrderByDataItem 

type SearchDataItemsRequest_OrderByDataItem struct {
	// A comma-separated list of data item fields to order by, sorted in
	// ascending order. Use "desc" after a field name for descending.
	OrderByDataItem string `protobuf:"bytes,12,opt,name=order_by_data_item,json=orderByDataItem,proto3,oneof"`
}

type SearchDataItemsResponse 

type SearchDataItemsResponse struct {

	// The DataItemViews read.
	DataItemViews []*DataItemView `protobuf:"bytes,1,rep,name=data_item_views,json=dataItemViews,proto3" json:"data_item_views,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].

func (*SearchDataItemsResponse) Descriptor 

func (*SearchDataItemsResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchDataItemsResponse.ProtoReflect.Descriptor instead.

func (*SearchDataItemsResponse) GetDataItemViews 

func (x *SearchDataItemsResponse) GetDataItemViews() []*DataItemView

func (*SearchDataItemsResponse) GetNextPageToken 

func (x *SearchDataItemsResponse) GetNextPageToken() string

func (*SearchDataItemsResponse) ProtoMessage 

func (*SearchDataItemsResponse) ProtoMessage()

func (*SearchDataItemsResponse) ProtoReflect 

func (x *SearchDataItemsResponse) ProtoReflect() protoreflect.Message

func (*SearchDataItemsResponse) Reset 

func (x *SearchDataItemsResponse) Reset()

func (*SearchDataItemsResponse) String 

func (x *SearchDataItemsResponse) String() string

type SearchEntryPoint 

type SearchEntryPoint struct {

	// Optional. Web content snippet that can be embedded in a web page or an app
	// webview.
	RenderedContent string `protobuf:"bytes,1,opt,name=rendered_content,json=renderedContent,proto3" json:"rendered_content,omitempty"`
	// Optional. Base64 encoded JSON representing array of <search term, search
	// url> tuple.
	SdkBlob []byte `protobuf:"bytes,2,opt,name=sdk_blob,json=sdkBlob,proto3" json:"sdk_blob,omitempty"`
	// contains filtered or unexported fields
}

Google search entry point.

func (*SearchEntryPoint) Descriptor 

func (*SearchEntryPoint) Descriptor() ([]byte, []int)

Deprecated: Use SearchEntryPoint.ProtoReflect.Descriptor instead.

func (*SearchEntryPoint) GetRenderedContent 

func (x *SearchEntryPoint) GetRenderedContent() string

func (*SearchEntryPoint) GetSdkBlob 

func (x *SearchEntryPoint) GetSdkBlob() []byte

func (*SearchEntryPoint) ProtoMessage 

func (*SearchEntryPoint) ProtoMessage()

func (*SearchEntryPoint) ProtoReflect 

func (x *SearchEntryPoint) ProtoReflect() protoreflect.Message

func (*SearchEntryPoint) Reset 

func (x *SearchEntryPoint) Reset()

func (*SearchEntryPoint) String 

func (x *SearchEntryPoint) String() string

type SearchFeaturesRequest 

type SearchFeaturesRequest struct {

	// Required. The resource name of the Location to search Features.
	// Format:
	// `projects/{project}/locations/{location}`
	Location string `protobuf:"bytes,1,opt,name=location,proto3" json:"location,omitempty"`
	// Query string that is a conjunction of field-restricted queries and/or
	// field-restricted filters.  Field-restricted queries and filters can be
	// combined using `AND` to form a conjunction.
	//
	// A field query is in the form FIELD:QUERY. This implicitly checks if QUERY
	// exists as a substring within Feature's FIELD. The QUERY
	// and the FIELD are converted to a sequence of words (i.e. tokens) for
	// comparison. This is done by:
	//
	//   - Removing leading/trailing whitespace and tokenizing the search value.
	//     Characters that are not one of alphanumeric `[a-zA-Z0-9]`, underscore
	//     `_`, or asterisk `*` are treated as delimiters for tokens. `*` is treated
	//     as a wildcard that matches characters within a token.
	//   - Ignoring case.
	//   - Prepending an asterisk to the first and appending an asterisk to the
	//     last token in QUERY.
	//
	// A QUERY must be either a singular token or a phrase. A phrase is one or
	// multiple words enclosed in double quotation marks ("). With phrases, the
	// order of the words is important. Words in the phrase must be matching in
	// order and consecutively.
	//
	// Supported FIELDs for field-restricted queries:
	//
	// * `feature_id`
	// * `description`
	// * `entity_type_id`
	//
	// Examples:
	//
	// * `feature_id: foo` --> Matches a Feature with ID containing the substring
	// `foo` (eg. `foo`, `foofeature`, `barfoo`).
	// * `feature_id: foo*feature` --> Matches a Feature with ID containing the
	// substring `foo*feature` (eg. `foobarfeature`).
	// * `feature_id: foo AND description: bar` --> Matches a Feature with ID
	// containing the substring `foo` and description containing the substring
	// `bar`.
	//
	// Besides field queries, the following exact-match filters are
	// supported. The exact-match filters do not support wildcards. Unlike
	// field-restricted queries, exact-match filters are case-sensitive.
	//
	// * `feature_id`: Supports = comparisons.
	// * `description`: Supports = comparisons. Multi-token filters should be
	// enclosed in quotes.
	// * `entity_type_id`: Supports = comparisons.
	// * `value_type`: Supports = and != comparisons.
	// * `labels`: Supports key-value equality as well as key presence.
	// * `featurestore_id`: Supports = comparisons.
	//
	// Examples:
	//
	// * `description = "foo bar"` --> Any Feature with description exactly equal
	// to `foo bar`
	//   - `value_type = DOUBLE` --> Features whose type is DOUBLE.
	//   - `labels.active = yes AND labels.env = prod` --> Features having both
	//     (active: yes) and (env: prod) labels.
	//   - `labels.env: *` --> Any Feature which has a label with `env` as the
	//     key.
	Query string `protobuf:"bytes,3,opt,name=query,proto3" json:"query,omitempty"`
	// The maximum number of Features to return. The service may return fewer
	// than this value. If unspecified, at most 100 Features will be returned.
	// The maximum value is 100; any value greater than 100 will be coerced to
	// 100.
	PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
	// except `page_size`, must match the call that provided the page token.
	PageToken string `protobuf:"bytes,5,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].

func (*SearchFeaturesRequest) Descriptor 

func (*SearchFeaturesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchFeaturesRequest.ProtoReflect.Descriptor instead.

func (*SearchFeaturesRequest) GetLocation 

func (x *SearchFeaturesRequest) GetLocation() string

func (*SearchFeaturesRequest) GetPageSize 

func (x *SearchFeaturesRequest) GetPageSize() int32

func (*SearchFeaturesRequest) GetPageToken 

func (x *SearchFeaturesRequest) GetPageToken() string

func (*SearchFeaturesRequest) GetQuery 

func (x *SearchFeaturesRequest) GetQuery() string

func (*SearchFeaturesRequest) ProtoMessage 

func (*SearchFeaturesRequest) ProtoMessage()

func (*SearchFeaturesRequest) ProtoReflect 

func (x *SearchFeaturesRequest) ProtoReflect() protoreflect.Message

func (*SearchFeaturesRequest) Reset 

func (x *SearchFeaturesRequest) Reset()

func (*SearchFeaturesRequest) String 

func (x *SearchFeaturesRequest) String() string

type SearchFeaturesResponse 

type SearchFeaturesResponse struct {

	// The Features matching the request.
	//
	// Fields returned:
	//
	//   - `name`
	//   - `description`
	//   - `labels`
	//   - `create_time`
	//   - `update_time`
	Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// A token, which can be sent as
	// [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].

func (*SearchFeaturesResponse) Descriptor 

func (*SearchFeaturesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchFeaturesResponse.ProtoReflect.Descriptor instead.

func (*SearchFeaturesResponse) GetFeatures 

func (x *SearchFeaturesResponse) GetFeatures() []*Feature

func (*SearchFeaturesResponse) GetNextPageToken 

func (x *SearchFeaturesResponse) GetNextPageToken() string

func (*SearchFeaturesResponse) ProtoMessage 

func (*SearchFeaturesResponse) ProtoMessage()

func (*SearchFeaturesResponse) ProtoReflect 

func (x *SearchFeaturesResponse) ProtoReflect() protoreflect.Message

func (*SearchFeaturesResponse) Reset 

func (x *SearchFeaturesResponse) Reset()

func (*SearchFeaturesResponse) String 

func (x *SearchFeaturesResponse) String() string

type SearchMigratableResourcesRequest 

type SearchMigratableResourcesRequest struct {

	// Required. The location that the migratable resources should be searched
	// from. It's the Vertex AI location that the resources can be migrated to,
	// not the resources' original location. Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard page size.
	// The default and maximum value is 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard page token.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A filter for your search. You can use the following types of filters:
	//
	//   - Resource type filters. The following strings filter for a specific type
	//     of [MigratableResource][google.cloud.aiplatform.v1.MigratableResource]:
	//   - `ml_engine_model_version:*`
	//   - `automl_model:*`
	//   - `automl_dataset:*`
	//   - `data_labeling_dataset:*`
	//   - "Migrated or not" filters. The following strings filter for resources
	//     that either have or have not already been migrated:
	//   - `last_migrate_time:*` filters for migrated resources.
	//   - `NOT last_migrate_time:*` filters for not yet migrated resources.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].

func (*SearchMigratableResourcesRequest) Descriptor 

func (*SearchMigratableResourcesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchMigratableResourcesRequest.ProtoReflect.Descriptor instead.

func (*SearchMigratableResourcesRequest) GetFilter 

func (x *SearchMigratableResourcesRequest) GetFilter() string

func (*SearchMigratableResourcesRequest) GetPageSize 

func (x *SearchMigratableResourcesRequest) GetPageSize() int32

func (*SearchMigratableResourcesRequest) GetPageToken 

func (x *SearchMigratableResourcesRequest) GetPageToken() string

func (*SearchMigratableResourcesRequest) GetParent 

func (x *SearchMigratableResourcesRequest) GetParent() string

func (*SearchMigratableResourcesRequest) ProtoMessage 

func (*SearchMigratableResourcesRequest) ProtoMessage()

func (*SearchMigratableResourcesRequest) ProtoReflect 

func (x *SearchMigratableResourcesRequest) ProtoReflect() protoreflect.Message

func (*SearchMigratableResourcesRequest) Reset 

func (x *SearchMigratableResourcesRequest) Reset()

func (*SearchMigratableResourcesRequest) String 

func (x *SearchMigratableResourcesRequest) String() string

type SearchMigratableResourcesResponse 

type SearchMigratableResourcesResponse struct {

	// All migratable resources that can be migrated to the
	// location specified in the request.
	MigratableResources []*MigratableResource `protobuf:"bytes,1,rep,name=migratable_resources,json=migratableResources,proto3" json:"migratable_resources,omitempty"`
	// The standard next-page token.
	// The migratable_resources may not fill page_size in
	// SearchMigratableResourcesRequest even when there are subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].

func (*SearchMigratableResourcesResponse) Descriptor 

func (*SearchMigratableResourcesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchMigratableResourcesResponse.ProtoReflect.Descriptor instead.

func (*SearchMigratableResourcesResponse) GetMigratableResources 

func (x *SearchMigratableResourcesResponse) GetMigratableResources() []*MigratableResource

func (*SearchMigratableResourcesResponse) GetNextPageToken 

func (x *SearchMigratableResourcesResponse) GetNextPageToken() string

func (*SearchMigratableResourcesResponse) ProtoMessage 

func (*SearchMigratableResourcesResponse) ProtoMessage()

func (*SearchMigratableResourcesResponse) ProtoReflect 

func (x *SearchMigratableResourcesResponse) ProtoReflect() protoreflect.Message

func (*SearchMigratableResourcesResponse) Reset 

func (x *SearchMigratableResourcesResponse) Reset()

func (*SearchMigratableResourcesResponse) String 

func (x *SearchMigratableResourcesResponse) String() string

type SearchModelDeploymentMonitoringStatsAnomaliesRequest 

type SearchModelDeploymentMonitoringStatsAnomaliesRequest struct {

	// Required. ModelDeploymentMonitoring Job resource name.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	ModelDeploymentMonitoringJob string `protobuf:"bytes,1,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"`
	// Required. The DeployedModel ID of the
	// [ModelDeploymentMonitoringObjectiveConfig.deployed_model_id].
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The feature display name. If specified, only return the stats belonging to
	// this feature. Format:
	// [ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.feature_display_name][google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.feature_display_name],
	// example: "user_destination".
	FeatureDisplayName string `protobuf:"bytes,3,opt,name=feature_display_name,json=featureDisplayName,proto3" json:"feature_display_name,omitempty"`
	// Required. Objectives of the stats to retrieve.
	Objectives []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective `protobuf:"bytes,4,rep,name=objectives,proto3" json:"objectives,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,5,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token received from a previous
	// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]
	// call.
	PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// The earliest timestamp of stats being generated.
	// If not set, indicates fetching stats till the earliest possible one.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// The latest timestamp of stats being generated.
	// If not set, indicates feching stats till the latest possible one.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Descriptor 

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesRequest.ProtoReflect.Descriptor instead.

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetDeployedModelId 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetDeployedModelId() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetEndTime 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetEndTime() *timestamppb.Timestamp

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetFeatureDisplayName 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetFeatureDisplayName() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetModelDeploymentMonitoringJob 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetModelDeploymentMonitoringJob() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetObjectives 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetObjectives() []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageSize 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageSize() int32

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageToken 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageToken() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetStartTime 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetStartTime() *timestamppb.Timestamp

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoMessage 

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoMessage()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoReflect 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoReflect() protoreflect.Message

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Reset 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) Reset()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) String 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) String() string

type SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective 

type SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective struct {
	Type ModelDeploymentMonitoringObjectiveType `protobuf:"varint,1,opt,name=type,proto3,enum=google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType" json:"type,omitempty"`
	// If set, all attribution scores between
	// [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
	// and
	// [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
	// are fetched, and page token doesn't take effect in this case. Only used
	// to retrieve attribution score for the top Features which has the highest
	// attribution score in the latest monitoring run.
	TopFeatureCount int32 `protobuf:"varint,4,opt,name=top_feature_count,json=topFeatureCount,proto3" json:"top_feature_count,omitempty"`
	// contains filtered or unexported fields
}

Stats requested for specific objective.

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Descriptor 

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Descriptor() ([]byte, []int)

Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective.ProtoReflect.Descriptor instead.

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetTopFeatureCount 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetTopFeatureCount() int32

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetType 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetType() ModelDeploymentMonitoringObjectiveType

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoMessage 

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoMessage()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoReflect 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoReflect() protoreflect.Message

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Reset 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Reset()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) String 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) String() string

type SearchModelDeploymentMonitoringStatsAnomaliesResponse 

type SearchModelDeploymentMonitoringStatsAnomaliesResponse struct {

	// Stats retrieved for requested objectives.
	// There are at most 1000
	// [ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats][google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats]
	// in the response.
	MonitoringStats []*ModelMonitoringStatsAnomalies `protobuf:"bytes,1,rep,name=monitoring_stats,json=monitoringStats,proto3" json:"monitoring_stats,omitempty"`
	// The page token that can be used by the next
	// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]
	// call.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Descriptor 

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesResponse.ProtoReflect.Descriptor instead.

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetMonitoringStats 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetMonitoringStats() []*ModelMonitoringStatsAnomalies

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetNextPageToken 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetNextPageToken() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoMessage 

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoMessage()

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoReflect 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoReflect() protoreflect.Message

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Reset 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) Reset()

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) String 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) String() string

type SearchNearestEntitiesRequest 

type SearchNearestEntitiesRequest struct {

	// Required. FeatureView resource format
	// `projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}/featureViews/{featureView}`
	FeatureView string `protobuf:"bytes,1,opt,name=feature_view,json=featureView,proto3" json:"feature_view,omitempty"`
	// Required. The query.
	Query *NearestNeighborQuery `protobuf:"bytes,2,opt,name=query,proto3" json:"query,omitempty"`
	// Optional. If set to true, the full entities (including all vector values
	// and metadata) of the nearest neighbors are returned; otherwise only entity
	// id of the nearest neighbors will be returned. Note that returning full
	// entities will significantly increase the latency and cost of the query.
	ReturnFullEntity bool `protobuf:"varint,3,opt,name=return_full_entity,json=returnFullEntity,proto3" json:"return_full_entity,omitempty"`
	// contains filtered or unexported fields
}

The request message for [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities].

func (*SearchNearestEntitiesRequest) Descriptor 

func (*SearchNearestEntitiesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchNearestEntitiesRequest.ProtoReflect.Descriptor instead.

func (*SearchNearestEntitiesRequest) GetFeatureView 

func (x *SearchNearestEntitiesRequest) GetFeatureView() string

func (*SearchNearestEntitiesRequest) GetQuery 

func (x *SearchNearestEntitiesRequest) GetQuery() *NearestNeighborQuery

func (*SearchNearestEntitiesRequest) GetReturnFullEntity 

func (x *SearchNearestEntitiesRequest) GetReturnFullEntity() bool

func (*SearchNearestEntitiesRequest) ProtoMessage 

func (*SearchNearestEntitiesRequest) ProtoMessage()

func (*SearchNearestEntitiesRequest) ProtoReflect 

func (x *SearchNearestEntitiesRequest) ProtoReflect() protoreflect.Message

func (*SearchNearestEntitiesRequest) Reset 

func (x *SearchNearestEntitiesRequest) Reset()

func (*SearchNearestEntitiesRequest) String 

func (x *SearchNearestEntitiesRequest) String() string

type SearchNearestEntitiesResponse 

type SearchNearestEntitiesResponse struct {

	// The nearest neighbors of the query entity.
	NearestNeighbors *NearestNeighbors `protobuf:"bytes,1,opt,name=nearest_neighbors,json=nearestNeighbors,proto3" json:"nearest_neighbors,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities]

func (*SearchNearestEntitiesResponse) Descriptor 

func (*SearchNearestEntitiesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchNearestEntitiesResponse.ProtoReflect.Descriptor instead.

func (*SearchNearestEntitiesResponse) GetNearestNeighbors 

func (x *SearchNearestEntitiesResponse) GetNearestNeighbors() *NearestNeighbors

func (*SearchNearestEntitiesResponse) ProtoMessage 

func (*SearchNearestEntitiesResponse) ProtoMessage()

func (*SearchNearestEntitiesResponse) ProtoReflect 

func (x *SearchNearestEntitiesResponse) ProtoReflect() protoreflect.Message

func (*SearchNearestEntitiesResponse) Reset 

func (x *SearchNearestEntitiesResponse) Reset()

func (*SearchNearestEntitiesResponse) String 

func (x *SearchNearestEntitiesResponse) String() string

type Segment 

type Segment struct {

	// Output only. The index of a Part object within its parent Content object.
	PartIndex int32 `protobuf:"varint,1,opt,name=part_index,json=partIndex,proto3" json:"part_index,omitempty"`
	// Output only. Start index in the given Part, measured in bytes. Offset from
	// the start of the Part, inclusive, starting at zero.
	StartIndex int32 `protobuf:"varint,2,opt,name=start_index,json=startIndex,proto3" json:"start_index,omitempty"`
	// Output only. End index in the given Part, measured in bytes. Offset from
	// the start of the Part, exclusive, starting at zero.
	EndIndex int32 `protobuf:"varint,3,opt,name=end_index,json=endIndex,proto3" json:"end_index,omitempty"`
	// Output only. The text corresponding to the segment from the response.
	Text string `protobuf:"bytes,4,opt,name=text,proto3" json:"text,omitempty"`
	// contains filtered or unexported fields
}

Segment of the content.

func (*Segment) Descriptor 

func (*Segment) Descriptor() ([]byte, []int)

Deprecated: Use Segment.ProtoReflect.Descriptor instead.

func (*Segment) GetEndIndex 

func (x *Segment) GetEndIndex() int32

func (*Segment) GetPartIndex 

func (x *Segment) GetPartIndex() int32

func (*Segment) GetStartIndex 

func (x *Segment) GetStartIndex() int32

func (*Segment) GetText 

func (x *Segment) GetText() string

func (*Segment) ProtoMessage 

func (*Segment) ProtoMessage()

func (*Segment) ProtoReflect 

func (x *Segment) ProtoReflect() protoreflect.Message

func (*Segment) Reset 

func (x *Segment) Reset()

func (*Segment) String 

func (x *Segment) String() string

type ServiceAccountSpec 

type ServiceAccountSpec struct {

	// Required. If true, custom user-managed service account is enforced to run
	// any workloads (for example, Vertex Jobs) on the resource. Otherwise, uses
	// the [Vertex AI Custom Code Service
	// Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents).
	EnableCustomServiceAccount bool `protobuf:"varint,1,opt,name=enable_custom_service_account,json=enableCustomServiceAccount,proto3" json:"enable_custom_service_account,omitempty"`
	// Optional. Required when all below conditions are met
	//   - `enable_custom_service_account` is true;
	//   - any runtime is specified via `ResourceRuntimeSpec` on creation time,
	//     for example, Ray
	//
	// The users must have `iam.serviceAccounts.actAs` permission on this service
	// account and then the specified runtime containers will run as it.
	//
	// Do not set this field if you want to submit jobs using custom service
	// account to this PersistentResource after creation, but only specify the
	// `service_account` inside the job.
	ServiceAccount string `protobuf:"bytes,2,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// contains filtered or unexported fields
}

Configuration for the use of custom service account to run the workloads.

func (*ServiceAccountSpec) Descriptor 

func (*ServiceAccountSpec) Descriptor() ([]byte, []int)

Deprecated: Use ServiceAccountSpec.ProtoReflect.Descriptor instead.

func (*ServiceAccountSpec) GetEnableCustomServiceAccount 

func (x *ServiceAccountSpec) GetEnableCustomServiceAccount() bool

func (*ServiceAccountSpec) GetServiceAccount 

func (x *ServiceAccountSpec) GetServiceAccount() string

func (*ServiceAccountSpec) ProtoMessage 

func (*ServiceAccountSpec) ProtoMessage()

func (*ServiceAccountSpec) ProtoReflect 

func (x *ServiceAccountSpec) ProtoReflect() protoreflect.Message

func (*ServiceAccountSpec) Reset 

func (x *ServiceAccountSpec) Reset()

func (*ServiceAccountSpec) String 

func (x *ServiceAccountSpec) String() string

type SharePointSources 

type SharePointSources struct {

	// The SharePoint sources.
	SharePointSources []*SharePointSources_SharePointSource `protobuf:"bytes,1,rep,name=share_point_sources,json=sharePointSources,proto3" json:"share_point_sources,omitempty"`
	// contains filtered or unexported fields
}

The SharePointSources to pass to ImportRagFiles.

func (*SharePointSources) Descriptor 

func (*SharePointSources) Descriptor() ([]byte, []int)

Deprecated: Use SharePointSources.ProtoReflect.Descriptor instead.

func (*SharePointSources) GetSharePointSources 

func (x *SharePointSources) GetSharePointSources() []*SharePointSources_SharePointSource

func (*SharePointSources) ProtoMessage 

func (*SharePointSources) ProtoMessage()

func (*SharePointSources) ProtoReflect 

func (x *SharePointSources) ProtoReflect() protoreflect.Message

func (*SharePointSources) Reset 

func (x *SharePointSources) Reset()

func (*SharePointSources) String 

func (x *SharePointSources) String() string

type SharePointSources_SharePointSource 

type SharePointSources_SharePointSource struct {

	// The SharePoint folder source. If not provided, uses "root".
	//
	// Types that are assignable to FolderSource:
	//
	//	*SharePointSources_SharePointSource_SharepointFolderPath
	//	*SharePointSources_SharePointSource_SharepointFolderId
	FolderSource isSharePointSources_SharePointSource_FolderSource `protobuf_oneof:"folder_source"`
	// The SharePoint drive source.
	//
	// Types that are assignable to DriveSource:
	//
	//	*SharePointSources_SharePointSource_DriveName
	//	*SharePointSources_SharePointSource_DriveId
	DriveSource isSharePointSources_SharePointSource_DriveSource `protobuf_oneof:"drive_source"`
	// The Application ID for the app registered in Microsoft Azure Portal.
	// The application must also be configured with MS Graph permissions
	// "Files.ReadAll", "Sites.ReadAll" and BrowserSiteLists.Read.All.
	ClientId string `protobuf:"bytes,1,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
	// The application secret for the app registered in Azure.
	ClientSecret *ApiAuth_ApiKeyConfig `protobuf:"bytes,2,opt,name=client_secret,json=clientSecret,proto3" json:"client_secret,omitempty"`
	// Unique identifier of the Azure Active Directory Instance.
	TenantId string `protobuf:"bytes,3,opt,name=tenant_id,json=tenantId,proto3" json:"tenant_id,omitempty"`
	// The name of the SharePoint site to download from. This can be the site
	// name or the site id.
	SharepointSiteName string `protobuf:"bytes,4,opt,name=sharepoint_site_name,json=sharepointSiteName,proto3" json:"sharepoint_site_name,omitempty"`
	// Output only. The SharePoint file id. Output only.
	FileId string `protobuf:"bytes,9,opt,name=file_id,json=fileId,proto3" json:"file_id,omitempty"`
	// contains filtered or unexported fields
}

An individual SharePointSource.

func (*SharePointSources_SharePointSource) Descriptor 

func (*SharePointSources_SharePointSource) Descriptor() ([]byte, []int)

Deprecated: Use SharePointSources_SharePointSource.ProtoReflect.Descriptor instead.

func (*SharePointSources_SharePointSource) GetClientId 

func (x *SharePointSources_SharePointSource) GetClientId() string

func (*SharePointSources_SharePointSource) GetClientSecret 

func (x *SharePointSources_SharePointSource) GetClientSecret() *ApiAuth_ApiKeyConfig

func (*SharePointSources_SharePointSource) GetDriveId 

func (x *SharePointSources_SharePointSource) GetDriveId() string

func (*SharePointSources_SharePointSource) GetDriveName 

func (x *SharePointSources_SharePointSource) GetDriveName() string

func (*SharePointSources_SharePointSource) GetDriveSource 

func (m *SharePointSources_SharePointSource) GetDriveSource() isSharePointSources_SharePointSource_DriveSource

func (*SharePointSources_SharePointSource) GetFileId 

func (x *SharePointSources_SharePointSource) GetFileId() string

func (*SharePointSources_SharePointSource) GetFolderSource 

func (m *SharePointSources_SharePointSource) GetFolderSource() isSharePointSources_SharePointSource_FolderSource

func (*SharePointSources_SharePointSource) GetSharepointFolderId 

func (x *SharePointSources_SharePointSource) GetSharepointFolderId() string

func (*SharePointSources_SharePointSource) GetSharepointFolderPath 

func (x *SharePointSources_SharePointSource) GetSharepointFolderPath() string

func (*SharePointSources_SharePointSource) GetSharepointSiteName 

func (x *SharePointSources_SharePointSource) GetSharepointSiteName() string

func (*SharePointSources_SharePointSource) GetTenantId 

func (x *SharePointSources_SharePointSource) GetTenantId() string

func (*SharePointSources_SharePointSource) ProtoMessage 

func (*SharePointSources_SharePointSource) ProtoMessage()

func (*SharePointSources_SharePointSource) ProtoReflect 

func (x *SharePointSources_SharePointSource) ProtoReflect() protoreflect.Message

func (*SharePointSources_SharePointSource) Reset 

func (x *SharePointSources_SharePointSource) Reset()

func (*SharePointSources_SharePointSource) String 

func (x *SharePointSources_SharePointSource) String() string

type SharePointSources_SharePointSource_DriveId 

type SharePointSources_SharePointSource_DriveId struct {
	// The ID of the drive to download from.
	DriveId string `protobuf:"bytes,8,opt,name=drive_id,json=driveId,proto3,oneof"`
}

type SharePointSources_SharePointSource_DriveName 

type SharePointSources_SharePointSource_DriveName struct {
	// The name of the drive to download from.
	DriveName string `protobuf:"bytes,7,opt,name=drive_name,json=driveName,proto3,oneof"`
}

type SharePointSources_SharePointSource_SharepointFolderId 

type SharePointSources_SharePointSource_SharepointFolderId struct {
	// The ID of the SharePoint folder to download from.
	SharepointFolderId string `protobuf:"bytes,6,opt,name=sharepoint_folder_id,json=sharepointFolderId,proto3,oneof"`
}

type SharePointSources_SharePointSource_SharepointFolderPath 

type SharePointSources_SharePointSource_SharepointFolderPath struct {
	// The path of the SharePoint folder to download from.
	SharepointFolderPath string `protobuf:"bytes,5,opt,name=sharepoint_folder_path,json=sharepointFolderPath,proto3,oneof"`
}

type ShieldedVmConfig 

type ShieldedVmConfig struct {

	// Defines whether the instance has [Secure
	// Boot](https://cloud.google.com/compute/shielded-vm/docs/shielded-vm#secure-boot)
	// enabled.
	//
	// Secure Boot helps ensure that the system only runs authentic software by
	// verifying the digital signature of all boot components, and halting the
	// boot process if signature verification fails.
	EnableSecureBoot bool `protobuf:"varint,1,opt,name=enable_secure_boot,json=enableSecureBoot,proto3" json:"enable_secure_boot,omitempty"`
	// contains filtered or unexported fields
}

A set of Shielded Instance options. See [Images using supported Shielded VM features](https://cloud.google.com/compute/docs/instances/modifying-shielded-vm).

func (*ShieldedVmConfig) Descriptor 

func (*ShieldedVmConfig) Descriptor() ([]byte, []int)

Deprecated: Use ShieldedVmConfig.ProtoReflect.Descriptor instead.

func (*ShieldedVmConfig) GetEnableSecureBoot 

func (x *ShieldedVmConfig) GetEnableSecureBoot() bool

func (*ShieldedVmConfig) ProtoMessage 

func (*ShieldedVmConfig) ProtoMessage()

func (*ShieldedVmConfig) ProtoReflect 

func (x *ShieldedVmConfig) ProtoReflect() protoreflect.Message

func (*ShieldedVmConfig) Reset 

func (x *ShieldedVmConfig) Reset()

func (*ShieldedVmConfig) String 

func (x *ShieldedVmConfig) String() string

type SlackSource 

type SlackSource struct {

	// Required. The Slack channels.
	Channels []*SlackSource_SlackChannels `protobuf:"bytes,1,rep,name=channels,proto3" json:"channels,omitempty"`
	// contains filtered or unexported fields
}

The Slack source for the ImportRagFilesRequest.

func (*SlackSource) Descriptor 

func (*SlackSource) Descriptor() ([]byte, []int)

Deprecated: Use SlackSource.ProtoReflect.Descriptor instead.

func (*SlackSource) GetChannels 

func (x *SlackSource) GetChannels() []*SlackSource_SlackChannels

func (*SlackSource) ProtoMessage 

func (*SlackSource) ProtoMessage()

func (*SlackSource) ProtoReflect 

func (x *SlackSource) ProtoReflect() protoreflect.Message

func (*SlackSource) Reset 

func (x *SlackSource) Reset()

func (*SlackSource) String 

func (x *SlackSource) String() string

type SlackSource_SlackChannels 

type SlackSource_SlackChannels struct {

	// Required. The Slack channel IDs.
	Channels []*SlackSource_SlackChannels_SlackChannel `protobuf:"bytes,1,rep,name=channels,proto3" json:"channels,omitempty"`
	// Required. The SecretManager secret version resource name (e.g.
	// projects/{project}/secrets/{secret}/versions/{version}) storing the
	// Slack channel access token that has access to the slack channel IDs.
	// See: https://api.slack.com/tutorials/tracks/getting-a-token.
	ApiKeyConfig *ApiAuth_ApiKeyConfig `protobuf:"bytes,3,opt,name=api_key_config,json=apiKeyConfig,proto3" json:"api_key_config,omitempty"`
	// contains filtered or unexported fields
}

SlackChannels contains the Slack channels and corresponding access token.

func (*SlackSource_SlackChannels) Descriptor 

func (*SlackSource_SlackChannels) Descriptor() ([]byte, []int)

Deprecated: Use SlackSource_SlackChannels.ProtoReflect.Descriptor instead.

func (*SlackSource_SlackChannels) GetApiKeyConfig 

func (x *SlackSource_SlackChannels) GetApiKeyConfig() *ApiAuth_ApiKeyConfig

func (*SlackSource_SlackChannels) GetChannels 

func (x *SlackSource_SlackChannels) GetChannels() []*SlackSource_SlackChannels_SlackChannel

func (*SlackSource_SlackChannels) ProtoMessage 

func (*SlackSource_SlackChannels) ProtoMessage()

func (*SlackSource_SlackChannels) ProtoReflect 

func (x *SlackSource_SlackChannels) ProtoReflect() protoreflect.Message

func (*SlackSource_SlackChannels) Reset 

func (x *SlackSource_SlackChannels) Reset()

func (*SlackSource_SlackChannels) String 

func (x *SlackSource_SlackChannels) String() string

type SlackSource_SlackChannels_SlackChannel 

type SlackSource_SlackChannels_SlackChannel struct {

	// Required. The Slack channel ID.
	ChannelId string `protobuf:"bytes,1,opt,name=channel_id,json=channelId,proto3" json:"channel_id,omitempty"`
	// Optional. The starting timestamp for messages to import.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Optional. The ending timestamp for messages to import.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

SlackChannel contains the Slack channel ID and the time range to import.

func (*SlackSource_SlackChannels_SlackChannel) Descriptor 

func (*SlackSource_SlackChannels_SlackChannel) Descriptor() ([]byte, []int)

Deprecated: Use SlackSource_SlackChannels_SlackChannel.ProtoReflect.Descriptor instead.

func (*SlackSource_SlackChannels_SlackChannel) GetChannelId 

func (x *SlackSource_SlackChannels_SlackChannel) GetChannelId() string

func (*SlackSource_SlackChannels_SlackChannel) GetEndTime 

func (x *SlackSource_SlackChannels_SlackChannel) GetEndTime() *timestamppb.Timestamp

func (*SlackSource_SlackChannels_SlackChannel) GetStartTime 

func (x *SlackSource_SlackChannels_SlackChannel) GetStartTime() *timestamppb.Timestamp

func (*SlackSource_SlackChannels_SlackChannel) ProtoMessage 

func (*SlackSource_SlackChannels_SlackChannel) ProtoMessage()

func (*SlackSource_SlackChannels_SlackChannel) ProtoReflect 

func (x *SlackSource_SlackChannels_SlackChannel) ProtoReflect() protoreflect.Message

func (*SlackSource_SlackChannels_SlackChannel) Reset 

func (x *SlackSource_SlackChannels_SlackChannel) Reset()

func (*SlackSource_SlackChannels_SlackChannel) String 

func (x *SlackSource_SlackChannels_SlackChannel) String() string

type SmoothGradConfig 

type SmoothGradConfig struct {

	// Represents the standard deviation of the gaussian kernel
	// that will be used to add noise to the interpolated inputs
	// prior to computing gradients.
	//
	// Types that are assignable to GradientNoiseSigma:
	//
	//	*SmoothGradConfig_NoiseSigma
	//	*SmoothGradConfig_FeatureNoiseSigma
	GradientNoiseSigma isSmoothGradConfig_GradientNoiseSigma `protobuf_oneof:"GradientNoiseSigma"`
	// The number of gradient samples to use for
	// approximation. The higher this number, the more accurate the gradient
	// is, but the runtime complexity increases by this factor as well.
	// Valid range of its value is [1, 50]. Defaults to 3.
	NoisySampleCount int32 `protobuf:"varint,3,opt,name=noisy_sample_count,json=noisySampleCount,proto3" json:"noisy_sample_count,omitempty"`
	// contains filtered or unexported fields
}

Config for SmoothGrad approximation of gradients.

When enabled, the gradients are approximated by averaging the gradients from noisy samples in the vicinity of the inputs. Adding noise can help improve the computed gradients. Refer to this paper for more details: https://arxiv.org/pdf/1706.03825.pdf

func (*SmoothGradConfig) Descriptor 

func (*SmoothGradConfig) Descriptor() ([]byte, []int)

Deprecated: Use SmoothGradConfig.ProtoReflect.Descriptor instead.

func (*SmoothGradConfig) GetFeatureNoiseSigma 

func (x *SmoothGradConfig) GetFeatureNoiseSigma() *FeatureNoiseSigma

func (*SmoothGradConfig) GetGradientNoiseSigma 

func (m *SmoothGradConfig) GetGradientNoiseSigma() isSmoothGradConfig_GradientNoiseSigma

func (*SmoothGradConfig) GetNoiseSigma 

func (x *SmoothGradConfig) GetNoiseSigma() float32

func (*SmoothGradConfig) GetNoisySampleCount 

func (x *SmoothGradConfig) GetNoisySampleCount() int32

func (*SmoothGradConfig) ProtoMessage 

func (*SmoothGradConfig) ProtoMessage()

func (*SmoothGradConfig) ProtoReflect 

func (x *SmoothGradConfig) ProtoReflect() protoreflect.Message

func (*SmoothGradConfig) Reset 

func (x *SmoothGradConfig) Reset()

func (*SmoothGradConfig) String 

func (x *SmoothGradConfig) String() string

type SmoothGradConfig_FeatureNoiseSigma 

type SmoothGradConfig_FeatureNoiseSigma struct {
	// This is similar to
	// [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
	// but provides additional flexibility. A separate noise sigma can be
	// provided for each feature, which is useful if their distributions are
	// different. No noise is added to features that are not set. If this field
	// is unset,
	// [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
	// will be used for all features.
	FeatureNoiseSigma *FeatureNoiseSigma `protobuf:"bytes,2,opt,name=feature_noise_sigma,json=featureNoiseSigma,proto3,oneof"`
}

type SmoothGradConfig_NoiseSigma 

type SmoothGradConfig_NoiseSigma struct {
	// This is a single float value and will be used to add noise to all the
	// features. Use this field when all features are normalized to have the
	// same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
	// features are normalized to have 0-mean and 1-variance. Learn more about
	// [normalization](https://developers.google.com/machine-learning/data-prep/transform/normalization).
	//
	// For best results the recommended value is about 10% - 20% of the standard
	// deviation of the input feature. Refer to section 3.2 of the SmoothGrad
	// paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
	//
	// If the distribution is different per feature, set
	// [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
	// instead for each feature.
	NoiseSigma float32 `protobuf:"fixed32,1,opt,name=noise_sigma,json=noiseSigma,proto3,oneof"`
}

type SpecialistPool 

type SpecialistPool struct {

	// Required. The resource name of the SpecialistPool.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the SpecialistPool.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	// This field should be unique on project-level.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. The number of managers in this SpecialistPool.
	SpecialistManagersCount int32 `protobuf:"varint,3,opt,name=specialist_managers_count,json=specialistManagersCount,proto3" json:"specialist_managers_count,omitempty"`
	// The email addresses of the managers in the SpecialistPool.
	SpecialistManagerEmails []string `protobuf:"bytes,4,rep,name=specialist_manager_emails,json=specialistManagerEmails,proto3" json:"specialist_manager_emails,omitempty"`
	// Output only. The resource name of the pending data labeling jobs.
	PendingDataLabelingJobs []string `protobuf:"bytes,5,rep,name=pending_data_labeling_jobs,json=pendingDataLabelingJobs,proto3" json:"pending_data_labeling_jobs,omitempty"`
	// The email addresses of workers in the SpecialistPool.
	SpecialistWorkerEmails []string `protobuf:"bytes,7,rep,name=specialist_worker_emails,json=specialistWorkerEmails,proto3" json:"specialist_worker_emails,omitempty"`
	// contains filtered or unexported fields
}

SpecialistPool represents customers' own workforce to work on their data labeling jobs. It includes a group of specialist managers and workers. Managers are responsible for managing the workers in this pool as well as customers' data labeling jobs associated with this pool. Customers create specialist pool as well as start data labeling jobs on Cloud, managers and workers handle the jobs using CrowdCompute console.

func (*SpecialistPool) Descriptor 

func (*SpecialistPool) Descriptor() ([]byte, []int)

Deprecated: Use SpecialistPool.ProtoReflect.Descriptor instead.

func (*SpecialistPool) GetDisplayName 

func (x *SpecialistPool) GetDisplayName() string

func (*SpecialistPool) GetName 

func (x *SpecialistPool) GetName() string

func (*SpecialistPool) GetPendingDataLabelingJobs 

func (x *SpecialistPool) GetPendingDataLabelingJobs() []string

func (*SpecialistPool) GetSpecialistManagerEmails 

func (x *SpecialistPool) GetSpecialistManagerEmails() []string

func (*SpecialistPool) GetSpecialistManagersCount 

func (x *SpecialistPool) GetSpecialistManagersCount() int32

func (*SpecialistPool) GetSpecialistWorkerEmails 

func (x *SpecialistPool) GetSpecialistWorkerEmails() []string

func (*SpecialistPool) ProtoMessage 

func (*SpecialistPool) ProtoMessage()

func (*SpecialistPool) ProtoReflect 

func (x *SpecialistPool) ProtoReflect() protoreflect.Message

func (*SpecialistPool) Reset 

func (x *SpecialistPool) Reset()

func (*SpecialistPool) String 

func (x *SpecialistPool) String() string

type SpecialistPoolServiceClient 

type SpecialistPoolServiceClient interface {
	// Creates a SpecialistPool.
	CreateSpecialistPool(ctx context.Context, in *CreateSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a SpecialistPool.
	GetSpecialistPool(ctx context.Context, in *GetSpecialistPoolRequest, opts ...grpc.CallOption) (*SpecialistPool, error)
	// Lists SpecialistPools in a Location.
	ListSpecialistPools(ctx context.Context, in *ListSpecialistPoolsRequest, opts ...grpc.CallOption) (*ListSpecialistPoolsResponse, error)
	// Deletes a SpecialistPool as well as all Specialists in the pool.
	DeleteSpecialistPool(ctx context.Context, in *DeleteSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Updates a SpecialistPool.
	UpdateSpecialistPool(ctx context.Context, in *UpdateSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

SpecialistPoolServiceClient is the client API for SpecialistPoolService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewSpecialistPoolServiceClient 

func NewSpecialistPoolServiceClient(cc grpc.ClientConnInterface) SpecialistPoolServiceClient

type SpecialistPoolServiceServer 

type SpecialistPoolServiceServer interface {
	// Creates a SpecialistPool.
	CreateSpecialistPool(context.Context, *CreateSpecialistPoolRequest) (*longrunningpb.Operation, error)
	// Gets a SpecialistPool.
	GetSpecialistPool(context.Context, *GetSpecialistPoolRequest) (*SpecialistPool, error)
	// Lists SpecialistPools in a Location.
	ListSpecialistPools(context.Context, *ListSpecialistPoolsRequest) (*ListSpecialistPoolsResponse, error)
	// Deletes a SpecialistPool as well as all Specialists in the pool.
	DeleteSpecialistPool(context.Context, *DeleteSpecialistPoolRequest) (*longrunningpb.Operation, error)
	// Updates a SpecialistPool.
	UpdateSpecialistPool(context.Context, *UpdateSpecialistPoolRequest) (*longrunningpb.Operation, error)
}

SpecialistPoolServiceServer is the server API for SpecialistPoolService service.

type SpeculativeDecodingSpec 

type SpeculativeDecodingSpec struct {

	// The type of speculation method to use.
	//
	// Types that are assignable to Speculation:
	//
	//	*SpeculativeDecodingSpec_DraftModelSpeculation_
	//	*SpeculativeDecodingSpec_NgramSpeculation_
	Speculation isSpeculativeDecodingSpec_Speculation `protobuf_oneof:"speculation"`
	// The number of speculative tokens to generate at each step.
	SpeculativeTokenCount int32 `protobuf:"varint,1,opt,name=speculative_token_count,json=speculativeTokenCount,proto3" json:"speculative_token_count,omitempty"`
	// contains filtered or unexported fields
}

Configuration for Speculative Decoding.

func (*SpeculativeDecodingSpec) Descriptor 

func (*SpeculativeDecodingSpec) Descriptor() ([]byte, []int)

Deprecated: Use SpeculativeDecodingSpec.ProtoReflect.Descriptor instead.

func (*SpeculativeDecodingSpec) GetDraftModelSpeculation 

func (x *SpeculativeDecodingSpec) GetDraftModelSpeculation() *SpeculativeDecodingSpec_DraftModelSpeculation

func (*SpeculativeDecodingSpec) GetNgramSpeculation 

func (x *SpeculativeDecodingSpec) GetNgramSpeculation() *SpeculativeDecodingSpec_NgramSpeculation

func (*SpeculativeDecodingSpec) GetSpeculation 

func (m *SpeculativeDecodingSpec) GetSpeculation() isSpeculativeDecodingSpec_Speculation

func (*SpeculativeDecodingSpec) GetSpeculativeTokenCount 

func (x *SpeculativeDecodingSpec) GetSpeculativeTokenCount() int32

func (*SpeculativeDecodingSpec) ProtoMessage 

func (*SpeculativeDecodingSpec) ProtoMessage()

func (*SpeculativeDecodingSpec) ProtoReflect 

func (x *SpeculativeDecodingSpec) ProtoReflect() protoreflect.Message

func (*SpeculativeDecodingSpec) Reset 

func (x *SpeculativeDecodingSpec) Reset()

func (*SpeculativeDecodingSpec) String 

func (x *SpeculativeDecodingSpec) String() string

type SpeculativeDecodingSpec_DraftModelSpeculation 

type SpeculativeDecodingSpec_DraftModelSpeculation struct {

	// Required. The resource name of the draft model.
	DraftModel string `protobuf:"bytes,1,opt,name=draft_model,json=draftModel,proto3" json:"draft_model,omitempty"`
	// contains filtered or unexported fields
}

Draft model speculation works by using the smaller model to generate candidate tokens for speculative decoding.

func (*SpeculativeDecodingSpec_DraftModelSpeculation) Descriptor 

func (*SpeculativeDecodingSpec_DraftModelSpeculation) Descriptor() ([]byte, []int)

Deprecated: Use SpeculativeDecodingSpec_DraftModelSpeculation.ProtoReflect.Descriptor instead.

func (*SpeculativeDecodingSpec_DraftModelSpeculation) GetDraftModel 

func (x *SpeculativeDecodingSpec_DraftModelSpeculation) GetDraftModel() string

func (*SpeculativeDecodingSpec_DraftModelSpeculation) ProtoMessage 

func (*SpeculativeDecodingSpec_DraftModelSpeculation) ProtoMessage()

func (*SpeculativeDecodingSpec_DraftModelSpeculation) ProtoReflect 

func (x *SpeculativeDecodingSpec_DraftModelSpeculation) ProtoReflect() protoreflect.Message

func (*SpeculativeDecodingSpec_DraftModelSpeculation) Reset 

func (x *SpeculativeDecodingSpec_DraftModelSpeculation) Reset()

func (*SpeculativeDecodingSpec_DraftModelSpeculation) String 

func (x *SpeculativeDecodingSpec_DraftModelSpeculation) String() string

type SpeculativeDecodingSpec_DraftModelSpeculation_ 

type SpeculativeDecodingSpec_DraftModelSpeculation_ struct {
	// draft model speculation.
	DraftModelSpeculation *SpeculativeDecodingSpec_DraftModelSpeculation `protobuf:"bytes,2,opt,name=draft_model_speculation,json=draftModelSpeculation,proto3,oneof"`
}

type SpeculativeDecodingSpec_NgramSpeculation 

type SpeculativeDecodingSpec_NgramSpeculation struct {

	// The number of last N input tokens used as ngram to search/match
	// against the previous prompt sequence.
	// This is equal to the N in N-Gram.
	// The default value is 3 if not specified.
	NgramSize int32 `protobuf:"varint,1,opt,name=ngram_size,json=ngramSize,proto3" json:"ngram_size,omitempty"`
	// contains filtered or unexported fields
}

N-Gram speculation works by trying to find matching tokens in the previous prompt sequence and use those as speculation for generating new tokens.

func (*SpeculativeDecodingSpec_NgramSpeculation) Descriptor 

func (*SpeculativeDecodingSpec_NgramSpeculation) Descriptor() ([]byte, []int)

Deprecated: Use SpeculativeDecodingSpec_NgramSpeculation.ProtoReflect.Descriptor instead.

func (*SpeculativeDecodingSpec_NgramSpeculation) GetNgramSize 

func (x *SpeculativeDecodingSpec_NgramSpeculation) GetNgramSize() int32

func (*SpeculativeDecodingSpec_NgramSpeculation) ProtoMessage 

func (*SpeculativeDecodingSpec_NgramSpeculation) ProtoMessage()

func (*SpeculativeDecodingSpec_NgramSpeculation) ProtoReflect 

func (x *SpeculativeDecodingSpec_NgramSpeculation) ProtoReflect() protoreflect.Message

func (*SpeculativeDecodingSpec_NgramSpeculation) Reset 

func (x *SpeculativeDecodingSpec_NgramSpeculation) Reset()

func (*SpeculativeDecodingSpec_NgramSpeculation) String 

func (x *SpeculativeDecodingSpec_NgramSpeculation) String() string

type SpeculativeDecodingSpec_NgramSpeculation_ 

type SpeculativeDecodingSpec_NgramSpeculation_ struct {
	// N-Gram speculation.
	NgramSpeculation *SpeculativeDecodingSpec_NgramSpeculation `protobuf:"bytes,3,opt,name=ngram_speculation,json=ngramSpeculation,proto3,oneof"`
}

type StartNotebookRuntimeOperationMetadata 

type StartNotebookRuntimeOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// A human-readable message that shows the intermediate progress details of
	// NotebookRuntime.
	ProgressMessage string `protobuf:"bytes,2,opt,name=progress_message,json=progressMessage,proto3" json:"progress_message,omitempty"`
	// contains filtered or unexported fields
}

Metadata information for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime].

func (*StartNotebookRuntimeOperationMetadata) Descriptor 

func (*StartNotebookRuntimeOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use StartNotebookRuntimeOperationMetadata.ProtoReflect.Descriptor instead.

func (*StartNotebookRuntimeOperationMetadata) GetGenericMetadata 

func (x *StartNotebookRuntimeOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*StartNotebookRuntimeOperationMetadata) GetProgressMessage 

func (x *StartNotebookRuntimeOperationMetadata) GetProgressMessage() string

func (*StartNotebookRuntimeOperationMetadata) ProtoMessage 

func (*StartNotebookRuntimeOperationMetadata) ProtoMessage()

func (*StartNotebookRuntimeOperationMetadata) ProtoReflect 

func (x *StartNotebookRuntimeOperationMetadata) ProtoReflect() protoreflect.Message

func (*StartNotebookRuntimeOperationMetadata) Reset 

func (x *StartNotebookRuntimeOperationMetadata) Reset()

func (*StartNotebookRuntimeOperationMetadata) String 

func (x *StartNotebookRuntimeOperationMetadata) String() string

type StartNotebookRuntimeRequest 

type StartNotebookRuntimeRequest struct {

	// Required. The name of the NotebookRuntime resource to be started.
	// Instead of checking whether the name is in valid NotebookRuntime resource
	// name format, directly throw NotFound exception if there is no such
	// NotebookRuntime in spanner.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime].

func (*StartNotebookRuntimeRequest) Descriptor 

func (*StartNotebookRuntimeRequest) Descriptor() ([]byte, []int)

Deprecated: Use StartNotebookRuntimeRequest.ProtoReflect.Descriptor instead.

func (*StartNotebookRuntimeRequest) GetName 

func (x *StartNotebookRuntimeRequest) GetName() string

func (*StartNotebookRuntimeRequest) ProtoMessage 

func (*StartNotebookRuntimeRequest) ProtoMessage()

func (*StartNotebookRuntimeRequest) ProtoReflect 

func (x *StartNotebookRuntimeRequest) ProtoReflect() protoreflect.Message

func (*StartNotebookRuntimeRequest) Reset 

func (x *StartNotebookRuntimeRequest) Reset()

func (*StartNotebookRuntimeRequest) String 

func (x *StartNotebookRuntimeRequest) String() string

type StartNotebookRuntimeResponse 

type StartNotebookRuntimeResponse struct {
	// contains filtered or unexported fields
}

Response message for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime].

func (*StartNotebookRuntimeResponse) Descriptor 

func (*StartNotebookRuntimeResponse) Descriptor() ([]byte, []int)

Deprecated: Use StartNotebookRuntimeResponse.ProtoReflect.Descriptor instead.

func (*StartNotebookRuntimeResponse) ProtoMessage 

func (*StartNotebookRuntimeResponse) ProtoMessage()

func (*StartNotebookRuntimeResponse) ProtoReflect 

func (x *StartNotebookRuntimeResponse) ProtoReflect() protoreflect.Message

func (*StartNotebookRuntimeResponse) Reset 

func (x *StartNotebookRuntimeResponse) Reset()

func (*StartNotebookRuntimeResponse) String 

func (x *StartNotebookRuntimeResponse) String() string

type StopNotebookRuntimeOperationMetadata 

type StopNotebookRuntimeOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Metadata information for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime].

func (*StopNotebookRuntimeOperationMetadata) Descriptor 

func (*StopNotebookRuntimeOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use StopNotebookRuntimeOperationMetadata.ProtoReflect.Descriptor instead.

func (*StopNotebookRuntimeOperationMetadata) GetGenericMetadata 

func (x *StopNotebookRuntimeOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*StopNotebookRuntimeOperationMetadata) ProtoMessage 

func (*StopNotebookRuntimeOperationMetadata) ProtoMessage()

func (*StopNotebookRuntimeOperationMetadata) ProtoReflect 

func (x *StopNotebookRuntimeOperationMetadata) ProtoReflect() protoreflect.Message

func (*StopNotebookRuntimeOperationMetadata) Reset 

func (x *StopNotebookRuntimeOperationMetadata) Reset()

func (*StopNotebookRuntimeOperationMetadata) String 

func (x *StopNotebookRuntimeOperationMetadata) String() string

type StopNotebookRuntimeRequest 

type StopNotebookRuntimeRequest struct {

	// Required. The name of the NotebookRuntime resource to be stopped.
	// Instead of checking whether the name is in valid NotebookRuntime resource
	// name format, directly throw NotFound exception if there is no such
	// NotebookRuntime in spanner.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime].

func (*StopNotebookRuntimeRequest) Descriptor 

func (*StopNotebookRuntimeRequest) Descriptor() ([]byte, []int)

Deprecated: Use StopNotebookRuntimeRequest.ProtoReflect.Descriptor instead.

func (*StopNotebookRuntimeRequest) GetName 

func (x *StopNotebookRuntimeRequest) GetName() string

func (*StopNotebookRuntimeRequest) ProtoMessage 

func (*StopNotebookRuntimeRequest) ProtoMessage()

func (*StopNotebookRuntimeRequest) ProtoReflect 

func (x *StopNotebookRuntimeRequest) ProtoReflect() protoreflect.Message

func (*StopNotebookRuntimeRequest) Reset 

func (x *StopNotebookRuntimeRequest) Reset()

func (*StopNotebookRuntimeRequest) String 

func (x *StopNotebookRuntimeRequest) String() string

type StopNotebookRuntimeResponse 

type StopNotebookRuntimeResponse struct {
	// contains filtered or unexported fields
}

Response message for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime].

func (*StopNotebookRuntimeResponse) Descriptor 

func (*StopNotebookRuntimeResponse) Descriptor() ([]byte, []int)

Deprecated: Use StopNotebookRuntimeResponse.ProtoReflect.Descriptor instead.

func (*StopNotebookRuntimeResponse) ProtoMessage 

func (*StopNotebookRuntimeResponse) ProtoMessage()

func (*StopNotebookRuntimeResponse) ProtoReflect 

func (x *StopNotebookRuntimeResponse) ProtoReflect() protoreflect.Message

func (*StopNotebookRuntimeResponse) Reset 

func (x *StopNotebookRuntimeResponse) Reset()

func (*StopNotebookRuntimeResponse) String 

func (x *StopNotebookRuntimeResponse) String() string

type StopTrialRequest 

type StopTrialRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].

func (*StopTrialRequest) Descriptor 

func (*StopTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use StopTrialRequest.ProtoReflect.Descriptor instead.

func (*StopTrialRequest) GetName 

func (x *StopTrialRequest) GetName() string

func (*StopTrialRequest) ProtoMessage 

func (*StopTrialRequest) ProtoMessage()

func (*StopTrialRequest) ProtoReflect 

func (x *StopTrialRequest) ProtoReflect() protoreflect.Message

func (*StopTrialRequest) Reset 

func (x *StopTrialRequest) Reset()

func (*StopTrialRequest) String 

func (x *StopTrialRequest) String() string

type StratifiedSplit 

type StratifiedSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// Required. The key is a name of one of the Dataset's data columns.
	// The key provided must be for a categorical column.
	Key string `protobuf:"bytes,4,opt,name=key,proto3" json:"key,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to the training, validation, and test sets so that the distribution of values found in the categorical column (as specified by the `key` field) is mirrored within each split. The fraction values determine the relative sizes of the splits.

For example, if the specified column has three values, with 50% of the rows having value "A", 25% value "B", and 25% value "C", and the split fractions are specified as 80/10/10, then the training set will constitute 80% of the training data, with about 50% of the training set rows having the value "A" for the specified column, about 25% having the value "B", and about 25% having the value "C".

Only the top 500 occurring values are used; any values not in the top 500 values are randomly assigned to a split. If less than three rows contain a specific value, those rows are randomly assigned.

Supported only for tabular Datasets.

func (*StratifiedSplit) Descriptor 

func (*StratifiedSplit) Descriptor() ([]byte, []int)

Deprecated: Use StratifiedSplit.ProtoReflect.Descriptor instead.

func (*StratifiedSplit) GetKey 

func (x *StratifiedSplit) GetKey() string

func (*StratifiedSplit) GetTestFraction 

func (x *StratifiedSplit) GetTestFraction() float64

func (*StratifiedSplit) GetTrainingFraction 

func (x *StratifiedSplit) GetTrainingFraction() float64

func (*StratifiedSplit) GetValidationFraction 

func (x *StratifiedSplit) GetValidationFraction() float64

func (*StratifiedSplit) ProtoMessage 

func (*StratifiedSplit) ProtoMessage()

func (*StratifiedSplit) ProtoReflect 

func (x *StratifiedSplit) ProtoReflect() protoreflect.Message

func (*StratifiedSplit) Reset 

func (x *StratifiedSplit) Reset()

func (*StratifiedSplit) String 

func (x *StratifiedSplit) String() string

type StreamDirectPredictRequest 

type StreamDirectPredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Optional. The prediction input.
	Inputs []*Tensor `protobuf:"bytes,2,rep,name=inputs,proto3" json:"inputs,omitempty"`
	// Optional. The parameters that govern the prediction.
	Parameters *Tensor `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].

The first message must contain [endpoint][google.cloud.aiplatform.v1.StreamDirectPredictRequest.endpoint] field and optionally [input][]. The subsequent messages must contain [input][].

func (*StreamDirectPredictRequest) Descriptor 

func (*StreamDirectPredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use StreamDirectPredictRequest.ProtoReflect.Descriptor instead.

func (*StreamDirectPredictRequest) GetEndpoint 

func (x *StreamDirectPredictRequest) GetEndpoint() string

func (*StreamDirectPredictRequest) GetInputs 

func (x *StreamDirectPredictRequest) GetInputs() []*Tensor

func (*StreamDirectPredictRequest) GetParameters 

func (x *StreamDirectPredictRequest) GetParameters() *Tensor

func (*StreamDirectPredictRequest) ProtoMessage 

func (*StreamDirectPredictRequest) ProtoMessage()

func (*StreamDirectPredictRequest) ProtoReflect 

func (x *StreamDirectPredictRequest) ProtoReflect() protoreflect.Message

func (*StreamDirectPredictRequest) Reset 

func (x *StreamDirectPredictRequest) Reset()

func (*StreamDirectPredictRequest) String 

func (x *StreamDirectPredictRequest) String() string

type StreamDirectPredictResponse 

type StreamDirectPredictResponse struct {

	// The prediction output.
	Outputs []*Tensor `protobuf:"bytes,1,rep,name=outputs,proto3" json:"outputs,omitempty"`
	// The parameters that govern the prediction.
	Parameters *Tensor `protobuf:"bytes,2,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].

func (*StreamDirectPredictResponse) Descriptor 

func (*StreamDirectPredictResponse) Descriptor() ([]byte, []int)

Deprecated: Use StreamDirectPredictResponse.ProtoReflect.Descriptor instead.

func (*StreamDirectPredictResponse) GetOutputs 

func (x *StreamDirectPredictResponse) GetOutputs() []*Tensor

func (*StreamDirectPredictResponse) GetParameters 

func (x *StreamDirectPredictResponse) GetParameters() *Tensor

func (*StreamDirectPredictResponse) ProtoMessage 

func (*StreamDirectPredictResponse) ProtoMessage()

func (*StreamDirectPredictResponse) ProtoReflect 

func (x *StreamDirectPredictResponse) ProtoReflect() protoreflect.Message

func (*StreamDirectPredictResponse) Reset 

func (x *StreamDirectPredictResponse) Reset()

func (*StreamDirectPredictResponse) String 

func (x *StreamDirectPredictResponse) String() string

type StreamDirectRawPredictRequest 

type StreamDirectRawPredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Optional. Fully qualified name of the API method being invoked to perform
	// predictions.
	//
	// Format:
	// `/namespace.Service/Method/`
	// Example:
	// `/tensorflow.serving.PredictionService/Predict`
	MethodName string `protobuf:"bytes,2,opt,name=method_name,json=methodName,proto3" json:"method_name,omitempty"`
	// Optional. The prediction input.
	Input []byte `protobuf:"bytes,3,opt,name=input,proto3" json:"input,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].

The first message must contain [endpoint][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.endpoint] and [method_name][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.method_name] fields and optionally [input][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.input]. The subsequent messages must contain [input][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.input]. [method_name][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.method_name] in the subsequent messages have no effect.

func (*StreamDirectRawPredictRequest) Descriptor 

func (*StreamDirectRawPredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use StreamDirectRawPredictRequest.ProtoReflect.Descriptor instead.

func (*StreamDirectRawPredictRequest) GetEndpoint 

func (x *StreamDirectRawPredictRequest) GetEndpoint() string

func (*StreamDirectRawPredictRequest) GetInput 

func (x *StreamDirectRawPredictRequest) GetInput() []byte

func (*StreamDirectRawPredictRequest) GetMethodName 

func (x *StreamDirectRawPredictRequest) GetMethodName() string

func (*StreamDirectRawPredictRequest) ProtoMessage 

func (*StreamDirectRawPredictRequest) ProtoMessage()

func (*StreamDirectRawPredictRequest) ProtoReflect 

func (x *StreamDirectRawPredictRequest) ProtoReflect() protoreflect.Message

func (*StreamDirectRawPredictRequest) Reset 

func (x *StreamDirectRawPredictRequest) Reset()

func (*StreamDirectRawPredictRequest) String 

func (x *StreamDirectRawPredictRequest) String() string

type StreamDirectRawPredictResponse 

type StreamDirectRawPredictResponse struct {

	// The prediction output.
	Output []byte `protobuf:"bytes,1,opt,name=output,proto3" json:"output,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].

func (*StreamDirectRawPredictResponse) Descriptor 

func (*StreamDirectRawPredictResponse) Descriptor() ([]byte, []int)

Deprecated: Use StreamDirectRawPredictResponse.ProtoReflect.Descriptor instead.

func (*StreamDirectRawPredictResponse) GetOutput 

func (x *StreamDirectRawPredictResponse) GetOutput() []byte

func (*StreamDirectRawPredictResponse) ProtoMessage 

func (*StreamDirectRawPredictResponse) ProtoMessage()

func (*StreamDirectRawPredictResponse) ProtoReflect 

func (x *StreamDirectRawPredictResponse) ProtoReflect() protoreflect.Message

func (*StreamDirectRawPredictResponse) Reset 

func (x *StreamDirectRawPredictResponse) Reset()

func (*StreamDirectRawPredictResponse) String 

func (x *StreamDirectRawPredictResponse) String() string

type StreamQueryReasoningEngineRequest 

type StreamQueryReasoningEngineRequest struct {

	// Required. The name of the ReasoningEngine resource to use.
	// Format:
	// `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. Input content provided by users in JSON object format. Examples
	// include text query, function calling parameters, media bytes, etc.
	Input *structpb.Struct `protobuf:"bytes,2,opt,name=input,proto3" json:"input,omitempty"`
	// Optional. Class method to be used for the stream query.
	// It is optional and defaults to "stream_query" if unspecified.
	ClassMethod string `protobuf:"bytes,3,opt,name=class_method,json=classMethod,proto3" json:"class_method,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ReasoningEngineExecutionService.StreamQuery][].

func (*StreamQueryReasoningEngineRequest) Descriptor 

func (*StreamQueryReasoningEngineRequest) Descriptor() ([]byte, []int)

Deprecated: Use StreamQueryReasoningEngineRequest.ProtoReflect.Descriptor instead.

func (*StreamQueryReasoningEngineRequest) GetClassMethod 

func (x *StreamQueryReasoningEngineRequest) GetClassMethod() string

func (*StreamQueryReasoningEngineRequest) GetInput 

func (x *StreamQueryReasoningEngineRequest) GetInput() *structpb.Struct

func (*StreamQueryReasoningEngineRequest) GetName 

func (x *StreamQueryReasoningEngineRequest) GetName() string

func (*StreamQueryReasoningEngineRequest) ProtoMessage 

func (*StreamQueryReasoningEngineRequest) ProtoMessage()

func (*StreamQueryReasoningEngineRequest) ProtoReflect 

func (x *StreamQueryReasoningEngineRequest) ProtoReflect() protoreflect.Message

func (*StreamQueryReasoningEngineRequest) Reset 

func (x *StreamQueryReasoningEngineRequest) Reset()

func (*StreamQueryReasoningEngineRequest) String 

func (x *StreamQueryReasoningEngineRequest) String() string

type StreamRawPredictRequest 

type StreamRawPredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// The prediction input. Supports HTTP headers and arbitrary data payload.
	HttpBody *httpbody.HttpBody `protobuf:"bytes,2,opt,name=http_body,json=httpBody,proto3" json:"http_body,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.StreamRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamRawPredict].

func (*StreamRawPredictRequest) Descriptor 

func (*StreamRawPredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use StreamRawPredictRequest.ProtoReflect.Descriptor instead.

func (*StreamRawPredictRequest) GetEndpoint 

func (x *StreamRawPredictRequest) GetEndpoint() string

func (*StreamRawPredictRequest) GetHttpBody 

func (x *StreamRawPredictRequest) GetHttpBody() *httpbody.HttpBody

func (*StreamRawPredictRequest) ProtoMessage 

func (*StreamRawPredictRequest) ProtoMessage()

func (*StreamRawPredictRequest) ProtoReflect 

func (x *StreamRawPredictRequest) ProtoReflect() protoreflect.Message

func (*StreamRawPredictRequest) Reset 

func (x *StreamRawPredictRequest) Reset()

func (*StreamRawPredictRequest) String 

func (x *StreamRawPredictRequest) String() string

type StreamingPredictRequest 

type StreamingPredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// The prediction input.
	Inputs []*Tensor `protobuf:"bytes,2,rep,name=inputs,proto3" json:"inputs,omitempty"`
	// The parameters that govern the prediction.
	Parameters *Tensor `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].

The first message must contain [endpoint][google.cloud.aiplatform.v1.StreamingPredictRequest.endpoint] field and optionally [input][]. The subsequent messages must contain [input][].

func (*StreamingPredictRequest) Descriptor 

func (*StreamingPredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use StreamingPredictRequest.ProtoReflect.Descriptor instead.

func (*StreamingPredictRequest) GetEndpoint 

func (x *StreamingPredictRequest) GetEndpoint() string

func (*StreamingPredictRequest) GetInputs 

func (x *StreamingPredictRequest) GetInputs() []*Tensor

func (*StreamingPredictRequest) GetParameters 

func (x *StreamingPredictRequest) GetParameters() *Tensor

func (*StreamingPredictRequest) ProtoMessage 

func (*StreamingPredictRequest) ProtoMessage()

func (*StreamingPredictRequest) ProtoReflect 

func (x *StreamingPredictRequest) ProtoReflect() protoreflect.Message

func (*StreamingPredictRequest) Reset 

func (x *StreamingPredictRequest) Reset()

func (*StreamingPredictRequest) String 

func (x *StreamingPredictRequest) String() string

type StreamingPredictResponse 

type StreamingPredictResponse struct {

	// The prediction output.
	Outputs []*Tensor `protobuf:"bytes,1,rep,name=outputs,proto3" json:"outputs,omitempty"`
	// The parameters that govern the prediction.
	Parameters *Tensor `protobuf:"bytes,2,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].

func (*StreamingPredictResponse) Descriptor 

func (*StreamingPredictResponse) Descriptor() ([]byte, []int)

Deprecated: Use StreamingPredictResponse.ProtoReflect.Descriptor instead.

func (*StreamingPredictResponse) GetOutputs 

func (x *StreamingPredictResponse) GetOutputs() []*Tensor

func (*StreamingPredictResponse) GetParameters 

func (x *StreamingPredictResponse) GetParameters() *Tensor

func (*StreamingPredictResponse) ProtoMessage 

func (*StreamingPredictResponse) ProtoMessage()

func (*StreamingPredictResponse) ProtoReflect 

func (x *StreamingPredictResponse) ProtoReflect() protoreflect.Message

func (*StreamingPredictResponse) Reset 

func (x *StreamingPredictResponse) Reset()

func (*StreamingPredictResponse) String 

func (x *StreamingPredictResponse) String() string

type StreamingRawPredictRequest 

type StreamingRawPredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Fully qualified name of the API method being invoked to perform
	// predictions.
	//
	// Format:
	// `/namespace.Service/Method/`
	// Example:
	// `/tensorflow.serving.PredictionService/Predict`
	MethodName string `protobuf:"bytes,2,opt,name=method_name,json=methodName,proto3" json:"method_name,omitempty"`
	// The prediction input.
	Input []byte `protobuf:"bytes,3,opt,name=input,proto3" json:"input,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].

The first message must contain [endpoint][google.cloud.aiplatform.v1.StreamingRawPredictRequest.endpoint] and [method_name][google.cloud.aiplatform.v1.StreamingRawPredictRequest.method_name] fields and optionally [input][google.cloud.aiplatform.v1.StreamingRawPredictRequest.input]. The subsequent messages must contain [input][google.cloud.aiplatform.v1.StreamingRawPredictRequest.input]. [method_name][google.cloud.aiplatform.v1.StreamingRawPredictRequest.method_name] in the subsequent messages have no effect.

func (*StreamingRawPredictRequest) Descriptor 

func (*StreamingRawPredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use StreamingRawPredictRequest.ProtoReflect.Descriptor instead.

func (*StreamingRawPredictRequest) GetEndpoint 

func (x *StreamingRawPredictRequest) GetEndpoint() string

func (*StreamingRawPredictRequest) GetInput 

func (x *StreamingRawPredictRequest) GetInput() []byte

func (*StreamingRawPredictRequest) GetMethodName 

func (x *StreamingRawPredictRequest) GetMethodName() string

func (*StreamingRawPredictRequest) ProtoMessage 

func (*StreamingRawPredictRequest) ProtoMessage()

func (*StreamingRawPredictRequest) ProtoReflect 

func (x *StreamingRawPredictRequest) ProtoReflect() protoreflect.Message

func (*StreamingRawPredictRequest) Reset 

func (x *StreamingRawPredictRequest) Reset()

func (*StreamingRawPredictRequest) String 

func (x *StreamingRawPredictRequest) String() string

type StreamingRawPredictResponse 

type StreamingRawPredictResponse struct {

	// The prediction output.
	Output []byte `protobuf:"bytes,1,opt,name=output,proto3" json:"output,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].

func (*StreamingRawPredictResponse) Descriptor 

func (*StreamingRawPredictResponse) Descriptor() ([]byte, []int)

Deprecated: Use StreamingRawPredictResponse.ProtoReflect.Descriptor instead.

func (*StreamingRawPredictResponse) GetOutput 

func (x *StreamingRawPredictResponse) GetOutput() []byte

func (*StreamingRawPredictResponse) ProtoMessage 

func (*StreamingRawPredictResponse) ProtoMessage()

func (*StreamingRawPredictResponse) ProtoReflect 

func (x *StreamingRawPredictResponse) ProtoReflect() protoreflect.Message

func (*StreamingRawPredictResponse) Reset 

func (x *StreamingRawPredictResponse) Reset()

func (*StreamingRawPredictResponse) String 

func (x *StreamingRawPredictResponse) String() string

type StreamingReadFeatureValuesRequest 

type StreamingReadFeatureValuesRequest struct {

	// Required. The resource name of the entities' type.
	// Value format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
	// For example,
	// for a machine learning model predicting user clicks on a website, an
	// EntityType ID could be `user`.
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. IDs of entities to read Feature values of. The maximum number of
	// IDs is 100. For example, for a machine learning model predicting user
	// clicks on a website, an entity ID could be `user_123`.
	EntityIds []string `protobuf:"bytes,2,rep,name=entity_ids,json=entityIds,proto3" json:"entity_ids,omitempty"`
	// Required. Selector choosing Features of the target EntityType. Feature IDs
	// will be deduplicated.
	FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues].

func (*StreamingReadFeatureValuesRequest) Descriptor 

func (*StreamingReadFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use StreamingReadFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*StreamingReadFeatureValuesRequest) GetEntityIds 

func (x *StreamingReadFeatureValuesRequest) GetEntityIds() []string

func (*StreamingReadFeatureValuesRequest) GetEntityType 

func (x *StreamingReadFeatureValuesRequest) GetEntityType() string

func (*StreamingReadFeatureValuesRequest) GetFeatureSelector 

func (x *StreamingReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector

func (*StreamingReadFeatureValuesRequest) ProtoMessage 

func (*StreamingReadFeatureValuesRequest) ProtoMessage()

func (*StreamingReadFeatureValuesRequest) ProtoReflect 

func (x *StreamingReadFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*StreamingReadFeatureValuesRequest) Reset 

func (x *StreamingReadFeatureValuesRequest) Reset()

func (*StreamingReadFeatureValuesRequest) String 

func (x *StreamingReadFeatureValuesRequest) String() string

type StringArray 

type StringArray struct {

	// A list of string values.
	Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of string values.

func (*StringArray) Descriptor 

func (*StringArray) Descriptor() ([]byte, []int)

Deprecated: Use StringArray.ProtoReflect.Descriptor instead.

func (*StringArray) GetValues 

func (x *StringArray) GetValues() []string

func (*StringArray) ProtoMessage 

func (*StringArray) ProtoMessage()

func (*StringArray) ProtoReflect 

func (x *StringArray) ProtoReflect() protoreflect.Message

func (*StringArray) Reset 

func (x *StringArray) Reset()

func (*StringArray) String 

func (x *StringArray) String() string

type StructFieldValue 

type StructFieldValue struct {

	// Name of the field in the struct feature.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The value for this field.
	Value *FeatureValue `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

One field of a Struct (or object) type feature value.

func (*StructFieldValue) Descriptor 

func (*StructFieldValue) Descriptor() ([]byte, []int)

Deprecated: Use StructFieldValue.ProtoReflect.Descriptor instead.

func (*StructFieldValue) GetName 

func (x *StructFieldValue) GetName() string

func (*StructFieldValue) GetValue 

func (x *StructFieldValue) GetValue() *FeatureValue

func (*StructFieldValue) ProtoMessage 

func (*StructFieldValue) ProtoMessage()

func (*StructFieldValue) ProtoReflect 

func (x *StructFieldValue) ProtoReflect() protoreflect.Message

func (*StructFieldValue) Reset 

func (x *StructFieldValue) Reset()

func (*StructFieldValue) String 

func (x *StructFieldValue) String() string

type StructValue 

type StructValue struct {

	// A list of field values.
	Values []*StructFieldValue `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Struct (or object) type feature value.

func (*StructValue) Descriptor 

func (*StructValue) Descriptor() ([]byte, []int)

Deprecated: Use StructValue.ProtoReflect.Descriptor instead.

func (*StructValue) GetValues 

func (x *StructValue) GetValues() []*StructFieldValue

func (*StructValue) ProtoMessage 

func (*StructValue) ProtoMessage()

func (*StructValue) ProtoReflect 

func (x *StructValue) ProtoReflect() protoreflect.Message

func (*StructValue) Reset 

func (x *StructValue) Reset()

func (*StructValue) String 

func (x *StructValue) String() string

type Study 

type Study struct {

	// Output only. The name of a study. The study's globally unique identifier.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. Describes the Study, default value is empty string.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Configuration of the Study.
	StudySpec *StudySpec `protobuf:"bytes,3,opt,name=study_spec,json=studySpec,proto3" json:"study_spec,omitempty"`
	// Output only. The detailed state of a Study.
	State Study_State `protobuf:"varint,4,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Study_State" json:"state,omitempty"`
	// Output only. Time at which the study was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. A human readable reason why the Study is inactive.
	// This should be empty if a study is ACTIVE or COMPLETED.
	InactiveReason string `protobuf:"bytes,6,opt,name=inactive_reason,json=inactiveReason,proto3" json:"inactive_reason,omitempty"`
	// contains filtered or unexported fields
}

A message representing a Study.

func (*Study) Descriptor 

func (*Study) Descriptor() ([]byte, []int)

Deprecated: Use Study.ProtoReflect.Descriptor instead.

func (*Study) GetCreateTime 

func (x *Study) GetCreateTime() *timestamppb.Timestamp

func (*Study) GetDisplayName 

func (x *Study) GetDisplayName() string

func (*Study) GetInactiveReason 

func (x *Study) GetInactiveReason() string

func (*Study) GetName 

func (x *Study) GetName() string

func (*Study) GetState 

func (x *Study) GetState() Study_State

func (*Study) GetStudySpec 

func (x *Study) GetStudySpec() *StudySpec

func (*Study) ProtoMessage 

func (*Study) ProtoMessage()

func (*Study) ProtoReflect 

func (x *Study) ProtoReflect() protoreflect.Message

func (*Study) Reset 

func (x *Study) Reset()

func (*Study) String 

func (x *Study) String() string

type StudySpec 

type StudySpec struct {

	// Types that are assignable to AutomatedStoppingSpec:
	//
	//	*StudySpec_DecayCurveStoppingSpec
	//	*StudySpec_MedianAutomatedStoppingSpec_
	//	*StudySpec_ConvexAutomatedStoppingSpec_
	AutomatedStoppingSpec isStudySpec_AutomatedStoppingSpec `protobuf_oneof:"automated_stopping_spec"`
	// Required. Metric specs for the Study.
	Metrics []*StudySpec_MetricSpec `protobuf:"bytes,1,rep,name=metrics,proto3" json:"metrics,omitempty"`
	// Required. The set of parameters to tune.
	Parameters []*StudySpec_ParameterSpec `protobuf:"bytes,2,rep,name=parameters,proto3" json:"parameters,omitempty"`
	// The search algorithm specified for the Study.
	Algorithm StudySpec_Algorithm `protobuf:"varint,3,opt,name=algorithm,proto3,enum=google.cloud.aiplatform.v1.StudySpec_Algorithm" json:"algorithm,omitempty"`
	// The observation noise level of the study.
	// Currently only supported by the Vertex AI Vizier service. Not supported by
	// HyperparameterTuningJob or TrainingPipeline.
	ObservationNoise StudySpec_ObservationNoise `protobuf:"varint,6,opt,name=observation_noise,json=observationNoise,proto3,enum=google.cloud.aiplatform.v1.StudySpec_ObservationNoise" json:"observation_noise,omitempty"`
	// Describe which measurement selection type will be used
	MeasurementSelectionType StudySpec_MeasurementSelectionType `protobuf:"varint,7,opt,name=measurement_selection_type,json=measurementSelectionType,proto3,enum=google.cloud.aiplatform.v1.StudySpec_MeasurementSelectionType" json:"measurement_selection_type,omitempty"`
	// Conditions for automated stopping of a Study. Enable automated stopping by
	// configuring at least one condition.
	StudyStoppingConfig *StudySpec_StudyStoppingConfig `protobuf:"bytes,11,opt,name=study_stopping_config,json=studyStoppingConfig,proto3,oneof" json:"study_stopping_config,omitempty"`
	// contains filtered or unexported fields
}

Represents specification of a Study.

func (*StudySpec) Descriptor 

func (*StudySpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec.ProtoReflect.Descriptor instead.

func (*StudySpec) GetAlgorithm 

func (x *StudySpec) GetAlgorithm() StudySpec_Algorithm

func (*StudySpec) GetAutomatedStoppingSpec 

func (m *StudySpec) GetAutomatedStoppingSpec() isStudySpec_AutomatedStoppingSpec

func (*StudySpec) GetConvexAutomatedStoppingSpec 

func (x *StudySpec) GetConvexAutomatedStoppingSpec() *StudySpec_ConvexAutomatedStoppingSpec

func (*StudySpec) GetDecayCurveStoppingSpec 

func (x *StudySpec) GetDecayCurveStoppingSpec() *StudySpec_DecayCurveAutomatedStoppingSpec

func (*StudySpec) GetMeasurementSelectionType 

func (x *StudySpec) GetMeasurementSelectionType() StudySpec_MeasurementSelectionType

func (*StudySpec) GetMedianAutomatedStoppingSpec 

func (x *StudySpec) GetMedianAutomatedStoppingSpec() *StudySpec_MedianAutomatedStoppingSpec

func (*StudySpec) GetMetrics 

func (x *StudySpec) GetMetrics() []*StudySpec_MetricSpec

func (*StudySpec) GetObservationNoise 

func (x *StudySpec) GetObservationNoise() StudySpec_ObservationNoise

func (*StudySpec) GetParameters 

func (x *StudySpec) GetParameters() []*StudySpec_ParameterSpec

func (*StudySpec) GetStudyStoppingConfig 

func (x *StudySpec) GetStudyStoppingConfig() *StudySpec_StudyStoppingConfig

func (*StudySpec) ProtoMessage 

func (*StudySpec) ProtoMessage()

func (*StudySpec) ProtoReflect 

func (x *StudySpec) ProtoReflect() protoreflect.Message

func (*StudySpec) Reset 

func (x *StudySpec) Reset()

func (*StudySpec) String 

func (x *StudySpec) String() string

type StudySpec_Algorithm 

type StudySpec_Algorithm int32

The available search algorithms for the Study. 

const (
	// The default algorithm used by Vertex AI for [hyperparameter
	// tuning](https://cloud.google.com/vertex-ai/docs/training/hyperparameter-tuning-overview)
	// and [Vertex AI Vizier](https://cloud.google.com/vertex-ai/docs/vizier).
	StudySpec_ALGORITHM_UNSPECIFIED StudySpec_Algorithm = 0
	// Simple grid search within the feasible space. To use grid search,
	// all parameters must be `INTEGER`, `CATEGORICAL`, or `DISCRETE`.
	StudySpec_GRID_SEARCH StudySpec_Algorithm = 2
	// Simple random search within the feasible space.
	StudySpec_RANDOM_SEARCH StudySpec_Algorithm = 3
)

func (StudySpec_Algorithm) Descriptor 

func (StudySpec_Algorithm) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_Algorithm) Enum 

func (x StudySpec_Algorithm) Enum() *StudySpec_Algorithm

func (StudySpec_Algorithm) EnumDescriptor 

func (StudySpec_Algorithm) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_Algorithm.Descriptor instead.

func (StudySpec_Algorithm) Number 

func (x StudySpec_Algorithm) Number() protoreflect.EnumNumber

func (StudySpec_Algorithm) String 

func (x StudySpec_Algorithm) String() string

func (StudySpec_Algorithm) Type 

func (StudySpec_Algorithm) Type() protoreflect.EnumType

type StudySpec_ConvexAutomatedStoppingSpec 

type StudySpec_ConvexAutomatedStoppingSpec struct {

	// Steps used in predicting the final objective for early stopped trials. In
	// general, it's set to be the same as the defined steps in training /
	// tuning. If not defined, it will learn it from the completed trials. When
	// use_steps is false, this field is set to the maximum elapsed seconds.
	MaxStepCount int64 `protobuf:"varint,1,opt,name=max_step_count,json=maxStepCount,proto3" json:"max_step_count,omitempty"`
	// Minimum number of steps for a trial to complete. Trials which do not have
	// a measurement with step_count > min_step_count won't be considered for
	// early stopping. It's ok to set it to 0, and a trial can be early stopped
	// at any stage. By default, min_step_count is set to be one-tenth of the
	// max_step_count.
	// When use_elapsed_duration is true, this field is set to the minimum
	// elapsed seconds.
	MinStepCount int64 `protobuf:"varint,2,opt,name=min_step_count,json=minStepCount,proto3" json:"min_step_count,omitempty"`
	// The minimal number of measurements in a Trial.  Early-stopping checks
	// will not trigger if less than min_measurement_count+1 completed trials or
	// pending trials with less than min_measurement_count measurements. If not
	// defined, the default value is 5.
	MinMeasurementCount int64 `protobuf:"varint,3,opt,name=min_measurement_count,json=minMeasurementCount,proto3" json:"min_measurement_count,omitempty"`
	// The hyper-parameter name used in the tuning job that stands for learning
	// rate. Leave it blank if learning rate is not in a parameter in tuning.
	// The learning_rate is used to estimate the objective value of the ongoing
	// trial.
	LearningRateParameterName string `protobuf:"bytes,4,opt,name=learning_rate_parameter_name,json=learningRateParameterName,proto3" json:"learning_rate_parameter_name,omitempty"`
	// This bool determines whether or not the rule is applied based on
	// elapsed_secs or steps. If use_elapsed_duration==false, the early stopping
	// decision is made according to the predicted objective values according to
	// the target steps. If use_elapsed_duration==true, elapsed_secs is used
	// instead of steps. Also, in this case, the parameters max_num_steps and
	// min_num_steps are overloaded to contain max_elapsed_seconds and
	// min_elapsed_seconds.
	UseElapsedDuration bool `protobuf:"varint,5,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
	// ConvexAutomatedStoppingSpec by default only updates the trials that needs
	// to be early stopped using a newly trained auto-regressive model. When
	// this flag is set to True, all stopped trials from the beginning are
	// potentially updated in terms of their `final_measurement`. Also, note
	// that the training logic of autoregressive models is different in this
	// case. Enabling this option has shown better results and this may be the
	// default option in the future.
	UpdateAllStoppedTrials *bool `protobuf:"varint,6,opt,name=update_all_stopped_trials,json=updateAllStoppedTrials,proto3,oneof" json:"update_all_stopped_trials,omitempty"`
	// contains filtered or unexported fields
}

Configuration for ConvexAutomatedStoppingSpec. When there are enough completed trials (configured by min_measurement_count), for pending trials with enough measurements and steps, the policy first computes an overestimate of the objective value at max_num_steps according to the slope of the incomplete objective value curve. No prediction can be made if the curve is completely flat. If the overestimation is worse than the best objective value of the completed trials, this pending trial will be early-stopped, but a last measurement will be added to the pending trial with max_num_steps and predicted objective value from the autoregression model.

func (*StudySpec_ConvexAutomatedStoppingSpec) Descriptor 

func (*StudySpec_ConvexAutomatedStoppingSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ConvexAutomatedStoppingSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ConvexAutomatedStoppingSpec) GetLearningRateParameterName 

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetLearningRateParameterName() string

func (*StudySpec_ConvexAutomatedStoppingSpec) GetMaxStepCount 

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetMaxStepCount() int64

func (*StudySpec_ConvexAutomatedStoppingSpec) GetMinMeasurementCount 

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetMinMeasurementCount() int64

func (*StudySpec_ConvexAutomatedStoppingSpec) GetMinStepCount 

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetMinStepCount() int64

func (*StudySpec_ConvexAutomatedStoppingSpec) GetUpdateAllStoppedTrials 

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetUpdateAllStoppedTrials() bool

func (*StudySpec_ConvexAutomatedStoppingSpec) GetUseElapsedDuration 

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetUseElapsedDuration() bool

func (*StudySpec_ConvexAutomatedStoppingSpec) ProtoMessage 

func (*StudySpec_ConvexAutomatedStoppingSpec) ProtoMessage()

func (*StudySpec_ConvexAutomatedStoppingSpec) ProtoReflect 

func (x *StudySpec_ConvexAutomatedStoppingSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ConvexAutomatedStoppingSpec) Reset 

func (x *StudySpec_ConvexAutomatedStoppingSpec) Reset()

func (*StudySpec_ConvexAutomatedStoppingSpec) String 

func (x *StudySpec_ConvexAutomatedStoppingSpec) String() string

type StudySpec_ConvexAutomatedStoppingSpec_ 

type StudySpec_ConvexAutomatedStoppingSpec_ struct {
	// The automated early stopping spec using convex stopping rule.
	ConvexAutomatedStoppingSpec *StudySpec_ConvexAutomatedStoppingSpec `protobuf:"bytes,9,opt,name=convex_automated_stopping_spec,json=convexAutomatedStoppingSpec,proto3,oneof"`
}

type StudySpec_DecayCurveAutomatedStoppingSpec 

type StudySpec_DecayCurveAutomatedStoppingSpec struct {

	// True if
	// [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
	// is used as the x-axis of each Trials Decay Curve. Otherwise,
	// [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
	// will be used as the x-axis.
	UseElapsedDuration bool `protobuf:"varint,1,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
	// contains filtered or unexported fields
}

The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial. Early stopping is requested for the current Trial if there is very low probability to exceed the optimal value found so far.

func (*StudySpec_DecayCurveAutomatedStoppingSpec) Descriptor 

func (*StudySpec_DecayCurveAutomatedStoppingSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_DecayCurveAutomatedStoppingSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_DecayCurveAutomatedStoppingSpec) GetUseElapsedDuration 

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) GetUseElapsedDuration() bool

func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoMessage 

func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoMessage()

func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoReflect 

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_DecayCurveAutomatedStoppingSpec) Reset 

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) Reset()

func (*StudySpec_DecayCurveAutomatedStoppingSpec) String 

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) String() string

type StudySpec_DecayCurveStoppingSpec 

type StudySpec_DecayCurveStoppingSpec struct {
	// The automated early stopping spec using decay curve rule.
	DecayCurveStoppingSpec *StudySpec_DecayCurveAutomatedStoppingSpec `protobuf:"bytes,4,opt,name=decay_curve_stopping_spec,json=decayCurveStoppingSpec,proto3,oneof"`
}

type StudySpec_MeasurementSelectionType 

type StudySpec_MeasurementSelectionType int32

This indicates which measurement to use if/when the service automatically selects the final measurement from previously reported intermediate measurements. Choose this based on two considerations: 

A) Do you expect your measurements to monotonically improve?
   If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
   situation where your system can "over-train" and you expect the
   performance to get better for a while but then start declining,
   choose BEST_MEASUREMENT.
B) Are your measurements significantly noisy and/or irreproducible?
   If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
   may be better to choose LAST_MEASUREMENT.
If both or neither of (A) and (B) apply, it doesn't matter which
selection type is chosen.

const (
	// Will be treated as LAST_MEASUREMENT.
	StudySpec_MEASUREMENT_SELECTION_TYPE_UNSPECIFIED StudySpec_MeasurementSelectionType = 0
	// Use the last measurement reported.
	StudySpec_LAST_MEASUREMENT StudySpec_MeasurementSelectionType = 1
	// Use the best measurement reported.
	StudySpec_BEST_MEASUREMENT StudySpec_MeasurementSelectionType = 2
)

func (StudySpec_MeasurementSelectionType) Descriptor 

func (StudySpec_MeasurementSelectionType) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_MeasurementSelectionType) Enum 

func (x StudySpec_MeasurementSelectionType) Enum() *StudySpec_MeasurementSelectionType

func (StudySpec_MeasurementSelectionType) EnumDescriptor 

func (StudySpec_MeasurementSelectionType) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_MeasurementSelectionType.Descriptor instead.

func (StudySpec_MeasurementSelectionType) Number 

func (x StudySpec_MeasurementSelectionType) Number() protoreflect.EnumNumber

func (StudySpec_MeasurementSelectionType) String 

func (x StudySpec_MeasurementSelectionType) String() string

func (StudySpec_MeasurementSelectionType) Type 

func (StudySpec_MeasurementSelectionType) Type() protoreflect.EnumType

type StudySpec_MedianAutomatedStoppingSpec 

type StudySpec_MedianAutomatedStoppingSpec struct {

	// True if median automated stopping rule applies on
	// [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
	// It means that elapsed_duration field of latest measurement of current
	// Trial is used to compute median objective value for each completed
	// Trials.
	UseElapsedDuration bool `protobuf:"varint,1,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
	// contains filtered or unexported fields
}

The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement. Currently, 'performance' refers to the running average of the objective values reported by the Trial in each measurement.

func (*StudySpec_MedianAutomatedStoppingSpec) Descriptor 

func (*StudySpec_MedianAutomatedStoppingSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_MedianAutomatedStoppingSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_MedianAutomatedStoppingSpec) GetUseElapsedDuration 

func (x *StudySpec_MedianAutomatedStoppingSpec) GetUseElapsedDuration() bool

func (*StudySpec_MedianAutomatedStoppingSpec) ProtoMessage 

func (*StudySpec_MedianAutomatedStoppingSpec) ProtoMessage()

func (*StudySpec_MedianAutomatedStoppingSpec) ProtoReflect 

func (x *StudySpec_MedianAutomatedStoppingSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_MedianAutomatedStoppingSpec) Reset 

func (x *StudySpec_MedianAutomatedStoppingSpec) Reset()

func (*StudySpec_MedianAutomatedStoppingSpec) String 

func (x *StudySpec_MedianAutomatedStoppingSpec) String() string

type StudySpec_MedianAutomatedStoppingSpec_ 

type StudySpec_MedianAutomatedStoppingSpec_ struct {
	// The automated early stopping spec using median rule.
	MedianAutomatedStoppingSpec *StudySpec_MedianAutomatedStoppingSpec `protobuf:"bytes,5,opt,name=median_automated_stopping_spec,json=medianAutomatedStoppingSpec,proto3,oneof"`
}

type StudySpec_MetricSpec 

type StudySpec_MetricSpec struct {

	// Required. The ID of the metric. Must not contain whitespaces and must be
	// unique amongst all MetricSpecs.
	MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
	// Required. The optimization goal of the metric.
	Goal StudySpec_MetricSpec_GoalType `protobuf:"varint,2,opt,name=goal,proto3,enum=google.cloud.aiplatform.v1.StudySpec_MetricSpec_GoalType" json:"goal,omitempty"`
	// Used for safe search. In the case, the metric will be a safety
	// metric. You must provide a separate metric for objective metric.
	SafetyConfig *StudySpec_MetricSpec_SafetyMetricConfig `protobuf:"bytes,3,opt,name=safety_config,json=safetyConfig,proto3,oneof" json:"safety_config,omitempty"`
	// contains filtered or unexported fields
}

Represents a metric to optimize.

func (*StudySpec_MetricSpec) Descriptor 

func (*StudySpec_MetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_MetricSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_MetricSpec) GetGoal 

func (x *StudySpec_MetricSpec) GetGoal() StudySpec_MetricSpec_GoalType

func (*StudySpec_MetricSpec) GetMetricId 

func (x *StudySpec_MetricSpec) GetMetricId() string

func (*StudySpec_MetricSpec) GetSafetyConfig 

func (x *StudySpec_MetricSpec) GetSafetyConfig() *StudySpec_MetricSpec_SafetyMetricConfig

func (*StudySpec_MetricSpec) ProtoMessage 

func (*StudySpec_MetricSpec) ProtoMessage()

func (*StudySpec_MetricSpec) ProtoReflect 

func (x *StudySpec_MetricSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_MetricSpec) Reset 

func (x *StudySpec_MetricSpec) Reset()

func (*StudySpec_MetricSpec) String 

func (x *StudySpec_MetricSpec) String() string

type StudySpec_MetricSpec_GoalType 

type StudySpec_MetricSpec_GoalType int32

The available types of optimization goals. 

const (
	// Goal Type will default to maximize.
	StudySpec_MetricSpec_GOAL_TYPE_UNSPECIFIED StudySpec_MetricSpec_GoalType = 0
	// Maximize the goal metric.
	StudySpec_MetricSpec_MAXIMIZE StudySpec_MetricSpec_GoalType = 1
	// Minimize the goal metric.
	StudySpec_MetricSpec_MINIMIZE StudySpec_MetricSpec_GoalType = 2
)

func (StudySpec_MetricSpec_GoalType) Descriptor 

func (StudySpec_MetricSpec_GoalType) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_MetricSpec_GoalType) Enum 

func (x StudySpec_MetricSpec_GoalType) Enum() *StudySpec_MetricSpec_GoalType

func (StudySpec_MetricSpec_GoalType) EnumDescriptor 

func (StudySpec_MetricSpec_GoalType) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_MetricSpec_GoalType.Descriptor instead.

func (StudySpec_MetricSpec_GoalType) Number 

func (x StudySpec_MetricSpec_GoalType) Number() protoreflect.EnumNumber

func (StudySpec_MetricSpec_GoalType) String 

func (x StudySpec_MetricSpec_GoalType) String() string

func (StudySpec_MetricSpec_GoalType) Type 

func (StudySpec_MetricSpec_GoalType) Type() protoreflect.EnumType

type StudySpec_MetricSpec_SafetyMetricConfig 

type StudySpec_MetricSpec_SafetyMetricConfig struct {

	// Safety threshold (boundary value between safe and unsafe). NOTE that if
	// you leave SafetyMetricConfig unset, a default value of 0 will be used.
	SafetyThreshold float64 `protobuf:"fixed64,1,opt,name=safety_threshold,json=safetyThreshold,proto3" json:"safety_threshold,omitempty"`
	// Desired minimum fraction of safe trials (over total number of trials)
	// that should be targeted by the algorithm at any time during the
	// study (best effort). This should be between 0.0 and 1.0 and a value of
	// 0.0 means that there is no minimum and an algorithm proceeds without
	// targeting any specific fraction. A value of 1.0 means that the
	// algorithm attempts to only Suggest safe Trials.
	DesiredMinSafeTrialsFraction *float64 `protobuf:"fixed64,2,opt,name=desired_min_safe_trials_fraction,json=desiredMinSafeTrialsFraction,proto3,oneof" json:"desired_min_safe_trials_fraction,omitempty"`
	// contains filtered or unexported fields
}

Used in safe optimization to specify threshold levels and risk tolerance.

func (*StudySpec_MetricSpec_SafetyMetricConfig) Descriptor 

func (*StudySpec_MetricSpec_SafetyMetricConfig) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_MetricSpec_SafetyMetricConfig.ProtoReflect.Descriptor instead.

func (*StudySpec_MetricSpec_SafetyMetricConfig) GetDesiredMinSafeTrialsFraction 

func (x *StudySpec_MetricSpec_SafetyMetricConfig) GetDesiredMinSafeTrialsFraction() float64

func (*StudySpec_MetricSpec_SafetyMetricConfig) GetSafetyThreshold 

func (x *StudySpec_MetricSpec_SafetyMetricConfig) GetSafetyThreshold() float64

func (*StudySpec_MetricSpec_SafetyMetricConfig) ProtoMessage 

func (*StudySpec_MetricSpec_SafetyMetricConfig) ProtoMessage()

func (*StudySpec_MetricSpec_SafetyMetricConfig) ProtoReflect 

func (x *StudySpec_MetricSpec_SafetyMetricConfig) ProtoReflect() protoreflect.Message

func (*StudySpec_MetricSpec_SafetyMetricConfig) Reset 

func (x *StudySpec_MetricSpec_SafetyMetricConfig) Reset()

func (*StudySpec_MetricSpec_SafetyMetricConfig) String 

func (x *StudySpec_MetricSpec_SafetyMetricConfig) String() string

type StudySpec_ObservationNoise 

type StudySpec_ObservationNoise int32

Describes the noise level of the repeated observations.

"Noisy" means that the repeated observations with the same Trial parameters may lead to different metric evaluations. 

const (
	// The default noise level chosen by Vertex AI.
	StudySpec_OBSERVATION_NOISE_UNSPECIFIED StudySpec_ObservationNoise = 0
	// Vertex AI assumes that the objective function is (nearly)
	// perfectly reproducible, and will never repeat the same Trial
	// parameters.
	StudySpec_LOW StudySpec_ObservationNoise = 1
	// Vertex AI will estimate the amount of noise in metric
	// evaluations, it may repeat the same Trial parameters more than once.
	StudySpec_HIGH StudySpec_ObservationNoise = 2
)

func (StudySpec_ObservationNoise) Descriptor 

func (StudySpec_ObservationNoise) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_ObservationNoise) Enum 

func (x StudySpec_ObservationNoise) Enum() *StudySpec_ObservationNoise

func (StudySpec_ObservationNoise) EnumDescriptor 

func (StudySpec_ObservationNoise) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_ObservationNoise.Descriptor instead.

func (StudySpec_ObservationNoise) Number 

func (x StudySpec_ObservationNoise) Number() protoreflect.EnumNumber

func (StudySpec_ObservationNoise) String 

func (x StudySpec_ObservationNoise) String() string

func (StudySpec_ObservationNoise) Type 

func (StudySpec_ObservationNoise) Type() protoreflect.EnumType

type StudySpec_ParameterSpec 

type StudySpec_ParameterSpec struct {

	// Types that are assignable to ParameterValueSpec:
	//
	//	*StudySpec_ParameterSpec_DoubleValueSpec_
	//	*StudySpec_ParameterSpec_IntegerValueSpec_
	//	*StudySpec_ParameterSpec_CategoricalValueSpec_
	//	*StudySpec_ParameterSpec_DiscreteValueSpec_
	ParameterValueSpec isStudySpec_ParameterSpec_ParameterValueSpec `protobuf_oneof:"parameter_value_spec"`
	// Required. The ID of the parameter. Must not contain whitespaces and must
	// be unique amongst all ParameterSpecs.
	ParameterId string `protobuf:"bytes,1,opt,name=parameter_id,json=parameterId,proto3" json:"parameter_id,omitempty"`
	// How the parameter should be scaled.
	// Leave unset for `CATEGORICAL` parameters.
	ScaleType StudySpec_ParameterSpec_ScaleType `protobuf:"varint,6,opt,name=scale_type,json=scaleType,proto3,enum=google.cloud.aiplatform.v1.StudySpec_ParameterSpec_ScaleType" json:"scale_type,omitempty"`
	// A conditional parameter node is active if the parameter's value matches
	// the conditional node's parent_value_condition.
	//
	// If two items in conditional_parameter_specs have the same name, they
	// must have disjoint parent_value_condition.
	ConditionalParameterSpecs []*StudySpec_ParameterSpec_ConditionalParameterSpec `protobuf:"bytes,10,rep,name=conditional_parameter_specs,json=conditionalParameterSpecs,proto3" json:"conditional_parameter_specs,omitempty"`
	// contains filtered or unexported fields
}

Represents a single parameter to optimize.

func (*StudySpec_ParameterSpec) Descriptor 

func (*StudySpec_ParameterSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec) GetCategoricalValueSpec 

func (x *StudySpec_ParameterSpec) GetCategoricalValueSpec() *StudySpec_ParameterSpec_CategoricalValueSpec

func (*StudySpec_ParameterSpec) GetConditionalParameterSpecs 

func (x *StudySpec_ParameterSpec) GetConditionalParameterSpecs() []*StudySpec_ParameterSpec_ConditionalParameterSpec

func (*StudySpec_ParameterSpec) GetDiscreteValueSpec 

func (x *StudySpec_ParameterSpec) GetDiscreteValueSpec() *StudySpec_ParameterSpec_DiscreteValueSpec

func (*StudySpec_ParameterSpec) GetDoubleValueSpec 

func (x *StudySpec_ParameterSpec) GetDoubleValueSpec() *StudySpec_ParameterSpec_DoubleValueSpec

func (*StudySpec_ParameterSpec) GetIntegerValueSpec 

func (x *StudySpec_ParameterSpec) GetIntegerValueSpec() *StudySpec_ParameterSpec_IntegerValueSpec

func (*StudySpec_ParameterSpec) GetParameterId 

func (x *StudySpec_ParameterSpec) GetParameterId() string

func (*StudySpec_ParameterSpec) GetParameterValueSpec 

func (m *StudySpec_ParameterSpec) GetParameterValueSpec() isStudySpec_ParameterSpec_ParameterValueSpec

func (*StudySpec_ParameterSpec) GetScaleType 

func (x *StudySpec_ParameterSpec) GetScaleType() StudySpec_ParameterSpec_ScaleType

func (*StudySpec_ParameterSpec) ProtoMessage 

func (*StudySpec_ParameterSpec) ProtoMessage()

func (*StudySpec_ParameterSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec) Reset 

func (x *StudySpec_ParameterSpec) Reset()

func (*StudySpec_ParameterSpec) String 

func (x *StudySpec_ParameterSpec) String() string

type StudySpec_ParameterSpec_CategoricalValueSpec 

type StudySpec_ParameterSpec_CategoricalValueSpec struct {

	// Required. The list of possible categories.
	Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// A default value for a `CATEGORICAL` parameter that is assumed to be a
	// relatively good starting point.  Unset value signals that there is no
	// offered starting point.
	//
	// Currently only supported by the Vertex AI Vizier service. Not supported
	// by HyperparameterTuningJob or TrainingPipeline.
	DefaultValue *string `protobuf:"bytes,3,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in `CATEGORICAL` type.

func (*StudySpec_ParameterSpec_CategoricalValueSpec) Descriptor 

func (*StudySpec_ParameterSpec_CategoricalValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_CategoricalValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_CategoricalValueSpec) GetDefaultValue 

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) GetDefaultValue() string

func (*StudySpec_ParameterSpec_CategoricalValueSpec) GetValues 

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) GetValues() []string

func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_CategoricalValueSpec) Reset 

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) Reset()

func (*StudySpec_ParameterSpec_CategoricalValueSpec) String 

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) String() string

type StudySpec_ParameterSpec_CategoricalValueSpec_ 

type StudySpec_ParameterSpec_CategoricalValueSpec_ struct {
	// The value spec for a 'CATEGORICAL' parameter.
	CategoricalValueSpec *StudySpec_ParameterSpec_CategoricalValueSpec `protobuf:"bytes,4,opt,name=categorical_value_spec,json=categoricalValueSpec,proto3,oneof"`
}

type StudySpec_ParameterSpec_ConditionalParameterSpec 

type StudySpec_ParameterSpec_ConditionalParameterSpec struct {

	// A set of parameter values from the parent ParameterSpec's feasible
	// space.
	//
	// Types that are assignable to ParentValueCondition:
	//
	//	*StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues
	//	*StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues
	//	*StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues
	ParentValueCondition isStudySpec_ParameterSpec_ConditionalParameterSpec_ParentValueCondition `protobuf_oneof:"parent_value_condition"`
	// Required. The spec for a conditional parameter.
	ParameterSpec *StudySpec_ParameterSpec `protobuf:"bytes,1,opt,name=parameter_spec,json=parameterSpec,proto3" json:"parameter_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents a parameter spec with condition from its parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Descriptor 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParameterSpec 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParameterSpec() *StudySpec_ParameterSpec

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentCategoricalValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentCategoricalValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentDiscreteValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentDiscreteValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentIntValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentIntValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentValueCondition 

func (m *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentValueCondition() isStudySpec_ParameterSpec_ConditionalParameterSpec_ParentValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Reset 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) String 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) String() string

type StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition 

type StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition struct {

	// Required. Matches values of the parent parameter of 'CATEGORICAL'
	// type. All values must exist in `categorical_value_spec` of parent
	// parameter.
	Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec to match categorical values from parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Descriptor 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) GetValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) GetValues() []string

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoMessage 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoReflect 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Reset 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) String 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) String() string

type StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition 

type StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition struct {

	// Required. Matches values of the parent parameter of 'DISCRETE' type.
	// All values must exist in `discrete_value_spec` of parent parameter.
	//
	// The Epsilon of the value matching is 1e-10.
	Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec to match discrete values from parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Descriptor 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) GetValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) GetValues() []float64

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoMessage 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoReflect 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Reset 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) String 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) String() string

type StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition 

type StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition struct {

	// Required. Matches values of the parent parameter of 'INTEGER' type.
	// All values must lie in `integer_value_spec` of parent parameter.
	Values []int64 `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec to match integer values from parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Descriptor 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) GetValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) GetValues() []int64

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoMessage 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoReflect 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Reset 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) String 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) String() string

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues 

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues struct {
	// The spec for matching values from a parent parameter of
	// `CATEGORICAL` type.
	ParentCategoricalValues *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition `protobuf:"bytes,4,opt,name=parent_categorical_values,json=parentCategoricalValues,proto3,oneof"`
}

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues 

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues struct {
	// The spec for matching values from a parent parameter of
	// `DISCRETE` type.
	ParentDiscreteValues *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition `protobuf:"bytes,2,opt,name=parent_discrete_values,json=parentDiscreteValues,proto3,oneof"`
}

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues 

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues struct {
	// The spec for matching values from a parent parameter of `INTEGER`
	// type.
	ParentIntValues *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition `protobuf:"bytes,3,opt,name=parent_int_values,json=parentIntValues,proto3,oneof"`
}

type StudySpec_ParameterSpec_DiscreteValueSpec 

type StudySpec_ParameterSpec_DiscreteValueSpec struct {

	// Required. A list of possible values.
	// The list should be in increasing order and at least 1e-10 apart.
	// For instance, this parameter might have possible settings of 1.5, 2.5,
	// and 4.0. This list should not contain more than 1,000 values.
	Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// A default value for a `DISCRETE` parameter that is assumed to be a
	// relatively good starting point.  Unset value signals that there is no
	// offered starting point.  It automatically rounds to the
	// nearest feasible discrete point.
	//
	// Currently only supported by the Vertex AI Vizier service. Not supported
	// by HyperparameterTuningJob or TrainingPipeline.
	DefaultValue *float64 `protobuf:"fixed64,3,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in `DISCRETE` type.

func (*StudySpec_ParameterSpec_DiscreteValueSpec) Descriptor 

func (*StudySpec_ParameterSpec_DiscreteValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_DiscreteValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_DiscreteValueSpec) GetDefaultValue 

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) GetDefaultValue() float64

func (*StudySpec_ParameterSpec_DiscreteValueSpec) GetValues 

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) GetValues() []float64

func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_DiscreteValueSpec) Reset 

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) Reset()

func (*StudySpec_ParameterSpec_DiscreteValueSpec) String 

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) String() string

type StudySpec_ParameterSpec_DiscreteValueSpec_ 

type StudySpec_ParameterSpec_DiscreteValueSpec_ struct {
	// The value spec for a 'DISCRETE' parameter.
	DiscreteValueSpec *StudySpec_ParameterSpec_DiscreteValueSpec `protobuf:"bytes,5,opt,name=discrete_value_spec,json=discreteValueSpec,proto3,oneof"`
}

type StudySpec_ParameterSpec_DoubleValueSpec 

type StudySpec_ParameterSpec_DoubleValueSpec struct {

	// Required. Inclusive minimum value of the parameter.
	MinValue float64 `protobuf:"fixed64,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	// Required. Inclusive maximum value of the parameter.
	MaxValue float64 `protobuf:"fixed64,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	// A default value for a `DOUBLE` parameter that is assumed to be a
	// relatively good starting point.  Unset value signals that there is no
	// offered starting point.
	//
	// Currently only supported by the Vertex AI Vizier service. Not supported
	// by HyperparameterTuningJob or TrainingPipeline.
	DefaultValue *float64 `protobuf:"fixed64,4,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in `DOUBLE` type.

func (*StudySpec_ParameterSpec_DoubleValueSpec) Descriptor 

func (*StudySpec_ParameterSpec_DoubleValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_DoubleValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_DoubleValueSpec) GetDefaultValue 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetDefaultValue() float64

func (*StudySpec_ParameterSpec_DoubleValueSpec) GetMaxValue 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetMaxValue() float64

func (*StudySpec_ParameterSpec_DoubleValueSpec) GetMinValue 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetMinValue() float64

func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_DoubleValueSpec) Reset 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) Reset()

func (*StudySpec_ParameterSpec_DoubleValueSpec) String 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) String() string

type StudySpec_ParameterSpec_DoubleValueSpec_ 

type StudySpec_ParameterSpec_DoubleValueSpec_ struct {
	// The value spec for a 'DOUBLE' parameter.
	DoubleValueSpec *StudySpec_ParameterSpec_DoubleValueSpec `protobuf:"bytes,2,opt,name=double_value_spec,json=doubleValueSpec,proto3,oneof"`
}

type StudySpec_ParameterSpec_IntegerValueSpec 

type StudySpec_ParameterSpec_IntegerValueSpec struct {

	// Required. Inclusive minimum value of the parameter.
	MinValue int64 `protobuf:"varint,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	// Required. Inclusive maximum value of the parameter.
	MaxValue int64 `protobuf:"varint,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	// A default value for an `INTEGER` parameter that is assumed to be a
	// relatively good starting point.  Unset value signals that there is no
	// offered starting point.
	//
	// Currently only supported by the Vertex AI Vizier service. Not supported
	// by HyperparameterTuningJob or TrainingPipeline.
	DefaultValue *int64 `protobuf:"varint,4,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in `INTEGER` type.

func (*StudySpec_ParameterSpec_IntegerValueSpec) Descriptor 

func (*StudySpec_ParameterSpec_IntegerValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_IntegerValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_IntegerValueSpec) GetDefaultValue 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetDefaultValue() int64

func (*StudySpec_ParameterSpec_IntegerValueSpec) GetMaxValue 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetMaxValue() int64

func (*StudySpec_ParameterSpec_IntegerValueSpec) GetMinValue 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetMinValue() int64

func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_IntegerValueSpec) Reset 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) Reset()

func (*StudySpec_ParameterSpec_IntegerValueSpec) String 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) String() string

type StudySpec_ParameterSpec_IntegerValueSpec_ 

type StudySpec_ParameterSpec_IntegerValueSpec_ struct {
	// The value spec for an 'INTEGER' parameter.
	IntegerValueSpec *StudySpec_ParameterSpec_IntegerValueSpec `protobuf:"bytes,3,opt,name=integer_value_spec,json=integerValueSpec,proto3,oneof"`
}

type StudySpec_ParameterSpec_ScaleType 

type StudySpec_ParameterSpec_ScaleType int32

The type of scaling that should be applied to this parameter. 

const (
	// By default, no scaling is applied.
	StudySpec_ParameterSpec_SCALE_TYPE_UNSPECIFIED StudySpec_ParameterSpec_ScaleType = 0
	// Scales the feasible space to (0, 1) linearly.
	StudySpec_ParameterSpec_UNIT_LINEAR_SCALE StudySpec_ParameterSpec_ScaleType = 1
	// Scales the feasible space logarithmically to (0, 1). The entire
	// feasible space must be strictly positive.
	StudySpec_ParameterSpec_UNIT_LOG_SCALE StudySpec_ParameterSpec_ScaleType = 2
	// Scales the feasible space "reverse" logarithmically to (0, 1). The
	// result is that values close to the top of the feasible space are spread
	// out more than points near the bottom. The entire feasible space must be
	// strictly positive.
	StudySpec_ParameterSpec_UNIT_REVERSE_LOG_SCALE StudySpec_ParameterSpec_ScaleType = 3
)

func (StudySpec_ParameterSpec_ScaleType) Descriptor 

func (StudySpec_ParameterSpec_ScaleType) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_ParameterSpec_ScaleType) Enum 

func (x StudySpec_ParameterSpec_ScaleType) Enum() *StudySpec_ParameterSpec_ScaleType

func (StudySpec_ParameterSpec_ScaleType) EnumDescriptor 

func (StudySpec_ParameterSpec_ScaleType) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ScaleType.Descriptor instead.

func (StudySpec_ParameterSpec_ScaleType) Number 

func (x StudySpec_ParameterSpec_ScaleType) Number() protoreflect.EnumNumber

func (StudySpec_ParameterSpec_ScaleType) String 

func (x StudySpec_ParameterSpec_ScaleType) String() string

func (StudySpec_ParameterSpec_ScaleType) Type 

func (StudySpec_ParameterSpec_ScaleType) Type() protoreflect.EnumType

type StudySpec_StudyStoppingConfig 

type StudySpec_StudyStoppingConfig struct {

	// If true, a Study enters STOPPING_ASAP whenever it would normally enters
	// STOPPING state.
	//
	// The bottom line is: set to true if you want to interrupt on-going
	// evaluations of Trials as soon as the study stopping condition is met.
	// (Please see Study.State documentation for the source of truth).
	ShouldStopAsap *wrapperspb.BoolValue `protobuf:"bytes,1,opt,name=should_stop_asap,json=shouldStopAsap,proto3" json:"should_stop_asap,omitempty"`
	// Each "stopping rule" in this proto specifies an "if" condition. Before
	// Vizier would generate a new suggestion, it first checks each specified
	// stopping rule, from top to bottom in this list.
	// Note that the first few rules (e.g. minimum_runtime_constraint,
	// min_num_trials) will prevent other stopping rules from being evaluated
	// until they are met. For example, setting `min_num_trials=5` and
	// `always_stop_after= 1 hour` means that the Study will ONLY stop after it
	// has 5 COMPLETED trials, even if more than an hour has passed since its
	// creation. It follows the first applicable rule (whose "if" condition is
	// satisfied) to make a stopping decision. If none of the specified rules
	// are applicable, then Vizier decides that the study should not stop.
	// If Vizier decides that the study should stop, the study enters
	// STOPPING state (or STOPPING_ASAP if should_stop_asap = true).
	// IMPORTANT: The automatic study state transition happens precisely as
	// described above; that is, deleting trials or updating StudyConfig NEVER
	// automatically moves the study state back to ACTIVE. If you want to
	// _resume_ a Study that was stopped, 1) change the stopping conditions if
	// necessary, 2) activate the study, and then 3) ask for suggestions.
	// If the specified time or duration has not passed, do not stop the
	// study.
	MinimumRuntimeConstraint *StudyTimeConstraint `protobuf:"bytes,2,opt,name=minimum_runtime_constraint,json=minimumRuntimeConstraint,proto3" json:"minimum_runtime_constraint,omitempty"`
	// If the specified time or duration has passed, stop the study.
	MaximumRuntimeConstraint *StudyTimeConstraint `protobuf:"bytes,3,opt,name=maximum_runtime_constraint,json=maximumRuntimeConstraint,proto3" json:"maximum_runtime_constraint,omitempty"`
	// If there are fewer than this many COMPLETED trials, do not stop the
	// study.
	MinNumTrials *wrapperspb.Int32Value `protobuf:"bytes,4,opt,name=min_num_trials,json=minNumTrials,proto3" json:"min_num_trials,omitempty"`
	// If there are more than this many trials, stop the study.
	MaxNumTrials *wrapperspb.Int32Value `protobuf:"bytes,5,opt,name=max_num_trials,json=maxNumTrials,proto3" json:"max_num_trials,omitempty"`
	// If the objective value has not improved for this many consecutive
	// trials, stop the study.
	//
	// WARNING: Effective only for single-objective studies.
	MaxNumTrialsNoProgress *wrapperspb.Int32Value `protobuf:"bytes,6,opt,name=max_num_trials_no_progress,json=maxNumTrialsNoProgress,proto3" json:"max_num_trials_no_progress,omitempty"`
	// If the objective value has not improved for this much time, stop the
	// study.
	//
	// WARNING: Effective only for single-objective studies.
	MaxDurationNoProgress *durationpb.Duration `protobuf:"bytes,7,opt,name=max_duration_no_progress,json=maxDurationNoProgress,proto3" json:"max_duration_no_progress,omitempty"`
	// contains filtered or unexported fields
}

The configuration (stopping conditions) for automated stopping of a Study. Conditions include trial budgets, time budgets, and convergence detection.

func (*StudySpec_StudyStoppingConfig) Descriptor 

func (*StudySpec_StudyStoppingConfig) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_StudyStoppingConfig.ProtoReflect.Descriptor instead.

func (*StudySpec_StudyStoppingConfig) GetMaxDurationNoProgress 

func (x *StudySpec_StudyStoppingConfig) GetMaxDurationNoProgress() *durationpb.Duration

func (*StudySpec_StudyStoppingConfig) GetMaxNumTrials 

func (x *StudySpec_StudyStoppingConfig) GetMaxNumTrials() *wrapperspb.Int32Value

func (*StudySpec_StudyStoppingConfig) GetMaxNumTrialsNoProgress 

func (x *StudySpec_StudyStoppingConfig) GetMaxNumTrialsNoProgress() *wrapperspb.Int32Value

func (*StudySpec_StudyStoppingConfig) GetMaximumRuntimeConstraint 

func (x *StudySpec_StudyStoppingConfig) GetMaximumRuntimeConstraint() *StudyTimeConstraint

func (*StudySpec_StudyStoppingConfig) GetMinNumTrials 

func (x *StudySpec_StudyStoppingConfig) GetMinNumTrials() *wrapperspb.Int32Value

func (*StudySpec_StudyStoppingConfig) GetMinimumRuntimeConstraint 

func (x *StudySpec_StudyStoppingConfig) GetMinimumRuntimeConstraint() *StudyTimeConstraint

func (*StudySpec_StudyStoppingConfig) GetShouldStopAsap 

func (x *StudySpec_StudyStoppingConfig) GetShouldStopAsap() *wrapperspb.BoolValue

func (*StudySpec_StudyStoppingConfig) ProtoMessage 

func (*StudySpec_StudyStoppingConfig) ProtoMessage()

func (*StudySpec_StudyStoppingConfig) ProtoReflect 

func (x *StudySpec_StudyStoppingConfig) ProtoReflect() protoreflect.Message

func (*StudySpec_StudyStoppingConfig) Reset 

func (x *StudySpec_StudyStoppingConfig) Reset()

func (*StudySpec_StudyStoppingConfig) String 

func (x *StudySpec_StudyStoppingConfig) String() string

type StudyTimeConstraint 

type StudyTimeConstraint struct {

	// Types that are assignable to Constraint:
	//
	//	*StudyTimeConstraint_MaxDuration
	//	*StudyTimeConstraint_EndTime
	Constraint isStudyTimeConstraint_Constraint `protobuf_oneof:"constraint"`
	// contains filtered or unexported fields
}

Time-based Constraint for Study

func (*StudyTimeConstraint) Descriptor 

func (*StudyTimeConstraint) Descriptor() ([]byte, []int)

Deprecated: Use StudyTimeConstraint.ProtoReflect.Descriptor instead.

func (*StudyTimeConstraint) GetConstraint 

func (m *StudyTimeConstraint) GetConstraint() isStudyTimeConstraint_Constraint

func (*StudyTimeConstraint) GetEndTime 

func (x *StudyTimeConstraint) GetEndTime() *timestamppb.Timestamp

func (*StudyTimeConstraint) GetMaxDuration 

func (x *StudyTimeConstraint) GetMaxDuration() *durationpb.Duration

func (*StudyTimeConstraint) ProtoMessage 

func (*StudyTimeConstraint) ProtoMessage()

func (*StudyTimeConstraint) ProtoReflect 

func (x *StudyTimeConstraint) ProtoReflect() protoreflect.Message

func (*StudyTimeConstraint) Reset 

func (x *StudyTimeConstraint) Reset()

func (*StudyTimeConstraint) String 

func (x *StudyTimeConstraint) String() string

type StudyTimeConstraint_EndTime 

type StudyTimeConstraint_EndTime struct {
	// Compares the wallclock time to this time. Must use UTC timezone.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=end_time,json=endTime,proto3,oneof"`
}

type StudyTimeConstraint_MaxDuration 

type StudyTimeConstraint_MaxDuration struct {
	// Counts the wallclock time passed since the creation of this Study.
	MaxDuration *durationpb.Duration `protobuf:"bytes,1,opt,name=max_duration,json=maxDuration,proto3,oneof"`
}

type Study_State 

type Study_State int32

Describes the Study state. 

const (
	// The study state is unspecified.
	Study_STATE_UNSPECIFIED Study_State = 0
	// The study is active.
	Study_ACTIVE Study_State = 1
	// The study is stopped due to an internal error.
	Study_INACTIVE Study_State = 2
	// The study is done when the service exhausts the parameter search space
	// or max_trial_count is reached.
	Study_COMPLETED Study_State = 3
)

func (Study_State) Descriptor 

func (Study_State) Descriptor() protoreflect.EnumDescriptor

func (Study_State) Enum 

func (x Study_State) Enum() *Study_State

func (Study_State) EnumDescriptor 

func (Study_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Study_State.Descriptor instead.

func (Study_State) Number 

func (x Study_State) Number() protoreflect.EnumNumber

func (Study_State) String 

func (x Study_State) String() string

func (Study_State) Type 

func (Study_State) Type() protoreflect.EnumType

type SuggestTrialsMetadata 

type SuggestTrialsMetadata struct {

	// Operation metadata for suggesting Trials.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The identifier of the client that is requesting the suggestion.
	//
	// If multiple SuggestTrialsRequests have the same `client_id`,
	// the service will return the identical suggested Trial if the Trial is
	// pending, and provide a new Trial if the last suggested Trial was completed.
	ClientId string `protobuf:"bytes,2,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform Trials suggestion.

func (*SuggestTrialsMetadata) Descriptor 

func (*SuggestTrialsMetadata) Descriptor() ([]byte, []int)

Deprecated: Use SuggestTrialsMetadata.ProtoReflect.Descriptor instead.

func (*SuggestTrialsMetadata) GetClientId 

func (x *SuggestTrialsMetadata) GetClientId() string

func (*SuggestTrialsMetadata) GetGenericMetadata 

func (x *SuggestTrialsMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*SuggestTrialsMetadata) ProtoMessage 

func (*SuggestTrialsMetadata) ProtoMessage()

func (*SuggestTrialsMetadata) ProtoReflect 

func (x *SuggestTrialsMetadata) ProtoReflect() protoreflect.Message

func (*SuggestTrialsMetadata) Reset 

func (x *SuggestTrialsMetadata) Reset()

func (*SuggestTrialsMetadata) String 

func (x *SuggestTrialsMetadata) String() string

type SuggestTrialsRequest 

type SuggestTrialsRequest struct {

	// Required. The project and location that the Study belongs to.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The number of suggestions requested. It must be positive.
	SuggestionCount int32 `protobuf:"varint,2,opt,name=suggestion_count,json=suggestionCount,proto3" json:"suggestion_count,omitempty"`
	// Required. The identifier of the client that is requesting the suggestion.
	//
	// If multiple SuggestTrialsRequests have the same `client_id`,
	// the service will return the identical suggested Trial if the Trial is
	// pending, and provide a new Trial if the last suggested Trial was completed.
	ClientId string `protobuf:"bytes,3,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
	// Optional. This allows you to specify the "context" for a Trial; a context
	// is a slice (a subspace) of the search space.
	//
	// Typical uses for contexts:
	//  1. You are using Vizier to tune a server for best performance, but there's
	//     a strong weekly cycle.  The context specifies the day-of-week.
	//     This allows Tuesday to generalize from Wednesday without assuming that
	//     everything is identical.
	//  2. Imagine you're optimizing some medical treatment for people.
	//     As they walk in the door, you know certain facts about them
	//     (e.g. sex, weight, height, blood-pressure).  Put that information in the
	//     context, and Vizier will adapt its suggestions to the patient.
	//  3. You want to do a fair A/B test efficiently.  Specify the "A" and "B"
	//     conditions as contexts, and Vizier will generalize between "A" and "B"
	//     conditions.  If they are similar, this will allow Vizier to converge
	//     to the optimum faster than if "A" and "B" were separate Studies.
	//     NOTE: You can also enter contexts as REQUESTED Trials, e.g. via the
	//     CreateTrial() RPC; that's the asynchronous option where you don't need a
	//     close association between contexts and suggestions.
	//
	// NOTE: All the Parameters you set in a context MUST be defined in the
	//
	//	Study.
	//
	// NOTE: You must supply 0 or $suggestion_count contexts.
	//
	//	If you don't supply any contexts, Vizier will make suggestions
	//	from the full search space specified in the StudySpec; if you supply
	//	a full set of context, each suggestion will match the corresponding
	//	context.
	//
	// NOTE: A Context with no features set matches anything, and allows
	//
	//	suggestions from the full search space.
	//
	// NOTE: Contexts MUST lie within the search space specified in the
	//
	//	StudySpec.  It's an error if they don't.
	//
	// NOTE: Contexts preferentially match ACTIVE then REQUESTED trials before
	//
	//	new suggestions are generated.
	//
	// NOTE: Generation of suggestions involves a match between a Context and
	//
	//	(optionally) a REQUESTED trial; if that match is not fully specified, a
	//	suggestion will be geneated in the merged subspace.
	Contexts []*TrialContext `protobuf:"bytes,4,rep,name=contexts,proto3" json:"contexts,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].

func (*SuggestTrialsRequest) Descriptor 

func (*SuggestTrialsRequest) Descriptor() ([]byte, []int)

Deprecated: Use SuggestTrialsRequest.ProtoReflect.Descriptor instead.

func (*SuggestTrialsRequest) GetClientId 

func (x *SuggestTrialsRequest) GetClientId() string

func (*SuggestTrialsRequest) GetContexts 

func (x *SuggestTrialsRequest) GetContexts() []*TrialContext

func (*SuggestTrialsRequest) GetParent 

func (x *SuggestTrialsRequest) GetParent() string

func (*SuggestTrialsRequest) GetSuggestionCount 

func (x *SuggestTrialsRequest) GetSuggestionCount() int32

func (*SuggestTrialsRequest) ProtoMessage 

func (*SuggestTrialsRequest) ProtoMessage()

func (*SuggestTrialsRequest) ProtoReflect 

func (x *SuggestTrialsRequest) ProtoReflect() protoreflect.Message

func (*SuggestTrialsRequest) Reset 

func (x *SuggestTrialsRequest) Reset()

func (*SuggestTrialsRequest) String 

func (x *SuggestTrialsRequest) String() string

type SuggestTrialsResponse 

type SuggestTrialsResponse struct {

	// A list of Trials.
	Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"`
	// The state of the Study.
	StudyState Study_State `protobuf:"varint,2,opt,name=study_state,json=studyState,proto3,enum=google.cloud.aiplatform.v1.Study_State" json:"study_state,omitempty"`
	// The time at which the operation was started.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// The time at which operation processing completed.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].

func (*SuggestTrialsResponse) Descriptor 

func (*SuggestTrialsResponse) Descriptor() ([]byte, []int)

Deprecated: Use SuggestTrialsResponse.ProtoReflect.Descriptor instead.

func (*SuggestTrialsResponse) GetEndTime 

func (x *SuggestTrialsResponse) GetEndTime() *timestamppb.Timestamp

func (*SuggestTrialsResponse) GetStartTime 

func (x *SuggestTrialsResponse) GetStartTime() *timestamppb.Timestamp

func (*SuggestTrialsResponse) GetStudyState 

func (x *SuggestTrialsResponse) GetStudyState() Study_State

func (*SuggestTrialsResponse) GetTrials 

func (x *SuggestTrialsResponse) GetTrials() []*Trial

func (*SuggestTrialsResponse) ProtoMessage 

func (*SuggestTrialsResponse) ProtoMessage()

func (*SuggestTrialsResponse) ProtoReflect 

func (x *SuggestTrialsResponse) ProtoReflect() protoreflect.Message

func (*SuggestTrialsResponse) Reset 

func (x *SuggestTrialsResponse) Reset()

func (*SuggestTrialsResponse) String 

func (x *SuggestTrialsResponse) String() string

type SummarizationHelpfulnessInput 

type SummarizationHelpfulnessInput struct {

	// Required. Spec for summarization helpfulness score metric.
	MetricSpec *SummarizationHelpfulnessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Summarization helpfulness instance.
	Instance *SummarizationHelpfulnessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for summarization helpfulness metric.

func (*SummarizationHelpfulnessInput) Descriptor 

func (*SummarizationHelpfulnessInput) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationHelpfulnessInput.ProtoReflect.Descriptor instead.

func (*SummarizationHelpfulnessInput) GetInstance 

func (x *SummarizationHelpfulnessInput) GetInstance() *SummarizationHelpfulnessInstance

func (*SummarizationHelpfulnessInput) GetMetricSpec 

func (x *SummarizationHelpfulnessInput) GetMetricSpec() *SummarizationHelpfulnessSpec

func (*SummarizationHelpfulnessInput) ProtoMessage 

func (*SummarizationHelpfulnessInput) ProtoMessage()

func (*SummarizationHelpfulnessInput) ProtoReflect 

func (x *SummarizationHelpfulnessInput) ProtoReflect() protoreflect.Message

func (*SummarizationHelpfulnessInput) Reset 

func (x *SummarizationHelpfulnessInput) Reset()

func (*SummarizationHelpfulnessInput) String 

func (x *SummarizationHelpfulnessInput) String() string

type SummarizationHelpfulnessInstance 

type SummarizationHelpfulnessInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Required. Text to be summarized.
	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// Optional. Summarization prompt for LLM.
	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for summarization helpfulness instance.

func (*SummarizationHelpfulnessInstance) Descriptor 

func (*SummarizationHelpfulnessInstance) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationHelpfulnessInstance.ProtoReflect.Descriptor instead.

func (*SummarizationHelpfulnessInstance) GetContext 

func (x *SummarizationHelpfulnessInstance) GetContext() string

func (*SummarizationHelpfulnessInstance) GetInstruction 

func (x *SummarizationHelpfulnessInstance) GetInstruction() string

func (*SummarizationHelpfulnessInstance) GetPrediction 

func (x *SummarizationHelpfulnessInstance) GetPrediction() string

func (*SummarizationHelpfulnessInstance) GetReference 

func (x *SummarizationHelpfulnessInstance) GetReference() string

func (*SummarizationHelpfulnessInstance) ProtoMessage 

func (*SummarizationHelpfulnessInstance) ProtoMessage()

func (*SummarizationHelpfulnessInstance) ProtoReflect 

func (x *SummarizationHelpfulnessInstance) ProtoReflect() protoreflect.Message

func (*SummarizationHelpfulnessInstance) Reset 

func (x *SummarizationHelpfulnessInstance) Reset()

func (*SummarizationHelpfulnessInstance) String 

func (x *SummarizationHelpfulnessInstance) String() string

type SummarizationHelpfulnessResult 

type SummarizationHelpfulnessResult struct {

	// Output only. Summarization Helpfulness score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for summarization helpfulness score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for summarization helpfulness score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for summarization helpfulness result.

func (*SummarizationHelpfulnessResult) Descriptor 

func (*SummarizationHelpfulnessResult) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationHelpfulnessResult.ProtoReflect.Descriptor instead.

func (*SummarizationHelpfulnessResult) GetConfidence 

func (x *SummarizationHelpfulnessResult) GetConfidence() float32

func (*SummarizationHelpfulnessResult) GetExplanation 

func (x *SummarizationHelpfulnessResult) GetExplanation() string

func (*SummarizationHelpfulnessResult) GetScore 

func (x *SummarizationHelpfulnessResult) GetScore() float32

func (*SummarizationHelpfulnessResult) ProtoMessage 

func (*SummarizationHelpfulnessResult) ProtoMessage()

func (*SummarizationHelpfulnessResult) ProtoReflect 

func (x *SummarizationHelpfulnessResult) ProtoReflect() protoreflect.Message

func (*SummarizationHelpfulnessResult) Reset 

func (x *SummarizationHelpfulnessResult) Reset()

func (*SummarizationHelpfulnessResult) String 

func (x *SummarizationHelpfulnessResult) String() string

type SummarizationHelpfulnessSpec 

type SummarizationHelpfulnessSpec struct {

	// Optional. Whether to use instance.reference to compute summarization
	// helpfulness.
	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for summarization helpfulness score metric.

func (*SummarizationHelpfulnessSpec) Descriptor 

func (*SummarizationHelpfulnessSpec) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationHelpfulnessSpec.ProtoReflect.Descriptor instead.

func (*SummarizationHelpfulnessSpec) GetUseReference 

func (x *SummarizationHelpfulnessSpec) GetUseReference() bool

func (*SummarizationHelpfulnessSpec) GetVersion 

func (x *SummarizationHelpfulnessSpec) GetVersion() int32

func (*SummarizationHelpfulnessSpec) ProtoMessage 

func (*SummarizationHelpfulnessSpec) ProtoMessage()

func (*SummarizationHelpfulnessSpec) ProtoReflect 

func (x *SummarizationHelpfulnessSpec) ProtoReflect() protoreflect.Message

func (*SummarizationHelpfulnessSpec) Reset 

func (x *SummarizationHelpfulnessSpec) Reset()

func (*SummarizationHelpfulnessSpec) String 

func (x *SummarizationHelpfulnessSpec) String() string

type SummarizationQualityInput 

type SummarizationQualityInput struct {

	// Required. Spec for summarization quality score metric.
	MetricSpec *SummarizationQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Summarization quality instance.
	Instance *SummarizationQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for summarization quality metric.

func (*SummarizationQualityInput) Descriptor 

func (*SummarizationQualityInput) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationQualityInput.ProtoReflect.Descriptor instead.

func (*SummarizationQualityInput) GetInstance 

func (x *SummarizationQualityInput) GetInstance() *SummarizationQualityInstance

func (*SummarizationQualityInput) GetMetricSpec 

func (x *SummarizationQualityInput) GetMetricSpec() *SummarizationQualitySpec

func (*SummarizationQualityInput) ProtoMessage 

func (*SummarizationQualityInput) ProtoMessage()

func (*SummarizationQualityInput) ProtoReflect 

func (x *SummarizationQualityInput) ProtoReflect() protoreflect.Message

func (*SummarizationQualityInput) Reset 

func (x *SummarizationQualityInput) Reset()

func (*SummarizationQualityInput) String 

func (x *SummarizationQualityInput) String() string

type SummarizationQualityInstance 

type SummarizationQualityInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Required. Text to be summarized.
	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// Required. Summarization prompt for LLM.
	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for summarization quality instance.

func (*SummarizationQualityInstance) Descriptor 

func (*SummarizationQualityInstance) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationQualityInstance.ProtoReflect.Descriptor instead.

func (*SummarizationQualityInstance) GetContext 

func (x *SummarizationQualityInstance) GetContext() string

func (*SummarizationQualityInstance) GetInstruction 

func (x *SummarizationQualityInstance) GetInstruction() string

func (*SummarizationQualityInstance) GetPrediction 

func (x *SummarizationQualityInstance) GetPrediction() string

func (*SummarizationQualityInstance) GetReference 

func (x *SummarizationQualityInstance) GetReference() string

func (*SummarizationQualityInstance) ProtoMessage 

func (*SummarizationQualityInstance) ProtoMessage()

func (*SummarizationQualityInstance) ProtoReflect 

func (x *SummarizationQualityInstance) ProtoReflect() protoreflect.Message

func (*SummarizationQualityInstance) Reset 

func (x *SummarizationQualityInstance) Reset()

func (*SummarizationQualityInstance) String 

func (x *SummarizationQualityInstance) String() string

type SummarizationQualityResult 

type SummarizationQualityResult struct {

	// Output only. Summarization Quality score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for summarization quality score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for summarization quality score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for summarization quality result.

func (*SummarizationQualityResult) Descriptor 

func (*SummarizationQualityResult) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationQualityResult.ProtoReflect.Descriptor instead.

func (*SummarizationQualityResult) GetConfidence 

func (x *SummarizationQualityResult) GetConfidence() float32

func (*SummarizationQualityResult) GetExplanation 

func (x *SummarizationQualityResult) GetExplanation() string

func (*SummarizationQualityResult) GetScore 

func (x *SummarizationQualityResult) GetScore() float32

func (*SummarizationQualityResult) ProtoMessage 

func (*SummarizationQualityResult) ProtoMessage()

func (*SummarizationQualityResult) ProtoReflect 

func (x *SummarizationQualityResult) ProtoReflect() protoreflect.Message

func (*SummarizationQualityResult) Reset 

func (x *SummarizationQualityResult) Reset()

func (*SummarizationQualityResult) String 

func (x *SummarizationQualityResult) String() string

type SummarizationQualitySpec 

type SummarizationQualitySpec struct {

	// Optional. Whether to use instance.reference to compute summarization
	// quality.
	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for summarization quality score metric.

func (*SummarizationQualitySpec) Descriptor 

func (*SummarizationQualitySpec) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationQualitySpec.ProtoReflect.Descriptor instead.

func (*SummarizationQualitySpec) GetUseReference 

func (x *SummarizationQualitySpec) GetUseReference() bool

func (*SummarizationQualitySpec) GetVersion 

func (x *SummarizationQualitySpec) GetVersion() int32

func (*SummarizationQualitySpec) ProtoMessage 

func (*SummarizationQualitySpec) ProtoMessage()

func (*SummarizationQualitySpec) ProtoReflect 

func (x *SummarizationQualitySpec) ProtoReflect() protoreflect.Message

func (*SummarizationQualitySpec) Reset 

func (x *SummarizationQualitySpec) Reset()

func (*SummarizationQualitySpec) String 

func (x *SummarizationQualitySpec) String() string

type SummarizationVerbosityInput 

type SummarizationVerbosityInput struct {

	// Required. Spec for summarization verbosity score metric.
	MetricSpec *SummarizationVerbositySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Summarization verbosity instance.
	Instance *SummarizationVerbosityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
	// contains filtered or unexported fields
}

Input for summarization verbosity metric.

func (*SummarizationVerbosityInput) Descriptor 

func (*SummarizationVerbosityInput) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationVerbosityInput.ProtoReflect.Descriptor instead.

func (*SummarizationVerbosityInput) GetInstance 

func (x *SummarizationVerbosityInput) GetInstance() *SummarizationVerbosityInstance

func (*SummarizationVerbosityInput) GetMetricSpec 

func (x *SummarizationVerbosityInput) GetMetricSpec() *SummarizationVerbositySpec

func (*SummarizationVerbosityInput) ProtoMessage 

func (*SummarizationVerbosityInput) ProtoMessage()

func (*SummarizationVerbosityInput) ProtoReflect 

func (x *SummarizationVerbosityInput) ProtoReflect() protoreflect.Message

func (*SummarizationVerbosityInput) Reset 

func (x *SummarizationVerbosityInput) Reset()

func (*SummarizationVerbosityInput) String 

func (x *SummarizationVerbosityInput) String() string

type SummarizationVerbosityInstance 

type SummarizationVerbosityInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Optional. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// Required. Text to be summarized.
	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
	// Optional. Summarization prompt for LLM.
	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
	// contains filtered or unexported fields
}

Spec for summarization verbosity instance.

func (*SummarizationVerbosityInstance) Descriptor 

func (*SummarizationVerbosityInstance) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationVerbosityInstance.ProtoReflect.Descriptor instead.

func (*SummarizationVerbosityInstance) GetContext 

func (x *SummarizationVerbosityInstance) GetContext() string

func (*SummarizationVerbosityInstance) GetInstruction 

func (x *SummarizationVerbosityInstance) GetInstruction() string

func (*SummarizationVerbosityInstance) GetPrediction 

func (x *SummarizationVerbosityInstance) GetPrediction() string

func (*SummarizationVerbosityInstance) GetReference 

func (x *SummarizationVerbosityInstance) GetReference() string

func (*SummarizationVerbosityInstance) ProtoMessage 

func (*SummarizationVerbosityInstance) ProtoMessage()

func (*SummarizationVerbosityInstance) ProtoReflect 

func (x *SummarizationVerbosityInstance) ProtoReflect() protoreflect.Message

func (*SummarizationVerbosityInstance) Reset 

func (x *SummarizationVerbosityInstance) Reset()

func (*SummarizationVerbosityInstance) String 

func (x *SummarizationVerbosityInstance) String() string

type SummarizationVerbosityResult 

type SummarizationVerbosityResult struct {

	// Output only. Summarization Verbosity score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// Output only. Explanation for summarization verbosity score.
	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// Output only. Confidence for summarization verbosity score.
	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
	// contains filtered or unexported fields
}

Spec for summarization verbosity result.

func (*SummarizationVerbosityResult) Descriptor 

func (*SummarizationVerbosityResult) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationVerbosityResult.ProtoReflect.Descriptor instead.

func (*SummarizationVerbosityResult) GetConfidence 

func (x *SummarizationVerbosityResult) GetConfidence() float32

func (*SummarizationVerbosityResult) GetExplanation 

func (x *SummarizationVerbosityResult) GetExplanation() string

func (*SummarizationVerbosityResult) GetScore 

func (x *SummarizationVerbosityResult) GetScore() float32

func (*SummarizationVerbosityResult) ProtoMessage 

func (*SummarizationVerbosityResult) ProtoMessage()

func (*SummarizationVerbosityResult) ProtoReflect 

func (x *SummarizationVerbosityResult) ProtoReflect() protoreflect.Message

func (*SummarizationVerbosityResult) Reset 

func (x *SummarizationVerbosityResult) Reset()

func (*SummarizationVerbosityResult) String 

func (x *SummarizationVerbosityResult) String() string

type SummarizationVerbositySpec 

type SummarizationVerbositySpec struct {

	// Optional. Whether to use instance.reference to compute summarization
	// verbosity.
	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
	// Optional. Which version to use for evaluation.
	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Spec for summarization verbosity score metric.

func (*SummarizationVerbositySpec) Descriptor 

func (*SummarizationVerbositySpec) Descriptor() ([]byte, []int)

Deprecated: Use SummarizationVerbositySpec.ProtoReflect.Descriptor instead.

func (*SummarizationVerbositySpec) GetUseReference 

func (x *SummarizationVerbositySpec) GetUseReference() bool

func (*SummarizationVerbositySpec) GetVersion 

func (x *SummarizationVerbositySpec) GetVersion() int32

func (*SummarizationVerbositySpec) ProtoMessage 

func (*SummarizationVerbositySpec) ProtoMessage()

func (*SummarizationVerbositySpec) ProtoReflect 

func (x *SummarizationVerbositySpec) ProtoReflect() protoreflect.Message

func (*SummarizationVerbositySpec) Reset 

func (x *SummarizationVerbositySpec) Reset()

func (*SummarizationVerbositySpec) String 

func (x *SummarizationVerbositySpec) String() string

type SupervisedHyperParameters 

type SupervisedHyperParameters struct {

	// Optional. Number of complete passes the model makes over the entire
	// training dataset during training.
	EpochCount int64 `protobuf:"varint,1,opt,name=epoch_count,json=epochCount,proto3" json:"epoch_count,omitempty"`
	// Optional. Multiplier for adjusting the default learning rate.
	LearningRateMultiplier float64 `protobuf:"fixed64,2,opt,name=learning_rate_multiplier,json=learningRateMultiplier,proto3" json:"learning_rate_multiplier,omitempty"`
	// Optional. Adapter size for tuning.
	AdapterSize SupervisedHyperParameters_AdapterSize `protobuf:"varint,3,opt,name=adapter_size,json=adapterSize,proto3,enum=google.cloud.aiplatform.v1.SupervisedHyperParameters_AdapterSize" json:"adapter_size,omitempty"`
	// contains filtered or unexported fields
}

Hyperparameters for SFT.

func (*SupervisedHyperParameters) Descriptor 

func (*SupervisedHyperParameters) Descriptor() ([]byte, []int)

Deprecated: Use SupervisedHyperParameters.ProtoReflect.Descriptor instead.

func (*SupervisedHyperParameters) GetAdapterSize 

func (x *SupervisedHyperParameters) GetAdapterSize() SupervisedHyperParameters_AdapterSize

func (*SupervisedHyperParameters) GetEpochCount 

func (x *SupervisedHyperParameters) GetEpochCount() int64

func (*SupervisedHyperParameters) GetLearningRateMultiplier 

func (x *SupervisedHyperParameters) GetLearningRateMultiplier() float64

func (*SupervisedHyperParameters) ProtoMessage 

func (*SupervisedHyperParameters) ProtoMessage()

func (*SupervisedHyperParameters) ProtoReflect 

func (x *SupervisedHyperParameters) ProtoReflect() protoreflect.Message

func (*SupervisedHyperParameters) Reset 

func (x *SupervisedHyperParameters) Reset()

func (*SupervisedHyperParameters) String 

func (x *SupervisedHyperParameters) String() string

type SupervisedHyperParameters_AdapterSize 

type SupervisedHyperParameters_AdapterSize int32

Supported adapter sizes for tuning. 

const (
	// Adapter size is unspecified.
	SupervisedHyperParameters_ADAPTER_SIZE_UNSPECIFIED SupervisedHyperParameters_AdapterSize = 0
	// Adapter size 1.
	SupervisedHyperParameters_ADAPTER_SIZE_ONE SupervisedHyperParameters_AdapterSize = 1
	// Adapter size 4.
	SupervisedHyperParameters_ADAPTER_SIZE_FOUR SupervisedHyperParameters_AdapterSize = 2
	// Adapter size 8.
	SupervisedHyperParameters_ADAPTER_SIZE_EIGHT SupervisedHyperParameters_AdapterSize = 3
	// Adapter size 16.
	SupervisedHyperParameters_ADAPTER_SIZE_SIXTEEN SupervisedHyperParameters_AdapterSize = 4
)

func (SupervisedHyperParameters_AdapterSize) Descriptor 

func (SupervisedHyperParameters_AdapterSize) Descriptor() protoreflect.EnumDescriptor

func (SupervisedHyperParameters_AdapterSize) Enum 

func (x SupervisedHyperParameters_AdapterSize) Enum() *SupervisedHyperParameters_AdapterSize

func (SupervisedHyperParameters_AdapterSize) EnumDescriptor 

func (SupervisedHyperParameters_AdapterSize) EnumDescriptor() ([]byte, []int)

Deprecated: Use SupervisedHyperParameters_AdapterSize.Descriptor instead.

func (SupervisedHyperParameters_AdapterSize) Number 

func (x SupervisedHyperParameters_AdapterSize) Number() protoreflect.EnumNumber

func (SupervisedHyperParameters_AdapterSize) String 

func (x SupervisedHyperParameters_AdapterSize) String() string

func (SupervisedHyperParameters_AdapterSize) Type 

func (SupervisedHyperParameters_AdapterSize) Type() protoreflect.EnumType

type SupervisedTuningDataStats 

type SupervisedTuningDataStats struct {

	// Output only. Number of examples in the tuning dataset.
	TuningDatasetExampleCount int64 `protobuf:"varint,1,opt,name=tuning_dataset_example_count,json=tuningDatasetExampleCount,proto3" json:"tuning_dataset_example_count,omitempty"`
	// Output only. Number of tuning characters in the tuning dataset.
	TotalTuningCharacterCount int64 `protobuf:"varint,2,opt,name=total_tuning_character_count,json=totalTuningCharacterCount,proto3" json:"total_tuning_character_count,omitempty"`
	// Output only. Number of billable characters in the tuning dataset.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/tuning_job.proto.
	TotalBillableCharacterCount int64 `protobuf:"varint,3,opt,name=total_billable_character_count,json=totalBillableCharacterCount,proto3" json:"total_billable_character_count,omitempty"`
	// Output only. Number of billable tokens in the tuning dataset.
	TotalBillableTokenCount int64 `protobuf:"varint,9,opt,name=total_billable_token_count,json=totalBillableTokenCount,proto3" json:"total_billable_token_count,omitempty"`
	// Output only. Number of tuning steps for this Tuning Job.
	TuningStepCount int64 `protobuf:"varint,4,opt,name=tuning_step_count,json=tuningStepCount,proto3" json:"tuning_step_count,omitempty"`
	// Output only. Dataset distributions for the user input tokens.
	UserInputTokenDistribution *SupervisedTuningDatasetDistribution `protobuf:"bytes,5,opt,name=user_input_token_distribution,json=userInputTokenDistribution,proto3" json:"user_input_token_distribution,omitempty"`
	// Output only. Dataset distributions for the user output tokens.
	UserOutputTokenDistribution *SupervisedTuningDatasetDistribution `protobuf:"bytes,6,opt,name=user_output_token_distribution,json=userOutputTokenDistribution,proto3" json:"user_output_token_distribution,omitempty"`
	// Output only. Dataset distributions for the messages per example.
	UserMessagePerExampleDistribution *SupervisedTuningDatasetDistribution `protobuf:"bytes,7,opt,name=user_message_per_example_distribution,json=userMessagePerExampleDistribution,proto3" json:"user_message_per_example_distribution,omitempty"`
	// Output only. Sample user messages in the training dataset uri.
	UserDatasetExamples []*Content `protobuf:"bytes,8,rep,name=user_dataset_examples,json=userDatasetExamples,proto3" json:"user_dataset_examples,omitempty"`
	// The number of examples in the dataset that have been truncated by any
	// amount.
	TotalTruncatedExampleCount int64 `protobuf:"varint,10,opt,name=total_truncated_example_count,json=totalTruncatedExampleCount,proto3" json:"total_truncated_example_count,omitempty"`
	// A partial sample of the indices (starting from 1) of the truncated
	// examples.
	TruncatedExampleIndices []int64 `protobuf:"varint,11,rep,packed,name=truncated_example_indices,json=truncatedExampleIndices,proto3" json:"truncated_example_indices,omitempty"`
	// contains filtered or unexported fields
}

Tuning data statistics for Supervised Tuning.

func (*SupervisedTuningDataStats) Descriptor 

func (*SupervisedTuningDataStats) Descriptor() ([]byte, []int)

Deprecated: Use SupervisedTuningDataStats.ProtoReflect.Descriptor instead.

func (*SupervisedTuningDataStats) GetTotalBillableCharacterCount 

func (x *SupervisedTuningDataStats) GetTotalBillableCharacterCount() int64

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/tuning_job.proto.

func (*SupervisedTuningDataStats) GetTotalBillableTokenCount 

func (x *SupervisedTuningDataStats) GetTotalBillableTokenCount() int64

func (*SupervisedTuningDataStats) GetTotalTruncatedExampleCount 

func (x *SupervisedTuningDataStats) GetTotalTruncatedExampleCount() int64

func (*SupervisedTuningDataStats) GetTotalTuningCharacterCount 

func (x *SupervisedTuningDataStats) GetTotalTuningCharacterCount() int64

func (*SupervisedTuningDataStats) GetTruncatedExampleIndices 

func (x *SupervisedTuningDataStats) GetTruncatedExampleIndices() []int64

func (*SupervisedTuningDataStats) GetTuningDatasetExampleCount 

func (x *SupervisedTuningDataStats) GetTuningDatasetExampleCount() int64

func (*SupervisedTuningDataStats) GetTuningStepCount 

func (x *SupervisedTuningDataStats) GetTuningStepCount() int64

func (*SupervisedTuningDataStats) GetUserDatasetExamples 

func (x *SupervisedTuningDataStats) GetUserDatasetExamples() []*Content

func (*SupervisedTuningDataStats) GetUserInputTokenDistribution 

func (x *SupervisedTuningDataStats) GetUserInputTokenDistribution() *SupervisedTuningDatasetDistribution

func (*SupervisedTuningDataStats) GetUserMessagePerExampleDistribution 

func (x *SupervisedTuningDataStats) GetUserMessagePerExampleDistribution() *SupervisedTuningDatasetDistribution

func (*SupervisedTuningDataStats) GetUserOutputTokenDistribution 

func (x *SupervisedTuningDataStats) GetUserOutputTokenDistribution() *SupervisedTuningDatasetDistribution

func (*SupervisedTuningDataStats) ProtoMessage 

func (*SupervisedTuningDataStats) ProtoMessage()

func (*SupervisedTuningDataStats) ProtoReflect 

func (x *SupervisedTuningDataStats) ProtoReflect() protoreflect.Message

func (*SupervisedTuningDataStats) Reset 

func (x *SupervisedTuningDataStats) Reset()

func (*SupervisedTuningDataStats) String 

func (x *SupervisedTuningDataStats) String() string

type SupervisedTuningDatasetDistribution 

type SupervisedTuningDatasetDistribution struct {

	// Output only. Sum of a given population of values.
	Sum int64 `protobuf:"varint,1,opt,name=sum,proto3" json:"sum,omitempty"`
	// Output only. Sum of a given population of values that are billable.
	BillableSum int64 `protobuf:"varint,9,opt,name=billable_sum,json=billableSum,proto3" json:"billable_sum,omitempty"`
	// Output only. The minimum of the population values.
	Min float64 `protobuf:"fixed64,2,opt,name=min,proto3" json:"min,omitempty"`
	// Output only. The maximum of the population values.
	Max float64 `protobuf:"fixed64,3,opt,name=max,proto3" json:"max,omitempty"`
	// Output only. The arithmetic mean of the values in the population.
	Mean float64 `protobuf:"fixed64,4,opt,name=mean,proto3" json:"mean,omitempty"`
	// Output only. The median of the values in the population.
	Median float64 `protobuf:"fixed64,5,opt,name=median,proto3" json:"median,omitempty"`
	// Output only. The 5th percentile of the values in the population.
	P5 float64 `protobuf:"fixed64,6,opt,name=p5,proto3" json:"p5,omitempty"`
	// Output only. The 95th percentile of the values in the population.
	P95 float64 `protobuf:"fixed64,7,opt,name=p95,proto3" json:"p95,omitempty"`
	// Output only. Defines the histogram bucket.
	Buckets []*SupervisedTuningDatasetDistribution_DatasetBucket `protobuf:"bytes,8,rep,name=buckets,proto3" json:"buckets,omitempty"`
	// contains filtered or unexported fields
}

Dataset distribution for Supervised Tuning.

func (*SupervisedTuningDatasetDistribution) Descriptor 

func (*SupervisedTuningDatasetDistribution) Descriptor() ([]byte, []int)

Deprecated: Use SupervisedTuningDatasetDistribution.ProtoReflect.Descriptor instead.

func (*SupervisedTuningDatasetDistribution) GetBillableSum 

func (x *SupervisedTuningDatasetDistribution) GetBillableSum() int64

func (*SupervisedTuningDatasetDistribution) GetBuckets 

func (x *SupervisedTuningDatasetDistribution) GetBuckets() []*SupervisedTuningDatasetDistribution_DatasetBucket

func (*SupervisedTuningDatasetDistribution) GetMax 

func (x *SupervisedTuningDatasetDistribution) GetMax() float64

func (*SupervisedTuningDatasetDistribution) GetMean 

func (x *SupervisedTuningDatasetDistribution) GetMean() float64

func (*SupervisedTuningDatasetDistribution) GetMedian 

func (x *SupervisedTuningDatasetDistribution) GetMedian() float64

func (*SupervisedTuningDatasetDistribution) GetMin 

func (x *SupervisedTuningDatasetDistribution) GetMin() float64

func (*SupervisedTuningDatasetDistribution) GetP5 

func (x *SupervisedTuningDatasetDistribution) GetP5() float64

func (*SupervisedTuningDatasetDistribution) GetP95 

func (x *SupervisedTuningDatasetDistribution) GetP95() float64

func (*SupervisedTuningDatasetDistribution) GetSum 

func (x *SupervisedTuningDatasetDistribution) GetSum() int64

func (*SupervisedTuningDatasetDistribution) ProtoMessage 

func (*SupervisedTuningDatasetDistribution) ProtoMessage()

func (*SupervisedTuningDatasetDistribution) ProtoReflect 

func (x *SupervisedTuningDatasetDistribution) ProtoReflect() protoreflect.Message

func (*SupervisedTuningDatasetDistribution) Reset 

func (x *SupervisedTuningDatasetDistribution) Reset()

func (*SupervisedTuningDatasetDistribution) String 

func (x *SupervisedTuningDatasetDistribution) String() string

type SupervisedTuningDatasetDistribution_DatasetBucket 

type SupervisedTuningDatasetDistribution_DatasetBucket struct {

	// Output only. Number of values in the bucket.
	Count float64 `protobuf:"fixed64,1,opt,name=count,proto3" json:"count,omitempty"`
	// Output only. Left bound of the bucket.
	Left float64 `protobuf:"fixed64,2,opt,name=left,proto3" json:"left,omitempty"`
	// Output only. Right bound of the bucket.
	Right float64 `protobuf:"fixed64,3,opt,name=right,proto3" json:"right,omitempty"`
	// contains filtered or unexported fields
}

Dataset bucket used to create a histogram for the distribution given a population of values.

func (*SupervisedTuningDatasetDistribution_DatasetBucket) Descriptor 

func (*SupervisedTuningDatasetDistribution_DatasetBucket) Descriptor() ([]byte, []int)

Deprecated: Use SupervisedTuningDatasetDistribution_DatasetBucket.ProtoReflect.Descriptor instead.

func (*SupervisedTuningDatasetDistribution_DatasetBucket) GetCount 

func (x *SupervisedTuningDatasetDistribution_DatasetBucket) GetCount() float64

func (*SupervisedTuningDatasetDistribution_DatasetBucket) GetLeft 

func (x *SupervisedTuningDatasetDistribution_DatasetBucket) GetLeft() float64

func (*SupervisedTuningDatasetDistribution_DatasetBucket) GetRight 

func (x *SupervisedTuningDatasetDistribution_DatasetBucket) GetRight() float64

func (*SupervisedTuningDatasetDistribution_DatasetBucket) ProtoMessage 

func (*SupervisedTuningDatasetDistribution_DatasetBucket) ProtoMessage()

func (*SupervisedTuningDatasetDistribution_DatasetBucket) ProtoReflect 

func (x *SupervisedTuningDatasetDistribution_DatasetBucket) ProtoReflect() protoreflect.Message

func (*SupervisedTuningDatasetDistribution_DatasetBucket) Reset 

func (x *SupervisedTuningDatasetDistribution_DatasetBucket) Reset()

func (*SupervisedTuningDatasetDistribution_DatasetBucket) String 

func (x *SupervisedTuningDatasetDistribution_DatasetBucket) String() string

type SupervisedTuningSpec 

type SupervisedTuningSpec struct {

	// Required. Cloud Storage path to file containing training dataset for
	// tuning. The dataset must be formatted as a JSONL file.
	TrainingDatasetUri string `protobuf:"bytes,1,opt,name=training_dataset_uri,json=trainingDatasetUri,proto3" json:"training_dataset_uri,omitempty"`
	// Optional. Cloud Storage path to file containing validation dataset for
	// tuning. The dataset must be formatted as a JSONL file.
	ValidationDatasetUri string `protobuf:"bytes,2,opt,name=validation_dataset_uri,json=validationDatasetUri,proto3" json:"validation_dataset_uri,omitempty"`
	// Optional. Hyperparameters for SFT.
	HyperParameters *SupervisedHyperParameters `protobuf:"bytes,3,opt,name=hyper_parameters,json=hyperParameters,proto3" json:"hyper_parameters,omitempty"`
	// contains filtered or unexported fields
}

Tuning Spec for Supervised Tuning for first party models.

func (*SupervisedTuningSpec) Descriptor 

func (*SupervisedTuningSpec) Descriptor() ([]byte, []int)

Deprecated: Use SupervisedTuningSpec.ProtoReflect.Descriptor instead.

func (*SupervisedTuningSpec) GetHyperParameters 

func (x *SupervisedTuningSpec) GetHyperParameters() *SupervisedHyperParameters

func (*SupervisedTuningSpec) GetTrainingDatasetUri 

func (x *SupervisedTuningSpec) GetTrainingDatasetUri() string

func (*SupervisedTuningSpec) GetValidationDatasetUri 

func (x *SupervisedTuningSpec) GetValidationDatasetUri() string

func (*SupervisedTuningSpec) ProtoMessage 

func (*SupervisedTuningSpec) ProtoMessage()

func (*SupervisedTuningSpec) ProtoReflect 

func (x *SupervisedTuningSpec) ProtoReflect() protoreflect.Message

func (*SupervisedTuningSpec) Reset 

func (x *SupervisedTuningSpec) Reset()

func (*SupervisedTuningSpec) String 

func (x *SupervisedTuningSpec) String() string

type SyncFeatureViewRequest 

type SyncFeatureViewRequest struct {

	// Required. Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
	FeatureView string `protobuf:"bytes,1,opt,name=feature_view,json=featureView,proto3" json:"feature_view,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView].

func (*SyncFeatureViewRequest) Descriptor 

func (*SyncFeatureViewRequest) Descriptor() ([]byte, []int)

Deprecated: Use SyncFeatureViewRequest.ProtoReflect.Descriptor instead.

func (*SyncFeatureViewRequest) GetFeatureView 

func (x *SyncFeatureViewRequest) GetFeatureView() string

func (*SyncFeatureViewRequest) ProtoMessage 

func (*SyncFeatureViewRequest) ProtoMessage()

func (*SyncFeatureViewRequest) ProtoReflect 

func (x *SyncFeatureViewRequest) ProtoReflect() protoreflect.Message

func (*SyncFeatureViewRequest) Reset 

func (x *SyncFeatureViewRequest) Reset()

func (*SyncFeatureViewRequest) String 

func (x *SyncFeatureViewRequest) String() string

type SyncFeatureViewResponse 

type SyncFeatureViewResponse struct {

	// Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/{feature_view_sync}`
	FeatureViewSync string `protobuf:"bytes,1,opt,name=feature_view_sync,json=featureViewSync,proto3" json:"feature_view_sync,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView].

func (*SyncFeatureViewResponse) Descriptor 

func (*SyncFeatureViewResponse) Descriptor() ([]byte, []int)

Deprecated: Use SyncFeatureViewResponse.ProtoReflect.Descriptor instead.

func (*SyncFeatureViewResponse) GetFeatureViewSync 

func (x *SyncFeatureViewResponse) GetFeatureViewSync() string

func (*SyncFeatureViewResponse) ProtoMessage 

func (*SyncFeatureViewResponse) ProtoMessage()

func (*SyncFeatureViewResponse) ProtoReflect 

func (x *SyncFeatureViewResponse) ProtoReflect() protoreflect.Message

func (*SyncFeatureViewResponse) Reset 

func (x *SyncFeatureViewResponse) Reset()

func (*SyncFeatureViewResponse) String 

func (x *SyncFeatureViewResponse) String() string

type TFRecordDestination 

type TFRecordDestination struct {

	// Required. Google Cloud Storage location.
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3" json:"gcs_destination,omitempty"`
	// contains filtered or unexported fields
}

The storage details for TFRecord output content.

func (*TFRecordDestination) Descriptor 

func (*TFRecordDestination) Descriptor() ([]byte, []int)

Deprecated: Use TFRecordDestination.ProtoReflect.Descriptor instead.

func (*TFRecordDestination) GetGcsDestination 

func (x *TFRecordDestination) GetGcsDestination() *GcsDestination

func (*TFRecordDestination) ProtoMessage 

func (*TFRecordDestination) ProtoMessage()

func (*TFRecordDestination) ProtoReflect 

func (x *TFRecordDestination) ProtoReflect() protoreflect.Message

func (*TFRecordDestination) Reset 

func (x *TFRecordDestination) Reset()

func (*TFRecordDestination) String 

func (x *TFRecordDestination) String() string

type Tensor 

type Tensor struct {

	// The data type of tensor.
	Dtype Tensor_DataType `protobuf:"varint,1,opt,name=dtype,proto3,enum=google.cloud.aiplatform.v1.Tensor_DataType" json:"dtype,omitempty"`
	// Shape of the tensor.
	Shape []int64 `protobuf:"varint,2,rep,packed,name=shape,proto3" json:"shape,omitempty"`
	// Type specific representations that make it easy to create tensor protos in
	// all languages.  Only the representation corresponding to "dtype" can
	// be set.  The values hold the flattened representation of the tensor in
	// row major order.
	//
	// [BOOL][google.cloud.aiplatform.v1.Tensor.DataType.BOOL]
	BoolVal []bool `protobuf:"varint,3,rep,packed,name=bool_val,json=boolVal,proto3" json:"bool_val,omitempty"`
	// [STRING][google.cloud.aiplatform.v1.Tensor.DataType.STRING]
	StringVal []string `protobuf:"bytes,14,rep,name=string_val,json=stringVal,proto3" json:"string_val,omitempty"`
	// [STRING][google.cloud.aiplatform.v1.Tensor.DataType.STRING]
	BytesVal [][]byte `protobuf:"bytes,15,rep,name=bytes_val,json=bytesVal,proto3" json:"bytes_val,omitempty"`
	// [FLOAT][google.cloud.aiplatform.v1.Tensor.DataType.FLOAT]
	FloatVal []float32 `protobuf:"fixed32,5,rep,packed,name=float_val,json=floatVal,proto3" json:"float_val,omitempty"`
	// [DOUBLE][google.cloud.aiplatform.v1.Tensor.DataType.DOUBLE]
	DoubleVal []float64 `protobuf:"fixed64,6,rep,packed,name=double_val,json=doubleVal,proto3" json:"double_val,omitempty"`
	// [INT_8][google.cloud.aiplatform.v1.Tensor.DataType.INT8]
	// [INT_16][google.cloud.aiplatform.v1.Tensor.DataType.INT16]
	// [INT_32][google.cloud.aiplatform.v1.Tensor.DataType.INT32]
	IntVal []int32 `protobuf:"varint,7,rep,packed,name=int_val,json=intVal,proto3" json:"int_val,omitempty"`
	// [INT64][google.cloud.aiplatform.v1.Tensor.DataType.INT64]
	Int64Val []int64 `protobuf:"varint,8,rep,packed,name=int64_val,json=int64Val,proto3" json:"int64_val,omitempty"`
	// [UINT8][google.cloud.aiplatform.v1.Tensor.DataType.UINT8]
	// [UINT16][google.cloud.aiplatform.v1.Tensor.DataType.UINT16]
	// [UINT32][google.cloud.aiplatform.v1.Tensor.DataType.UINT32]
	UintVal []uint32 `protobuf:"varint,9,rep,packed,name=uint_val,json=uintVal,proto3" json:"uint_val,omitempty"`
	// [UINT64][google.cloud.aiplatform.v1.Tensor.DataType.UINT64]
	Uint64Val []uint64 `protobuf:"varint,10,rep,packed,name=uint64_val,json=uint64Val,proto3" json:"uint64_val,omitempty"`
	// A list of tensor values.
	ListVal []*Tensor `protobuf:"bytes,11,rep,name=list_val,json=listVal,proto3" json:"list_val,omitempty"`
	// A map of string to tensor.
	StructVal map[string]*Tensor `protobuf:"bytes,12,rep,name=struct_val,json=structVal,proto3" json:"struct_val,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Serialized raw tensor content.
	TensorVal []byte `protobuf:"bytes,13,opt,name=tensor_val,json=tensorVal,proto3" json:"tensor_val,omitempty"`
	// contains filtered or unexported fields
}

A tensor value type.

func (*Tensor) Descriptor 

func (*Tensor) Descriptor() ([]byte, []int)

Deprecated: Use Tensor.ProtoReflect.Descriptor instead.

func (*Tensor) GetBoolVal 

func (x *Tensor) GetBoolVal() []bool

func (*Tensor) GetBytesVal 

func (x *Tensor) GetBytesVal() [][]byte

func (*Tensor) GetDoubleVal 

func (x *Tensor) GetDoubleVal() []float64

func (*Tensor) GetDtype 

func (x *Tensor) GetDtype() Tensor_DataType

func (*Tensor) GetFloatVal 

func (x *Tensor) GetFloatVal() []float32

func (*Tensor) GetInt64Val 

func (x *Tensor) GetInt64Val() []int64

func (*Tensor) GetIntVal 

func (x *Tensor) GetIntVal() []int32

func (*Tensor) GetListVal 

func (x *Tensor) GetListVal() []*Tensor

func (*Tensor) GetShape 

func (x *Tensor) GetShape() []int64

func (*Tensor) GetStringVal 

func (x *Tensor) GetStringVal() []string

func (*Tensor) GetStructVal 

func (x *Tensor) GetStructVal() map[string]*Tensor

func (*Tensor) GetTensorVal 

func (x *Tensor) GetTensorVal() []byte

func (*Tensor) GetUint64Val 

func (x *Tensor) GetUint64Val() []uint64

func (*Tensor) GetUintVal 

func (x *Tensor) GetUintVal() []uint32

func (*Tensor) ProtoMessage 

func (*Tensor) ProtoMessage()

func (*Tensor) ProtoReflect 

func (x *Tensor) ProtoReflect() protoreflect.Message

func (*Tensor) Reset 

func (x *Tensor) Reset()

func (*Tensor) String 

func (x *Tensor) String() string

type Tensor_DataType 

type Tensor_DataType int32

Data type of the tensor. 

const (
	// Not a legal value for DataType. Used to indicate a DataType field has not
	// been set.
	Tensor_DATA_TYPE_UNSPECIFIED Tensor_DataType = 0
	// Data types that all computation devices are expected to be
	// capable to support.
	Tensor_BOOL   Tensor_DataType = 1
	Tensor_STRING Tensor_DataType = 2
	Tensor_FLOAT  Tensor_DataType = 3
	Tensor_DOUBLE Tensor_DataType = 4
	Tensor_INT8   Tensor_DataType = 5
	Tensor_INT16  Tensor_DataType = 6
	Tensor_INT32  Tensor_DataType = 7
	Tensor_INT64  Tensor_DataType = 8
	Tensor_UINT8  Tensor_DataType = 9
	Tensor_UINT16 Tensor_DataType = 10
	Tensor_UINT32 Tensor_DataType = 11
	Tensor_UINT64 Tensor_DataType = 12
)

func (Tensor_DataType) Descriptor 

func (Tensor_DataType) Descriptor() protoreflect.EnumDescriptor

func (Tensor_DataType) Enum 

func (x Tensor_DataType) Enum() *Tensor_DataType

func (Tensor_DataType) EnumDescriptor 

func (Tensor_DataType) EnumDescriptor() ([]byte, []int)

Deprecated: Use Tensor_DataType.Descriptor instead.

func (Tensor_DataType) Number 

func (x Tensor_DataType) Number() protoreflect.EnumNumber

func (Tensor_DataType) String 

func (x Tensor_DataType) String() string

func (Tensor_DataType) Type 

func (Tensor_DataType) Type() protoreflect.EnumType

type Tensorboard 

type Tensorboard struct {

	// Output only. Name of the Tensorboard.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. User provided name of this Tensorboard.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Description of this Tensorboard.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Customer-managed encryption key spec for a Tensorboard. If set, this
	// Tensorboard and all sub-resources of this Tensorboard will be secured by
	// this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,11,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. Consumer project Cloud Storage path prefix used to store blob
	// data, which can either be a bucket or directory. Does not end with a '/'.
	BlobStoragePathPrefix string `protobuf:"bytes,10,opt,name=blob_storage_path_prefix,json=blobStoragePathPrefix,proto3" json:"blob_storage_path_prefix,omitempty"`
	// Output only. The number of Runs stored in this Tensorboard.
	RunCount int32 `protobuf:"varint,5,opt,name=run_count,json=runCount,proto3" json:"run_count,omitempty"`
	// Output only. Timestamp when this Tensorboard was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Tensorboard was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize your Tensorboards.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Tensorboard
	// (System labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `protobuf:"bytes,8,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
	// Used to indicate if the TensorBoard instance is the default one.
	// Each project & region can have at most one default TensorBoard instance.
	// Creation of a default TensorBoard instance and updating an existing
	// TensorBoard instance to be default will mark all other TensorBoard
	// instances (if any) as non default.
	IsDefault bool `protobuf:"varint,12,opt,name=is_default,json=isDefault,proto3" json:"is_default,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,13,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,14,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
	// contains filtered or unexported fields
}

Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a Google Cloud project. If needed users can also create extra Tensorboards in their projects.

func (*Tensorboard) Descriptor 

func (*Tensorboard) Descriptor() ([]byte, []int)

Deprecated: Use Tensorboard.ProtoReflect.Descriptor instead.

func (*Tensorboard) GetBlobStoragePathPrefix 

func (x *Tensorboard) GetBlobStoragePathPrefix() string

func (*Tensorboard) GetCreateTime 

func (x *Tensorboard) GetCreateTime() *timestamppb.Timestamp

func (*Tensorboard) GetDescription 

func (x *Tensorboard) GetDescription() string

func (*Tensorboard) GetDisplayName 

func (x *Tensorboard) GetDisplayName() string

func (*Tensorboard) GetEncryptionSpec 

func (x *Tensorboard) GetEncryptionSpec() *EncryptionSpec

func (*Tensorboard) GetEtag 

func (x *Tensorboard) GetEtag() string

func (*Tensorboard) GetIsDefault 

func (x *Tensorboard) GetIsDefault() bool

func (*Tensorboard) GetLabels 

func (x *Tensorboard) GetLabels() map[string]string

func (*Tensorboard) GetName 

func (x *Tensorboard) GetName() string

func (*Tensorboard) GetRunCount 

func (x *Tensorboard) GetRunCount() int32

func (*Tensorboard) GetSatisfiesPzi 

func (x *Tensorboard) GetSatisfiesPzi() bool

func (*Tensorboard) GetSatisfiesPzs 

func (x *Tensorboard) GetSatisfiesPzs() bool

func (*Tensorboard) GetUpdateTime 

func (x *Tensorboard) GetUpdateTime() *timestamppb.Timestamp

func (*Tensorboard) ProtoMessage 

func (*Tensorboard) ProtoMessage()

func (*Tensorboard) ProtoReflect 

func (x *Tensorboard) ProtoReflect() protoreflect.Message

func (*Tensorboard) Reset 

func (x *Tensorboard) Reset()

func (*Tensorboard) String 

func (x *Tensorboard) String() string

type TensorboardBlob 

type TensorboardBlob struct {

	// Output only. A URI safe key uniquely identifying a blob. Can be used to
	// locate the blob stored in the Cloud Storage bucket of the consumer project.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Optional. The bytes of the blob is not present unless it's returned by the
	// ReadTensorboardBlobData endpoint.
	Data []byte `protobuf:"bytes,2,opt,name=data,proto3" json:"data,omitempty"`
	// contains filtered or unexported fields
}

One blob (e.g, image, graph) viewable on a blob metric plot.

func (*TensorboardBlob) Descriptor 

func (*TensorboardBlob) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardBlob.ProtoReflect.Descriptor instead.

func (*TensorboardBlob) GetData 

func (x *TensorboardBlob) GetData() []byte

func (*TensorboardBlob) GetId 

func (x *TensorboardBlob) GetId() string

func (*TensorboardBlob) ProtoMessage 

func (*TensorboardBlob) ProtoMessage()

func (*TensorboardBlob) ProtoReflect 

func (x *TensorboardBlob) ProtoReflect() protoreflect.Message

func (*TensorboardBlob) Reset 

func (x *TensorboardBlob) Reset()

func (*TensorboardBlob) String 

func (x *TensorboardBlob) String() string

type TensorboardBlobSequence 

type TensorboardBlobSequence struct {

	// List of blobs contained within the sequence.
	Values []*TensorboardBlob `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

One point viewable on a blob metric plot, but mostly just a wrapper message to work around repeated fields can't be used directly within `oneof` fields.

func (*TensorboardBlobSequence) Descriptor 

func (*TensorboardBlobSequence) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardBlobSequence.ProtoReflect.Descriptor instead.

func (*TensorboardBlobSequence) GetValues 

func (x *TensorboardBlobSequence) GetValues() []*TensorboardBlob

func (*TensorboardBlobSequence) ProtoMessage 

func (*TensorboardBlobSequence) ProtoMessage()

func (*TensorboardBlobSequence) ProtoReflect 

func (x *TensorboardBlobSequence) ProtoReflect() protoreflect.Message

func (*TensorboardBlobSequence) Reset 

func (x *TensorboardBlobSequence) Reset()

func (*TensorboardBlobSequence) String 

func (x *TensorboardBlobSequence) String() string

type TensorboardExperiment 

type TensorboardExperiment struct {

	// Output only. Name of the TensorboardExperiment.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// User provided name of this TensorboardExperiment.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Description of this TensorboardExperiment.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Timestamp when this TensorboardExperiment was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this TensorboardExperiment was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize your
	// TensorboardExperiment.
	//
	// Label keys and values cannot be longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Dataset (System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with `aiplatform.googleapis.com/`
	// and are immutable. The following system labels exist for each Dataset:
	//
	//   - `aiplatform.googleapis.com/dataset_metadata_schema`: output only. Its
	//     value is the
	//     [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
	//     title.
	Labels map[string]string `protobuf:"bytes,6,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// Immutable. Source of the TensorboardExperiment. Example: a custom training
	// job.
	Source string `protobuf:"bytes,8,opt,name=source,proto3" json:"source,omitempty"`
	// contains filtered or unexported fields
}

A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.

func (*TensorboardExperiment) Descriptor 

func (*TensorboardExperiment) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardExperiment.ProtoReflect.Descriptor instead.

func (*TensorboardExperiment) GetCreateTime 

func (x *TensorboardExperiment) GetCreateTime() *timestamppb.Timestamp

func (*TensorboardExperiment) GetDescription 

func (x *TensorboardExperiment) GetDescription() string

func (*TensorboardExperiment) GetDisplayName 

func (x *TensorboardExperiment) GetDisplayName() string

func (*TensorboardExperiment) GetEtag 

func (x *TensorboardExperiment) GetEtag() string

func (*TensorboardExperiment) GetLabels 

func (x *TensorboardExperiment) GetLabels() map[string]string

func (*TensorboardExperiment) GetName 

func (x *TensorboardExperiment) GetName() string

func (*TensorboardExperiment) GetSource 

func (x *TensorboardExperiment) GetSource() string

func (*TensorboardExperiment) GetUpdateTime 

func (x *TensorboardExperiment) GetUpdateTime() *timestamppb.Timestamp

func (*TensorboardExperiment) ProtoMessage 

func (*TensorboardExperiment) ProtoMessage()

func (*TensorboardExperiment) ProtoReflect 

func (x *TensorboardExperiment) ProtoReflect() protoreflect.Message

func (*TensorboardExperiment) Reset 

func (x *TensorboardExperiment) Reset()

func (*TensorboardExperiment) String 

func (x *TensorboardExperiment) String() string

type TensorboardRun 

type TensorboardRun struct {

	// Output only. Name of the TensorboardRun.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. User provided name of this TensorboardRun.
	// This value must be unique among all TensorboardRuns
	// belonging to the same parent TensorboardExperiment.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Description of this TensorboardRun.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Timestamp when this TensorboardRun was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this TensorboardRun was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize your TensorboardRuns.
	//
	// This field will be used to filter and visualize Runs in the Tensorboard UI.
	// For example, a Vertex AI training job can set a label
	// aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created
	// within that job. An end user can set a label experiment_id=xxxxx for all
	// the runs produced in a Jupyter notebook. These runs can be grouped by a
	// label value and visualized together in the Tensorboard UI.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one TensorboardRun
	// (System labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `protobuf:"bytes,8,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc

func (*TensorboardRun) Descriptor 

func (*TensorboardRun) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardRun.ProtoReflect.Descriptor instead.

func (*TensorboardRun) GetCreateTime 

func (x *TensorboardRun) GetCreateTime() *timestamppb.Timestamp

func (*TensorboardRun) GetDescription 

func (x *TensorboardRun) GetDescription() string

func (*TensorboardRun) GetDisplayName 

func (x *TensorboardRun) GetDisplayName() string

func (*TensorboardRun) GetEtag 

func (x *TensorboardRun) GetEtag() string

func (*TensorboardRun) GetLabels 

func (x *TensorboardRun) GetLabels() map[string]string

func (*TensorboardRun) GetName 

func (x *TensorboardRun) GetName() string

func (*TensorboardRun) GetUpdateTime 

func (x *TensorboardRun) GetUpdateTime() *timestamppb.Timestamp

func (*TensorboardRun) ProtoMessage 

func (*TensorboardRun) ProtoMessage()

func (*TensorboardRun) ProtoReflect 

func (x *TensorboardRun) ProtoReflect() protoreflect.Message

func (*TensorboardRun) Reset 

func (x *TensorboardRun) Reset()

func (*TensorboardRun) String 

func (x *TensorboardRun) String() string

type TensorboardServiceClient 

type TensorboardServiceClient interface {
	// Creates a Tensorboard.
	CreateTensorboard(ctx context.Context, in *CreateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Tensorboard.
	GetTensorboard(ctx context.Context, in *GetTensorboardRequest, opts ...grpc.CallOption) (*Tensorboard, error)
	// Updates a Tensorboard.
	UpdateTensorboard(ctx context.Context, in *UpdateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Lists Tensorboards in a Location.
	ListTensorboards(ctx context.Context, in *ListTensorboardsRequest, opts ...grpc.CallOption) (*ListTensorboardsResponse, error)
	// Deletes a Tensorboard.
	DeleteTensorboard(ctx context.Context, in *DeleteTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Returns a list of monthly active users for a given TensorBoard instance.
	ReadTensorboardUsage(ctx context.Context, in *ReadTensorboardUsageRequest, opts ...grpc.CallOption) (*ReadTensorboardUsageResponse, error)
	// Returns the storage size for a given TensorBoard instance.
	ReadTensorboardSize(ctx context.Context, in *ReadTensorboardSizeRequest, opts ...grpc.CallOption) (*ReadTensorboardSizeResponse, error)
	// Creates a TensorboardExperiment.
	CreateTensorboardExperiment(ctx context.Context, in *CreateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
	// Gets a TensorboardExperiment.
	GetTensorboardExperiment(ctx context.Context, in *GetTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
	// Updates a TensorboardExperiment.
	UpdateTensorboardExperiment(ctx context.Context, in *UpdateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
	// Lists TensorboardExperiments in a Location.
	ListTensorboardExperiments(ctx context.Context, in *ListTensorboardExperimentsRequest, opts ...grpc.CallOption) (*ListTensorboardExperimentsResponse, error)
	// Deletes a TensorboardExperiment.
	DeleteTensorboardExperiment(ctx context.Context, in *DeleteTensorboardExperimentRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a TensorboardRun.
	CreateTensorboardRun(ctx context.Context, in *CreateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
	// Batch create TensorboardRuns.
	BatchCreateTensorboardRuns(ctx context.Context, in *BatchCreateTensorboardRunsRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardRunsResponse, error)
	// Gets a TensorboardRun.
	GetTensorboardRun(ctx context.Context, in *GetTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
	// Updates a TensorboardRun.
	UpdateTensorboardRun(ctx context.Context, in *UpdateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
	// Lists TensorboardRuns in a Location.
	ListTensorboardRuns(ctx context.Context, in *ListTensorboardRunsRequest, opts ...grpc.CallOption) (*ListTensorboardRunsResponse, error)
	// Deletes a TensorboardRun.
	DeleteTensorboardRun(ctx context.Context, in *DeleteTensorboardRunRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
	BatchCreateTensorboardTimeSeries(ctx context.Context, in *BatchCreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardTimeSeriesResponse, error)
	// Creates a TensorboardTimeSeries.
	CreateTensorboardTimeSeries(ctx context.Context, in *CreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
	// Gets a TensorboardTimeSeries.
	GetTensorboardTimeSeries(ctx context.Context, in *GetTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
	// Updates a TensorboardTimeSeries.
	UpdateTensorboardTimeSeries(ctx context.Context, in *UpdateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
	// Lists TensorboardTimeSeries in a Location.
	ListTensorboardTimeSeries(ctx context.Context, in *ListTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*ListTensorboardTimeSeriesResponse, error)
	// Deletes a TensorboardTimeSeries.
	DeleteTensorboardTimeSeries(ctx context.Context, in *DeleteTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Reads multiple TensorboardTimeSeries' data. The data point number limit is
	// 1000 for scalars, 100 for tensors and blob references. If the number of
	// data points stored is less than the limit, all data is returned.
	// Otherwise, the number limit of data points is randomly selected from
	// this time series and returned.
	BatchReadTensorboardTimeSeriesData(ctx context.Context, in *BatchReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*BatchReadTensorboardTimeSeriesDataResponse, error)
	// Reads a TensorboardTimeSeries' data. By default, if the number of data
	// points stored is less than 1000, all data is returned. Otherwise, 1000
	// data points is randomly selected from this time series and returned.
	// This value can be changed by changing max_data_points, which can't be
	// greater than 10k.
	ReadTensorboardTimeSeriesData(ctx context.Context, in *ReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ReadTensorboardTimeSeriesDataResponse, error)
	// Gets bytes of TensorboardBlobs.
	// This is to allow reading blob data stored in consumer project's Cloud
	// Storage bucket without users having to obtain Cloud Storage access
	// permission.
	ReadTensorboardBlobData(ctx context.Context, in *ReadTensorboardBlobDataRequest, opts ...grpc.CallOption) (TensorboardService_ReadTensorboardBlobDataClient, error)
	// Write time series data points of multiple TensorboardTimeSeries in multiple
	// TensorboardRun's. If any data fail to be ingested, an error is returned.
	WriteTensorboardExperimentData(ctx context.Context, in *WriteTensorboardExperimentDataRequest, opts ...grpc.CallOption) (*WriteTensorboardExperimentDataResponse, error)
	// Write time series data points into multiple TensorboardTimeSeries under
	// a TensorboardRun. If any data fail to be ingested, an error is returned.
	WriteTensorboardRunData(ctx context.Context, in *WriteTensorboardRunDataRequest, opts ...grpc.CallOption) (*WriteTensorboardRunDataResponse, error)
	// Exports a TensorboardTimeSeries' data. Data is returned in paginated
	// responses.
	ExportTensorboardTimeSeriesData(ctx context.Context, in *ExportTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ExportTensorboardTimeSeriesDataResponse, error)
}

TensorboardServiceClient is the client API for TensorboardService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewTensorboardServiceClient 

func NewTensorboardServiceClient(cc grpc.ClientConnInterface) TensorboardServiceClient

type TensorboardServiceServer 

type TensorboardServiceServer interface {
	// Creates a Tensorboard.
	CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunningpb.Operation, error)
	// Gets a Tensorboard.
	GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error)
	// Updates a Tensorboard.
	UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunningpb.Operation, error)
	// Lists Tensorboards in a Location.
	ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error)
	// Deletes a Tensorboard.
	DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunningpb.Operation, error)
	// Returns a list of monthly active users for a given TensorBoard instance.
	ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error)
	// Returns the storage size for a given TensorBoard instance.
	ReadTensorboardSize(context.Context, *ReadTensorboardSizeRequest) (*ReadTensorboardSizeResponse, error)
	// Creates a TensorboardExperiment.
	CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error)
	// Gets a TensorboardExperiment.
	GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error)
	// Updates a TensorboardExperiment.
	UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error)
	// Lists TensorboardExperiments in a Location.
	ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error)
	// Deletes a TensorboardExperiment.
	DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunningpb.Operation, error)
	// Creates a TensorboardRun.
	CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error)
	// Batch create TensorboardRuns.
	BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error)
	// Gets a TensorboardRun.
	GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error)
	// Updates a TensorboardRun.
	UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error)
	// Lists TensorboardRuns in a Location.
	ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error)
	// Deletes a TensorboardRun.
	DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunningpb.Operation, error)
	// Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
	BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error)
	// Creates a TensorboardTimeSeries.
	CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
	// Gets a TensorboardTimeSeries.
	GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
	// Updates a TensorboardTimeSeries.
	UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
	// Lists TensorboardTimeSeries in a Location.
	ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error)
	// Deletes a TensorboardTimeSeries.
	DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunningpb.Operation, error)
	// Reads multiple TensorboardTimeSeries' data. The data point number limit is
	// 1000 for scalars, 100 for tensors and blob references. If the number of
	// data points stored is less than the limit, all data is returned.
	// Otherwise, the number limit of data points is randomly selected from
	// this time series and returned.
	BatchReadTensorboardTimeSeriesData(context.Context, *BatchReadTensorboardTimeSeriesDataRequest) (*BatchReadTensorboardTimeSeriesDataResponse, error)
	// Reads a TensorboardTimeSeries' data. By default, if the number of data
	// points stored is less than 1000, all data is returned. Otherwise, 1000
	// data points is randomly selected from this time series and returned.
	// This value can be changed by changing max_data_points, which can't be
	// greater than 10k.
	ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error)
	// Gets bytes of TensorboardBlobs.
	// This is to allow reading blob data stored in consumer project's Cloud
	// Storage bucket without users having to obtain Cloud Storage access
	// permission.
	ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error
	// Write time series data points of multiple TensorboardTimeSeries in multiple
	// TensorboardRun's. If any data fail to be ingested, an error is returned.
	WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error)
	// Write time series data points into multiple TensorboardTimeSeries under
	// a TensorboardRun. If any data fail to be ingested, an error is returned.
	WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error)
	// Exports a TensorboardTimeSeries' data. Data is returned in paginated
	// responses.
	ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error)
}

TensorboardServiceServer is the server API for TensorboardService service.

type TensorboardService_ReadTensorboardBlobDataClient 

type TensorboardService_ReadTensorboardBlobDataClient interface {
	Recv() (*ReadTensorboardBlobDataResponse, error)
	grpc.ClientStream
}

type TensorboardService_ReadTensorboardBlobDataServer 

type TensorboardService_ReadTensorboardBlobDataServer interface {
	Send(*ReadTensorboardBlobDataResponse) error
	grpc.ServerStream
}

type TensorboardTensor 

type TensorboardTensor struct {

	// Required. Serialized form of
	// https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/tensor.proto
	Value []byte `protobuf:"bytes,1,opt,name=value,proto3" json:"value,omitempty"`
	// Optional. Version number of TensorProto used to serialize
	// [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
	VersionNumber int32 `protobuf:"varint,2,opt,name=version_number,json=versionNumber,proto3" json:"version_number,omitempty"`
	// contains filtered or unexported fields
}

One point viewable on a tensor metric plot.

func (*TensorboardTensor) Descriptor 

func (*TensorboardTensor) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardTensor.ProtoReflect.Descriptor instead.

func (*TensorboardTensor) GetValue 

func (x *TensorboardTensor) GetValue() []byte

func (*TensorboardTensor) GetVersionNumber 

func (x *TensorboardTensor) GetVersionNumber() int32

func (*TensorboardTensor) ProtoMessage 

func (*TensorboardTensor) ProtoMessage()

func (*TensorboardTensor) ProtoReflect 

func (x *TensorboardTensor) ProtoReflect() protoreflect.Message

func (*TensorboardTensor) Reset 

func (x *TensorboardTensor) Reset()

func (*TensorboardTensor) String 

func (x *TensorboardTensor) String() string

type TensorboardTimeSeries 

type TensorboardTimeSeries struct {

	// Output only. Name of the TensorboardTimeSeries.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. User provided name of this TensorboardTimeSeries.
	// This value should be unique among all TensorboardTimeSeries resources
	// belonging to the same TensorboardRun resource (parent resource).
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Description of this TensorboardTimeSeries.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Required. Immutable. Type of TensorboardTimeSeries value.
	ValueType TensorboardTimeSeries_ValueType `protobuf:"varint,4,opt,name=value_type,json=valueType,proto3,enum=google.cloud.aiplatform.v1.TensorboardTimeSeries_ValueType" json:"value_type,omitempty"`
	// Output only. Timestamp when this TensorboardTimeSeries was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this TensorboardTimeSeries was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// Immutable. Name of the plugin this time series pertain to. Such as Scalar,
	// Tensor, Blob
	PluginName string `protobuf:"bytes,8,opt,name=plugin_name,json=pluginName,proto3" json:"plugin_name,omitempty"`
	// Data of the current plugin, with the size limited to 65KB.
	PluginData []byte `protobuf:"bytes,9,opt,name=plugin_data,json=pluginData,proto3" json:"plugin_data,omitempty"`
	// Output only. Scalar, Tensor, or Blob metadata for this
	// TensorboardTimeSeries.
	Metadata *TensorboardTimeSeries_Metadata `protobuf:"bytes,10,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

TensorboardTimeSeries maps to times series produced in training runs

func (*TensorboardTimeSeries) Descriptor 

func (*TensorboardTimeSeries) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardTimeSeries.ProtoReflect.Descriptor instead.

func (*TensorboardTimeSeries) GetCreateTime 

func (x *TensorboardTimeSeries) GetCreateTime() *timestamppb.Timestamp

func (*TensorboardTimeSeries) GetDescription 

func (x *TensorboardTimeSeries) GetDescription() string

func (*TensorboardTimeSeries) GetDisplayName 

func (x *TensorboardTimeSeries) GetDisplayName() string

func (*TensorboardTimeSeries) GetEtag 

func (x *TensorboardTimeSeries) GetEtag() string

func (*TensorboardTimeSeries) GetMetadata 

func (x *TensorboardTimeSeries) GetMetadata() *TensorboardTimeSeries_Metadata

func (*TensorboardTimeSeries) GetName 

func (x *TensorboardTimeSeries) GetName() string

func (*TensorboardTimeSeries) GetPluginData 

func (x *TensorboardTimeSeries) GetPluginData() []byte

func (*TensorboardTimeSeries) GetPluginName 

func (x *TensorboardTimeSeries) GetPluginName() string

func (*TensorboardTimeSeries) GetUpdateTime 

func (x *TensorboardTimeSeries) GetUpdateTime() *timestamppb.Timestamp

func (*TensorboardTimeSeries) GetValueType 

func (x *TensorboardTimeSeries) GetValueType() TensorboardTimeSeries_ValueType

func (*TensorboardTimeSeries) ProtoMessage 

func (*TensorboardTimeSeries) ProtoMessage()

func (*TensorboardTimeSeries) ProtoReflect 

func (x *TensorboardTimeSeries) ProtoReflect() protoreflect.Message

func (*TensorboardTimeSeries) Reset 

func (x *TensorboardTimeSeries) Reset()

func (*TensorboardTimeSeries) String 

func (x *TensorboardTimeSeries) String() string

type TensorboardTimeSeries_Metadata 

type TensorboardTimeSeries_Metadata struct {

	// Output only. Max step index of all data points within a
	// TensorboardTimeSeries.
	MaxStep int64 `protobuf:"varint,1,opt,name=max_step,json=maxStep,proto3" json:"max_step,omitempty"`
	// Output only. Max wall clock timestamp of all data points within a
	// TensorboardTimeSeries.
	MaxWallTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=max_wall_time,json=maxWallTime,proto3" json:"max_wall_time,omitempty"`
	// Output only. The largest blob sequence length (number of blobs) of all
	// data points in this time series, if its ValueType is BLOB_SEQUENCE.
	MaxBlobSequenceLength int64 `protobuf:"varint,3,opt,name=max_blob_sequence_length,json=maxBlobSequenceLength,proto3" json:"max_blob_sequence_length,omitempty"`
	// contains filtered or unexported fields
}

Describes metadata for a TensorboardTimeSeries.

func (*TensorboardTimeSeries_Metadata) Descriptor 

func (*TensorboardTimeSeries_Metadata) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardTimeSeries_Metadata.ProtoReflect.Descriptor instead.

func (*TensorboardTimeSeries_Metadata) GetMaxBlobSequenceLength 

func (x *TensorboardTimeSeries_Metadata) GetMaxBlobSequenceLength() int64

func (*TensorboardTimeSeries_Metadata) GetMaxStep 

func (x *TensorboardTimeSeries_Metadata) GetMaxStep() int64

func (*TensorboardTimeSeries_Metadata) GetMaxWallTime 

func (x *TensorboardTimeSeries_Metadata) GetMaxWallTime() *timestamppb.Timestamp

func (*TensorboardTimeSeries_Metadata) ProtoMessage 

func (*TensorboardTimeSeries_Metadata) ProtoMessage()

func (*TensorboardTimeSeries_Metadata) ProtoReflect 

func (x *TensorboardTimeSeries_Metadata) ProtoReflect() protoreflect.Message

func (*TensorboardTimeSeries_Metadata) Reset 

func (x *TensorboardTimeSeries_Metadata) Reset()

func (*TensorboardTimeSeries_Metadata) String 

func (x *TensorboardTimeSeries_Metadata) String() string

type TensorboardTimeSeries_ValueType 

type TensorboardTimeSeries_ValueType int32

An enum representing the value type of a TensorboardTimeSeries. 

const (
	// The value type is unspecified.
	TensorboardTimeSeries_VALUE_TYPE_UNSPECIFIED TensorboardTimeSeries_ValueType = 0
	// Used for TensorboardTimeSeries that is a list of scalars.
	// E.g. accuracy of a model over epochs/time.
	TensorboardTimeSeries_SCALAR TensorboardTimeSeries_ValueType = 1
	// Used for TensorboardTimeSeries that is a list of tensors.
	// E.g. histograms of weights of layer in a model over epoch/time.
	TensorboardTimeSeries_TENSOR TensorboardTimeSeries_ValueType = 2
	// Used for TensorboardTimeSeries that is a list of blob sequences.
	// E.g. set of sample images with labels over epochs/time.
	TensorboardTimeSeries_BLOB_SEQUENCE TensorboardTimeSeries_ValueType = 3
)

func (TensorboardTimeSeries_ValueType) Descriptor 

func (TensorboardTimeSeries_ValueType) Descriptor() protoreflect.EnumDescriptor

func (TensorboardTimeSeries_ValueType) Enum 

func (x TensorboardTimeSeries_ValueType) Enum() *TensorboardTimeSeries_ValueType

func (TensorboardTimeSeries_ValueType) EnumDescriptor 

func (TensorboardTimeSeries_ValueType) EnumDescriptor() ([]byte, []int)

Deprecated: Use TensorboardTimeSeries_ValueType.Descriptor instead.

func (TensorboardTimeSeries_ValueType) Number 

func (x TensorboardTimeSeries_ValueType) Number() protoreflect.EnumNumber

func (TensorboardTimeSeries_ValueType) String 

func (x TensorboardTimeSeries_ValueType) String() string

func (TensorboardTimeSeries_ValueType) Type 

func (TensorboardTimeSeries_ValueType) Type() protoreflect.EnumType

type ThresholdConfig 

type ThresholdConfig struct {

	// Types that are assignable to Threshold:
	//
	//	*ThresholdConfig_Value
	Threshold isThresholdConfig_Threshold `protobuf_oneof:"threshold"`
	// contains filtered or unexported fields
}

The config for feature monitoring threshold.

func (*ThresholdConfig) Descriptor 

func (*ThresholdConfig) Descriptor() ([]byte, []int)

Deprecated: Use ThresholdConfig.ProtoReflect.Descriptor instead.

func (*ThresholdConfig) GetThreshold 

func (m *ThresholdConfig) GetThreshold() isThresholdConfig_Threshold

func (*ThresholdConfig) GetValue 

func (x *ThresholdConfig) GetValue() float64

func (*ThresholdConfig) ProtoMessage 

func (*ThresholdConfig) ProtoMessage()

func (*ThresholdConfig) ProtoReflect 

func (x *ThresholdConfig) ProtoReflect() protoreflect.Message

func (*ThresholdConfig) Reset 

func (x *ThresholdConfig) Reset()

func (*ThresholdConfig) String 

func (x *ThresholdConfig) String() string

type ThresholdConfig_Value 

type ThresholdConfig_Value struct {
	// Specify a threshold value that can trigger the alert.
	// If this threshold config is for feature distribution distance:
	//  1. For categorical feature, the distribution distance is calculated by
	//     L-inifinity norm.
	//  2. For numerical feature, the distribution distance is calculated by
	//     Jensen–Shannon divergence.
	//
	// Each feature must have a non-zero threshold if they need to be monitored.
	// Otherwise no alert will be triggered for that feature.
	Value float64 `protobuf:"fixed64,1,opt,name=value,proto3,oneof"`
}

type TimeSeriesData 

type TimeSeriesData struct {

	// Required. The ID of the TensorboardTimeSeries, which will become the final
	// component of the TensorboardTimeSeries' resource name
	TensorboardTimeSeriesId string `protobuf:"bytes,1,opt,name=tensorboard_time_series_id,json=tensorboardTimeSeriesId,proto3" json:"tensorboard_time_series_id,omitempty"`
	// Required. Immutable. The value type of this time series. All the values in
	// this time series data must match this value type.
	ValueType TensorboardTimeSeries_ValueType `protobuf:"varint,2,opt,name=value_type,json=valueType,proto3,enum=google.cloud.aiplatform.v1.TensorboardTimeSeries_ValueType" json:"value_type,omitempty"`
	// Required. Data points in this time series.
	Values []*TimeSeriesDataPoint `protobuf:"bytes,3,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

All the data stored in a TensorboardTimeSeries.

func (*TimeSeriesData) Descriptor 

func (*TimeSeriesData) Descriptor() ([]byte, []int)

Deprecated: Use TimeSeriesData.ProtoReflect.Descriptor instead.

func (*TimeSeriesData) GetTensorboardTimeSeriesId 

func (x *TimeSeriesData) GetTensorboardTimeSeriesId() string

func (*TimeSeriesData) GetValueType 

func (x *TimeSeriesData) GetValueType() TensorboardTimeSeries_ValueType

func (*TimeSeriesData) GetValues 

func (x *TimeSeriesData) GetValues() []*TimeSeriesDataPoint

func (*TimeSeriesData) ProtoMessage 

func (*TimeSeriesData) ProtoMessage()

func (*TimeSeriesData) ProtoReflect 

func (x *TimeSeriesData) ProtoReflect() protoreflect.Message

func (*TimeSeriesData) Reset 

func (x *TimeSeriesData) Reset()

func (*TimeSeriesData) String 

func (x *TimeSeriesData) String() string

type TimeSeriesDataPoint 

type TimeSeriesDataPoint struct {

	// Value of this time series data point.
	//
	// Types that are assignable to Value:
	//
	//	*TimeSeriesDataPoint_Scalar
	//	*TimeSeriesDataPoint_Tensor
	//	*TimeSeriesDataPoint_Blobs
	Value isTimeSeriesDataPoint_Value `protobuf_oneof:"value"`
	// Wall clock timestamp when this data point is generated by the end user.
	WallTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=wall_time,json=wallTime,proto3" json:"wall_time,omitempty"`
	// Step index of this data point within the run.
	Step int64 `protobuf:"varint,2,opt,name=step,proto3" json:"step,omitempty"`
	// contains filtered or unexported fields
}

A TensorboardTimeSeries data point.

func (*TimeSeriesDataPoint) Descriptor 

func (*TimeSeriesDataPoint) Descriptor() ([]byte, []int)

Deprecated: Use TimeSeriesDataPoint.ProtoReflect.Descriptor instead.

func (*TimeSeriesDataPoint) GetBlobs 

func (x *TimeSeriesDataPoint) GetBlobs() *TensorboardBlobSequence

func (*TimeSeriesDataPoint) GetScalar 

func (x *TimeSeriesDataPoint) GetScalar() *Scalar

func (*TimeSeriesDataPoint) GetStep 

func (x *TimeSeriesDataPoint) GetStep() int64

func (*TimeSeriesDataPoint) GetTensor 

func (x *TimeSeriesDataPoint) GetTensor() *TensorboardTensor

func (*TimeSeriesDataPoint) GetValue 

func (m *TimeSeriesDataPoint) GetValue() isTimeSeriesDataPoint_Value

func (*TimeSeriesDataPoint) GetWallTime 

func (x *TimeSeriesDataPoint) GetWallTime() *timestamppb.Timestamp

func (*TimeSeriesDataPoint) ProtoMessage 

func (*TimeSeriesDataPoint) ProtoMessage()

func (*TimeSeriesDataPoint) ProtoReflect 

func (x *TimeSeriesDataPoint) ProtoReflect() protoreflect.Message

func (*TimeSeriesDataPoint) Reset 

func (x *TimeSeriesDataPoint) Reset()

func (*TimeSeriesDataPoint) String 

func (x *TimeSeriesDataPoint) String() string

type TimeSeriesDataPoint_Blobs 

type TimeSeriesDataPoint_Blobs struct {
	// A blob sequence value.
	Blobs *TensorboardBlobSequence `protobuf:"bytes,5,opt,name=blobs,proto3,oneof"`
}

type TimeSeriesDataPoint_Scalar 

type TimeSeriesDataPoint_Scalar struct {
	// A scalar value.
	Scalar *Scalar `protobuf:"bytes,3,opt,name=scalar,proto3,oneof"`
}

type TimeSeriesDataPoint_Tensor 

type TimeSeriesDataPoint_Tensor struct {
	// A tensor value.
	Tensor *TensorboardTensor `protobuf:"bytes,4,opt,name=tensor,proto3,oneof"`
}

type TimestampSplit 

type TimestampSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// Required. The key is a name of one of the Dataset's data columns.
	// The values of the key (the values in the column) must be in RFC 3339
	// `date-time` format, where `time-offset` = `"Z"`
	// (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
	// present or has an invalid value, that piece is ignored by the pipeline.
	Key string `protobuf:"bytes,4,opt,name=key,proto3" json:"key,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set.

Supported only for tabular Datasets.

func (*TimestampSplit) Descriptor 

func (*TimestampSplit) Descriptor() ([]byte, []int)

Deprecated: Use TimestampSplit.ProtoReflect.Descriptor instead.

func (*TimestampSplit) GetKey 

func (x *TimestampSplit) GetKey() string

func (*TimestampSplit) GetTestFraction 

func (x *TimestampSplit) GetTestFraction() float64

func (*TimestampSplit) GetTrainingFraction 

func (x *TimestampSplit) GetTrainingFraction() float64

func (*TimestampSplit) GetValidationFraction 

func (x *TimestampSplit) GetValidationFraction() float64

func (*TimestampSplit) ProtoMessage 

func (*TimestampSplit) ProtoMessage()

func (*TimestampSplit) ProtoReflect 

func (x *TimestampSplit) ProtoReflect() protoreflect.Message

func (*TimestampSplit) Reset 

func (x *TimestampSplit) Reset()

func (*TimestampSplit) String 

func (x *TimestampSplit) String() string

type TokensInfo 

type TokensInfo struct {

	// A list of tokens from the input.
	Tokens [][]byte `protobuf:"bytes,1,rep,name=tokens,proto3" json:"tokens,omitempty"`
	// A list of token ids from the input.
	TokenIds []int64 `protobuf:"varint,2,rep,packed,name=token_ids,json=tokenIds,proto3" json:"token_ids,omitempty"`
	// Optional. Optional fields for the role from the corresponding Content.
	Role string `protobuf:"bytes,3,opt,name=role,proto3" json:"role,omitempty"`
	// contains filtered or unexported fields
}

Tokens info with a list of tokens and the corresponding list of token ids.

func (*TokensInfo) Descriptor 

func (*TokensInfo) Descriptor() ([]byte, []int)

Deprecated: Use TokensInfo.ProtoReflect.Descriptor instead.

func (*TokensInfo) GetRole 

func (x *TokensInfo) GetRole() string

func (*TokensInfo) GetTokenIds 

func (x *TokensInfo) GetTokenIds() []int64

func (*TokensInfo) GetTokens 

func (x *TokensInfo) GetTokens() [][]byte

func (*TokensInfo) ProtoMessage 

func (*TokensInfo) ProtoMessage()

func (*TokensInfo) ProtoReflect 

func (x *TokensInfo) ProtoReflect() protoreflect.Message

func (*TokensInfo) Reset 

func (x *TokensInfo) Reset()

func (*TokensInfo) String 

func (x *TokensInfo) String() string

type Tool 

type Tool struct {

	// Optional. Function tool type.
	// One or more function declarations to be passed to the model along with the
	// current user query. Model may decide to call a subset of these functions
	// by populating [FunctionCall][content.part.function_call] in the response.
	// User should provide a [FunctionResponse][content.part.function_response]
	// for each function call in the next turn. Based on the function responses,
	// Model will generate the final response back to the user.
	// Maximum 128 function declarations can be provided.
	FunctionDeclarations []*FunctionDeclaration `protobuf:"bytes,1,rep,name=function_declarations,json=functionDeclarations,proto3" json:"function_declarations,omitempty"`
	// Optional. Retrieval tool type.
	// System will always execute the provided retrieval tool(s) to get external
	// knowledge to answer the prompt. Retrieval results are presented to the
	// model for generation.
	Retrieval *Retrieval `protobuf:"bytes,2,opt,name=retrieval,proto3" json:"retrieval,omitempty"`
	// Optional. GoogleSearchRetrieval tool type.
	// Specialized retrieval tool that is powered by Google search.
	GoogleSearchRetrieval *GoogleSearchRetrieval `protobuf:"bytes,3,opt,name=google_search_retrieval,json=googleSearchRetrieval,proto3" json:"google_search_retrieval,omitempty"`
	// Optional. CodeExecution tool type.
	// Enables the model to execute code as part of generation.
	// This field is only used by the Gemini Developer API services.
	CodeExecution *Tool_CodeExecution `protobuf:"bytes,4,opt,name=code_execution,json=codeExecution,proto3" json:"code_execution,omitempty"`
	// contains filtered or unexported fields
}

Tool details that the model may use to generate response.

A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).

func (*Tool) Descriptor 

func (*Tool) Descriptor() ([]byte, []int)

Deprecated: Use Tool.ProtoReflect.Descriptor instead.

func (*Tool) GetCodeExecution 

func (x *Tool) GetCodeExecution() *Tool_CodeExecution

func (*Tool) GetFunctionDeclarations 

func (x *Tool) GetFunctionDeclarations() []*FunctionDeclaration

func (*Tool) GetGoogleSearchRetrieval 

func (x *Tool) GetGoogleSearchRetrieval() *GoogleSearchRetrieval

func (*Tool) GetRetrieval 

func (x *Tool) GetRetrieval() *Retrieval

func (*Tool) ProtoMessage 

func (*Tool) ProtoMessage()

func (*Tool) ProtoReflect 

func (x *Tool) ProtoReflect() protoreflect.Message

func (*Tool) Reset 

func (x *Tool) Reset()

func (*Tool) String 

func (x *Tool) String() string

type ToolCallValidInput 

type ToolCallValidInput struct {

	// Required. Spec for tool call valid metric.
	MetricSpec *ToolCallValidSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Repeated tool call valid instances.
	Instances []*ToolCallValidInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// contains filtered or unexported fields
}

Input for tool call valid metric.

func (*ToolCallValidInput) Descriptor 

func (*ToolCallValidInput) Descriptor() ([]byte, []int)

Deprecated: Use ToolCallValidInput.ProtoReflect.Descriptor instead.

func (*ToolCallValidInput) GetInstances 

func (x *ToolCallValidInput) GetInstances() []*ToolCallValidInstance

func (*ToolCallValidInput) GetMetricSpec 

func (x *ToolCallValidInput) GetMetricSpec() *ToolCallValidSpec

func (*ToolCallValidInput) ProtoMessage 

func (*ToolCallValidInput) ProtoMessage()

func (*ToolCallValidInput) ProtoReflect 

func (x *ToolCallValidInput) ProtoReflect() protoreflect.Message

func (*ToolCallValidInput) Reset 

func (x *ToolCallValidInput) Reset()

func (*ToolCallValidInput) String 

func (x *ToolCallValidInput) String() string

type ToolCallValidInstance 

type ToolCallValidInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// contains filtered or unexported fields
}

Spec for tool call valid instance.

func (*ToolCallValidInstance) Descriptor 

func (*ToolCallValidInstance) Descriptor() ([]byte, []int)

Deprecated: Use ToolCallValidInstance.ProtoReflect.Descriptor instead.

func (*ToolCallValidInstance) GetPrediction 

func (x *ToolCallValidInstance) GetPrediction() string

func (*ToolCallValidInstance) GetReference 

func (x *ToolCallValidInstance) GetReference() string

func (*ToolCallValidInstance) ProtoMessage 

func (*ToolCallValidInstance) ProtoMessage()

func (*ToolCallValidInstance) ProtoReflect 

func (x *ToolCallValidInstance) ProtoReflect() protoreflect.Message

func (*ToolCallValidInstance) Reset 

func (x *ToolCallValidInstance) Reset()

func (*ToolCallValidInstance) String 

func (x *ToolCallValidInstance) String() string

type ToolCallValidMetricValue 

type ToolCallValidMetricValue struct {

	// Output only. Tool call valid score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Tool call valid metric value for an instance.

func (*ToolCallValidMetricValue) Descriptor 

func (*ToolCallValidMetricValue) Descriptor() ([]byte, []int)

Deprecated: Use ToolCallValidMetricValue.ProtoReflect.Descriptor instead.

func (*ToolCallValidMetricValue) GetScore 

func (x *ToolCallValidMetricValue) GetScore() float32

func (*ToolCallValidMetricValue) ProtoMessage 

func (*ToolCallValidMetricValue) ProtoMessage()

func (*ToolCallValidMetricValue) ProtoReflect 

func (x *ToolCallValidMetricValue) ProtoReflect() protoreflect.Message

func (*ToolCallValidMetricValue) Reset 

func (x *ToolCallValidMetricValue) Reset()

func (*ToolCallValidMetricValue) String 

func (x *ToolCallValidMetricValue) String() string

type ToolCallValidResults 

type ToolCallValidResults struct {

	// Output only. Tool call valid metric values.
	ToolCallValidMetricValues []*ToolCallValidMetricValue `protobuf:"bytes,1,rep,name=tool_call_valid_metric_values,json=toolCallValidMetricValues,proto3" json:"tool_call_valid_metric_values,omitempty"`
	// contains filtered or unexported fields
}

Results for tool call valid metric.

func (*ToolCallValidResults) Descriptor 

func (*ToolCallValidResults) Descriptor() ([]byte, []int)

Deprecated: Use ToolCallValidResults.ProtoReflect.Descriptor instead.

func (*ToolCallValidResults) GetToolCallValidMetricValues 

func (x *ToolCallValidResults) GetToolCallValidMetricValues() []*ToolCallValidMetricValue

func (*ToolCallValidResults) ProtoMessage 

func (*ToolCallValidResults) ProtoMessage()

func (*ToolCallValidResults) ProtoReflect 

func (x *ToolCallValidResults) ProtoReflect() protoreflect.Message

func (*ToolCallValidResults) Reset 

func (x *ToolCallValidResults) Reset()

func (*ToolCallValidResults) String 

func (x *ToolCallValidResults) String() string

type ToolCallValidSpec 

type ToolCallValidSpec struct {
	// contains filtered or unexported fields
}

Spec for tool call valid metric.

func (*ToolCallValidSpec) Descriptor 

func (*ToolCallValidSpec) Descriptor() ([]byte, []int)

Deprecated: Use ToolCallValidSpec.ProtoReflect.Descriptor instead.

func (*ToolCallValidSpec) ProtoMessage 

func (*ToolCallValidSpec) ProtoMessage()

func (*ToolCallValidSpec) ProtoReflect 

func (x *ToolCallValidSpec) ProtoReflect() protoreflect.Message

func (*ToolCallValidSpec) Reset 

func (x *ToolCallValidSpec) Reset()

func (*ToolCallValidSpec) String 

func (x *ToolCallValidSpec) String() string

type ToolConfig 

type ToolConfig struct {

	// Optional. Function calling config.
	FunctionCallingConfig *FunctionCallingConfig `protobuf:"bytes,1,opt,name=function_calling_config,json=functionCallingConfig,proto3" json:"function_calling_config,omitempty"`
	// Optional. Retrieval config.
	RetrievalConfig *RetrievalConfig `protobuf:"bytes,2,opt,name=retrieval_config,json=retrievalConfig,proto3" json:"retrieval_config,omitempty"`
	// contains filtered or unexported fields
}

Tool config. This config is shared for all tools provided in the request.

func (*ToolConfig) Descriptor 

func (*ToolConfig) Descriptor() ([]byte, []int)

Deprecated: Use ToolConfig.ProtoReflect.Descriptor instead.

func (*ToolConfig) GetFunctionCallingConfig 

func (x *ToolConfig) GetFunctionCallingConfig() *FunctionCallingConfig

func (*ToolConfig) GetRetrievalConfig 

func (x *ToolConfig) GetRetrievalConfig() *RetrievalConfig

func (*ToolConfig) ProtoMessage 

func (*ToolConfig) ProtoMessage()

func (*ToolConfig) ProtoReflect 

func (x *ToolConfig) ProtoReflect() protoreflect.Message

func (*ToolConfig) Reset 

func (x *ToolConfig) Reset()

func (*ToolConfig) String 

func (x *ToolConfig) String() string

type ToolNameMatchInput 

type ToolNameMatchInput struct {

	// Required. Spec for tool name match metric.
	MetricSpec *ToolNameMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Repeated tool name match instances.
	Instances []*ToolNameMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// contains filtered or unexported fields
}

Input for tool name match metric.

func (*ToolNameMatchInput) Descriptor 

func (*ToolNameMatchInput) Descriptor() ([]byte, []int)

Deprecated: Use ToolNameMatchInput.ProtoReflect.Descriptor instead.

func (*ToolNameMatchInput) GetInstances 

func (x *ToolNameMatchInput) GetInstances() []*ToolNameMatchInstance

func (*ToolNameMatchInput) GetMetricSpec 

func (x *ToolNameMatchInput) GetMetricSpec() *ToolNameMatchSpec

func (*ToolNameMatchInput) ProtoMessage 

func (*ToolNameMatchInput) ProtoMessage()

func (*ToolNameMatchInput) ProtoReflect 

func (x *ToolNameMatchInput) ProtoReflect() protoreflect.Message

func (*ToolNameMatchInput) Reset 

func (x *ToolNameMatchInput) Reset()

func (*ToolNameMatchInput) String 

func (x *ToolNameMatchInput) String() string

type ToolNameMatchInstance 

type ToolNameMatchInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// contains filtered or unexported fields
}

Spec for tool name match instance.

func (*ToolNameMatchInstance) Descriptor 

func (*ToolNameMatchInstance) Descriptor() ([]byte, []int)

Deprecated: Use ToolNameMatchInstance.ProtoReflect.Descriptor instead.

func (*ToolNameMatchInstance) GetPrediction 

func (x *ToolNameMatchInstance) GetPrediction() string

func (*ToolNameMatchInstance) GetReference 

func (x *ToolNameMatchInstance) GetReference() string

func (*ToolNameMatchInstance) ProtoMessage 

func (*ToolNameMatchInstance) ProtoMessage()

func (*ToolNameMatchInstance) ProtoReflect 

func (x *ToolNameMatchInstance) ProtoReflect() protoreflect.Message

func (*ToolNameMatchInstance) Reset 

func (x *ToolNameMatchInstance) Reset()

func (*ToolNameMatchInstance) String 

func (x *ToolNameMatchInstance) String() string

type ToolNameMatchMetricValue 

type ToolNameMatchMetricValue struct {

	// Output only. Tool name match score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Tool name match metric value for an instance.

func (*ToolNameMatchMetricValue) Descriptor 

func (*ToolNameMatchMetricValue) Descriptor() ([]byte, []int)

Deprecated: Use ToolNameMatchMetricValue.ProtoReflect.Descriptor instead.

func (*ToolNameMatchMetricValue) GetScore 

func (x *ToolNameMatchMetricValue) GetScore() float32

func (*ToolNameMatchMetricValue) ProtoMessage 

func (*ToolNameMatchMetricValue) ProtoMessage()

func (*ToolNameMatchMetricValue) ProtoReflect 

func (x *ToolNameMatchMetricValue) ProtoReflect() protoreflect.Message

func (*ToolNameMatchMetricValue) Reset 

func (x *ToolNameMatchMetricValue) Reset()

func (*ToolNameMatchMetricValue) String 

func (x *ToolNameMatchMetricValue) String() string

type ToolNameMatchResults 

type ToolNameMatchResults struct {

	// Output only. Tool name match metric values.
	ToolNameMatchMetricValues []*ToolNameMatchMetricValue `protobuf:"bytes,1,rep,name=tool_name_match_metric_values,json=toolNameMatchMetricValues,proto3" json:"tool_name_match_metric_values,omitempty"`
	// contains filtered or unexported fields
}

Results for tool name match metric.

func (*ToolNameMatchResults) Descriptor 

func (*ToolNameMatchResults) Descriptor() ([]byte, []int)

Deprecated: Use ToolNameMatchResults.ProtoReflect.Descriptor instead.

func (*ToolNameMatchResults) GetToolNameMatchMetricValues 

func (x *ToolNameMatchResults) GetToolNameMatchMetricValues() []*ToolNameMatchMetricValue

func (*ToolNameMatchResults) ProtoMessage 

func (*ToolNameMatchResults) ProtoMessage()

func (*ToolNameMatchResults) ProtoReflect 

func (x *ToolNameMatchResults) ProtoReflect() protoreflect.Message

func (*ToolNameMatchResults) Reset 

func (x *ToolNameMatchResults) Reset()

func (*ToolNameMatchResults) String 

func (x *ToolNameMatchResults) String() string

type ToolNameMatchSpec 

type ToolNameMatchSpec struct {
	// contains filtered or unexported fields
}

Spec for tool name match metric.

func (*ToolNameMatchSpec) Descriptor 

func (*ToolNameMatchSpec) Descriptor() ([]byte, []int)

Deprecated: Use ToolNameMatchSpec.ProtoReflect.Descriptor instead.

func (*ToolNameMatchSpec) ProtoMessage 

func (*ToolNameMatchSpec) ProtoMessage()

func (*ToolNameMatchSpec) ProtoReflect 

func (x *ToolNameMatchSpec) ProtoReflect() protoreflect.Message

func (*ToolNameMatchSpec) Reset 

func (x *ToolNameMatchSpec) Reset()

func (*ToolNameMatchSpec) String 

func (x *ToolNameMatchSpec) String() string

type ToolParameterKVMatchInput 

type ToolParameterKVMatchInput struct {

	// Required. Spec for tool parameter key value match metric.
	MetricSpec *ToolParameterKVMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Repeated tool parameter key value match instances.
	Instances []*ToolParameterKVMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// contains filtered or unexported fields
}

Input for tool parameter key value match metric.

func (*ToolParameterKVMatchInput) Descriptor 

func (*ToolParameterKVMatchInput) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKVMatchInput.ProtoReflect.Descriptor instead.

func (*ToolParameterKVMatchInput) GetInstances 

func (x *ToolParameterKVMatchInput) GetInstances() []*ToolParameterKVMatchInstance

func (*ToolParameterKVMatchInput) GetMetricSpec 

func (x *ToolParameterKVMatchInput) GetMetricSpec() *ToolParameterKVMatchSpec

func (*ToolParameterKVMatchInput) ProtoMessage 

func (*ToolParameterKVMatchInput) ProtoMessage()

func (*ToolParameterKVMatchInput) ProtoReflect 

func (x *ToolParameterKVMatchInput) ProtoReflect() protoreflect.Message

func (*ToolParameterKVMatchInput) Reset 

func (x *ToolParameterKVMatchInput) Reset()

func (*ToolParameterKVMatchInput) String 

func (x *ToolParameterKVMatchInput) String() string

type ToolParameterKVMatchInstance 

type ToolParameterKVMatchInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// contains filtered or unexported fields
}

Spec for tool parameter key value match instance.

func (*ToolParameterKVMatchInstance) Descriptor 

func (*ToolParameterKVMatchInstance) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKVMatchInstance.ProtoReflect.Descriptor instead.

func (*ToolParameterKVMatchInstance) GetPrediction 

func (x *ToolParameterKVMatchInstance) GetPrediction() string

func (*ToolParameterKVMatchInstance) GetReference 

func (x *ToolParameterKVMatchInstance) GetReference() string

func (*ToolParameterKVMatchInstance) ProtoMessage 

func (*ToolParameterKVMatchInstance) ProtoMessage()

func (*ToolParameterKVMatchInstance) ProtoReflect 

func (x *ToolParameterKVMatchInstance) ProtoReflect() protoreflect.Message

func (*ToolParameterKVMatchInstance) Reset 

func (x *ToolParameterKVMatchInstance) Reset()

func (*ToolParameterKVMatchInstance) String 

func (x *ToolParameterKVMatchInstance) String() string

type ToolParameterKVMatchMetricValue 

type ToolParameterKVMatchMetricValue struct {

	// Output only. Tool parameter key value match score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Tool parameter key value match metric value for an instance.

func (*ToolParameterKVMatchMetricValue) Descriptor 

func (*ToolParameterKVMatchMetricValue) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKVMatchMetricValue.ProtoReflect.Descriptor instead.

func (*ToolParameterKVMatchMetricValue) GetScore 

func (x *ToolParameterKVMatchMetricValue) GetScore() float32

func (*ToolParameterKVMatchMetricValue) ProtoMessage 

func (*ToolParameterKVMatchMetricValue) ProtoMessage()

func (*ToolParameterKVMatchMetricValue) ProtoReflect 

func (x *ToolParameterKVMatchMetricValue) ProtoReflect() protoreflect.Message

func (*ToolParameterKVMatchMetricValue) Reset 

func (x *ToolParameterKVMatchMetricValue) Reset()

func (*ToolParameterKVMatchMetricValue) String 

func (x *ToolParameterKVMatchMetricValue) String() string

type ToolParameterKVMatchResults 

type ToolParameterKVMatchResults struct {

	// Output only. Tool parameter key value match metric values.
	ToolParameterKvMatchMetricValues []*ToolParameterKVMatchMetricValue `protobuf:"bytes,1,rep,name=tool_parameter_kv_match_metric_values,json=toolParameterKvMatchMetricValues,proto3" json:"tool_parameter_kv_match_metric_values,omitempty"`
	// contains filtered or unexported fields
}

Results for tool parameter key value match metric.

func (*ToolParameterKVMatchResults) Descriptor 

func (*ToolParameterKVMatchResults) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKVMatchResults.ProtoReflect.Descriptor instead.

func (*ToolParameterKVMatchResults) GetToolParameterKvMatchMetricValues 

func (x *ToolParameterKVMatchResults) GetToolParameterKvMatchMetricValues() []*ToolParameterKVMatchMetricValue

func (*ToolParameterKVMatchResults) ProtoMessage 

func (*ToolParameterKVMatchResults) ProtoMessage()

func (*ToolParameterKVMatchResults) ProtoReflect 

func (x *ToolParameterKVMatchResults) ProtoReflect() protoreflect.Message

func (*ToolParameterKVMatchResults) Reset 

func (x *ToolParameterKVMatchResults) Reset()

func (*ToolParameterKVMatchResults) String 

func (x *ToolParameterKVMatchResults) String() string

type ToolParameterKVMatchSpec 

type ToolParameterKVMatchSpec struct {

	// Optional. Whether to use STRICT string match on parameter values.
	UseStrictStringMatch bool `protobuf:"varint,1,opt,name=use_strict_string_match,json=useStrictStringMatch,proto3" json:"use_strict_string_match,omitempty"`
	// contains filtered or unexported fields
}

Spec for tool parameter key value match metric.

func (*ToolParameterKVMatchSpec) Descriptor 

func (*ToolParameterKVMatchSpec) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKVMatchSpec.ProtoReflect.Descriptor instead.

func (*ToolParameterKVMatchSpec) GetUseStrictStringMatch 

func (x *ToolParameterKVMatchSpec) GetUseStrictStringMatch() bool

func (*ToolParameterKVMatchSpec) ProtoMessage 

func (*ToolParameterKVMatchSpec) ProtoMessage()

func (*ToolParameterKVMatchSpec) ProtoReflect 

func (x *ToolParameterKVMatchSpec) ProtoReflect() protoreflect.Message

func (*ToolParameterKVMatchSpec) Reset 

func (x *ToolParameterKVMatchSpec) Reset()

func (*ToolParameterKVMatchSpec) String 

func (x *ToolParameterKVMatchSpec) String() string

type ToolParameterKeyMatchInput 

type ToolParameterKeyMatchInput struct {

	// Required. Spec for tool parameter key match metric.
	MetricSpec *ToolParameterKeyMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
	// Required. Repeated tool parameter key match instances.
	Instances []*ToolParameterKeyMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// contains filtered or unexported fields
}

Input for tool parameter key match metric.

func (*ToolParameterKeyMatchInput) Descriptor 

func (*ToolParameterKeyMatchInput) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKeyMatchInput.ProtoReflect.Descriptor instead.

func (*ToolParameterKeyMatchInput) GetInstances 

func (x *ToolParameterKeyMatchInput) GetInstances() []*ToolParameterKeyMatchInstance

func (*ToolParameterKeyMatchInput) GetMetricSpec 

func (x *ToolParameterKeyMatchInput) GetMetricSpec() *ToolParameterKeyMatchSpec

func (*ToolParameterKeyMatchInput) ProtoMessage 

func (*ToolParameterKeyMatchInput) ProtoMessage()

func (*ToolParameterKeyMatchInput) ProtoReflect 

func (x *ToolParameterKeyMatchInput) ProtoReflect() protoreflect.Message

func (*ToolParameterKeyMatchInput) Reset 

func (x *ToolParameterKeyMatchInput) Reset()

func (*ToolParameterKeyMatchInput) String 

func (x *ToolParameterKeyMatchInput) String() string

type ToolParameterKeyMatchInstance 

type ToolParameterKeyMatchInstance struct {

	// Required. Output of the evaluated model.
	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
	// Required. Ground truth used to compare against the prediction.
	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
	// contains filtered or unexported fields
}

Spec for tool parameter key match instance.

func (*ToolParameterKeyMatchInstance) Descriptor 

func (*ToolParameterKeyMatchInstance) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKeyMatchInstance.ProtoReflect.Descriptor instead.

func (*ToolParameterKeyMatchInstance) GetPrediction 

func (x *ToolParameterKeyMatchInstance) GetPrediction() string

func (*ToolParameterKeyMatchInstance) GetReference 

func (x *ToolParameterKeyMatchInstance) GetReference() string

func (*ToolParameterKeyMatchInstance) ProtoMessage 

func (*ToolParameterKeyMatchInstance) ProtoMessage()

func (*ToolParameterKeyMatchInstance) ProtoReflect 

func (x *ToolParameterKeyMatchInstance) ProtoReflect() protoreflect.Message

func (*ToolParameterKeyMatchInstance) Reset 

func (x *ToolParameterKeyMatchInstance) Reset()

func (*ToolParameterKeyMatchInstance) String 

func (x *ToolParameterKeyMatchInstance) String() string

type ToolParameterKeyMatchMetricValue 

type ToolParameterKeyMatchMetricValue struct {

	// Output only. Tool parameter key match score.
	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
	// contains filtered or unexported fields
}

Tool parameter key match metric value for an instance.

func (*ToolParameterKeyMatchMetricValue) Descriptor 

func (*ToolParameterKeyMatchMetricValue) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKeyMatchMetricValue.ProtoReflect.Descriptor instead.

func (*ToolParameterKeyMatchMetricValue) GetScore 

func (x *ToolParameterKeyMatchMetricValue) GetScore() float32

func (*ToolParameterKeyMatchMetricValue) ProtoMessage 

func (*ToolParameterKeyMatchMetricValue) ProtoMessage()

func (*ToolParameterKeyMatchMetricValue) ProtoReflect 

func (x *ToolParameterKeyMatchMetricValue) ProtoReflect() protoreflect.Message

func (*ToolParameterKeyMatchMetricValue) Reset 

func (x *ToolParameterKeyMatchMetricValue) Reset()

func (*ToolParameterKeyMatchMetricValue) String 

func (x *ToolParameterKeyMatchMetricValue) String() string

type ToolParameterKeyMatchResults 

type ToolParameterKeyMatchResults struct {

	// Output only. Tool parameter key match metric values.
	ToolParameterKeyMatchMetricValues []*ToolParameterKeyMatchMetricValue `protobuf:"bytes,1,rep,name=tool_parameter_key_match_metric_values,json=toolParameterKeyMatchMetricValues,proto3" json:"tool_parameter_key_match_metric_values,omitempty"`
	// contains filtered or unexported fields
}

Results for tool parameter key match metric.

func (*ToolParameterKeyMatchResults) Descriptor 

func (*ToolParameterKeyMatchResults) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKeyMatchResults.ProtoReflect.Descriptor instead.

func (*ToolParameterKeyMatchResults) GetToolParameterKeyMatchMetricValues 

func (x *ToolParameterKeyMatchResults) GetToolParameterKeyMatchMetricValues() []*ToolParameterKeyMatchMetricValue

func (*ToolParameterKeyMatchResults) ProtoMessage 

func (*ToolParameterKeyMatchResults) ProtoMessage()

func (*ToolParameterKeyMatchResults) ProtoReflect 

func (x *ToolParameterKeyMatchResults) ProtoReflect() protoreflect.Message

func (*ToolParameterKeyMatchResults) Reset 

func (x *ToolParameterKeyMatchResults) Reset()

func (*ToolParameterKeyMatchResults) String 

func (x *ToolParameterKeyMatchResults) String() string

type ToolParameterKeyMatchSpec 

type ToolParameterKeyMatchSpec struct {
	// contains filtered or unexported fields
}

Spec for tool parameter key match metric.

func (*ToolParameterKeyMatchSpec) Descriptor 

func (*ToolParameterKeyMatchSpec) Descriptor() ([]byte, []int)

Deprecated: Use ToolParameterKeyMatchSpec.ProtoReflect.Descriptor instead.

func (*ToolParameterKeyMatchSpec) ProtoMessage 

func (*ToolParameterKeyMatchSpec) ProtoMessage()

func (*ToolParameterKeyMatchSpec) ProtoReflect 

func (x *ToolParameterKeyMatchSpec) ProtoReflect() protoreflect.Message

func (*ToolParameterKeyMatchSpec) Reset 

func (x *ToolParameterKeyMatchSpec) Reset()

func (*ToolParameterKeyMatchSpec) String 

func (x *ToolParameterKeyMatchSpec) String() string

type Tool_CodeExecution 

type Tool_CodeExecution struct {
	// contains filtered or unexported fields
}

Tool that executes code generated by the model, and automatically returns the result to the model.

See also [ExecutableCode]and CodeExecutionResult which are input and output to this tool.

func (*Tool_CodeExecution) Descriptor 

func (*Tool_CodeExecution) Descriptor() ([]byte, []int)

Deprecated: Use Tool_CodeExecution.ProtoReflect.Descriptor instead.

func (*Tool_CodeExecution) ProtoMessage 

func (*Tool_CodeExecution) ProtoMessage()

func (*Tool_CodeExecution) ProtoReflect 

func (x *Tool_CodeExecution) ProtoReflect() protoreflect.Message

func (*Tool_CodeExecution) Reset 

func (x *Tool_CodeExecution) Reset()

func (*Tool_CodeExecution) String 

func (x *Tool_CodeExecution) String() string

type TrainingConfig 

type TrainingConfig struct {

	// The timeout hours for the CMLE training job, expressed in milli hours
	// i.e. 1,000 value in this field means 1 hour.
	TimeoutTrainingMilliHours int64 `protobuf:"varint,1,opt,name=timeout_training_milli_hours,json=timeoutTrainingMilliHours,proto3" json:"timeout_training_milli_hours,omitempty"`
	// contains filtered or unexported fields
}

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

func (*TrainingConfig) Descriptor 

func (*TrainingConfig) Descriptor() ([]byte, []int)

Deprecated: Use TrainingConfig.ProtoReflect.Descriptor instead.

func (*TrainingConfig) GetTimeoutTrainingMilliHours 

func (x *TrainingConfig) GetTimeoutTrainingMilliHours() int64

func (*TrainingConfig) ProtoMessage 

func (*TrainingConfig) ProtoMessage()

func (*TrainingConfig) ProtoReflect 

func (x *TrainingConfig) ProtoReflect() protoreflect.Message

func (*TrainingConfig) Reset 

func (x *TrainingConfig) Reset()

func (*TrainingConfig) String 

func (x *TrainingConfig) String() string

type TrainingPipeline 

type TrainingPipeline struct {

	// Output only. Resource name of the TrainingPipeline.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of this TrainingPipeline.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Specifies Vertex AI owned input data that may be used for training the
	// Model. The TrainingPipeline's
	// [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
	// should make clear whether this config is used and if there are any special
	// requirements on how it should be filled. If nothing about this config is
	// mentioned in the
	// [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
	// then it should be assumed that the TrainingPipeline does not depend on this
	// configuration.
	InputDataConfig *InputDataConfig `protobuf:"bytes,3,opt,name=input_data_config,json=inputDataConfig,proto3" json:"input_data_config,omitempty"`
	// Required. A Google Cloud Storage path to the YAML file that defines the
	// training task which is responsible for producing the model artifact, and
	// may also include additional auxiliary work. The definition files that can
	// be used here are found in
	// gs://google-cloud-aiplatform/schema/trainingjob/definition/.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	TrainingTaskDefinition string `protobuf:"bytes,4,opt,name=training_task_definition,json=trainingTaskDefinition,proto3" json:"training_task_definition,omitempty"`
	// Required. The training task's parameter(s), as specified in the
	// [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
	// `inputs`.
	TrainingTaskInputs *structpb.Value `protobuf:"bytes,5,opt,name=training_task_inputs,json=trainingTaskInputs,proto3" json:"training_task_inputs,omitempty"`
	// Output only. The metadata information as specified in the
	// [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
	// `metadata`. This metadata is an auxiliary runtime and final information
	// about the training task. While the pipeline is running this information is
	// populated only at a best effort basis. Only present if the
	// pipeline's
	// [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
	// contains `metadata` object.
	TrainingTaskMetadata *structpb.Value `protobuf:"bytes,6,opt,name=training_task_metadata,json=trainingTaskMetadata,proto3" json:"training_task_metadata,omitempty"`
	// Describes the Model that may be uploaded (via
	// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
	// by this TrainingPipeline. The TrainingPipeline's
	// [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
	// should make clear whether this Model description should be populated, and
	// if there are any special requirements regarding how it should be filled. If
	// nothing is mentioned in the
	// [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
	// then it should be assumed that this field should not be filled and the
	// training task either uploads the Model without a need of this information,
	// or that training task does not support uploading a Model as part of the
	// pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
	// the trained Model had been uploaded into Vertex AI, then the
	// model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
	// populated. The Model is always uploaded into the Project and Location in
	// which this pipeline is.
	ModelToUpload *Model `protobuf:"bytes,7,opt,name=model_to_upload,json=modelToUpload,proto3" json:"model_to_upload,omitempty"`
	// Optional. The ID to use for the uploaded Model, which will become the final
	// component of the model resource name.
	//
	// This value may be up to 63 characters, and valid characters are
	// `[a-z0-9_-]`. The first character cannot be a number or hyphen.
	ModelId string `protobuf:"bytes,22,opt,name=model_id,json=modelId,proto3" json:"model_id,omitempty"`
	// Optional. When specify this field, the `model_to_upload` will not be
	// uploaded as a new model, instead, it will become a new version of this
	// `parent_model`.
	ParentModel string `protobuf:"bytes,21,opt,name=parent_model,json=parentModel,proto3" json:"parent_model,omitempty"`
	// Output only. The detailed state of the pipeline.
	State PipelineState `protobuf:"varint,9,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineState" json:"state,omitempty"`
	// Output only. Only populated when the pipeline's state is
	// `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
	// Output only. Time when the TrainingPipeline was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the TrainingPipeline for the first time entered the
	// `PIPELINE_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the TrainingPipeline entered any of the following
	// states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
	// `PIPELINE_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the TrainingPipeline was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize TrainingPipelines.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,15,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Customer-managed encryption key spec for a TrainingPipeline. If set, this
	// TrainingPipeline will be secured by this key.
	//
	// Note: Model trained by this TrainingPipeline is also secured by this key if
	// [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
	// is not set separately.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,18,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

The TrainingPipeline orchestrates tasks associated with training a Model. It always executes the training task, and optionally may also export data from Vertex AI's Dataset which becomes the training input, [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the Model.

func (*TrainingPipeline) Descriptor 

func (*TrainingPipeline) Descriptor() ([]byte, []int)

Deprecated: Use TrainingPipeline.ProtoReflect.Descriptor instead.

func (*TrainingPipeline) GetCreateTime 

func (x *TrainingPipeline) GetCreateTime() *timestamppb.Timestamp

func (*TrainingPipeline) GetDisplayName 

func (x *TrainingPipeline) GetDisplayName() string

func (*TrainingPipeline) GetEncryptionSpec 

func (x *TrainingPipeline) GetEncryptionSpec() *EncryptionSpec

func (*TrainingPipeline) GetEndTime 

func (x *TrainingPipeline) GetEndTime() *timestamppb.Timestamp

func (*TrainingPipeline) GetError 

func (x *TrainingPipeline) GetError() *status.Status

func (*TrainingPipeline) GetInputDataConfig 

func (x *TrainingPipeline) GetInputDataConfig() *InputDataConfig

func (*TrainingPipeline) GetLabels 

func (x *TrainingPipeline) GetLabels() map[string]string

func (*TrainingPipeline) GetModelId 

func (x *TrainingPipeline) GetModelId() string

func (*TrainingPipeline) GetModelToUpload 

func (x *TrainingPipeline) GetModelToUpload() *Model

func (*TrainingPipeline) GetName 

func (x *TrainingPipeline) GetName() string

func (*TrainingPipeline) GetParentModel 

func (x *TrainingPipeline) GetParentModel() string

func (*TrainingPipeline) GetStartTime 

func (x *TrainingPipeline) GetStartTime() *timestamppb.Timestamp

func (*TrainingPipeline) GetState 

func (x *TrainingPipeline) GetState() PipelineState

func (*TrainingPipeline) GetTrainingTaskDefinition 

func (x *TrainingPipeline) GetTrainingTaskDefinition() string

func (*TrainingPipeline) GetTrainingTaskInputs 

func (x *TrainingPipeline) GetTrainingTaskInputs() *structpb.Value

func (*TrainingPipeline) GetTrainingTaskMetadata 

func (x *TrainingPipeline) GetTrainingTaskMetadata() *structpb.Value

func (*TrainingPipeline) GetUpdateTime 

func (x *TrainingPipeline) GetUpdateTime() *timestamppb.Timestamp

func (*TrainingPipeline) ProtoMessage 

func (*TrainingPipeline) ProtoMessage()

func (*TrainingPipeline) ProtoReflect 

func (x *TrainingPipeline) ProtoReflect() protoreflect.Message

func (*TrainingPipeline) Reset 

func (x *TrainingPipeline) Reset()

func (*TrainingPipeline) String 

func (x *TrainingPipeline) String() string

type Trial 

type Trial struct {

	// Output only. Resource name of the Trial assigned by the service.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. The identifier of the Trial assigned by the service.
	Id string `protobuf:"bytes,2,opt,name=id,proto3" json:"id,omitempty"`
	// Output only. The detailed state of the Trial.
	State Trial_State `protobuf:"varint,3,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Trial_State" json:"state,omitempty"`
	// Output only. The parameters of the Trial.
	Parameters []*Trial_Parameter `protobuf:"bytes,4,rep,name=parameters,proto3" json:"parameters,omitempty"`
	// Output only. The final measurement containing the objective value.
	FinalMeasurement *Measurement `protobuf:"bytes,5,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
	// Output only. A list of measurements that are strictly lexicographically
	// ordered by their induced tuples (steps, elapsed_duration).
	// These are used for early stopping computations.
	Measurements []*Measurement `protobuf:"bytes,6,rep,name=measurements,proto3" json:"measurements,omitempty"`
	// Output only. Time when the Trial was started.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the Trial's status changed to `SUCCEEDED` or
	// `INFEASIBLE`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. The identifier of the client that originally requested this
	// Trial. Each client is identified by a unique client_id. When a client asks
	// for a suggestion, Vertex AI Vizier will assign it a Trial. The client
	// should evaluate the Trial, complete it, and report back to Vertex AI
	// Vizier. If suggestion is asked again by same client_id before the Trial is
	// completed, the same Trial will be returned. Multiple clients with
	// different client_ids can ask for suggestions simultaneously, each of them
	// will get their own Trial.
	ClientId string `protobuf:"bytes,9,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
	// Output only. A human readable string describing why the Trial is
	// infeasible. This is set only if Trial state is `INFEASIBLE`.
	InfeasibleReason string `protobuf:"bytes,10,opt,name=infeasible_reason,json=infeasibleReason,proto3" json:"infeasible_reason,omitempty"`
	// Output only. The CustomJob name linked to the Trial.
	// It's set for a HyperparameterTuningJob's Trial.
	CustomJob string `protobuf:"bytes,11,opt,name=custom_job,json=customJob,proto3" json:"custom_job,omitempty"`
	// Output only. URIs for accessing [interactive
	// shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
	// (one URI for each training node). Only available if this trial is part of
	// a
	// [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
	// and the job's
	// [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
	// field is `true`.
	//
	// The keys are names of each node used for the trial; for example,
	// `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
	// the second worker pool, and `workerpool1-1` for the second node in the
	// second worker pool.
	//
	// The values are the URIs for each node's interactive shell.
	WebAccessUris map[string]string `protobuf:"bytes,12,rep,name=web_access_uris,json=webAccessUris,proto3" json:"web_access_uris,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial.

func (*Trial) Descriptor 

func (*Trial) Descriptor() ([]byte, []int)

Deprecated: Use Trial.ProtoReflect.Descriptor instead.

func (*Trial) GetClientId 

func (x *Trial) GetClientId() string

func (*Trial) GetCustomJob 

func (x *Trial) GetCustomJob() string

func (*Trial) GetEndTime 

func (x *Trial) GetEndTime() *timestamppb.Timestamp

func (*Trial) GetFinalMeasurement 

func (x *Trial) GetFinalMeasurement() *Measurement

func (*Trial) GetId 

func (x *Trial) GetId() string

func (*Trial) GetInfeasibleReason 

func (x *Trial) GetInfeasibleReason() string

func (*Trial) GetMeasurements 

func (x *Trial) GetMeasurements() []*Measurement

func (*Trial) GetName 

func (x *Trial) GetName() string

func (*Trial) GetParameters 

func (x *Trial) GetParameters() []*Trial_Parameter

func (*Trial) GetStartTime 

func (x *Trial) GetStartTime() *timestamppb.Timestamp

func (*Trial) GetState 

func (x *Trial) GetState() Trial_State

func (*Trial) GetWebAccessUris 

func (x *Trial) GetWebAccessUris() map[string]string

func (*Trial) ProtoMessage 

func (*Trial) ProtoMessage()

func (*Trial) ProtoReflect 

func (x *Trial) ProtoReflect() protoreflect.Message

func (*Trial) Reset 

func (x *Trial) Reset()

func (*Trial) String 

func (x *Trial) String() string

type TrialContext 

type TrialContext struct {

	// A human-readable field which can store a description of this context.
	// This will become part of the resulting Trial's description field.
	Description string `protobuf:"bytes,1,opt,name=description,proto3" json:"description,omitempty"`
	// If/when a Trial is generated or selected from this Context,
	// its Parameters will match any parameters specified here.
	// (I.e. if this context specifies parameter name:'a' int_value:3,
	// then a resulting Trial will have int_value:3 for its parameter named
	// 'a'.) Note that we first attempt to match existing REQUESTED Trials with
	// contexts, and if there are no matches, we generate suggestions in the
	// subspace defined by the parameters specified here.
	// NOTE: a Context without any Parameters matches the entire feasible search
	//
	//	space.
	Parameters []*Trial_Parameter `protobuf:"bytes,2,rep,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

func (*TrialContext) Descriptor 

func (*TrialContext) Descriptor() ([]byte, []int)

Deprecated: Use TrialContext.ProtoReflect.Descriptor instead.

func (*TrialContext) GetDescription 

func (x *TrialContext) GetDescription() string

func (*TrialContext) GetParameters 

func (x *TrialContext) GetParameters() []*Trial_Parameter

func (*TrialContext) ProtoMessage 

func (*TrialContext) ProtoMessage()

func (*TrialContext) ProtoReflect 

func (x *TrialContext) ProtoReflect() protoreflect.Message

func (*TrialContext) Reset 

func (x *TrialContext) Reset()

func (*TrialContext) String 

func (x *TrialContext) String() string

type Trial_Parameter 

type Trial_Parameter struct {

	// Output only. The ID of the parameter. The parameter should be defined in
	// [StudySpec's
	// Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
	ParameterId string `protobuf:"bytes,1,opt,name=parameter_id,json=parameterId,proto3" json:"parameter_id,omitempty"`
	// Output only. The value of the parameter.
	// `number_value` will be set if a parameter defined in StudySpec is
	// in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
	// `string_value` will be set if a parameter defined in StudySpec is
	// in type 'CATEGORICAL'.
	Value *structpb.Value `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

A message representing a parameter to be tuned.

func (*Trial_Parameter) Descriptor 

func (*Trial_Parameter) Descriptor() ([]byte, []int)

Deprecated: Use Trial_Parameter.ProtoReflect.Descriptor instead.

func (*Trial_Parameter) GetParameterId 

func (x *Trial_Parameter) GetParameterId() string

func (*Trial_Parameter) GetValue 

func (x *Trial_Parameter) GetValue() *structpb.Value

func (*Trial_Parameter) ProtoMessage 

func (*Trial_Parameter) ProtoMessage()

func (*Trial_Parameter) ProtoReflect 

func (x *Trial_Parameter) ProtoReflect() protoreflect.Message

func (*Trial_Parameter) Reset 

func (x *Trial_Parameter) Reset()

func (*Trial_Parameter) String 

func (x *Trial_Parameter) String() string

type Trial_State 

type Trial_State int32

Describes a Trial state. 

const (
	// The Trial state is unspecified.
	Trial_STATE_UNSPECIFIED Trial_State = 0
	// Indicates that a specific Trial has been requested, but it has not yet
	// been suggested by the service.
	Trial_REQUESTED Trial_State = 1
	// Indicates that the Trial has been suggested.
	Trial_ACTIVE Trial_State = 2
	// Indicates that the Trial should stop according to the service.
	Trial_STOPPING Trial_State = 3
	// Indicates that the Trial is completed successfully.
	Trial_SUCCEEDED Trial_State = 4
	// Indicates that the Trial should not be attempted again.
	// The service will set a Trial to INFEASIBLE when it's done but missing
	// the final_measurement.
	Trial_INFEASIBLE Trial_State = 5
)

func (Trial_State) Descriptor 

func (Trial_State) Descriptor() protoreflect.EnumDescriptor

func (Trial_State) Enum 

func (x Trial_State) Enum() *Trial_State

func (Trial_State) EnumDescriptor 

func (Trial_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Trial_State.Descriptor instead.

func (Trial_State) Number 

func (x Trial_State) Number() protoreflect.EnumNumber

func (Trial_State) String 

func (x Trial_State) String() string

func (Trial_State) Type 

func (Trial_State) Type() protoreflect.EnumType

type TunedModel 

type TunedModel struct {

	// Output only. The resource name of the TunedModel. Format:
	// `projects/{project}/locations/{location}/models/{model}`.
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. A resource name of an Endpoint. Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`.
	Endpoint string `protobuf:"bytes,2,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// contains filtered or unexported fields
}

The Model Registry Model and Online Prediction Endpoint assiociated with this TuningJob[google.cloud.aiplatform.v1.TuningJob].

func (*TunedModel) Descriptor 

func (*TunedModel) Descriptor() ([]byte, []int)

Deprecated: Use TunedModel.ProtoReflect.Descriptor instead.

func (*TunedModel) GetEndpoint 

func (x *TunedModel) GetEndpoint() string

func (*TunedModel) GetModel 

func (x *TunedModel) GetModel() string

func (*TunedModel) ProtoMessage 

func (*TunedModel) ProtoMessage()

func (*TunedModel) ProtoReflect 

func (x *TunedModel) ProtoReflect() protoreflect.Message

func (*TunedModel) Reset 

func (x *TunedModel) Reset()

func (*TunedModel) String 

func (x *TunedModel) String() string

type TunedModelRef 

type TunedModelRef struct {

	// The Tuned Model Reference for the model.
	//
	// Types that are assignable to TunedModelRef:
	//
	//	*TunedModelRef_TunedModel
	//	*TunedModelRef_TuningJob
	//	*TunedModelRef_PipelineJob
	TunedModelRef isTunedModelRef_TunedModelRef `protobuf_oneof:"tuned_model_ref"`
	// contains filtered or unexported fields
}

TunedModel Reference for legacy model migration.

func (*TunedModelRef) Descriptor 

func (*TunedModelRef) Descriptor() ([]byte, []int)

Deprecated: Use TunedModelRef.ProtoReflect.Descriptor instead.

func (*TunedModelRef) GetPipelineJob 

func (x *TunedModelRef) GetPipelineJob() string

func (*TunedModelRef) GetTunedModel 

func (x *TunedModelRef) GetTunedModel() string

func (*TunedModelRef) GetTunedModelRef 

func (m *TunedModelRef) GetTunedModelRef() isTunedModelRef_TunedModelRef

func (*TunedModelRef) GetTuningJob 

func (x *TunedModelRef) GetTuningJob() string

func (*TunedModelRef) ProtoMessage 

func (*TunedModelRef) ProtoMessage()

func (*TunedModelRef) ProtoReflect 

func (x *TunedModelRef) ProtoReflect() protoreflect.Message

func (*TunedModelRef) Reset 

func (x *TunedModelRef) Reset()

func (*TunedModelRef) String 

func (x *TunedModelRef) String() string

type TunedModelRef_PipelineJob 

type TunedModelRef_PipelineJob struct {
	// Support migration from tuning job list page, from bison model to gemini
	// model.
	PipelineJob string `protobuf:"bytes,3,opt,name=pipeline_job,json=pipelineJob,proto3,oneof"`
}

type TunedModelRef_TunedModel 

type TunedModelRef_TunedModel struct {
	// Support migration from model registry.
	TunedModel string `protobuf:"bytes,1,opt,name=tuned_model,json=tunedModel,proto3,oneof"`
}

type TunedModelRef_TuningJob 

type TunedModelRef_TuningJob struct {
	// Support migration from tuning job list page, from gemini-1.0-pro-002
	// to 1.5 and above.
	TuningJob string `protobuf:"bytes,2,opt,name=tuning_job,json=tuningJob,proto3,oneof"`
}

type TuningDataStats 

type TuningDataStats struct {

	// Types that are assignable to TuningDataStats:
	//
	//	*TuningDataStats_SupervisedTuningDataStats
	TuningDataStats isTuningDataStats_TuningDataStats `protobuf_oneof:"tuning_data_stats"`
	// contains filtered or unexported fields
}

The tuning data statistic values for TuningJob[google.cloud.aiplatform.v1.TuningJob].

func (*TuningDataStats) Descriptor 

func (*TuningDataStats) Descriptor() ([]byte, []int)

Deprecated: Use TuningDataStats.ProtoReflect.Descriptor instead.

func (*TuningDataStats) GetSupervisedTuningDataStats 

func (x *TuningDataStats) GetSupervisedTuningDataStats() *SupervisedTuningDataStats

func (*TuningDataStats) GetTuningDataStats 

func (m *TuningDataStats) GetTuningDataStats() isTuningDataStats_TuningDataStats

func (*TuningDataStats) ProtoMessage 

func (*TuningDataStats) ProtoMessage()

func (*TuningDataStats) ProtoReflect 

func (x *TuningDataStats) ProtoReflect() protoreflect.Message

func (*TuningDataStats) Reset 

func (x *TuningDataStats) Reset()

func (*TuningDataStats) String 

func (x *TuningDataStats) String() string

type TuningDataStats_SupervisedTuningDataStats 

type TuningDataStats_SupervisedTuningDataStats struct {
	// The SFT Tuning data stats.
	SupervisedTuningDataStats *SupervisedTuningDataStats `protobuf:"bytes,1,opt,name=supervised_tuning_data_stats,json=supervisedTuningDataStats,proto3,oneof"`
}

type TuningJob 

type TuningJob struct {

	// Types that are assignable to SourceModel:
	//
	//	*TuningJob_BaseModel
	SourceModel isTuningJob_SourceModel `protobuf_oneof:"source_model"`
	// Types that are assignable to TuningSpec:
	//
	//	*TuningJob_SupervisedTuningSpec
	TuningSpec isTuningJob_TuningSpec `protobuf_oneof:"tuning_spec"`
	// Output only. Identifier. Resource name of a TuningJob. Format:
	// `projects/{project}/locations/{location}/tuningJobs/{tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The display name of the
	// [TunedModel][google.cloud.aiplatform.v1.Model]. The name can be up to 128
	// characters long and can consist of any UTF-8 characters.
	TunedModelDisplayName string `protobuf:"bytes,2,opt,name=tuned_model_display_name,json=tunedModelDisplayName,proto3" json:"tuned_model_display_name,omitempty"`
	// Optional. The description of the
	// [TuningJob][google.cloud.aiplatform.v1.TuningJob].
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,6,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
	// Output only. Time when the
	// [TuningJob][google.cloud.aiplatform.v1.TuningJob] was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the
	// [TuningJob][google.cloud.aiplatform.v1.TuningJob] for the first time
	// entered the `JOB_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the TuningJob entered any of the following
	// [JobStates][google.cloud.aiplatform.v1.JobState]: `JOB_STATE_SUCCEEDED`,
	// `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`, `JOB_STATE_EXPIRED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the
	// [TuningJob][google.cloud.aiplatform.v1.TuningJob] was most recently
	// updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Only populated when job's state is `JOB_STATE_FAILED` or
	// `JOB_STATE_CANCELLED`.
	Error *status.Status `protobuf:"bytes,11,opt,name=error,proto3" json:"error,omitempty"`
	// Optional. The labels with user-defined metadata to organize
	// [TuningJob][google.cloud.aiplatform.v1.TuningJob] and generated resources
	// such as [Model][google.cloud.aiplatform.v1.Model] and
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint].
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,12,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. The Experiment associated with this
	// [TuningJob][google.cloud.aiplatform.v1.TuningJob].
	Experiment string `protobuf:"bytes,13,opt,name=experiment,proto3" json:"experiment,omitempty"`
	// Output only. The tuned model resources assiociated with this
	// [TuningJob][google.cloud.aiplatform.v1.TuningJob].
	TunedModel *TunedModel `protobuf:"bytes,14,opt,name=tuned_model,json=tunedModel,proto3" json:"tuned_model,omitempty"`
	// Output only. The tuning data statistics associated with this
	// [TuningJob][google.cloud.aiplatform.v1.TuningJob].
	TuningDataStats *TuningDataStats `protobuf:"bytes,15,opt,name=tuning_data_stats,json=tuningDataStats,proto3" json:"tuning_data_stats,omitempty"`
	// Customer-managed encryption key options for a TuningJob. If this is set,
	// then all resources created by the TuningJob will be encrypted with the
	// provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,16,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// The service account that the tuningJob workload runs as.
	// If not specified, the Vertex AI Secure Fine-Tuned Service Agent in the
	// project will be used. See
	// https://cloud.google.com/iam/docs/service-agents#vertex-ai-secure-fine-tuning-service-agent
	//
	// Users starting the pipeline must have the `iam.serviceAccounts.actAs`
	// permission on this service account.
	ServiceAccount string `protobuf:"bytes,22,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// contains filtered or unexported fields
}

Represents a TuningJob that runs with Google owned models.

func (*TuningJob) Descriptor 

func (*TuningJob) Descriptor() ([]byte, []int)

Deprecated: Use TuningJob.ProtoReflect.Descriptor instead.

func (*TuningJob) GetBaseModel 

func (x *TuningJob) GetBaseModel() string

func (*TuningJob) GetCreateTime 

func (x *TuningJob) GetCreateTime() *timestamppb.Timestamp

func (*TuningJob) GetDescription 

func (x *TuningJob) GetDescription() string

func (*TuningJob) GetEncryptionSpec 

func (x *TuningJob) GetEncryptionSpec() *EncryptionSpec

func (*TuningJob) GetEndTime 

func (x *TuningJob) GetEndTime() *timestamppb.Timestamp

func (*TuningJob) GetError 

func (x *TuningJob) GetError() *status.Status

func (*TuningJob) GetExperiment 

func (x *TuningJob) GetExperiment() string

func (*TuningJob) GetLabels 

func (x *TuningJob) GetLabels() map[string]string

func (*TuningJob) GetName 

func (x *TuningJob) GetName() string

func (*TuningJob) GetServiceAccount 

func (x *TuningJob) GetServiceAccount() string

func (*TuningJob) GetSourceModel 

func (m *TuningJob) GetSourceModel() isTuningJob_SourceModel

func (*TuningJob) GetStartTime 

func (x *TuningJob) GetStartTime() *timestamppb.Timestamp

func (*TuningJob) GetState 

func (x *TuningJob) GetState() JobState

func (*TuningJob) GetSupervisedTuningSpec 

func (x *TuningJob) GetSupervisedTuningSpec() *SupervisedTuningSpec

func (*TuningJob) GetTunedModel 

func (x *TuningJob) GetTunedModel() *TunedModel

func (*TuningJob) GetTunedModelDisplayName 

func (x *TuningJob) GetTunedModelDisplayName() string

func (*TuningJob) GetTuningDataStats 

func (x *TuningJob) GetTuningDataStats() *TuningDataStats

func (*TuningJob) GetTuningSpec 

func (m *TuningJob) GetTuningSpec() isTuningJob_TuningSpec

func (*TuningJob) GetUpdateTime 

func (x *TuningJob) GetUpdateTime() *timestamppb.Timestamp

func (*TuningJob) ProtoMessage 

func (*TuningJob) ProtoMessage()

func (*TuningJob) ProtoReflect 

func (x *TuningJob) ProtoReflect() protoreflect.Message

func (*TuningJob) Reset 

func (x *TuningJob) Reset()

func (*TuningJob) String 

func (x *TuningJob) String() string

type TuningJob_BaseModel 

type TuningJob_BaseModel struct {
	// The base model that is being tuned, e.g., "gemini-1.0-pro-002".
	BaseModel string `protobuf:"bytes,4,opt,name=base_model,json=baseModel,proto3,oneof"`
}

type TuningJob_SupervisedTuningSpec 

type TuningJob_SupervisedTuningSpec struct {
	// Tuning Spec for Supervised Fine Tuning.
	SupervisedTuningSpec *SupervisedTuningSpec `protobuf:"bytes,5,opt,name=supervised_tuning_spec,json=supervisedTuningSpec,proto3,oneof"`
}

type Type 

type Type int32

Type contains the list of OpenAPI data types as defined by https://swagger.io/docs/specification/data-models/data-types/ 

const (
	// Not specified, should not be used.
	Type_TYPE_UNSPECIFIED Type = 0
	// OpenAPI string type
	Type_STRING Type = 1
	// OpenAPI number type
	Type_NUMBER Type = 2
	// OpenAPI integer type
	Type_INTEGER Type = 3
	// OpenAPI boolean type
	Type_BOOLEAN Type = 4
	// OpenAPI array type
	Type_ARRAY Type = 5
	// OpenAPI object type
	Type_OBJECT Type = 6
)

func (Type) Descriptor 

func (Type) Descriptor() protoreflect.EnumDescriptor

func (Type) Enum 

func (x Type) Enum() *Type

func (Type) EnumDescriptor 

func (Type) EnumDescriptor() ([]byte, []int)

Deprecated: Use Type.Descriptor instead.

func (Type) Number 

func (x Type) Number() protoreflect.EnumNumber

func (Type) String 

func (x Type) String() string

func (Type) Type 

func (Type) Type() protoreflect.EnumType

type UndeployIndexOperationMetadata 

type UndeployIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].

func (*UndeployIndexOperationMetadata) Descriptor 

func (*UndeployIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UndeployIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*UndeployIndexOperationMetadata) GetGenericMetadata 

func (x *UndeployIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UndeployIndexOperationMetadata) ProtoMessage 

func (*UndeployIndexOperationMetadata) ProtoMessage()

func (*UndeployIndexOperationMetadata) ProtoReflect 

func (x *UndeployIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*UndeployIndexOperationMetadata) Reset 

func (x *UndeployIndexOperationMetadata) Reset()

func (*UndeployIndexOperationMetadata) String 

func (x *UndeployIndexOperationMetadata) String() string

type UndeployIndexRequest 

type UndeployIndexRequest struct {

	// Required. The name of the IndexEndpoint resource from which to undeploy an
	// Index. Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The ID of the DeployedIndex to be undeployed from the
	// IndexEndpoint.
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].

func (*UndeployIndexRequest) Descriptor 

func (*UndeployIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use UndeployIndexRequest.ProtoReflect.Descriptor instead.

func (*UndeployIndexRequest) GetDeployedIndexId 

func (x *UndeployIndexRequest) GetDeployedIndexId() string

func (*UndeployIndexRequest) GetIndexEndpoint 

func (x *UndeployIndexRequest) GetIndexEndpoint() string

func (*UndeployIndexRequest) ProtoMessage 

func (*UndeployIndexRequest) ProtoMessage()

func (*UndeployIndexRequest) ProtoReflect 

func (x *UndeployIndexRequest) ProtoReflect() protoreflect.Message

func (*UndeployIndexRequest) Reset 

func (x *UndeployIndexRequest) Reset()

func (*UndeployIndexRequest) String 

func (x *UndeployIndexRequest) String() string

type UndeployIndexResponse 

type UndeployIndexResponse struct {
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].

func (*UndeployIndexResponse) Descriptor 

func (*UndeployIndexResponse) Descriptor() ([]byte, []int)

Deprecated: Use UndeployIndexResponse.ProtoReflect.Descriptor instead.

func (*UndeployIndexResponse) ProtoMessage 

func (*UndeployIndexResponse) ProtoMessage()

func (*UndeployIndexResponse) ProtoReflect 

func (x *UndeployIndexResponse) ProtoReflect() protoreflect.Message

func (*UndeployIndexResponse) Reset 

func (x *UndeployIndexResponse) Reset()

func (*UndeployIndexResponse) String 

func (x *UndeployIndexResponse) String() string

type UndeployModelOperationMetadata 

type UndeployModelOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].

func (*UndeployModelOperationMetadata) Descriptor 

func (*UndeployModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UndeployModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*UndeployModelOperationMetadata) GetGenericMetadata 

func (x *UndeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UndeployModelOperationMetadata) ProtoMessage 

func (*UndeployModelOperationMetadata) ProtoMessage()

func (*UndeployModelOperationMetadata) ProtoReflect 

func (x *UndeployModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*UndeployModelOperationMetadata) Reset 

func (x *UndeployModelOperationMetadata) Reset()

func (*UndeployModelOperationMetadata) String 

func (x *UndeployModelOperationMetadata) String() string

type UndeployModelRequest 

type UndeployModelRequest struct {

	// Required. The name of the Endpoint resource from which to undeploy a Model.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The ID of the DeployedModel to be undeployed from the Endpoint.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// If this field is provided, then the Endpoint's
	// [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
	// overwritten with it. If last DeployedModel is being undeployed from the
	// Endpoint, the [Endpoint.traffic_split] will always end up empty when this
	// call returns. A DeployedModel will be successfully undeployed only if it
	// doesn't have any traffic assigned to it when this method executes, or if
	// this field unassigns any traffic to it.
	TrafficSplit map[string]int32 `protobuf:"bytes,3,rep,name=traffic_split,json=trafficSplit,proto3" json:"traffic_split,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"varint,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].

func (*UndeployModelRequest) Descriptor 

func (*UndeployModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use UndeployModelRequest.ProtoReflect.Descriptor instead.

func (*UndeployModelRequest) GetDeployedModelId 

func (x *UndeployModelRequest) GetDeployedModelId() string

func (*UndeployModelRequest) GetEndpoint 

func (x *UndeployModelRequest) GetEndpoint() string

func (*UndeployModelRequest) GetTrafficSplit 

func (x *UndeployModelRequest) GetTrafficSplit() map[string]int32

func (*UndeployModelRequest) ProtoMessage 

func (*UndeployModelRequest) ProtoMessage()

func (*UndeployModelRequest) ProtoReflect 

func (x *UndeployModelRequest) ProtoReflect() protoreflect.Message

func (*UndeployModelRequest) Reset 

func (x *UndeployModelRequest) Reset()

func (*UndeployModelRequest) String 

func (x *UndeployModelRequest) String() string

type UndeployModelResponse 

type UndeployModelResponse struct {
	// contains filtered or unexported fields
}

Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].

func (*UndeployModelResponse) Descriptor 

func (*UndeployModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use UndeployModelResponse.ProtoReflect.Descriptor instead.

func (*UndeployModelResponse) ProtoMessage 

func (*UndeployModelResponse) ProtoMessage()

func (*UndeployModelResponse) ProtoReflect 

func (x *UndeployModelResponse) ProtoReflect() protoreflect.Message

func (*UndeployModelResponse) Reset 

func (x *UndeployModelResponse) Reset()

func (*UndeployModelResponse) String 

func (x *UndeployModelResponse) String() string

type UnimplementedDatasetServiceServer 

type UnimplementedDatasetServiceServer struct {
}

UnimplementedDatasetServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedDatasetServiceServer) CreateDataset 

func (*UnimplementedDatasetServiceServer) CreateDataset(context.Context, *CreateDatasetRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) CreateDatasetVersion 

func (*UnimplementedDatasetServiceServer) CreateDatasetVersion(context.Context, *CreateDatasetVersionRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) DeleteDataset 

func (*UnimplementedDatasetServiceServer) DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) DeleteDatasetVersion 

func (*UnimplementedDatasetServiceServer) DeleteDatasetVersion(context.Context, *DeleteDatasetVersionRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) DeleteSavedQuery 

func (*UnimplementedDatasetServiceServer) DeleteSavedQuery(context.Context, *DeleteSavedQueryRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) ExportData 

func (*UnimplementedDatasetServiceServer) ExportData(context.Context, *ExportDataRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) GetAnnotationSpec 

func (*UnimplementedDatasetServiceServer) GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error)

func (*UnimplementedDatasetServiceServer) GetDataset 

func (*UnimplementedDatasetServiceServer) GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)

func (*UnimplementedDatasetServiceServer) GetDatasetVersion 

func (*UnimplementedDatasetServiceServer) GetDatasetVersion(context.Context, *GetDatasetVersionRequest) (*DatasetVersion, error)

func (*UnimplementedDatasetServiceServer) ImportData 

func (*UnimplementedDatasetServiceServer) ImportData(context.Context, *ImportDataRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) ListAnnotations 

func (*UnimplementedDatasetServiceServer) ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error)

func (*UnimplementedDatasetServiceServer) ListDataItems 

func (*UnimplementedDatasetServiceServer) ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error)

func (*UnimplementedDatasetServiceServer) ListDatasetVersions 

func (*UnimplementedDatasetServiceServer) ListDatasetVersions(context.Context, *ListDatasetVersionsRequest) (*ListDatasetVersionsResponse, error)

func (*UnimplementedDatasetServiceServer) ListDatasets 

func (*UnimplementedDatasetServiceServer) ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)

func (*UnimplementedDatasetServiceServer) ListSavedQueries 

func (*UnimplementedDatasetServiceServer) ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error)

func (*UnimplementedDatasetServiceServer) RestoreDatasetVersion 

func (*UnimplementedDatasetServiceServer) RestoreDatasetVersion(context.Context, *RestoreDatasetVersionRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) SearchDataItems 

func (*UnimplementedDatasetServiceServer) SearchDataItems(context.Context, *SearchDataItemsRequest) (*SearchDataItemsResponse, error)

func (*UnimplementedDatasetServiceServer) UpdateDataset 

func (*UnimplementedDatasetServiceServer) UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error)

func (*UnimplementedDatasetServiceServer) UpdateDatasetVersion 

func (*UnimplementedDatasetServiceServer) UpdateDatasetVersion(context.Context, *UpdateDatasetVersionRequest) (*DatasetVersion, error)

type UnimplementedDeploymentResourcePoolServiceServer 

type UnimplementedDeploymentResourcePoolServiceServer struct {
}

UnimplementedDeploymentResourcePoolServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedDeploymentResourcePoolServiceServer) CreateDeploymentResourcePool 

func (*UnimplementedDeploymentResourcePoolServiceServer) CreateDeploymentResourcePool(context.Context, *CreateDeploymentResourcePoolRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDeploymentResourcePoolServiceServer) DeleteDeploymentResourcePool 

func (*UnimplementedDeploymentResourcePoolServiceServer) DeleteDeploymentResourcePool(context.Context, *DeleteDeploymentResourcePoolRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDeploymentResourcePoolServiceServer) GetDeploymentResourcePool 

func (*UnimplementedDeploymentResourcePoolServiceServer) GetDeploymentResourcePool(context.Context, *GetDeploymentResourcePoolRequest) (*DeploymentResourcePool, error)

func (*UnimplementedDeploymentResourcePoolServiceServer) ListDeploymentResourcePools 

func (*UnimplementedDeploymentResourcePoolServiceServer) ListDeploymentResourcePools(context.Context, *ListDeploymentResourcePoolsRequest) (*ListDeploymentResourcePoolsResponse, error)

func (*UnimplementedDeploymentResourcePoolServiceServer) QueryDeployedModels 

func (*UnimplementedDeploymentResourcePoolServiceServer) QueryDeployedModels(context.Context, *QueryDeployedModelsRequest) (*QueryDeployedModelsResponse, error)

func (*UnimplementedDeploymentResourcePoolServiceServer) UpdateDeploymentResourcePool 

func (*UnimplementedDeploymentResourcePoolServiceServer) UpdateDeploymentResourcePool(context.Context, *UpdateDeploymentResourcePoolRequest) (*longrunningpb.Operation, error)

type UnimplementedEndpointServiceServer 

type UnimplementedEndpointServiceServer struct {
}

UnimplementedEndpointServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedEndpointServiceServer) CreateEndpoint 

func (*UnimplementedEndpointServiceServer) CreateEndpoint(context.Context, *CreateEndpointRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) DeleteEndpoint 

func (*UnimplementedEndpointServiceServer) DeleteEndpoint(context.Context, *DeleteEndpointRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) DeployModel 

func (*UnimplementedEndpointServiceServer) DeployModel(context.Context, *DeployModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) GetEndpoint 

func (*UnimplementedEndpointServiceServer) GetEndpoint(context.Context, *GetEndpointRequest) (*Endpoint, error)

func (*UnimplementedEndpointServiceServer) ListEndpoints 

func (*UnimplementedEndpointServiceServer) ListEndpoints(context.Context, *ListEndpointsRequest) (*ListEndpointsResponse, error)

func (*UnimplementedEndpointServiceServer) MutateDeployedModel 

func (*UnimplementedEndpointServiceServer) MutateDeployedModel(context.Context, *MutateDeployedModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) UndeployModel 

func (*UnimplementedEndpointServiceServer) UndeployModel(context.Context, *UndeployModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) UpdateEndpoint 

func (*UnimplementedEndpointServiceServer) UpdateEndpoint(context.Context, *UpdateEndpointRequest) (*Endpoint, error)

func (*UnimplementedEndpointServiceServer) UpdateEndpointLongRunning 

func (*UnimplementedEndpointServiceServer) UpdateEndpointLongRunning(context.Context, *UpdateEndpointLongRunningRequest) (*longrunningpb.Operation, error)

type UnimplementedEvaluationServiceServer 

type UnimplementedEvaluationServiceServer struct {
}

UnimplementedEvaluationServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedEvaluationServiceServer) EvaluateInstances 

func (*UnimplementedEvaluationServiceServer) EvaluateInstances(context.Context, *EvaluateInstancesRequest) (*EvaluateInstancesResponse, error)

type UnimplementedFeatureOnlineStoreAdminServiceServer 

type UnimplementedFeatureOnlineStoreAdminServiceServer struct {
}

UnimplementedFeatureOnlineStoreAdminServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) CreateFeatureOnlineStore 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) CreateFeatureOnlineStore(context.Context, *CreateFeatureOnlineStoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) CreateFeatureView 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) CreateFeatureView(context.Context, *CreateFeatureViewRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) DeleteFeatureOnlineStore 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) DeleteFeatureOnlineStore(context.Context, *DeleteFeatureOnlineStoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) DeleteFeatureView 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) DeleteFeatureView(context.Context, *DeleteFeatureViewRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) GetFeatureOnlineStore 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) GetFeatureOnlineStore(context.Context, *GetFeatureOnlineStoreRequest) (*FeatureOnlineStore, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) GetFeatureView 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) GetFeatureView(context.Context, *GetFeatureViewRequest) (*FeatureView, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) GetFeatureViewSync 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) GetFeatureViewSync(context.Context, *GetFeatureViewSyncRequest) (*FeatureViewSync, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) ListFeatureOnlineStores 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) ListFeatureOnlineStores(context.Context, *ListFeatureOnlineStoresRequest) (*ListFeatureOnlineStoresResponse, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) ListFeatureViewSyncs 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) ListFeatureViewSyncs(context.Context, *ListFeatureViewSyncsRequest) (*ListFeatureViewSyncsResponse, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) ListFeatureViews 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) ListFeatureViews(context.Context, *ListFeatureViewsRequest) (*ListFeatureViewsResponse, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) SyncFeatureView 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) SyncFeatureView(context.Context, *SyncFeatureViewRequest) (*SyncFeatureViewResponse, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) UpdateFeatureOnlineStore 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) UpdateFeatureOnlineStore(context.Context, *UpdateFeatureOnlineStoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) UpdateFeatureView 

func (*UnimplementedFeatureOnlineStoreAdminServiceServer) UpdateFeatureView(context.Context, *UpdateFeatureViewRequest) (*longrunningpb.Operation, error)

type UnimplementedFeatureOnlineStoreServiceServer 

type UnimplementedFeatureOnlineStoreServiceServer struct {
}

UnimplementedFeatureOnlineStoreServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedFeatureOnlineStoreServiceServer) FetchFeatureValues 

func (*UnimplementedFeatureOnlineStoreServiceServer) FetchFeatureValues(context.Context, *FetchFeatureValuesRequest) (*FetchFeatureValuesResponse, error)

func (*UnimplementedFeatureOnlineStoreServiceServer) SearchNearestEntities 

func (*UnimplementedFeatureOnlineStoreServiceServer) SearchNearestEntities(context.Context, *SearchNearestEntitiesRequest) (*SearchNearestEntitiesResponse, error)

type UnimplementedFeatureRegistryServiceServer 

type UnimplementedFeatureRegistryServiceServer struct {
}

UnimplementedFeatureRegistryServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedFeatureRegistryServiceServer) BatchCreateFeatures 

func (*UnimplementedFeatureRegistryServiceServer) BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureRegistryServiceServer) CreateFeature 

func (*UnimplementedFeatureRegistryServiceServer) CreateFeature(context.Context, *CreateFeatureRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureRegistryServiceServer) CreateFeatureGroup 

func (*UnimplementedFeatureRegistryServiceServer) CreateFeatureGroup(context.Context, *CreateFeatureGroupRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureRegistryServiceServer) DeleteFeature 

func (*UnimplementedFeatureRegistryServiceServer) DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureRegistryServiceServer) DeleteFeatureGroup 

func (*UnimplementedFeatureRegistryServiceServer) DeleteFeatureGroup(context.Context, *DeleteFeatureGroupRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureRegistryServiceServer) GetFeature 

func (*UnimplementedFeatureRegistryServiceServer) GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)

func (*UnimplementedFeatureRegistryServiceServer) GetFeatureGroup 

func (*UnimplementedFeatureRegistryServiceServer) GetFeatureGroup(context.Context, *GetFeatureGroupRequest) (*FeatureGroup, error)

func (*UnimplementedFeatureRegistryServiceServer) ListFeatureGroups 

func (*UnimplementedFeatureRegistryServiceServer) ListFeatureGroups(context.Context, *ListFeatureGroupsRequest) (*ListFeatureGroupsResponse, error)

func (*UnimplementedFeatureRegistryServiceServer) ListFeatures 

func (*UnimplementedFeatureRegistryServiceServer) ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)

func (*UnimplementedFeatureRegistryServiceServer) UpdateFeature 

func (*UnimplementedFeatureRegistryServiceServer) UpdateFeature(context.Context, *UpdateFeatureRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeatureRegistryServiceServer) UpdateFeatureGroup 

func (*UnimplementedFeatureRegistryServiceServer) UpdateFeatureGroup(context.Context, *UpdateFeatureGroupRequest) (*longrunningpb.Operation, error)

type UnimplementedFeaturestoreOnlineServingServiceServer 

type UnimplementedFeaturestoreOnlineServingServiceServer struct {
}

UnimplementedFeaturestoreOnlineServingServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedFeaturestoreOnlineServingServiceServer) ReadFeatureValues 

func (*UnimplementedFeaturestoreOnlineServingServiceServer) ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error)

func (*UnimplementedFeaturestoreOnlineServingServiceServer) StreamingReadFeatureValues 

func (*UnimplementedFeaturestoreOnlineServingServiceServer) StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error

func (*UnimplementedFeaturestoreOnlineServingServiceServer) WriteFeatureValues 

func (*UnimplementedFeaturestoreOnlineServingServiceServer) WriteFeatureValues(context.Context, *WriteFeatureValuesRequest) (*WriteFeatureValuesResponse, error)

type UnimplementedFeaturestoreServiceServer 

type UnimplementedFeaturestoreServiceServer struct {
}

UnimplementedFeaturestoreServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedFeaturestoreServiceServer) BatchCreateFeatures 

func (*UnimplementedFeaturestoreServiceServer) BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) BatchReadFeatureValues 

func (*UnimplementedFeaturestoreServiceServer) BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) CreateEntityType 

func (*UnimplementedFeaturestoreServiceServer) CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) CreateFeature 

func (*UnimplementedFeaturestoreServiceServer) CreateFeature(context.Context, *CreateFeatureRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) CreateFeaturestore 

func (*UnimplementedFeaturestoreServiceServer) CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteEntityType 

func (*UnimplementedFeaturestoreServiceServer) DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteFeature 

func (*UnimplementedFeaturestoreServiceServer) DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteFeatureValues 

func (*UnimplementedFeaturestoreServiceServer) DeleteFeatureValues(context.Context, *DeleteFeatureValuesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteFeaturestore 

func (*UnimplementedFeaturestoreServiceServer) DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) ExportFeatureValues 

func (*UnimplementedFeaturestoreServiceServer) ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) GetEntityType 

func (*UnimplementedFeaturestoreServiceServer) GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error)

func (*UnimplementedFeaturestoreServiceServer) GetFeature 

func (*UnimplementedFeaturestoreServiceServer) GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)

func (*UnimplementedFeaturestoreServiceServer) GetFeaturestore 

func (*UnimplementedFeaturestoreServiceServer) GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error)

func (*UnimplementedFeaturestoreServiceServer) ImportFeatureValues 

func (*UnimplementedFeaturestoreServiceServer) ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) ListEntityTypes 

func (*UnimplementedFeaturestoreServiceServer) ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error)

func (*UnimplementedFeaturestoreServiceServer) ListFeatures 

func (*UnimplementedFeaturestoreServiceServer) ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)

func (*UnimplementedFeaturestoreServiceServer) ListFeaturestores 

func (*UnimplementedFeaturestoreServiceServer) ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error)

func (*UnimplementedFeaturestoreServiceServer) SearchFeatures 

func (*UnimplementedFeaturestoreServiceServer) SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error)

func (*UnimplementedFeaturestoreServiceServer) UpdateEntityType 

func (*UnimplementedFeaturestoreServiceServer) UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error)

func (*UnimplementedFeaturestoreServiceServer) UpdateFeature 

func (*UnimplementedFeaturestoreServiceServer) UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error)

func (*UnimplementedFeaturestoreServiceServer) UpdateFeaturestore 

func (*UnimplementedFeaturestoreServiceServer) UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunningpb.Operation, error)

type UnimplementedGenAiCacheServiceServer 

type UnimplementedGenAiCacheServiceServer struct {
}

UnimplementedGenAiCacheServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedGenAiCacheServiceServer) CreateCachedContent 

func (*UnimplementedGenAiCacheServiceServer) CreateCachedContent(context.Context, *CreateCachedContentRequest) (*CachedContent, error)

func (*UnimplementedGenAiCacheServiceServer) DeleteCachedContent 

func (*UnimplementedGenAiCacheServiceServer) DeleteCachedContent(context.Context, *DeleteCachedContentRequest) (*emptypb.Empty, error)

func (*UnimplementedGenAiCacheServiceServer) GetCachedContent 

func (*UnimplementedGenAiCacheServiceServer) GetCachedContent(context.Context, *GetCachedContentRequest) (*CachedContent, error)

func (*UnimplementedGenAiCacheServiceServer) ListCachedContents 

func (*UnimplementedGenAiCacheServiceServer) ListCachedContents(context.Context, *ListCachedContentsRequest) (*ListCachedContentsResponse, error)

func (*UnimplementedGenAiCacheServiceServer) UpdateCachedContent 

func (*UnimplementedGenAiCacheServiceServer) UpdateCachedContent(context.Context, *UpdateCachedContentRequest) (*CachedContent, error)

type UnimplementedGenAiTuningServiceServer 

type UnimplementedGenAiTuningServiceServer struct {
}

UnimplementedGenAiTuningServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedGenAiTuningServiceServer) CancelTuningJob 

func (*UnimplementedGenAiTuningServiceServer) CancelTuningJob(context.Context, *CancelTuningJobRequest) (*emptypb.Empty, error)

func (*UnimplementedGenAiTuningServiceServer) CreateTuningJob 

func (*UnimplementedGenAiTuningServiceServer) CreateTuningJob(context.Context, *CreateTuningJobRequest) (*TuningJob, error)

func (*UnimplementedGenAiTuningServiceServer) GetTuningJob 

func (*UnimplementedGenAiTuningServiceServer) GetTuningJob(context.Context, *GetTuningJobRequest) (*TuningJob, error)

func (*UnimplementedGenAiTuningServiceServer) ListTuningJobs 

func (*UnimplementedGenAiTuningServiceServer) ListTuningJobs(context.Context, *ListTuningJobsRequest) (*ListTuningJobsResponse, error)

func (*UnimplementedGenAiTuningServiceServer) RebaseTunedModel 

func (*UnimplementedGenAiTuningServiceServer) RebaseTunedModel(context.Context, *RebaseTunedModelRequest) (*longrunningpb.Operation, error)

type UnimplementedIndexEndpointServiceServer 

type UnimplementedIndexEndpointServiceServer struct {
}

UnimplementedIndexEndpointServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedIndexEndpointServiceServer) CreateIndexEndpoint 

func (*UnimplementedIndexEndpointServiceServer) CreateIndexEndpoint(context.Context, *CreateIndexEndpointRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) DeleteIndexEndpoint 

func (*UnimplementedIndexEndpointServiceServer) DeleteIndexEndpoint(context.Context, *DeleteIndexEndpointRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) DeployIndex 

func (*UnimplementedIndexEndpointServiceServer) DeployIndex(context.Context, *DeployIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) GetIndexEndpoint 

func (*UnimplementedIndexEndpointServiceServer) GetIndexEndpoint(context.Context, *GetIndexEndpointRequest) (*IndexEndpoint, error)

func (*UnimplementedIndexEndpointServiceServer) ListIndexEndpoints 

func (*UnimplementedIndexEndpointServiceServer) ListIndexEndpoints(context.Context, *ListIndexEndpointsRequest) (*ListIndexEndpointsResponse, error)

func (*UnimplementedIndexEndpointServiceServer) MutateDeployedIndex 

func (*UnimplementedIndexEndpointServiceServer) MutateDeployedIndex(context.Context, *MutateDeployedIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) UndeployIndex 

func (*UnimplementedIndexEndpointServiceServer) UndeployIndex(context.Context, *UndeployIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) UpdateIndexEndpoint 

func (*UnimplementedIndexEndpointServiceServer) UpdateIndexEndpoint(context.Context, *UpdateIndexEndpointRequest) (*IndexEndpoint, error)

type UnimplementedIndexServiceServer 

type UnimplementedIndexServiceServer struct {
}

UnimplementedIndexServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedIndexServiceServer) CreateIndex 

func (*UnimplementedIndexServiceServer) CreateIndex(context.Context, *CreateIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexServiceServer) DeleteIndex 

func (*UnimplementedIndexServiceServer) DeleteIndex(context.Context, *DeleteIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexServiceServer) GetIndex 

func (*UnimplementedIndexServiceServer) GetIndex(context.Context, *GetIndexRequest) (*Index, error)

func (*UnimplementedIndexServiceServer) ListIndexes 

func (*UnimplementedIndexServiceServer) ListIndexes(context.Context, *ListIndexesRequest) (*ListIndexesResponse, error)

func (*UnimplementedIndexServiceServer) RemoveDatapoints 

func (*UnimplementedIndexServiceServer) RemoveDatapoints(context.Context, *RemoveDatapointsRequest) (*RemoveDatapointsResponse, error)

func (*UnimplementedIndexServiceServer) UpdateIndex 

func (*UnimplementedIndexServiceServer) UpdateIndex(context.Context, *UpdateIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexServiceServer) UpsertDatapoints 

func (*UnimplementedIndexServiceServer) UpsertDatapoints(context.Context, *UpsertDatapointsRequest) (*UpsertDatapointsResponse, error)

type UnimplementedJobServiceServer 

type UnimplementedJobServiceServer struct {
}

UnimplementedJobServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedJobServiceServer) CancelBatchPredictionJob 

func (*UnimplementedJobServiceServer) CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelCustomJob 

func (*UnimplementedJobServiceServer) CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelDataLabelingJob 

func (*UnimplementedJobServiceServer) CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelHyperparameterTuningJob 

func (*UnimplementedJobServiceServer) CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelNasJob 

func (*UnimplementedJobServiceServer) CancelNasJob(context.Context, *CancelNasJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CreateBatchPredictionJob 

func (*UnimplementedJobServiceServer) CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error)

func (*UnimplementedJobServiceServer) CreateCustomJob 

func (*UnimplementedJobServiceServer) CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error)

func (*UnimplementedJobServiceServer) CreateDataLabelingJob 

func (*UnimplementedJobServiceServer) CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error)

func (*UnimplementedJobServiceServer) CreateHyperparameterTuningJob 

func (*UnimplementedJobServiceServer) CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)

func (*UnimplementedJobServiceServer) CreateModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)

func (*UnimplementedJobServiceServer) CreateNasJob 

func (*UnimplementedJobServiceServer) CreateNasJob(context.Context, *CreateNasJobRequest) (*NasJob, error)

func (*UnimplementedJobServiceServer) DeleteBatchPredictionJob 

func (*UnimplementedJobServiceServer) DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteCustomJob 

func (*UnimplementedJobServiceServer) DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteDataLabelingJob 

func (*UnimplementedJobServiceServer) DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteHyperparameterTuningJob 

func (*UnimplementedJobServiceServer) DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteNasJob 

func (*UnimplementedJobServiceServer) DeleteNasJob(context.Context, *DeleteNasJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) GetBatchPredictionJob 

func (*UnimplementedJobServiceServer) GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error)

func (*UnimplementedJobServiceServer) GetCustomJob 

func (*UnimplementedJobServiceServer) GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error)

func (*UnimplementedJobServiceServer) GetDataLabelingJob 

func (*UnimplementedJobServiceServer) GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error)

func (*UnimplementedJobServiceServer) GetHyperparameterTuningJob 

func (*UnimplementedJobServiceServer) GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)

func (*UnimplementedJobServiceServer) GetModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)

func (*UnimplementedJobServiceServer) GetNasJob 

func (*UnimplementedJobServiceServer) GetNasJob(context.Context, *GetNasJobRequest) (*NasJob, error)

func (*UnimplementedJobServiceServer) GetNasTrialDetail 

func (*UnimplementedJobServiceServer) GetNasTrialDetail(context.Context, *GetNasTrialDetailRequest) (*NasTrialDetail, error)

func (*UnimplementedJobServiceServer) ListBatchPredictionJobs 

func (*UnimplementedJobServiceServer) ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error)

func (*UnimplementedJobServiceServer) ListCustomJobs 

func (*UnimplementedJobServiceServer) ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error)

func (*UnimplementedJobServiceServer) ListDataLabelingJobs 

func (*UnimplementedJobServiceServer) ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error)

func (*UnimplementedJobServiceServer) ListHyperparameterTuningJobs 

func (*UnimplementedJobServiceServer) ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error)

func (*UnimplementedJobServiceServer) ListModelDeploymentMonitoringJobs 

func (*UnimplementedJobServiceServer) ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error)

func (*UnimplementedJobServiceServer) ListNasJobs 

func (*UnimplementedJobServiceServer) ListNasJobs(context.Context, *ListNasJobsRequest) (*ListNasJobsResponse, error)

func (*UnimplementedJobServiceServer) ListNasTrialDetails 

func (*UnimplementedJobServiceServer) ListNasTrialDetails(context.Context, *ListNasTrialDetailsRequest) (*ListNasTrialDetailsResponse, error)

func (*UnimplementedJobServiceServer) PauseModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) ResumeModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) SearchModelDeploymentMonitoringStatsAnomalies 

func (*UnimplementedJobServiceServer) SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)

func (*UnimplementedJobServiceServer) UpdateModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunningpb.Operation, error)

type UnimplementedLlmUtilityServiceServer 

type UnimplementedLlmUtilityServiceServer struct {
}

UnimplementedLlmUtilityServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedLlmUtilityServiceServer) ComputeTokens 

func (*UnimplementedLlmUtilityServiceServer) ComputeTokens(context.Context, *ComputeTokensRequest) (*ComputeTokensResponse, error)

func (*UnimplementedLlmUtilityServiceServer) CountTokens 

func (*UnimplementedLlmUtilityServiceServer) CountTokens(context.Context, *CountTokensRequest) (*CountTokensResponse, error)

type UnimplementedMatchServiceServer 

type UnimplementedMatchServiceServer struct {
}

UnimplementedMatchServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedMatchServiceServer) FindNeighbors 

func (*UnimplementedMatchServiceServer) FindNeighbors(context.Context, *FindNeighborsRequest) (*FindNeighborsResponse, error)

func (*UnimplementedMatchServiceServer) ReadIndexDatapoints 

func (*UnimplementedMatchServiceServer) ReadIndexDatapoints(context.Context, *ReadIndexDatapointsRequest) (*ReadIndexDatapointsResponse, error)

type UnimplementedMetadataServiceServer 

type UnimplementedMetadataServiceServer struct {
}

UnimplementedMetadataServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedMetadataServiceServer) AddContextArtifactsAndExecutions 

func (*UnimplementedMetadataServiceServer) AddContextArtifactsAndExecutions(context.Context, *AddContextArtifactsAndExecutionsRequest) (*AddContextArtifactsAndExecutionsResponse, error)

func (*UnimplementedMetadataServiceServer) AddContextChildren 

func (*UnimplementedMetadataServiceServer) AddContextChildren(context.Context, *AddContextChildrenRequest) (*AddContextChildrenResponse, error)

func (*UnimplementedMetadataServiceServer) AddExecutionEvents 

func (*UnimplementedMetadataServiceServer) AddExecutionEvents(context.Context, *AddExecutionEventsRequest) (*AddExecutionEventsResponse, error)

func (*UnimplementedMetadataServiceServer) CreateArtifact 

func (*UnimplementedMetadataServiceServer) CreateArtifact(context.Context, *CreateArtifactRequest) (*Artifact, error)

func (*UnimplementedMetadataServiceServer) CreateContext 

func (*UnimplementedMetadataServiceServer) CreateContext(context.Context, *CreateContextRequest) (*Context, error)

func (*UnimplementedMetadataServiceServer) CreateExecution 

func (*UnimplementedMetadataServiceServer) CreateExecution(context.Context, *CreateExecutionRequest) (*Execution, error)

func (*UnimplementedMetadataServiceServer) CreateMetadataSchema 

func (*UnimplementedMetadataServiceServer) CreateMetadataSchema(context.Context, *CreateMetadataSchemaRequest) (*MetadataSchema, error)

func (*UnimplementedMetadataServiceServer) CreateMetadataStore 

func (*UnimplementedMetadataServiceServer) CreateMetadataStore(context.Context, *CreateMetadataStoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteArtifact 

func (*UnimplementedMetadataServiceServer) DeleteArtifact(context.Context, *DeleteArtifactRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteContext 

func (*UnimplementedMetadataServiceServer) DeleteContext(context.Context, *DeleteContextRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteExecution 

func (*UnimplementedMetadataServiceServer) DeleteExecution(context.Context, *DeleteExecutionRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteMetadataStore 

func (*UnimplementedMetadataServiceServer) DeleteMetadataStore(context.Context, *DeleteMetadataStoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) GetArtifact 

func (*UnimplementedMetadataServiceServer) GetArtifact(context.Context, *GetArtifactRequest) (*Artifact, error)

func (*UnimplementedMetadataServiceServer) GetContext 

func (*UnimplementedMetadataServiceServer) GetContext(context.Context, *GetContextRequest) (*Context, error)

func (*UnimplementedMetadataServiceServer) GetExecution 

func (*UnimplementedMetadataServiceServer) GetExecution(context.Context, *GetExecutionRequest) (*Execution, error)

func (*UnimplementedMetadataServiceServer) GetMetadataSchema 

func (*UnimplementedMetadataServiceServer) GetMetadataSchema(context.Context, *GetMetadataSchemaRequest) (*MetadataSchema, error)

func (*UnimplementedMetadataServiceServer) GetMetadataStore 

func (*UnimplementedMetadataServiceServer) GetMetadataStore(context.Context, *GetMetadataStoreRequest) (*MetadataStore, error)

func (*UnimplementedMetadataServiceServer) ListArtifacts 

func (*UnimplementedMetadataServiceServer) ListArtifacts(context.Context, *ListArtifactsRequest) (*ListArtifactsResponse, error)

func (*UnimplementedMetadataServiceServer) ListContexts 

func (*UnimplementedMetadataServiceServer) ListContexts(context.Context, *ListContextsRequest) (*ListContextsResponse, error)

func (*UnimplementedMetadataServiceServer) ListExecutions 

func (*UnimplementedMetadataServiceServer) ListExecutions(context.Context, *ListExecutionsRequest) (*ListExecutionsResponse, error)

func (*UnimplementedMetadataServiceServer) ListMetadataSchemas 

func (*UnimplementedMetadataServiceServer) ListMetadataSchemas(context.Context, *ListMetadataSchemasRequest) (*ListMetadataSchemasResponse, error)

func (*UnimplementedMetadataServiceServer) ListMetadataStores 

func (*UnimplementedMetadataServiceServer) ListMetadataStores(context.Context, *ListMetadataStoresRequest) (*ListMetadataStoresResponse, error)

func (*UnimplementedMetadataServiceServer) PurgeArtifacts 

func (*UnimplementedMetadataServiceServer) PurgeArtifacts(context.Context, *PurgeArtifactsRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) PurgeContexts 

func (*UnimplementedMetadataServiceServer) PurgeContexts(context.Context, *PurgeContextsRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) PurgeExecutions 

func (*UnimplementedMetadataServiceServer) PurgeExecutions(context.Context, *PurgeExecutionsRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) QueryArtifactLineageSubgraph 

func (*UnimplementedMetadataServiceServer) QueryArtifactLineageSubgraph(context.Context, *QueryArtifactLineageSubgraphRequest) (*LineageSubgraph, error)

func (*UnimplementedMetadataServiceServer) QueryContextLineageSubgraph 

func (*UnimplementedMetadataServiceServer) QueryContextLineageSubgraph(context.Context, *QueryContextLineageSubgraphRequest) (*LineageSubgraph, error)

func (*UnimplementedMetadataServiceServer) QueryExecutionInputsAndOutputs 

func (*UnimplementedMetadataServiceServer) QueryExecutionInputsAndOutputs(context.Context, *QueryExecutionInputsAndOutputsRequest) (*LineageSubgraph, error)

func (*UnimplementedMetadataServiceServer) RemoveContextChildren 

func (*UnimplementedMetadataServiceServer) RemoveContextChildren(context.Context, *RemoveContextChildrenRequest) (*RemoveContextChildrenResponse, error)

func (*UnimplementedMetadataServiceServer) UpdateArtifact 

func (*UnimplementedMetadataServiceServer) UpdateArtifact(context.Context, *UpdateArtifactRequest) (*Artifact, error)

func (*UnimplementedMetadataServiceServer) UpdateContext 

func (*UnimplementedMetadataServiceServer) UpdateContext(context.Context, *UpdateContextRequest) (*Context, error)

func (*UnimplementedMetadataServiceServer) UpdateExecution 

func (*UnimplementedMetadataServiceServer) UpdateExecution(context.Context, *UpdateExecutionRequest) (*Execution, error)

type UnimplementedMigrationServiceServer 

type UnimplementedMigrationServiceServer struct {
}

UnimplementedMigrationServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedMigrationServiceServer) BatchMigrateResources 

func (*UnimplementedMigrationServiceServer) BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMigrationServiceServer) SearchMigratableResources 

func (*UnimplementedMigrationServiceServer) SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error)

type UnimplementedModelGardenServiceServer 

type UnimplementedModelGardenServiceServer struct {
}

UnimplementedModelGardenServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedModelGardenServiceServer) GetPublisherModel 

func (*UnimplementedModelGardenServiceServer) GetPublisherModel(context.Context, *GetPublisherModelRequest) (*PublisherModel, error)

type UnimplementedModelServiceServer 

type UnimplementedModelServiceServer struct {
}

UnimplementedModelServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedModelServiceServer) BatchImportEvaluatedAnnotations 

func (*UnimplementedModelServiceServer) BatchImportEvaluatedAnnotations(context.Context, *BatchImportEvaluatedAnnotationsRequest) (*BatchImportEvaluatedAnnotationsResponse, error)

func (*UnimplementedModelServiceServer) BatchImportModelEvaluationSlices 

func (*UnimplementedModelServiceServer) BatchImportModelEvaluationSlices(context.Context, *BatchImportModelEvaluationSlicesRequest) (*BatchImportModelEvaluationSlicesResponse, error)

func (*UnimplementedModelServiceServer) CopyModel 

func (*UnimplementedModelServiceServer) CopyModel(context.Context, *CopyModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedModelServiceServer) DeleteModel 

func (*UnimplementedModelServiceServer) DeleteModel(context.Context, *DeleteModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedModelServiceServer) DeleteModelVersion 

func (*UnimplementedModelServiceServer) DeleteModelVersion(context.Context, *DeleteModelVersionRequest) (*longrunningpb.Operation, error)

func (*UnimplementedModelServiceServer) ExportModel 

func (*UnimplementedModelServiceServer) ExportModel(context.Context, *ExportModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedModelServiceServer) GetModel 

func (*UnimplementedModelServiceServer) GetModel(context.Context, *GetModelRequest) (*Model, error)

func (*UnimplementedModelServiceServer) GetModelEvaluation 

func (*UnimplementedModelServiceServer) GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)

func (*UnimplementedModelServiceServer) GetModelEvaluationSlice 

func (*UnimplementedModelServiceServer) GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error)

func (*UnimplementedModelServiceServer) ImportModelEvaluation 

func (*UnimplementedModelServiceServer) ImportModelEvaluation(context.Context, *ImportModelEvaluationRequest) (*ModelEvaluation, error)

func (*UnimplementedModelServiceServer) ListModelEvaluationSlices 

func (*UnimplementedModelServiceServer) ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error)

func (*UnimplementedModelServiceServer) ListModelEvaluations 

func (*UnimplementedModelServiceServer) ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)

func (*UnimplementedModelServiceServer) ListModelVersionCheckpoints 

func (*UnimplementedModelServiceServer) ListModelVersionCheckpoints(context.Context, *ListModelVersionCheckpointsRequest) (*ListModelVersionCheckpointsResponse, error)

func (*UnimplementedModelServiceServer) ListModelVersions 

func (*UnimplementedModelServiceServer) ListModelVersions(context.Context, *ListModelVersionsRequest) (*ListModelVersionsResponse, error)

func (*UnimplementedModelServiceServer) ListModels 

func (*UnimplementedModelServiceServer) ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)

func (*UnimplementedModelServiceServer) MergeVersionAliases 

func (*UnimplementedModelServiceServer) MergeVersionAliases(context.Context, *MergeVersionAliasesRequest) (*Model, error)

func (*UnimplementedModelServiceServer) UpdateExplanationDataset 

func (*UnimplementedModelServiceServer) UpdateExplanationDataset(context.Context, *UpdateExplanationDatasetRequest) (*longrunningpb.Operation, error)

func (*UnimplementedModelServiceServer) UpdateModel 

func (*UnimplementedModelServiceServer) UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)

func (*UnimplementedModelServiceServer) UploadModel 

func (*UnimplementedModelServiceServer) UploadModel(context.Context, *UploadModelRequest) (*longrunningpb.Operation, error)

type UnimplementedNotebookServiceServer 

type UnimplementedNotebookServiceServer struct {
}

UnimplementedNotebookServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedNotebookServiceServer) AssignNotebookRuntime 

func (*UnimplementedNotebookServiceServer) AssignNotebookRuntime(context.Context, *AssignNotebookRuntimeRequest) (*longrunningpb.Operation, error)

func (*UnimplementedNotebookServiceServer) CreateNotebookExecutionJob 

func (*UnimplementedNotebookServiceServer) CreateNotebookExecutionJob(context.Context, *CreateNotebookExecutionJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedNotebookServiceServer) CreateNotebookRuntimeTemplate 

func (*UnimplementedNotebookServiceServer) CreateNotebookRuntimeTemplate(context.Context, *CreateNotebookRuntimeTemplateRequest) (*longrunningpb.Operation, error)

func (*UnimplementedNotebookServiceServer) DeleteNotebookExecutionJob 

func (*UnimplementedNotebookServiceServer) DeleteNotebookExecutionJob(context.Context, *DeleteNotebookExecutionJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedNotebookServiceServer) DeleteNotebookRuntime 

func (*UnimplementedNotebookServiceServer) DeleteNotebookRuntime(context.Context, *DeleteNotebookRuntimeRequest) (*longrunningpb.Operation, error)

func (*UnimplementedNotebookServiceServer) DeleteNotebookRuntimeTemplate 

func (*UnimplementedNotebookServiceServer) DeleteNotebookRuntimeTemplate(context.Context, *DeleteNotebookRuntimeTemplateRequest) (*longrunningpb.Operation, error)

func (*UnimplementedNotebookServiceServer) GetNotebookExecutionJob 

func (*UnimplementedNotebookServiceServer) GetNotebookExecutionJob(context.Context, *GetNotebookExecutionJobRequest) (*NotebookExecutionJob, error)

func (*UnimplementedNotebookServiceServer) GetNotebookRuntime 

func (*UnimplementedNotebookServiceServer) GetNotebookRuntime(context.Context, *GetNotebookRuntimeRequest) (*NotebookRuntime, error)

func (*UnimplementedNotebookServiceServer) GetNotebookRuntimeTemplate 

func (*UnimplementedNotebookServiceServer) GetNotebookRuntimeTemplate(context.Context, *GetNotebookRuntimeTemplateRequest) (*NotebookRuntimeTemplate, error)

func (*UnimplementedNotebookServiceServer) ListNotebookExecutionJobs 

func (*UnimplementedNotebookServiceServer) ListNotebookExecutionJobs(context.Context, *ListNotebookExecutionJobsRequest) (*ListNotebookExecutionJobsResponse, error)

func (*UnimplementedNotebookServiceServer) ListNotebookRuntimeTemplates 

func (*UnimplementedNotebookServiceServer) ListNotebookRuntimeTemplates(context.Context, *ListNotebookRuntimeTemplatesRequest) (*ListNotebookRuntimeTemplatesResponse, error)

func (*UnimplementedNotebookServiceServer) ListNotebookRuntimes 

func (*UnimplementedNotebookServiceServer) ListNotebookRuntimes(context.Context, *ListNotebookRuntimesRequest) (*ListNotebookRuntimesResponse, error)

func (*UnimplementedNotebookServiceServer) StartNotebookRuntime 

func (*UnimplementedNotebookServiceServer) StartNotebookRuntime(context.Context, *StartNotebookRuntimeRequest) (*longrunningpb.Operation, error)

func (*UnimplementedNotebookServiceServer) StopNotebookRuntime 

func (*UnimplementedNotebookServiceServer) StopNotebookRuntime(context.Context, *StopNotebookRuntimeRequest) (*longrunningpb.Operation, error)

func (*UnimplementedNotebookServiceServer) UpdateNotebookRuntimeTemplate 

func (*UnimplementedNotebookServiceServer) UpdateNotebookRuntimeTemplate(context.Context, *UpdateNotebookRuntimeTemplateRequest) (*NotebookRuntimeTemplate, error)

func (*UnimplementedNotebookServiceServer) UpgradeNotebookRuntime 

func (*UnimplementedNotebookServiceServer) UpgradeNotebookRuntime(context.Context, *UpgradeNotebookRuntimeRequest) (*longrunningpb.Operation, error)

type UnimplementedPersistentResourceServiceServer 

type UnimplementedPersistentResourceServiceServer struct {
}

UnimplementedPersistentResourceServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedPersistentResourceServiceServer) CreatePersistentResource 

func (*UnimplementedPersistentResourceServiceServer) CreatePersistentResource(context.Context, *CreatePersistentResourceRequest) (*longrunningpb.Operation, error)

func (*UnimplementedPersistentResourceServiceServer) DeletePersistentResource 

func (*UnimplementedPersistentResourceServiceServer) DeletePersistentResource(context.Context, *DeletePersistentResourceRequest) (*longrunningpb.Operation, error)

func (*UnimplementedPersistentResourceServiceServer) GetPersistentResource 

func (*UnimplementedPersistentResourceServiceServer) GetPersistentResource(context.Context, *GetPersistentResourceRequest) (*PersistentResource, error)

func (*UnimplementedPersistentResourceServiceServer) ListPersistentResources 

func (*UnimplementedPersistentResourceServiceServer) ListPersistentResources(context.Context, *ListPersistentResourcesRequest) (*ListPersistentResourcesResponse, error)

func (*UnimplementedPersistentResourceServiceServer) RebootPersistentResource 

func (*UnimplementedPersistentResourceServiceServer) RebootPersistentResource(context.Context, *RebootPersistentResourceRequest) (*longrunningpb.Operation, error)

func (*UnimplementedPersistentResourceServiceServer) UpdatePersistentResource 

func (*UnimplementedPersistentResourceServiceServer) UpdatePersistentResource(context.Context, *UpdatePersistentResourceRequest) (*longrunningpb.Operation, error)

type UnimplementedPipelineServiceServer 

type UnimplementedPipelineServiceServer struct {
}

UnimplementedPipelineServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedPipelineServiceServer) BatchCancelPipelineJobs 

func (*UnimplementedPipelineServiceServer) BatchCancelPipelineJobs(context.Context, *BatchCancelPipelineJobsRequest) (*longrunningpb.Operation, error)

func (*UnimplementedPipelineServiceServer) BatchDeletePipelineJobs 

func (*UnimplementedPipelineServiceServer) BatchDeletePipelineJobs(context.Context, *BatchDeletePipelineJobsRequest) (*longrunningpb.Operation, error)

func (*UnimplementedPipelineServiceServer) CancelPipelineJob 

func (*UnimplementedPipelineServiceServer) CancelPipelineJob(context.Context, *CancelPipelineJobRequest) (*emptypb.Empty, error)

func (*UnimplementedPipelineServiceServer) CancelTrainingPipeline 

func (*UnimplementedPipelineServiceServer) CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error)

func (*UnimplementedPipelineServiceServer) CreatePipelineJob 

func (*UnimplementedPipelineServiceServer) CreatePipelineJob(context.Context, *CreatePipelineJobRequest) (*PipelineJob, error)

func (*UnimplementedPipelineServiceServer) CreateTrainingPipeline 

func (*UnimplementedPipelineServiceServer) CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error)

func (*UnimplementedPipelineServiceServer) DeletePipelineJob 

func (*UnimplementedPipelineServiceServer) DeletePipelineJob(context.Context, *DeletePipelineJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedPipelineServiceServer) DeleteTrainingPipeline 

func (*UnimplementedPipelineServiceServer) DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunningpb.Operation, error)

func (*UnimplementedPipelineServiceServer) GetPipelineJob 

func (*UnimplementedPipelineServiceServer) GetPipelineJob(context.Context, *GetPipelineJobRequest) (*PipelineJob, error)

func (*UnimplementedPipelineServiceServer) GetTrainingPipeline 

func (*UnimplementedPipelineServiceServer) GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error)

func (*UnimplementedPipelineServiceServer) ListPipelineJobs 

func (*UnimplementedPipelineServiceServer) ListPipelineJobs(context.Context, *ListPipelineJobsRequest) (*ListPipelineJobsResponse, error)

func (*UnimplementedPipelineServiceServer) ListTrainingPipelines 

func (*UnimplementedPipelineServiceServer) ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error)

type UnimplementedPredictionServiceServer 

type UnimplementedPredictionServiceServer struct {
}

UnimplementedPredictionServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedPredictionServiceServer) DirectPredict 

func (*UnimplementedPredictionServiceServer) DirectPredict(context.Context, *DirectPredictRequest) (*DirectPredictResponse, error)

func (*UnimplementedPredictionServiceServer) DirectRawPredict 

func (*UnimplementedPredictionServiceServer) DirectRawPredict(context.Context, *DirectRawPredictRequest) (*DirectRawPredictResponse, error)

func (*UnimplementedPredictionServiceServer) Explain 

func (*UnimplementedPredictionServiceServer) Explain(context.Context, *ExplainRequest) (*ExplainResponse, error)

func (*UnimplementedPredictionServiceServer) GenerateContent 

func (*UnimplementedPredictionServiceServer) GenerateContent(context.Context, *GenerateContentRequest) (*GenerateContentResponse, error)

func (*UnimplementedPredictionServiceServer) Predict 

func (*UnimplementedPredictionServiceServer) Predict(context.Context, *PredictRequest) (*PredictResponse, error)

func (*UnimplementedPredictionServiceServer) RawPredict 

func (*UnimplementedPredictionServiceServer) RawPredict(context.Context, *RawPredictRequest) (*httpbody.HttpBody, error)

func (*UnimplementedPredictionServiceServer) ServerStreamingPredict 

func (*UnimplementedPredictionServiceServer) ServerStreamingPredict(*StreamingPredictRequest, PredictionService_ServerStreamingPredictServer) error

func (*UnimplementedPredictionServiceServer) StreamDirectPredict 

func (*UnimplementedPredictionServiceServer) StreamDirectPredict(PredictionService_StreamDirectPredictServer) error

func (*UnimplementedPredictionServiceServer) StreamDirectRawPredict 

func (*UnimplementedPredictionServiceServer) StreamDirectRawPredict(PredictionService_StreamDirectRawPredictServer) error

func (*UnimplementedPredictionServiceServer) StreamGenerateContent 

func (*UnimplementedPredictionServiceServer) StreamGenerateContent(*GenerateContentRequest, PredictionService_StreamGenerateContentServer) error

func (*UnimplementedPredictionServiceServer) StreamRawPredict 

func (*UnimplementedPredictionServiceServer) StreamRawPredict(*StreamRawPredictRequest, PredictionService_StreamRawPredictServer) error

func (*UnimplementedPredictionServiceServer) StreamingPredict 

func (*UnimplementedPredictionServiceServer) StreamingPredict(PredictionService_StreamingPredictServer) error

func (*UnimplementedPredictionServiceServer) StreamingRawPredict 

func (*UnimplementedPredictionServiceServer) StreamingRawPredict(PredictionService_StreamingRawPredictServer) error

type UnimplementedReasoningEngineExecutionServiceServer 

type UnimplementedReasoningEngineExecutionServiceServer struct {
}

UnimplementedReasoningEngineExecutionServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedReasoningEngineExecutionServiceServer) QueryReasoningEngine 

func (*UnimplementedReasoningEngineExecutionServiceServer) QueryReasoningEngine(context.Context, *QueryReasoningEngineRequest) (*QueryReasoningEngineResponse, error)

func (*UnimplementedReasoningEngineExecutionServiceServer) StreamQueryReasoningEngine 

func (*UnimplementedReasoningEngineExecutionServiceServer) StreamQueryReasoningEngine(*StreamQueryReasoningEngineRequest, ReasoningEngineExecutionService_StreamQueryReasoningEngineServer) error

type UnimplementedReasoningEngineServiceServer 

type UnimplementedReasoningEngineServiceServer struct {
}

UnimplementedReasoningEngineServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedReasoningEngineServiceServer) CreateReasoningEngine 

func (*UnimplementedReasoningEngineServiceServer) CreateReasoningEngine(context.Context, *CreateReasoningEngineRequest) (*longrunningpb.Operation, error)

func (*UnimplementedReasoningEngineServiceServer) DeleteReasoningEngine 

func (*UnimplementedReasoningEngineServiceServer) DeleteReasoningEngine(context.Context, *DeleteReasoningEngineRequest) (*longrunningpb.Operation, error)

func (*UnimplementedReasoningEngineServiceServer) GetReasoningEngine 

func (*UnimplementedReasoningEngineServiceServer) GetReasoningEngine(context.Context, *GetReasoningEngineRequest) (*ReasoningEngine, error)

func (*UnimplementedReasoningEngineServiceServer) ListReasoningEngines 

func (*UnimplementedReasoningEngineServiceServer) ListReasoningEngines(context.Context, *ListReasoningEnginesRequest) (*ListReasoningEnginesResponse, error)

func (*UnimplementedReasoningEngineServiceServer) UpdateReasoningEngine 

func (*UnimplementedReasoningEngineServiceServer) UpdateReasoningEngine(context.Context, *UpdateReasoningEngineRequest) (*longrunningpb.Operation, error)

type UnimplementedScheduleServiceServer 

type UnimplementedScheduleServiceServer struct {
}

UnimplementedScheduleServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedScheduleServiceServer) CreateSchedule 

func (*UnimplementedScheduleServiceServer) CreateSchedule(context.Context, *CreateScheduleRequest) (*Schedule, error)

func (*UnimplementedScheduleServiceServer) DeleteSchedule 

func (*UnimplementedScheduleServiceServer) DeleteSchedule(context.Context, *DeleteScheduleRequest) (*longrunningpb.Operation, error)

func (*UnimplementedScheduleServiceServer) GetSchedule 

func (*UnimplementedScheduleServiceServer) GetSchedule(context.Context, *GetScheduleRequest) (*Schedule, error)

func (*UnimplementedScheduleServiceServer) ListSchedules 

func (*UnimplementedScheduleServiceServer) ListSchedules(context.Context, *ListSchedulesRequest) (*ListSchedulesResponse, error)

func (*UnimplementedScheduleServiceServer) PauseSchedule 

func (*UnimplementedScheduleServiceServer) PauseSchedule(context.Context, *PauseScheduleRequest) (*emptypb.Empty, error)

func (*UnimplementedScheduleServiceServer) ResumeSchedule 

func (*UnimplementedScheduleServiceServer) ResumeSchedule(context.Context, *ResumeScheduleRequest) (*emptypb.Empty, error)

func (*UnimplementedScheduleServiceServer) UpdateSchedule 

func (*UnimplementedScheduleServiceServer) UpdateSchedule(context.Context, *UpdateScheduleRequest) (*Schedule, error)

type UnimplementedSpecialistPoolServiceServer 

type UnimplementedSpecialistPoolServiceServer struct {
}

UnimplementedSpecialistPoolServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedSpecialistPoolServiceServer) CreateSpecialistPool 

func (*UnimplementedSpecialistPoolServiceServer) CreateSpecialistPool(context.Context, *CreateSpecialistPoolRequest) (*longrunningpb.Operation, error)

func (*UnimplementedSpecialistPoolServiceServer) DeleteSpecialistPool 

func (*UnimplementedSpecialistPoolServiceServer) DeleteSpecialistPool(context.Context, *DeleteSpecialistPoolRequest) (*longrunningpb.Operation, error)

func (*UnimplementedSpecialistPoolServiceServer) GetSpecialistPool 

func (*UnimplementedSpecialistPoolServiceServer) GetSpecialistPool(context.Context, *GetSpecialistPoolRequest) (*SpecialistPool, error)

func (*UnimplementedSpecialistPoolServiceServer) ListSpecialistPools 

func (*UnimplementedSpecialistPoolServiceServer) ListSpecialistPools(context.Context, *ListSpecialistPoolsRequest) (*ListSpecialistPoolsResponse, error)

func (*UnimplementedSpecialistPoolServiceServer) UpdateSpecialistPool 

func (*UnimplementedSpecialistPoolServiceServer) UpdateSpecialistPool(context.Context, *UpdateSpecialistPoolRequest) (*longrunningpb.Operation, error)

type UnimplementedTensorboardServiceServer 

type UnimplementedTensorboardServiceServer struct {
}

UnimplementedTensorboardServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardRuns 

func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error)

func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error)

func (*UnimplementedTensorboardServiceServer) BatchReadTensorboardTimeSeriesData 

func (*UnimplementedTensorboardServiceServer) BatchReadTensorboardTimeSeriesData(context.Context, *BatchReadTensorboardTimeSeriesDataRequest) (*BatchReadTensorboardTimeSeriesDataResponse, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboard 

func (*UnimplementedTensorboardServiceServer) CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment 

func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun 

func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboard 

func (*UnimplementedTensorboardServiceServer) DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment 

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun 

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) ExportTensorboardTimeSeriesData 

func (*UnimplementedTensorboardServiceServer) ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboard 

func (*UnimplementedTensorboardServiceServer) GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboardExperiment 

func (*UnimplementedTensorboardServiceServer) GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboardRun 

func (*UnimplementedTensorboardServiceServer) GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboardExperiments 

func (*UnimplementedTensorboardServiceServer) ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns 

func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboards 

func (*UnimplementedTensorboardServiceServer) ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error)

func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData 

func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error

func (*UnimplementedTensorboardServiceServer) ReadTensorboardSize 

func (*UnimplementedTensorboardServiceServer) ReadTensorboardSize(context.Context, *ReadTensorboardSizeRequest) (*ReadTensorboardSizeResponse, error)

func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData 

func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error)

func (*UnimplementedTensorboardServiceServer) ReadTensorboardUsage 

func (*UnimplementedTensorboardServiceServer) ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboard 

func (*UnimplementedTensorboardServiceServer) UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardExperiment 

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardRun 

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)

func (*UnimplementedTensorboardServiceServer) WriteTensorboardExperimentData 

func (*UnimplementedTensorboardServiceServer) WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error)

func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData 

func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error)

type UnimplementedVertexRagDataServiceServer 

type UnimplementedVertexRagDataServiceServer struct {
}

UnimplementedVertexRagDataServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedVertexRagDataServiceServer) CreateRagCorpus 

func (*UnimplementedVertexRagDataServiceServer) CreateRagCorpus(context.Context, *CreateRagCorpusRequest) (*longrunningpb.Operation, error)

func (*UnimplementedVertexRagDataServiceServer) DeleteRagCorpus 

func (*UnimplementedVertexRagDataServiceServer) DeleteRagCorpus(context.Context, *DeleteRagCorpusRequest) (*longrunningpb.Operation, error)

func (*UnimplementedVertexRagDataServiceServer) DeleteRagFile 

func (*UnimplementedVertexRagDataServiceServer) DeleteRagFile(context.Context, *DeleteRagFileRequest) (*longrunningpb.Operation, error)

func (*UnimplementedVertexRagDataServiceServer) GetRagCorpus 

func (*UnimplementedVertexRagDataServiceServer) GetRagCorpus(context.Context, *GetRagCorpusRequest) (*RagCorpus, error)

func (*UnimplementedVertexRagDataServiceServer) GetRagFile 

func (*UnimplementedVertexRagDataServiceServer) GetRagFile(context.Context, *GetRagFileRequest) (*RagFile, error)

func (*UnimplementedVertexRagDataServiceServer) ImportRagFiles 

func (*UnimplementedVertexRagDataServiceServer) ImportRagFiles(context.Context, *ImportRagFilesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedVertexRagDataServiceServer) ListRagCorpora 

func (*UnimplementedVertexRagDataServiceServer) ListRagCorpora(context.Context, *ListRagCorporaRequest) (*ListRagCorporaResponse, error)

func (*UnimplementedVertexRagDataServiceServer) ListRagFiles 

func (*UnimplementedVertexRagDataServiceServer) ListRagFiles(context.Context, *ListRagFilesRequest) (*ListRagFilesResponse, error)

func (*UnimplementedVertexRagDataServiceServer) UpdateRagCorpus 

func (*UnimplementedVertexRagDataServiceServer) UpdateRagCorpus(context.Context, *UpdateRagCorpusRequest) (*longrunningpb.Operation, error)

func (*UnimplementedVertexRagDataServiceServer) UploadRagFile 

func (*UnimplementedVertexRagDataServiceServer) UploadRagFile(context.Context, *UploadRagFileRequest) (*UploadRagFileResponse, error)

type UnimplementedVertexRagServiceServer 

type UnimplementedVertexRagServiceServer struct {
}

UnimplementedVertexRagServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedVertexRagServiceServer) AugmentPrompt 

func (*UnimplementedVertexRagServiceServer) AugmentPrompt(context.Context, *AugmentPromptRequest) (*AugmentPromptResponse, error)

func (*UnimplementedVertexRagServiceServer) CorroborateContent 

func (*UnimplementedVertexRagServiceServer) CorroborateContent(context.Context, *CorroborateContentRequest) (*CorroborateContentResponse, error)

func (*UnimplementedVertexRagServiceServer) RetrieveContexts 

func (*UnimplementedVertexRagServiceServer) RetrieveContexts(context.Context, *RetrieveContextsRequest) (*RetrieveContextsResponse, error)

type UnimplementedVizierServiceServer 

type UnimplementedVizierServiceServer struct {
}

UnimplementedVizierServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedVizierServiceServer) AddTrialMeasurement 

func (*UnimplementedVizierServiceServer) AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) CheckTrialEarlyStoppingState 

func (*UnimplementedVizierServiceServer) CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunningpb.Operation, error)

func (*UnimplementedVizierServiceServer) CompleteTrial 

func (*UnimplementedVizierServiceServer) CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) CreateStudy 

func (*UnimplementedVizierServiceServer) CreateStudy(context.Context, *CreateStudyRequest) (*Study, error)

func (*UnimplementedVizierServiceServer) CreateTrial 

func (*UnimplementedVizierServiceServer) CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) DeleteStudy 

func (*UnimplementedVizierServiceServer) DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error)

func (*UnimplementedVizierServiceServer) DeleteTrial 

func (*UnimplementedVizierServiceServer) DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error)

func (*UnimplementedVizierServiceServer) GetStudy 

func (*UnimplementedVizierServiceServer) GetStudy(context.Context, *GetStudyRequest) (*Study, error)

func (*UnimplementedVizierServiceServer) GetTrial 

func (*UnimplementedVizierServiceServer) GetTrial(context.Context, *GetTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) ListOptimalTrials 

func (*UnimplementedVizierServiceServer) ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error)

func (*UnimplementedVizierServiceServer) ListStudies 

func (*UnimplementedVizierServiceServer) ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error)

func (*UnimplementedVizierServiceServer) ListTrials 

func (*UnimplementedVizierServiceServer) ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error)

func (*UnimplementedVizierServiceServer) LookupStudy 

func (*UnimplementedVizierServiceServer) LookupStudy(context.Context, *LookupStudyRequest) (*Study, error)

func (*UnimplementedVizierServiceServer) StopTrial 

func (*UnimplementedVizierServiceServer) StopTrial(context.Context, *StopTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) SuggestTrials 

func (*UnimplementedVizierServiceServer) SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunningpb.Operation, error)

type UnmanagedContainerModel 

type UnmanagedContainerModel struct {

	// The path to the directory containing the Model artifact and any of its
	// supporting files.
	ArtifactUri string `protobuf:"bytes,1,opt,name=artifact_uri,json=artifactUri,proto3" json:"artifact_uri,omitempty"`
	// Contains the schemata used in Model's predictions and explanations
	PredictSchemata *PredictSchemata `protobuf:"bytes,2,opt,name=predict_schemata,json=predictSchemata,proto3" json:"predict_schemata,omitempty"`
	// Input only. The specification of the container that is to be used when
	// deploying this Model.
	ContainerSpec *ModelContainerSpec `protobuf:"bytes,3,opt,name=container_spec,json=containerSpec,proto3" json:"container_spec,omitempty"`
	// contains filtered or unexported fields
}

Contains model information necessary to perform batch prediction without requiring a full model import.

func (*UnmanagedContainerModel) Descriptor 

func (*UnmanagedContainerModel) Descriptor() ([]byte, []int)

Deprecated: Use UnmanagedContainerModel.ProtoReflect.Descriptor instead.

func (*UnmanagedContainerModel) GetArtifactUri 

func (x *UnmanagedContainerModel) GetArtifactUri() string

func (*UnmanagedContainerModel) GetContainerSpec 

func (x *UnmanagedContainerModel) GetContainerSpec() *ModelContainerSpec

func (*UnmanagedContainerModel) GetPredictSchemata 

func (x *UnmanagedContainerModel) GetPredictSchemata() *PredictSchemata

func (*UnmanagedContainerModel) ProtoMessage 

func (*UnmanagedContainerModel) ProtoMessage()

func (*UnmanagedContainerModel) ProtoReflect 

func (x *UnmanagedContainerModel) ProtoReflect() protoreflect.Message

func (*UnmanagedContainerModel) Reset 

func (x *UnmanagedContainerModel) Reset()

func (*UnmanagedContainerModel) String 

func (x *UnmanagedContainerModel) String() string

type UpdateArtifactRequest 

type UpdateArtifactRequest struct {

	// Required. The Artifact containing updates.
	// The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
	// field is used to identify the Artifact to be updated. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	Artifact *Artifact `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// Optional. A FieldMask indicating which fields should be updated.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
	// not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
	// created.
	AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].

func (*UpdateArtifactRequest) Descriptor 

func (*UpdateArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateArtifactRequest.ProtoReflect.Descriptor instead.

func (*UpdateArtifactRequest) GetAllowMissing 

func (x *UpdateArtifactRequest) GetAllowMissing() bool

func (*UpdateArtifactRequest) GetArtifact 

func (x *UpdateArtifactRequest) GetArtifact() *Artifact

func (*UpdateArtifactRequest) GetUpdateMask 

func (x *UpdateArtifactRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateArtifactRequest) ProtoMessage 

func (*UpdateArtifactRequest) ProtoMessage()

func (*UpdateArtifactRequest) ProtoReflect 

func (x *UpdateArtifactRequest) ProtoReflect() protoreflect.Message

func (*UpdateArtifactRequest) Reset 

func (x *UpdateArtifactRequest) Reset()

func (*UpdateArtifactRequest) String 

func (x *UpdateArtifactRequest) String() string

type UpdateCachedContentRequest 

type UpdateCachedContentRequest struct {

	// Required. The cached content to update
	CachedContent *CachedContent `protobuf:"bytes,1,opt,name=cached_content,json=cachedContent,proto3" json:"cached_content,omitempty"`
	// Required. The list of fields to update.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [GenAiCacheService.UpdateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.UpdateCachedContent]. Only expire_time or ttl can be updated.

func (*UpdateCachedContentRequest) Descriptor 

func (*UpdateCachedContentRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateCachedContentRequest.ProtoReflect.Descriptor instead.

func (*UpdateCachedContentRequest) GetCachedContent 

func (x *UpdateCachedContentRequest) GetCachedContent() *CachedContent

func (*UpdateCachedContentRequest) GetUpdateMask 

func (x *UpdateCachedContentRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateCachedContentRequest) ProtoMessage 

func (*UpdateCachedContentRequest) ProtoMessage()

func (*UpdateCachedContentRequest) ProtoReflect 

func (x *UpdateCachedContentRequest) ProtoReflect() protoreflect.Message

func (*UpdateCachedContentRequest) Reset 

func (x *UpdateCachedContentRequest) Reset()

func (*UpdateCachedContentRequest) String 

func (x *UpdateCachedContentRequest) String() string

type UpdateContextRequest 

type UpdateContextRequest struct {

	// Required. The Context containing updates.
	// The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
	// is used to identify the Context to be updated. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Context *Context `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// Optional. A FieldMask indicating which fields should be updated.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
	// not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
	AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].

func (*UpdateContextRequest) Descriptor 

func (*UpdateContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateContextRequest.ProtoReflect.Descriptor instead.

func (*UpdateContextRequest) GetAllowMissing 

func (x *UpdateContextRequest) GetAllowMissing() bool

func (*UpdateContextRequest) GetContext 

func (x *UpdateContextRequest) GetContext() *Context

func (*UpdateContextRequest) GetUpdateMask 

func (x *UpdateContextRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateContextRequest) ProtoMessage 

func (*UpdateContextRequest) ProtoMessage()

func (*UpdateContextRequest) ProtoReflect 

func (x *UpdateContextRequest) ProtoReflect() protoreflect.Message

func (*UpdateContextRequest) Reset 

func (x *UpdateContextRequest) Reset()

func (*UpdateContextRequest) String 

func (x *UpdateContextRequest) String() string

type UpdateDatasetRequest 

type UpdateDatasetRequest struct {

	// Required. The Dataset which replaces the resource on the server.
	Dataset *Dataset `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see
	// [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
	//
	//   - `display_name`
	//   - `description`
	//   - `labels`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].

func (*UpdateDatasetRequest) Descriptor 

func (*UpdateDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateDatasetRequest.ProtoReflect.Descriptor instead.

func (*UpdateDatasetRequest) GetDataset 

func (x *UpdateDatasetRequest) GetDataset() *Dataset

func (*UpdateDatasetRequest) GetUpdateMask 

func (x *UpdateDatasetRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateDatasetRequest) ProtoMessage 

func (*UpdateDatasetRequest) ProtoMessage()

func (*UpdateDatasetRequest) ProtoReflect 

func (x *UpdateDatasetRequest) ProtoReflect() protoreflect.Message

func (*UpdateDatasetRequest) Reset 

func (x *UpdateDatasetRequest) Reset()

func (*UpdateDatasetRequest) String 

func (x *UpdateDatasetRequest) String() string

type UpdateDatasetVersionRequest 

type UpdateDatasetVersionRequest struct {

	// Required. The DatasetVersion which replaces the resource on the server.
	DatasetVersion *DatasetVersion `protobuf:"bytes,1,opt,name=dataset_version,json=datasetVersion,proto3" json:"dataset_version,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see
	// [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
	//
	//   - `display_name`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.UpdateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.UpdateDatasetVersion].

func (*UpdateDatasetVersionRequest) Descriptor 

func (*UpdateDatasetVersionRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateDatasetVersionRequest.ProtoReflect.Descriptor instead.

func (*UpdateDatasetVersionRequest) GetDatasetVersion 

func (x *UpdateDatasetVersionRequest) GetDatasetVersion() *DatasetVersion

func (*UpdateDatasetVersionRequest) GetUpdateMask 

func (x *UpdateDatasetVersionRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateDatasetVersionRequest) ProtoMessage 

func (*UpdateDatasetVersionRequest) ProtoMessage()

func (*UpdateDatasetVersionRequest) ProtoReflect 

func (x *UpdateDatasetVersionRequest) ProtoReflect() protoreflect.Message

func (*UpdateDatasetVersionRequest) Reset 

func (x *UpdateDatasetVersionRequest) Reset()

func (*UpdateDatasetVersionRequest) String 

func (x *UpdateDatasetVersionRequest) String() string

type UpdateDeploymentResourcePoolOperationMetadata 

type UpdateDeploymentResourcePoolOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for UpdateDeploymentResourcePool method.

func (*UpdateDeploymentResourcePoolOperationMetadata) Descriptor 

func (*UpdateDeploymentResourcePoolOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateDeploymentResourcePoolOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateDeploymentResourcePoolOperationMetadata) GetGenericMetadata 

func (x *UpdateDeploymentResourcePoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateDeploymentResourcePoolOperationMetadata) ProtoMessage 

func (*UpdateDeploymentResourcePoolOperationMetadata) ProtoMessage()

func (*UpdateDeploymentResourcePoolOperationMetadata) ProtoReflect 

func (x *UpdateDeploymentResourcePoolOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateDeploymentResourcePoolOperationMetadata) Reset 

func (x *UpdateDeploymentResourcePoolOperationMetadata) Reset()

func (*UpdateDeploymentResourcePoolOperationMetadata) String 

func (x *UpdateDeploymentResourcePoolOperationMetadata) String() string

type UpdateDeploymentResourcePoolRequest 

type UpdateDeploymentResourcePoolRequest struct {

	// Required. The DeploymentResourcePool to update.
	//
	// The DeploymentResourcePool's `name` field is used to identify the
	// DeploymentResourcePool to update.
	// Format:
	// `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
	DeploymentResourcePool *DeploymentResourcePool `protobuf:"bytes,1,opt,name=deployment_resource_pool,json=deploymentResourcePool,proto3" json:"deployment_resource_pool,omitempty"`
	// Required. The list of fields to update.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for UpdateDeploymentResourcePool method.

func (*UpdateDeploymentResourcePoolRequest) Descriptor 

func (*UpdateDeploymentResourcePoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateDeploymentResourcePoolRequest.ProtoReflect.Descriptor instead.

func (*UpdateDeploymentResourcePoolRequest) GetDeploymentResourcePool 

func (x *UpdateDeploymentResourcePoolRequest) GetDeploymentResourcePool() *DeploymentResourcePool

func (*UpdateDeploymentResourcePoolRequest) GetUpdateMask 

func (x *UpdateDeploymentResourcePoolRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateDeploymentResourcePoolRequest) ProtoMessage 

func (*UpdateDeploymentResourcePoolRequest) ProtoMessage()

func (*UpdateDeploymentResourcePoolRequest) ProtoReflect 

func (x *UpdateDeploymentResourcePoolRequest) ProtoReflect() protoreflect.Message

func (*UpdateDeploymentResourcePoolRequest) Reset 

func (x *UpdateDeploymentResourcePoolRequest) Reset()

func (*UpdateDeploymentResourcePoolRequest) String 

func (x *UpdateDeploymentResourcePoolRequest) String() string

type UpdateEndpointLongRunningRequest 

type UpdateEndpointLongRunningRequest struct {

	// Required. The Endpoint which replaces the resource on the server. Currently
	// we only support updating the `client_connection_config` field, all the
	// other fields' update will be blocked.
	Endpoint *Endpoint `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].

func (*UpdateEndpointLongRunningRequest) Descriptor 

func (*UpdateEndpointLongRunningRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateEndpointLongRunningRequest.ProtoReflect.Descriptor instead.

func (*UpdateEndpointLongRunningRequest) GetEndpoint 

func (x *UpdateEndpointLongRunningRequest) GetEndpoint() *Endpoint

func (*UpdateEndpointLongRunningRequest) ProtoMessage 

func (*UpdateEndpointLongRunningRequest) ProtoMessage()

func (*UpdateEndpointLongRunningRequest) ProtoReflect 

func (x *UpdateEndpointLongRunningRequest) ProtoReflect() protoreflect.Message

func (*UpdateEndpointLongRunningRequest) Reset 

func (x *UpdateEndpointLongRunningRequest) Reset()

func (*UpdateEndpointLongRunningRequest) String 

func (x *UpdateEndpointLongRunningRequest) String() string

type UpdateEndpointOperationMetadata 

type UpdateEndpointOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].

func (*UpdateEndpointOperationMetadata) Descriptor 

func (*UpdateEndpointOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateEndpointOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateEndpointOperationMetadata) GetGenericMetadata 

func (x *UpdateEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateEndpointOperationMetadata) ProtoMessage 

func (*UpdateEndpointOperationMetadata) ProtoMessage()

func (*UpdateEndpointOperationMetadata) ProtoReflect 

func (x *UpdateEndpointOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateEndpointOperationMetadata) Reset 

func (x *UpdateEndpointOperationMetadata) Reset()

func (*UpdateEndpointOperationMetadata) String 

func (x *UpdateEndpointOperationMetadata) String() string

type UpdateEndpointRequest 

type UpdateEndpointRequest struct {

	// Required. The Endpoint which replaces the resource on the server.
	Endpoint *Endpoint `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The update mask applies to the resource. See
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].

func (*UpdateEndpointRequest) Descriptor 

func (*UpdateEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateEndpointRequest.ProtoReflect.Descriptor instead.

func (*UpdateEndpointRequest) GetEndpoint 

func (x *UpdateEndpointRequest) GetEndpoint() *Endpoint

func (*UpdateEndpointRequest) GetUpdateMask 

func (x *UpdateEndpointRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateEndpointRequest) ProtoMessage 

func (*UpdateEndpointRequest) ProtoMessage()

func (*UpdateEndpointRequest) ProtoReflect 

func (x *UpdateEndpointRequest) ProtoReflect() protoreflect.Message

func (*UpdateEndpointRequest) Reset 

func (x *UpdateEndpointRequest) Reset()

func (*UpdateEndpointRequest) String 

func (x *UpdateEndpointRequest) String() string

type UpdateEntityTypeRequest 

type UpdateEntityTypeRequest struct {

	// Required. The EntityType's `name` field is used to identify the EntityType
	// to be updated. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	EntityType *EntityType `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// EntityType resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   - `description`
	//   - `labels`
	//   - `monitoring_config.snapshot_analysis.disabled`
	//   - `monitoring_config.snapshot_analysis.monitoring_interval_days`
	//   - `monitoring_config.snapshot_analysis.staleness_days`
	//   - `monitoring_config.import_features_analysis.state`
	//   - `monitoring_config.import_features_analysis.anomaly_detection_baseline`
	//   - `monitoring_config.numerical_threshold_config.value`
	//   - `monitoring_config.categorical_threshold_config.value`
	//   - `offline_storage_ttl_days`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].

func (*UpdateEntityTypeRequest) Descriptor 

func (*UpdateEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*UpdateEntityTypeRequest) GetEntityType 

func (x *UpdateEntityTypeRequest) GetEntityType() *EntityType

func (*UpdateEntityTypeRequest) GetUpdateMask 

func (x *UpdateEntityTypeRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateEntityTypeRequest) ProtoMessage 

func (*UpdateEntityTypeRequest) ProtoMessage()

func (*UpdateEntityTypeRequest) ProtoReflect 

func (x *UpdateEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*UpdateEntityTypeRequest) Reset 

func (x *UpdateEntityTypeRequest) Reset()

func (*UpdateEntityTypeRequest) String 

func (x *UpdateEntityTypeRequest) String() string

type UpdateExecutionRequest 

type UpdateExecutionRequest struct {

	// Required. The Execution containing updates.
	// The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
	// field is used to identify the Execution to be updated. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Execution *Execution `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
	// Optional. A FieldMask indicating which fields should be updated.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
	// is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
	// created.
	AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].

func (*UpdateExecutionRequest) Descriptor 

func (*UpdateExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateExecutionRequest.ProtoReflect.Descriptor instead.

func (*UpdateExecutionRequest) GetAllowMissing 

func (x *UpdateExecutionRequest) GetAllowMissing() bool

func (*UpdateExecutionRequest) GetExecution 

func (x *UpdateExecutionRequest) GetExecution() *Execution

func (*UpdateExecutionRequest) GetUpdateMask 

func (x *UpdateExecutionRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateExecutionRequest) ProtoMessage 

func (*UpdateExecutionRequest) ProtoMessage()

func (*UpdateExecutionRequest) ProtoReflect 

func (x *UpdateExecutionRequest) ProtoReflect() protoreflect.Message

func (*UpdateExecutionRequest) Reset 

func (x *UpdateExecutionRequest) Reset()

func (*UpdateExecutionRequest) String 

func (x *UpdateExecutionRequest) String() string

type UpdateExplanationDatasetOperationMetadata 

type UpdateExplanationDatasetOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset].

func (*UpdateExplanationDatasetOperationMetadata) Descriptor 

func (*UpdateExplanationDatasetOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateExplanationDatasetOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateExplanationDatasetOperationMetadata) GetGenericMetadata 

func (x *UpdateExplanationDatasetOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateExplanationDatasetOperationMetadata) ProtoMessage 

func (*UpdateExplanationDatasetOperationMetadata) ProtoMessage()

func (*UpdateExplanationDatasetOperationMetadata) ProtoReflect 

func (x *UpdateExplanationDatasetOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateExplanationDatasetOperationMetadata) Reset 

func (x *UpdateExplanationDatasetOperationMetadata) Reset()

func (*UpdateExplanationDatasetOperationMetadata) String 

func (x *UpdateExplanationDatasetOperationMetadata) String() string

type UpdateExplanationDatasetRequest 

type UpdateExplanationDatasetRequest struct {

	// Required. The resource name of the Model to update.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// The example config containing the location of the dataset.
	Examples *Examples `protobuf:"bytes,2,opt,name=examples,proto3" json:"examples,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset].

func (*UpdateExplanationDatasetRequest) Descriptor 

func (*UpdateExplanationDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateExplanationDatasetRequest.ProtoReflect.Descriptor instead.

func (*UpdateExplanationDatasetRequest) GetExamples 

func (x *UpdateExplanationDatasetRequest) GetExamples() *Examples

func (*UpdateExplanationDatasetRequest) GetModel 

func (x *UpdateExplanationDatasetRequest) GetModel() string

func (*UpdateExplanationDatasetRequest) ProtoMessage 

func (*UpdateExplanationDatasetRequest) ProtoMessage()

func (*UpdateExplanationDatasetRequest) ProtoReflect 

func (x *UpdateExplanationDatasetRequest) ProtoReflect() protoreflect.Message

func (*UpdateExplanationDatasetRequest) Reset 

func (x *UpdateExplanationDatasetRequest) Reset()

func (*UpdateExplanationDatasetRequest) String 

func (x *UpdateExplanationDatasetRequest) String() string

type UpdateExplanationDatasetResponse 

type UpdateExplanationDatasetResponse struct {
	// contains filtered or unexported fields
}

Response message of [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset] operation.

func (*UpdateExplanationDatasetResponse) Descriptor 

func (*UpdateExplanationDatasetResponse) Descriptor() ([]byte, []int)

Deprecated: Use UpdateExplanationDatasetResponse.ProtoReflect.Descriptor instead.

func (*UpdateExplanationDatasetResponse) ProtoMessage 

func (*UpdateExplanationDatasetResponse) ProtoMessage()

func (*UpdateExplanationDatasetResponse) ProtoReflect 

func (x *UpdateExplanationDatasetResponse) ProtoReflect() protoreflect.Message

func (*UpdateExplanationDatasetResponse) Reset 

func (x *UpdateExplanationDatasetResponse) Reset()

func (*UpdateExplanationDatasetResponse) String 

func (x *UpdateExplanationDatasetResponse) String() string

type UpdateFeatureGroupOperationMetadata 

type UpdateFeatureGroupOperationMetadata struct {

	// Operation metadata for FeatureGroup.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update FeatureGroup.

func (*UpdateFeatureGroupOperationMetadata) Descriptor 

func (*UpdateFeatureGroupOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureGroupOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateFeatureGroupOperationMetadata) GetGenericMetadata 

func (x *UpdateFeatureGroupOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateFeatureGroupOperationMetadata) ProtoMessage 

func (*UpdateFeatureGroupOperationMetadata) ProtoMessage()

func (*UpdateFeatureGroupOperationMetadata) ProtoReflect 

func (x *UpdateFeatureGroupOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateFeatureGroupOperationMetadata) Reset 

func (x *UpdateFeatureGroupOperationMetadata) Reset()

func (*UpdateFeatureGroupOperationMetadata) String 

func (x *UpdateFeatureGroupOperationMetadata) String() string

type UpdateFeatureGroupRequest 

type UpdateFeatureGroupRequest struct {

	// Required. The FeatureGroup's `name` field is used to identify the
	// FeatureGroup to be updated. Format:
	// `projects/{project}/locations/{location}/featureGroups/{feature_group}`
	FeatureGroup *FeatureGroup `protobuf:"bytes,1,opt,name=feature_group,json=featureGroup,proto3" json:"feature_group,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// FeatureGroup resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   - `labels`
	//   - `description`
	//   - `big_query`
	//   - `big_query.entity_id_columns`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureRegistryService.UpdateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeatureGroup].

func (*UpdateFeatureGroupRequest) Descriptor 

func (*UpdateFeatureGroupRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureGroupRequest.ProtoReflect.Descriptor instead.

func (*UpdateFeatureGroupRequest) GetFeatureGroup 

func (x *UpdateFeatureGroupRequest) GetFeatureGroup() *FeatureGroup

func (*UpdateFeatureGroupRequest) GetUpdateMask 

func (x *UpdateFeatureGroupRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateFeatureGroupRequest) ProtoMessage 

func (*UpdateFeatureGroupRequest) ProtoMessage()

func (*UpdateFeatureGroupRequest) ProtoReflect 

func (x *UpdateFeatureGroupRequest) ProtoReflect() protoreflect.Message

func (*UpdateFeatureGroupRequest) Reset 

func (x *UpdateFeatureGroupRequest) Reset()

func (*UpdateFeatureGroupRequest) String 

func (x *UpdateFeatureGroupRequest) String() string

type UpdateFeatureOnlineStoreOperationMetadata 

type UpdateFeatureOnlineStoreOperationMetadata struct {

	// Operation metadata for FeatureOnlineStore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update FeatureOnlineStore.

func (*UpdateFeatureOnlineStoreOperationMetadata) Descriptor 

func (*UpdateFeatureOnlineStoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureOnlineStoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateFeatureOnlineStoreOperationMetadata) GetGenericMetadata 

func (x *UpdateFeatureOnlineStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateFeatureOnlineStoreOperationMetadata) ProtoMessage 

func (*UpdateFeatureOnlineStoreOperationMetadata) ProtoMessage()

func (*UpdateFeatureOnlineStoreOperationMetadata) ProtoReflect 

func (x *UpdateFeatureOnlineStoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateFeatureOnlineStoreOperationMetadata) Reset 

func (x *UpdateFeatureOnlineStoreOperationMetadata) Reset()

func (*UpdateFeatureOnlineStoreOperationMetadata) String 

func (x *UpdateFeatureOnlineStoreOperationMetadata) String() string

type UpdateFeatureOnlineStoreRequest 

type UpdateFeatureOnlineStoreRequest struct {

	// Required. The FeatureOnlineStore's `name` field is used to identify the
	// FeatureOnlineStore to be updated. Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`
	FeatureOnlineStore *FeatureOnlineStore `protobuf:"bytes,1,opt,name=feature_online_store,json=featureOnlineStore,proto3" json:"feature_online_store,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// FeatureOnlineStore resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   - `labels`
	//   - `description`
	//   - `bigtable`
	//   - `bigtable.auto_scaling`
	//   - `bigtable.enable_multi_region_replica`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore].

func (*UpdateFeatureOnlineStoreRequest) Descriptor 

func (*UpdateFeatureOnlineStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureOnlineStoreRequest.ProtoReflect.Descriptor instead.

func (*UpdateFeatureOnlineStoreRequest) GetFeatureOnlineStore 

func (x *UpdateFeatureOnlineStoreRequest) GetFeatureOnlineStore() *FeatureOnlineStore

func (*UpdateFeatureOnlineStoreRequest) GetUpdateMask 

func (x *UpdateFeatureOnlineStoreRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateFeatureOnlineStoreRequest) ProtoMessage 

func (*UpdateFeatureOnlineStoreRequest) ProtoMessage()

func (*UpdateFeatureOnlineStoreRequest) ProtoReflect 

func (x *UpdateFeatureOnlineStoreRequest) ProtoReflect() protoreflect.Message

func (*UpdateFeatureOnlineStoreRequest) Reset 

func (x *UpdateFeatureOnlineStoreRequest) Reset()

func (*UpdateFeatureOnlineStoreRequest) String 

func (x *UpdateFeatureOnlineStoreRequest) String() string

type UpdateFeatureOperationMetadata 

type UpdateFeatureOperationMetadata struct {

	// Operation metadata for Feature Update.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update Feature.

func (*UpdateFeatureOperationMetadata) Descriptor 

func (*UpdateFeatureOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateFeatureOperationMetadata) GetGenericMetadata 

func (x *UpdateFeatureOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateFeatureOperationMetadata) ProtoMessage 

func (*UpdateFeatureOperationMetadata) ProtoMessage()

func (*UpdateFeatureOperationMetadata) ProtoReflect 

func (x *UpdateFeatureOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateFeatureOperationMetadata) Reset 

func (x *UpdateFeatureOperationMetadata) Reset()

func (*UpdateFeatureOperationMetadata) String 

func (x *UpdateFeatureOperationMetadata) String() string

type UpdateFeatureRequest 

type UpdateFeatureRequest struct {

	// Required. The Feature's `name` field is used to identify the Feature to be
	// updated.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
	// `projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`
	Feature *Feature `protobuf:"bytes,1,opt,name=feature,proto3" json:"feature,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// Features resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   - `description`
	//   - `labels`
	//   - `disable_monitoring` (Not supported for FeatureRegistryService Feature)
	//   - `point_of_contact` (Not supported for FeaturestoreService FeatureStore)
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature]. Request message for [FeatureRegistryService.UpdateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeature].

func (*UpdateFeatureRequest) Descriptor 

func (*UpdateFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureRequest.ProtoReflect.Descriptor instead.

func (*UpdateFeatureRequest) GetFeature 

func (x *UpdateFeatureRequest) GetFeature() *Feature

func (*UpdateFeatureRequest) GetUpdateMask 

func (x *UpdateFeatureRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateFeatureRequest) ProtoMessage 

func (*UpdateFeatureRequest) ProtoMessage()

func (*UpdateFeatureRequest) ProtoReflect 

func (x *UpdateFeatureRequest) ProtoReflect() protoreflect.Message

func (*UpdateFeatureRequest) Reset 

func (x *UpdateFeatureRequest) Reset()

func (*UpdateFeatureRequest) String 

func (x *UpdateFeatureRequest) String() string

type UpdateFeatureViewOperationMetadata 

type UpdateFeatureViewOperationMetadata struct {

	// Operation metadata for FeatureView Update.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update FeatureView.

func (*UpdateFeatureViewOperationMetadata) Descriptor 

func (*UpdateFeatureViewOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureViewOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateFeatureViewOperationMetadata) GetGenericMetadata 

func (x *UpdateFeatureViewOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateFeatureViewOperationMetadata) ProtoMessage 

func (*UpdateFeatureViewOperationMetadata) ProtoMessage()

func (*UpdateFeatureViewOperationMetadata) ProtoReflect 

func (x *UpdateFeatureViewOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateFeatureViewOperationMetadata) Reset 

func (x *UpdateFeatureViewOperationMetadata) Reset()

func (*UpdateFeatureViewOperationMetadata) String 

func (x *UpdateFeatureViewOperationMetadata) String() string

type UpdateFeatureViewRequest 

type UpdateFeatureViewRequest struct {

	// Required. The FeatureView's `name` field is used to identify the
	// FeatureView to be updated. Format:
	// `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
	FeatureView *FeatureView `protobuf:"bytes,1,opt,name=feature_view,json=featureView,proto3" json:"feature_view,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// FeatureView resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   - `labels`
	//   - `service_agent_type`
	//   - `big_query_source`
	//   - `big_query_source.uri`
	//   - `big_query_source.entity_id_columns`
	//   - `feature_registry_source`
	//   - `feature_registry_source.feature_groups`
	//   - `sync_config`
	//   - `sync_config.cron`
	//   - `optimized_config.automatic_resources`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureView].

func (*UpdateFeatureViewRequest) Descriptor 

func (*UpdateFeatureViewRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureViewRequest.ProtoReflect.Descriptor instead.

func (*UpdateFeatureViewRequest) GetFeatureView 

func (x *UpdateFeatureViewRequest) GetFeatureView() *FeatureView

func (*UpdateFeatureViewRequest) GetUpdateMask 

func (x *UpdateFeatureViewRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateFeatureViewRequest) ProtoMessage 

func (*UpdateFeatureViewRequest) ProtoMessage()

func (*UpdateFeatureViewRequest) ProtoReflect 

func (x *UpdateFeatureViewRequest) ProtoReflect() protoreflect.Message

func (*UpdateFeatureViewRequest) Reset 

func (x *UpdateFeatureViewRequest) Reset()

func (*UpdateFeatureViewRequest) String 

func (x *UpdateFeatureViewRequest) String() string

type UpdateFeaturestoreOperationMetadata 

type UpdateFeaturestoreOperationMetadata struct {

	// Operation metadata for Featurestore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update Featurestore.

func (*UpdateFeaturestoreOperationMetadata) Descriptor 

func (*UpdateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateFeaturestoreOperationMetadata) GetGenericMetadata 

func (x *UpdateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateFeaturestoreOperationMetadata) ProtoMessage 

func (*UpdateFeaturestoreOperationMetadata) ProtoMessage()

func (*UpdateFeaturestoreOperationMetadata) ProtoReflect 

func (x *UpdateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateFeaturestoreOperationMetadata) Reset 

func (x *UpdateFeaturestoreOperationMetadata) Reset()

func (*UpdateFeaturestoreOperationMetadata) String 

func (x *UpdateFeaturestoreOperationMetadata) String() string

type UpdateFeaturestoreRequest 

type UpdateFeaturestoreRequest struct {

	// Required. The Featurestore's `name` field is used to identify the
	// Featurestore to be updated. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Featurestore *Featurestore `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// Featurestore resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   - `labels`
	//   - `online_serving_config.fixed_node_count`
	//   - `online_serving_config.scaling`
	//   - `online_storage_ttl_days`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].

func (*UpdateFeaturestoreRequest) Descriptor 

func (*UpdateFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*UpdateFeaturestoreRequest) GetFeaturestore 

func (x *UpdateFeaturestoreRequest) GetFeaturestore() *Featurestore

func (*UpdateFeaturestoreRequest) GetUpdateMask 

func (x *UpdateFeaturestoreRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateFeaturestoreRequest) ProtoMessage 

func (*UpdateFeaturestoreRequest) ProtoMessage()

func (*UpdateFeaturestoreRequest) ProtoReflect 

func (x *UpdateFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*UpdateFeaturestoreRequest) Reset 

func (x *UpdateFeaturestoreRequest) Reset()

func (*UpdateFeaturestoreRequest) String 

func (x *UpdateFeaturestoreRequest) String() string

type UpdateIndexEndpointRequest 

type UpdateIndexEndpointRequest struct {

	// Required. The IndexEndpoint which replaces the resource on the server.
	IndexEndpoint *IndexEndpoint `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The update mask applies to the resource. See
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].

func (*UpdateIndexEndpointRequest) Descriptor 

func (*UpdateIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*UpdateIndexEndpointRequest) GetIndexEndpoint 

func (x *UpdateIndexEndpointRequest) GetIndexEndpoint() *IndexEndpoint

func (*UpdateIndexEndpointRequest) GetUpdateMask 

func (x *UpdateIndexEndpointRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateIndexEndpointRequest) ProtoMessage 

func (*UpdateIndexEndpointRequest) ProtoMessage()

func (*UpdateIndexEndpointRequest) ProtoReflect 

func (x *UpdateIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*UpdateIndexEndpointRequest) Reset 

func (x *UpdateIndexEndpointRequest) Reset()

func (*UpdateIndexEndpointRequest) String 

func (x *UpdateIndexEndpointRequest) String() string

type UpdateIndexOperationMetadata 

type UpdateIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The operation metadata with regard to Matching Engine Index operation.
	NearestNeighborSearchOperationMetadata *NearestNeighborSearchOperationMetadata `protobuf:"bytes,2,opt,name=nearest_neighbor_search_operation_metadata,json=nearestNeighborSearchOperationMetadata,proto3" json:"nearest_neighbor_search_operation_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].

func (*UpdateIndexOperationMetadata) Descriptor 

func (*UpdateIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateIndexOperationMetadata) GetGenericMetadata 

func (x *UpdateIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata 

func (x *UpdateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata() *NearestNeighborSearchOperationMetadata

func (*UpdateIndexOperationMetadata) ProtoMessage 

func (*UpdateIndexOperationMetadata) ProtoMessage()

func (*UpdateIndexOperationMetadata) ProtoReflect 

func (x *UpdateIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateIndexOperationMetadata) Reset 

func (x *UpdateIndexOperationMetadata) Reset()

func (*UpdateIndexOperationMetadata) String 

func (x *UpdateIndexOperationMetadata) String() string

type UpdateIndexRequest 

type UpdateIndexRequest struct {

	// Required. The Index which updates the resource on the server.
	Index *Index `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
	// The update mask applies to the resource.
	// For the `FieldMask` definition, see
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].

func (*UpdateIndexRequest) Descriptor 

func (*UpdateIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateIndexRequest.ProtoReflect.Descriptor instead.

func (*UpdateIndexRequest) GetIndex 

func (x *UpdateIndexRequest) GetIndex() *Index

func (*UpdateIndexRequest) GetUpdateMask 

func (x *UpdateIndexRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateIndexRequest) ProtoMessage 

func (*UpdateIndexRequest) ProtoMessage()

func (*UpdateIndexRequest) ProtoReflect 

func (x *UpdateIndexRequest) ProtoReflect() protoreflect.Message

func (*UpdateIndexRequest) Reset 

func (x *UpdateIndexRequest) Reset()

func (*UpdateIndexRequest) String 

func (x *UpdateIndexRequest) String() string

type UpdateModelDeploymentMonitoringJobOperationMetadata 

type UpdateModelDeploymentMonitoringJobOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Descriptor 

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateModelDeploymentMonitoringJobOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) GetGenericMetadata 

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoMessage 

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoMessage()

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoReflect 

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Reset 

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) Reset()

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) String 

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) String() string

type UpdateModelDeploymentMonitoringJobRequest 

type UpdateModelDeploymentMonitoringJobRequest struct {

	// Required. The model monitoring configuration which replaces the resource on
	// the server.
	ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob `protobuf:"bytes,1,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"`
	// Required. The update mask is used to specify the fields to be overwritten
	// in the ModelDeploymentMonitoringJob resource by the update. The fields
	// specified in the update_mask are relative to the resource, not the full
	// request. A field will be overwritten if it is in the mask. If the user does
	// not provide a mask then only the non-empty fields present in the request
	// will be overwritten. Set the update_mask to `*` to override all fields. For
	// the objective config, the user can either provide the update mask for
	// model_deployment_monitoring_objective_configs or any combination of its
	// nested fields, such as:
	// model_deployment_monitoring_objective_configs.objective_config.training_dataset.
	//
	// Updatable fields:
	//
	//   - `display_name`
	//   - `model_deployment_monitoring_schedule_config`
	//   - `model_monitoring_alert_config`
	//   - `logging_sampling_strategy`
	//   - `labels`
	//   - `log_ttl`
	//   - `enable_monitoring_pipeline_logs`
	//
	// .  and
	//   - `model_deployment_monitoring_objective_configs`
	//
	// .  or
	//   - `model_deployment_monitoring_objective_configs.objective_config.training_dataset`
	//   - `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
	//   - `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].

func (*UpdateModelDeploymentMonitoringJobRequest) Descriptor 

func (*UpdateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*UpdateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob 

func (x *UpdateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob

func (*UpdateModelDeploymentMonitoringJobRequest) GetUpdateMask 

func (x *UpdateModelDeploymentMonitoringJobRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *UpdateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*UpdateModelDeploymentMonitoringJobRequest) Reset 

func (x *UpdateModelDeploymentMonitoringJobRequest) Reset()

func (*UpdateModelDeploymentMonitoringJobRequest) String 

func (x *UpdateModelDeploymentMonitoringJobRequest) String() string

type UpdateModelRequest 

type UpdateModelRequest struct {

	// Required. The Model which replaces the resource on the server.
	// When Model Versioning is enabled, the model.name will be used to determine
	// whether to update the model or model version.
	// 1. model.name with the @ value, e.g. models/123@1, refers to a version
	// specific update.
	// 2. model.name without the @ value, e.g. models/123, refers to a model
	// update.
	// 3. model.name with @-, e.g. models/123@-, refers to a model update.
	// 4. Supported model fields: display_name, description; supported
	// version-specific fields: version_description. Labels are supported in both
	// scenarios. Both the model labels and the version labels are merged when a
	// model is returned. When updating labels, if the request is for
	// model-specific update, model label gets updated. Otherwise, version labels
	// get updated.
	// 5. A model name or model version name fields update mismatch will cause a
	// precondition error.
	// 6. One request cannot update both the model and the version fields. You
	// must update them separately.
	Model *Model `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].

func (*UpdateModelRequest) Descriptor 

func (*UpdateModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateModelRequest.ProtoReflect.Descriptor instead.

func (*UpdateModelRequest) GetModel 

func (x *UpdateModelRequest) GetModel() *Model

func (*UpdateModelRequest) GetUpdateMask 

func (x *UpdateModelRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateModelRequest) ProtoMessage 

func (*UpdateModelRequest) ProtoMessage()

func (*UpdateModelRequest) ProtoReflect 

func (x *UpdateModelRequest) ProtoReflect() protoreflect.Message

func (*UpdateModelRequest) Reset 

func (x *UpdateModelRequest) Reset()

func (*UpdateModelRequest) String 

func (x *UpdateModelRequest) String() string

type UpdateNotebookRuntimeTemplateRequest 

type UpdateNotebookRuntimeTemplateRequest struct {

	// Required. The NotebookRuntimeTemplate to update.
	NotebookRuntimeTemplate *NotebookRuntimeTemplate `protobuf:"bytes,1,opt,name=notebook_runtime_template,json=notebookRuntimeTemplate,proto3" json:"notebook_runtime_template,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see
	// [google.protobuf.FieldMask][google.protobuf.FieldMask]. Input format:
	// `{paths: "${updated_filed}"}` Updatable fields:
	//
	//   - `encryption_spec.kms_key_name`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.UpdateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.UpdateNotebookRuntimeTemplate].

func (*UpdateNotebookRuntimeTemplateRequest) Descriptor 

func (*UpdateNotebookRuntimeTemplateRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateNotebookRuntimeTemplateRequest.ProtoReflect.Descriptor instead.

func (*UpdateNotebookRuntimeTemplateRequest) GetNotebookRuntimeTemplate 

func (x *UpdateNotebookRuntimeTemplateRequest) GetNotebookRuntimeTemplate() *NotebookRuntimeTemplate

func (*UpdateNotebookRuntimeTemplateRequest) GetUpdateMask 

func (x *UpdateNotebookRuntimeTemplateRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateNotebookRuntimeTemplateRequest) ProtoMessage 

func (*UpdateNotebookRuntimeTemplateRequest) ProtoMessage()

func (*UpdateNotebookRuntimeTemplateRequest) ProtoReflect 

func (x *UpdateNotebookRuntimeTemplateRequest) ProtoReflect() protoreflect.Message

func (*UpdateNotebookRuntimeTemplateRequest) Reset 

func (x *UpdateNotebookRuntimeTemplateRequest) Reset()

func (*UpdateNotebookRuntimeTemplateRequest) String 

func (x *UpdateNotebookRuntimeTemplateRequest) String() string

type UpdatePersistentResourceOperationMetadata 

type UpdatePersistentResourceOperationMetadata struct {

	// Operation metadata for PersistentResource.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Progress Message for Update LRO
	ProgressMessage string `protobuf:"bytes,2,opt,name=progress_message,json=progressMessage,proto3" json:"progress_message,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update PersistentResource.

func (*UpdatePersistentResourceOperationMetadata) Descriptor 

func (*UpdatePersistentResourceOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdatePersistentResourceOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdatePersistentResourceOperationMetadata) GetGenericMetadata 

func (x *UpdatePersistentResourceOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdatePersistentResourceOperationMetadata) GetProgressMessage 

func (x *UpdatePersistentResourceOperationMetadata) GetProgressMessage() string

func (*UpdatePersistentResourceOperationMetadata) ProtoMessage 

func (*UpdatePersistentResourceOperationMetadata) ProtoMessage()

func (*UpdatePersistentResourceOperationMetadata) ProtoReflect 

func (x *UpdatePersistentResourceOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdatePersistentResourceOperationMetadata) Reset 

func (x *UpdatePersistentResourceOperationMetadata) Reset()

func (*UpdatePersistentResourceOperationMetadata) String 

func (x *UpdatePersistentResourceOperationMetadata) String() string

type UpdatePersistentResourceRequest 

type UpdatePersistentResourceRequest struct {

	// Required. The PersistentResource to update.
	//
	// The PersistentResource's `name` field is used to identify the
	// PersistentResource to update. Format:
	// `projects/{project}/locations/{location}/persistentResources/{persistent_resource}`
	PersistentResource *PersistentResource `protobuf:"bytes,1,opt,name=persistent_resource,json=persistentResource,proto3" json:"persistent_resource,omitempty"`
	// Required. Specify the fields to be overwritten in the PersistentResource by
	// the update method.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for UpdatePersistentResource method.

func (*UpdatePersistentResourceRequest) Descriptor 

func (*UpdatePersistentResourceRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdatePersistentResourceRequest.ProtoReflect.Descriptor instead.

func (*UpdatePersistentResourceRequest) GetPersistentResource 

func (x *UpdatePersistentResourceRequest) GetPersistentResource() *PersistentResource

func (*UpdatePersistentResourceRequest) GetUpdateMask 

func (x *UpdatePersistentResourceRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdatePersistentResourceRequest) ProtoMessage 

func (*UpdatePersistentResourceRequest) ProtoMessage()

func (*UpdatePersistentResourceRequest) ProtoReflect 

func (x *UpdatePersistentResourceRequest) ProtoReflect() protoreflect.Message

func (*UpdatePersistentResourceRequest) Reset 

func (x *UpdatePersistentResourceRequest) Reset()

func (*UpdatePersistentResourceRequest) String 

func (x *UpdatePersistentResourceRequest) String() string

type UpdateRagCorpusOperationMetadata 

type UpdateRagCorpusOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.UpdateRagCorpus].

func (*UpdateRagCorpusOperationMetadata) Descriptor 

func (*UpdateRagCorpusOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateRagCorpusOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateRagCorpusOperationMetadata) GetGenericMetadata 

func (x *UpdateRagCorpusOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateRagCorpusOperationMetadata) ProtoMessage 

func (*UpdateRagCorpusOperationMetadata) ProtoMessage()

func (*UpdateRagCorpusOperationMetadata) ProtoReflect 

func (x *UpdateRagCorpusOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateRagCorpusOperationMetadata) Reset 

func (x *UpdateRagCorpusOperationMetadata) Reset()

func (*UpdateRagCorpusOperationMetadata) String 

func (x *UpdateRagCorpusOperationMetadata) String() string

type UpdateRagCorpusRequest 

type UpdateRagCorpusRequest struct {

	// Required. The RagCorpus which replaces the resource on the server.
	RagCorpus *RagCorpus `protobuf:"bytes,1,opt,name=rag_corpus,json=ragCorpus,proto3" json:"rag_corpus,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.UpdateRagCorpus].

func (*UpdateRagCorpusRequest) Descriptor 

func (*UpdateRagCorpusRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateRagCorpusRequest.ProtoReflect.Descriptor instead.

func (*UpdateRagCorpusRequest) GetRagCorpus 

func (x *UpdateRagCorpusRequest) GetRagCorpus() *RagCorpus

func (*UpdateRagCorpusRequest) ProtoMessage 

func (*UpdateRagCorpusRequest) ProtoMessage()

func (*UpdateRagCorpusRequest) ProtoReflect 

func (x *UpdateRagCorpusRequest) ProtoReflect() protoreflect.Message

func (*UpdateRagCorpusRequest) Reset 

func (x *UpdateRagCorpusRequest) Reset()

func (*UpdateRagCorpusRequest) String 

func (x *UpdateRagCorpusRequest) String() string

type UpdateReasoningEngineOperationMetadata 

type UpdateReasoningEngineOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of [ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.UpdateReasoningEngine] operation.

func (*UpdateReasoningEngineOperationMetadata) Descriptor 

func (*UpdateReasoningEngineOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateReasoningEngineOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateReasoningEngineOperationMetadata) GetGenericMetadata 

func (x *UpdateReasoningEngineOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateReasoningEngineOperationMetadata) ProtoMessage 

func (*UpdateReasoningEngineOperationMetadata) ProtoMessage()

func (*UpdateReasoningEngineOperationMetadata) ProtoReflect 

func (x *UpdateReasoningEngineOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateReasoningEngineOperationMetadata) Reset 

func (x *UpdateReasoningEngineOperationMetadata) Reset()

func (*UpdateReasoningEngineOperationMetadata) String 

func (x *UpdateReasoningEngineOperationMetadata) String() string

type UpdateReasoningEngineRequest 

type UpdateReasoningEngineRequest struct {

	// Required. The ReasoningEngine which replaces the resource on the server.
	ReasoningEngine *ReasoningEngine `protobuf:"bytes,1,opt,name=reasoning_engine,json=reasoningEngine,proto3" json:"reasoning_engine,omitempty"`
	// Optional. Mask specifying which fields to update.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.UpdateReasoningEngine].

func (*UpdateReasoningEngineRequest) Descriptor 

func (*UpdateReasoningEngineRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateReasoningEngineRequest.ProtoReflect.Descriptor instead.

func (*UpdateReasoningEngineRequest) GetReasoningEngine 

func (x *UpdateReasoningEngineRequest) GetReasoningEngine() *ReasoningEngine

func (*UpdateReasoningEngineRequest) GetUpdateMask 

func (x *UpdateReasoningEngineRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateReasoningEngineRequest) ProtoMessage 

func (*UpdateReasoningEngineRequest) ProtoMessage()

func (*UpdateReasoningEngineRequest) ProtoReflect 

func (x *UpdateReasoningEngineRequest) ProtoReflect() protoreflect.Message

func (*UpdateReasoningEngineRequest) Reset 

func (x *UpdateReasoningEngineRequest) Reset()

func (*UpdateReasoningEngineRequest) String 

func (x *UpdateReasoningEngineRequest) String() string

type UpdateScheduleRequest 

type UpdateScheduleRequest struct {

	// Required. The Schedule which replaces the resource on the server.
	// The following restrictions will be applied:
	//
	//   - The scheduled request type cannot be changed.
	//   - The non-empty fields cannot be unset.
	//   - The output_only fields will be ignored if specified.
	Schedule *Schedule `protobuf:"bytes,1,opt,name=schedule,proto3" json:"schedule,omitempty"`
	// Required. The update mask applies to the resource. See
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ScheduleService.UpdateSchedule][google.cloud.aiplatform.v1.ScheduleService.UpdateSchedule].

func (*UpdateScheduleRequest) Descriptor 

func (*UpdateScheduleRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateScheduleRequest.ProtoReflect.Descriptor instead.

func (*UpdateScheduleRequest) GetSchedule 

func (x *UpdateScheduleRequest) GetSchedule() *Schedule

func (*UpdateScheduleRequest) GetUpdateMask 

func (x *UpdateScheduleRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateScheduleRequest) ProtoMessage 

func (*UpdateScheduleRequest) ProtoMessage()

func (*UpdateScheduleRequest) ProtoReflect 

func (x *UpdateScheduleRequest) ProtoReflect() protoreflect.Message

func (*UpdateScheduleRequest) Reset 

func (x *UpdateScheduleRequest) Reset()

func (*UpdateScheduleRequest) String 

func (x *UpdateScheduleRequest) String() string

type UpdateSpecialistPoolOperationMetadata 

type UpdateSpecialistPoolOperationMetadata struct {

	// Output only. The name of the SpecialistPool to which the specialists are
	// being added. Format:
	// `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
	SpecialistPool string `protobuf:"bytes,1,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,2,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation metadata for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].

func (*UpdateSpecialistPoolOperationMetadata) Descriptor 

func (*UpdateSpecialistPoolOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateSpecialistPoolOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateSpecialistPoolOperationMetadata) GetGenericMetadata 

func (x *UpdateSpecialistPoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateSpecialistPoolOperationMetadata) GetSpecialistPool 

func (x *UpdateSpecialistPoolOperationMetadata) GetSpecialistPool() string

func (*UpdateSpecialistPoolOperationMetadata) ProtoMessage 

func (*UpdateSpecialistPoolOperationMetadata) ProtoMessage()

func (*UpdateSpecialistPoolOperationMetadata) ProtoReflect 

func (x *UpdateSpecialistPoolOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateSpecialistPoolOperationMetadata) Reset 

func (x *UpdateSpecialistPoolOperationMetadata) Reset()

func (*UpdateSpecialistPoolOperationMetadata) String 

func (x *UpdateSpecialistPoolOperationMetadata) String() string

type UpdateSpecialistPoolRequest 

type UpdateSpecialistPoolRequest struct {

	// Required. The SpecialistPool which replaces the resource on the server.
	SpecialistPool *SpecialistPool `protobuf:"bytes,1,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
	// Required. The update mask applies to the resource.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].

func (*UpdateSpecialistPoolRequest) Descriptor 

func (*UpdateSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*UpdateSpecialistPoolRequest) GetSpecialistPool 

func (x *UpdateSpecialistPoolRequest) GetSpecialistPool() *SpecialistPool

func (*UpdateSpecialistPoolRequest) GetUpdateMask 

func (x *UpdateSpecialistPoolRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateSpecialistPoolRequest) ProtoMessage 

func (*UpdateSpecialistPoolRequest) ProtoMessage()

func (*UpdateSpecialistPoolRequest) ProtoReflect 

func (x *UpdateSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*UpdateSpecialistPoolRequest) Reset 

func (x *UpdateSpecialistPoolRequest) Reset()

func (*UpdateSpecialistPoolRequest) String 

func (x *UpdateSpecialistPoolRequest) String() string

type UpdateTensorboardExperimentRequest 

type UpdateTensorboardExperimentRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// TensorboardExperiment resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field is overwritten if it's in the mask. If the
	// user does not provide a mask then all fields are overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The TensorboardExperiment's `name` field is used to identify the
	// TensorboardExperiment to be updated. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].

func (*UpdateTensorboardExperimentRequest) Descriptor 

func (*UpdateTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardExperimentRequest) GetTensorboardExperiment 

func (x *UpdateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment

func (*UpdateTensorboardExperimentRequest) GetUpdateMask 

func (x *UpdateTensorboardExperimentRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardExperimentRequest) ProtoMessage 

func (*UpdateTensorboardExperimentRequest) ProtoMessage()

func (*UpdateTensorboardExperimentRequest) ProtoReflect 

func (x *UpdateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardExperimentRequest) Reset 

func (x *UpdateTensorboardExperimentRequest) Reset()

func (*UpdateTensorboardExperimentRequest) String 

func (x *UpdateTensorboardExperimentRequest) String() string

type UpdateTensorboardOperationMetadata 

type UpdateTensorboardOperationMetadata struct {

	// Operation metadata for Tensorboard.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update Tensorboard.

func (*UpdateTensorboardOperationMetadata) Descriptor 

func (*UpdateTensorboardOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardOperationMetadata) GetGenericMetadata 

func (x *UpdateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateTensorboardOperationMetadata) ProtoMessage 

func (*UpdateTensorboardOperationMetadata) ProtoMessage()

func (*UpdateTensorboardOperationMetadata) ProtoReflect 

func (x *UpdateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardOperationMetadata) Reset 

func (x *UpdateTensorboardOperationMetadata) Reset()

func (*UpdateTensorboardOperationMetadata) String 

func (x *UpdateTensorboardOperationMetadata) String() string

type UpdateTensorboardRequest 

type UpdateTensorboardRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// Tensorboard resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field is overwritten if it's in the mask. If the
	// user does not provide a mask then all fields are overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The Tensorboard's `name` field is used to identify the
	// Tensorboard to be updated. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].

func (*UpdateTensorboardRequest) Descriptor 

func (*UpdateTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardRequest) GetTensorboard 

func (x *UpdateTensorboardRequest) GetTensorboard() *Tensorboard

func (*UpdateTensorboardRequest) GetUpdateMask 

func (x *UpdateTensorboardRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardRequest) ProtoMessage 

func (*UpdateTensorboardRequest) ProtoMessage()

func (*UpdateTensorboardRequest) ProtoReflect 

func (x *UpdateTensorboardRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardRequest) Reset 

func (x *UpdateTensorboardRequest) Reset()

func (*UpdateTensorboardRequest) String 

func (x *UpdateTensorboardRequest) String() string

type UpdateTensorboardRunRequest 

type UpdateTensorboardRunRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// TensorboardRun resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field is overwritten if it's in the mask. If the
	// user does not provide a mask then all fields are overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The TensorboardRun's `name` field is used to identify the
	// TensorboardRun to be updated. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].

func (*UpdateTensorboardRunRequest) Descriptor 

func (*UpdateTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardRunRequest) GetTensorboardRun 

func (x *UpdateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun

func (*UpdateTensorboardRunRequest) GetUpdateMask 

func (x *UpdateTensorboardRunRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardRunRequest) ProtoMessage 

func (*UpdateTensorboardRunRequest) ProtoMessage()

func (*UpdateTensorboardRunRequest) ProtoReflect 

func (x *UpdateTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardRunRequest) Reset 

func (x *UpdateTensorboardRunRequest) Reset()

func (*UpdateTensorboardRunRequest) String 

func (x *UpdateTensorboardRunRequest) String() string

type UpdateTensorboardTimeSeriesRequest 

type UpdateTensorboardTimeSeriesRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// TensorboardTimeSeries resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field is overwritten if it's in the mask. If the
	// user does not provide a mask then all fields are overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The TensorboardTimeSeries' `name` field is used to identify the
	// TensorboardTimeSeries to be updated.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TensorboardTimeSeries *TensorboardTimeSeries `protobuf:"bytes,2,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].

func (*UpdateTensorboardTimeSeriesRequest) Descriptor 

func (*UpdateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries 

func (x *UpdateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries

func (*UpdateTensorboardTimeSeriesRequest) GetUpdateMask 

func (x *UpdateTensorboardTimeSeriesRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage 

func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage()

func (*UpdateTensorboardTimeSeriesRequest) ProtoReflect 

func (x *UpdateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardTimeSeriesRequest) Reset 

func (x *UpdateTensorboardTimeSeriesRequest) Reset()

func (*UpdateTensorboardTimeSeriesRequest) String 

func (x *UpdateTensorboardTimeSeriesRequest) String() string

type UpgradeNotebookRuntimeOperationMetadata 

type UpgradeNotebookRuntimeOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// A human-readable message that shows the intermediate progress details of
	// NotebookRuntime.
	ProgressMessage string `protobuf:"bytes,2,opt,name=progress_message,json=progressMessage,proto3" json:"progress_message,omitempty"`
	// contains filtered or unexported fields
}

Metadata information for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime].

func (*UpgradeNotebookRuntimeOperationMetadata) Descriptor 

func (*UpgradeNotebookRuntimeOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpgradeNotebookRuntimeOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpgradeNotebookRuntimeOperationMetadata) GetGenericMetadata 

func (x *UpgradeNotebookRuntimeOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpgradeNotebookRuntimeOperationMetadata) GetProgressMessage 

func (x *UpgradeNotebookRuntimeOperationMetadata) GetProgressMessage() string

func (*UpgradeNotebookRuntimeOperationMetadata) ProtoMessage 

func (*UpgradeNotebookRuntimeOperationMetadata) ProtoMessage()

func (*UpgradeNotebookRuntimeOperationMetadata) ProtoReflect 

func (x *UpgradeNotebookRuntimeOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpgradeNotebookRuntimeOperationMetadata) Reset 

func (x *UpgradeNotebookRuntimeOperationMetadata) Reset()

func (*UpgradeNotebookRuntimeOperationMetadata) String 

func (x *UpgradeNotebookRuntimeOperationMetadata) String() string

type UpgradeNotebookRuntimeRequest 

type UpgradeNotebookRuntimeRequest struct {

	// Required. The name of the NotebookRuntime resource to be upgrade.
	// Instead of checking whether the name is in valid NotebookRuntime resource
	// name format, directly throw NotFound exception if there is no such
	// NotebookRuntime in spanner.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime].

func (*UpgradeNotebookRuntimeRequest) Descriptor 

func (*UpgradeNotebookRuntimeRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpgradeNotebookRuntimeRequest.ProtoReflect.Descriptor instead.

func (*UpgradeNotebookRuntimeRequest) GetName 

func (x *UpgradeNotebookRuntimeRequest) GetName() string

func (*UpgradeNotebookRuntimeRequest) ProtoMessage 

func (*UpgradeNotebookRuntimeRequest) ProtoMessage()

func (*UpgradeNotebookRuntimeRequest) ProtoReflect 

func (x *UpgradeNotebookRuntimeRequest) ProtoReflect() protoreflect.Message

func (*UpgradeNotebookRuntimeRequest) Reset 

func (x *UpgradeNotebookRuntimeRequest) Reset()

func (*UpgradeNotebookRuntimeRequest) String 

func (x *UpgradeNotebookRuntimeRequest) String() string

type UpgradeNotebookRuntimeResponse 

type UpgradeNotebookRuntimeResponse struct {
	// contains filtered or unexported fields
}

Response message for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime].

func (*UpgradeNotebookRuntimeResponse) Descriptor 

func (*UpgradeNotebookRuntimeResponse) Descriptor() ([]byte, []int)

Deprecated: Use UpgradeNotebookRuntimeResponse.ProtoReflect.Descriptor instead.

func (*UpgradeNotebookRuntimeResponse) ProtoMessage 

func (*UpgradeNotebookRuntimeResponse) ProtoMessage()

func (*UpgradeNotebookRuntimeResponse) ProtoReflect 

func (x *UpgradeNotebookRuntimeResponse) ProtoReflect() protoreflect.Message

func (*UpgradeNotebookRuntimeResponse) Reset 

func (x *UpgradeNotebookRuntimeResponse) Reset()

func (*UpgradeNotebookRuntimeResponse) String 

func (x *UpgradeNotebookRuntimeResponse) String() string

type UploadModelOperationMetadata 

type UploadModelOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.

func (*UploadModelOperationMetadata) Descriptor 

func (*UploadModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UploadModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*UploadModelOperationMetadata) GetGenericMetadata 

func (x *UploadModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UploadModelOperationMetadata) ProtoMessage 

func (*UploadModelOperationMetadata) ProtoMessage()

func (*UploadModelOperationMetadata) ProtoReflect 

func (x *UploadModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*UploadModelOperationMetadata) Reset 

func (x *UploadModelOperationMetadata) Reset()

func (*UploadModelOperationMetadata) String 

func (x *UploadModelOperationMetadata) String() string

type UploadModelRequest 

type UploadModelRequest struct {

	// Required. The resource name of the Location into which to upload the Model.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The resource name of the model into which to upload the version.
	// Only specify this field when uploading a new version.
	ParentModel string `protobuf:"bytes,4,opt,name=parent_model,json=parentModel,proto3" json:"parent_model,omitempty"`
	// Optional. The ID to use for the uploaded Model, which will become the final
	// component of the model resource name.
	//
	// This value may be up to 63 characters, and valid characters are
	// `[a-z0-9_-]`. The first character cannot be a number or hyphen.
	ModelId string `protobuf:"bytes,5,opt,name=model_id,json=modelId,proto3" json:"model_id,omitempty"`
	// Required. The Model to create.
	Model *Model `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. The user-provided custom service account to use to do the model
	// upload. If empty, [Vertex AI Service
	// Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
	// will be used to access resources needed to upload the model. This account
	// must belong to the target project where the model is uploaded to, i.e., the
	// project specified in the `parent` field of this request and have necessary
	// read permissions (to Google Cloud Storage, Artifact Registry, etc.).
	ServiceAccount string `protobuf:"bytes,6,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].

func (*UploadModelRequest) Descriptor 

func (*UploadModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use UploadModelRequest.ProtoReflect.Descriptor instead.

func (*UploadModelRequest) GetModel 

func (x *UploadModelRequest) GetModel() *Model

func (*UploadModelRequest) GetModelId 

func (x *UploadModelRequest) GetModelId() string

func (*UploadModelRequest) GetParent 

func (x *UploadModelRequest) GetParent() string

func (*UploadModelRequest) GetParentModel 

func (x *UploadModelRequest) GetParentModel() string

func (*UploadModelRequest) GetServiceAccount 

func (x *UploadModelRequest) GetServiceAccount() string

func (*UploadModelRequest) ProtoMessage 

func (*UploadModelRequest) ProtoMessage()

func (*UploadModelRequest) ProtoReflect 

func (x *UploadModelRequest) ProtoReflect() protoreflect.Message

func (*UploadModelRequest) Reset 

func (x *UploadModelRequest) Reset()

func (*UploadModelRequest) String 

func (x *UploadModelRequest) String() string

type UploadModelResponse 

type UploadModelResponse struct {

	// The name of the uploaded Model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. The version ID of the model that is uploaded.
	ModelVersionId string `protobuf:"bytes,2,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
	// contains filtered or unexported fields
}

Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.

func (*UploadModelResponse) Descriptor 

func (*UploadModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use UploadModelResponse.ProtoReflect.Descriptor instead.

func (*UploadModelResponse) GetModel 

func (x *UploadModelResponse) GetModel() string

func (*UploadModelResponse) GetModelVersionId 

func (x *UploadModelResponse) GetModelVersionId() string

func (*UploadModelResponse) ProtoMessage 

func (*UploadModelResponse) ProtoMessage()

func (*UploadModelResponse) ProtoReflect 

func (x *UploadModelResponse) ProtoReflect() protoreflect.Message

func (*UploadModelResponse) Reset 

func (x *UploadModelResponse) Reset()

func (*UploadModelResponse) String 

func (x *UploadModelResponse) String() string

type UploadRagFileConfig 

type UploadRagFileConfig struct {

	// Specifies the transformation config for RagFiles.
	RagFileTransformationConfig *RagFileTransformationConfig `protobuf:"bytes,3,opt,name=rag_file_transformation_config,json=ragFileTransformationConfig,proto3" json:"rag_file_transformation_config,omitempty"`
	// contains filtered or unexported fields
}

Config for uploading RagFile.

func (*UploadRagFileConfig) Descriptor 

func (*UploadRagFileConfig) Descriptor() ([]byte, []int)

Deprecated: Use UploadRagFileConfig.ProtoReflect.Descriptor instead.

func (*UploadRagFileConfig) GetRagFileTransformationConfig 

func (x *UploadRagFileConfig) GetRagFileTransformationConfig() *RagFileTransformationConfig

func (*UploadRagFileConfig) ProtoMessage 

func (*UploadRagFileConfig) ProtoMessage()

func (*UploadRagFileConfig) ProtoReflect 

func (x *UploadRagFileConfig) ProtoReflect() protoreflect.Message

func (*UploadRagFileConfig) Reset 

func (x *UploadRagFileConfig) Reset()

func (*UploadRagFileConfig) String 

func (x *UploadRagFileConfig) String() string

type UploadRagFileRequest 

type UploadRagFileRequest struct {

	// Required. The name of the RagCorpus resource into which to upload the file.
	// Format:
	// `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The RagFile to upload.
	RagFile *RagFile `protobuf:"bytes,2,opt,name=rag_file,json=ragFile,proto3" json:"rag_file,omitempty"`
	// Required. The config for the RagFiles to be uploaded into the RagCorpus.
	// [VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1.VertexRagDataService.UploadRagFile].
	UploadRagFileConfig *UploadRagFileConfig `protobuf:"bytes,5,opt,name=upload_rag_file_config,json=uploadRagFileConfig,proto3" json:"upload_rag_file_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1.VertexRagDataService.UploadRagFile].

func (*UploadRagFileRequest) Descriptor 

func (*UploadRagFileRequest) Descriptor() ([]byte, []int)

Deprecated: Use UploadRagFileRequest.ProtoReflect.Descriptor instead.

func (*UploadRagFileRequest) GetParent 

func (x *UploadRagFileRequest) GetParent() string

func (*UploadRagFileRequest) GetRagFile 

func (x *UploadRagFileRequest) GetRagFile() *RagFile

func (*UploadRagFileRequest) GetUploadRagFileConfig 

func (x *UploadRagFileRequest) GetUploadRagFileConfig() *UploadRagFileConfig

func (*UploadRagFileRequest) ProtoMessage 

func (*UploadRagFileRequest) ProtoMessage()

func (*UploadRagFileRequest) ProtoReflect 

func (x *UploadRagFileRequest) ProtoReflect() protoreflect.Message

func (*UploadRagFileRequest) Reset 

func (x *UploadRagFileRequest) Reset()

func (*UploadRagFileRequest) String 

func (x *UploadRagFileRequest) String() string

type UploadRagFileResponse 

type UploadRagFileResponse struct {

	// The result of the upload.
	//
	// Types that are assignable to Result:
	//
	//	*UploadRagFileResponse_RagFile
	//	*UploadRagFileResponse_Error
	Result isUploadRagFileResponse_Result `protobuf_oneof:"result"`
	// contains filtered or unexported fields
}

Response message for [VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1.VertexRagDataService.UploadRagFile].

func (*UploadRagFileResponse) Descriptor 

func (*UploadRagFileResponse) Descriptor() ([]byte, []int)

Deprecated: Use UploadRagFileResponse.ProtoReflect.Descriptor instead.

func (*UploadRagFileResponse) GetError 

func (x *UploadRagFileResponse) GetError() *status.Status

func (*UploadRagFileResponse) GetRagFile 

func (x *UploadRagFileResponse) GetRagFile() *RagFile

func (*UploadRagFileResponse) GetResult 

func (m *UploadRagFileResponse) GetResult() isUploadRagFileResponse_Result

func (*UploadRagFileResponse) ProtoMessage 

func (*UploadRagFileResponse) ProtoMessage()

func (*UploadRagFileResponse) ProtoReflect 

func (x *UploadRagFileResponse) ProtoReflect() protoreflect.Message

func (*UploadRagFileResponse) Reset 

func (x *UploadRagFileResponse) Reset()

func (*UploadRagFileResponse) String 

func (x *UploadRagFileResponse) String() string

type UploadRagFileResponse_Error 

type UploadRagFileResponse_Error struct {
	// The error that occurred while processing the RagFile.
	Error *status.Status `protobuf:"bytes,4,opt,name=error,proto3,oneof"`
}

type UploadRagFileResponse_RagFile 

type UploadRagFileResponse_RagFile struct {
	// The RagFile that had been uploaded into the RagCorpus.
	RagFile *RagFile `protobuf:"bytes,1,opt,name=rag_file,json=ragFile,proto3,oneof"`
}

type UpsertDatapointsRequest 

type UpsertDatapointsRequest struct {

	// Required. The name of the Index resource to be updated.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Index string `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
	// A list of datapoints to be created/updated.
	Datapoints []*IndexDatapoint `protobuf:"bytes,2,rep,name=datapoints,proto3" json:"datapoints,omitempty"`
	// Optional. Update mask is used to specify the fields to be overwritten in
	// the datapoints by the update. The fields specified in the update_mask are
	// relative to each IndexDatapoint inside datapoints, not the full request.
	//
	// Updatable fields:
	//
	//   - Use `all_restricts` to update both restricts and numeric_restricts.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,3,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]

func (*UpsertDatapointsRequest) Descriptor 

func (*UpsertDatapointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpsertDatapointsRequest.ProtoReflect.Descriptor instead.

func (*UpsertDatapointsRequest) GetDatapoints 

func (x *UpsertDatapointsRequest) GetDatapoints() []*IndexDatapoint

func (*UpsertDatapointsRequest) GetIndex 

func (x *UpsertDatapointsRequest) GetIndex() string

func (*UpsertDatapointsRequest) GetUpdateMask 

func (x *UpsertDatapointsRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpsertDatapointsRequest) ProtoMessage 

func (*UpsertDatapointsRequest) ProtoMessage()

func (*UpsertDatapointsRequest) ProtoReflect 

func (x *UpsertDatapointsRequest) ProtoReflect() protoreflect.Message

func (*UpsertDatapointsRequest) Reset 

func (x *UpsertDatapointsRequest) Reset()

func (*UpsertDatapointsRequest) String 

func (x *UpsertDatapointsRequest) String() string

type UpsertDatapointsResponse 

type UpsertDatapointsResponse struct {
	// contains filtered or unexported fields
}

Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]

func (*UpsertDatapointsResponse) Descriptor 

func (*UpsertDatapointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use UpsertDatapointsResponse.ProtoReflect.Descriptor instead.

func (*UpsertDatapointsResponse) ProtoMessage 

func (*UpsertDatapointsResponse) ProtoMessage()

func (*UpsertDatapointsResponse) ProtoReflect 

func (x *UpsertDatapointsResponse) ProtoReflect() protoreflect.Message

func (*UpsertDatapointsResponse) Reset 

func (x *UpsertDatapointsResponse) Reset()

func (*UpsertDatapointsResponse) String 

func (x *UpsertDatapointsResponse) String() string

type UserActionReference 

type UserActionReference struct {

	// Types that are assignable to Reference:
	//
	//	*UserActionReference_Operation
	//	*UserActionReference_DataLabelingJob
	Reference isUserActionReference_Reference `protobuf_oneof:"reference"`
	// The method name of the API RPC call. For example,
	// "/google.cloud.aiplatform.{apiVersion}.DatasetService.CreateDataset"
	Method string `protobuf:"bytes,3,opt,name=method,proto3" json:"method,omitempty"`
	// contains filtered or unexported fields
}

References an API call. It contains more information about long running operation and Jobs that are triggered by the API call.

func (*UserActionReference) Descriptor 

func (*UserActionReference) Descriptor() ([]byte, []int)

Deprecated: Use UserActionReference.ProtoReflect.Descriptor instead.

func (*UserActionReference) GetDataLabelingJob 

func (x *UserActionReference) GetDataLabelingJob() string

func (*UserActionReference) GetMethod 

func (x *UserActionReference) GetMethod() string

func (*UserActionReference) GetOperation 

func (x *UserActionReference) GetOperation() string

func (*UserActionReference) GetReference 

func (m *UserActionReference) GetReference() isUserActionReference_Reference

func (*UserActionReference) ProtoMessage 

func (*UserActionReference) ProtoMessage()

func (*UserActionReference) ProtoReflect 

func (x *UserActionReference) ProtoReflect() protoreflect.Message

func (*UserActionReference) Reset 

func (x *UserActionReference) Reset()

func (*UserActionReference) String 

func (x *UserActionReference) String() string

type UserActionReference_DataLabelingJob 

type UserActionReference_DataLabelingJob struct {
	// For API calls that start a LabelingJob.
	// Resource name of the LabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	DataLabelingJob string `protobuf:"bytes,2,opt,name=data_labeling_job,json=dataLabelingJob,proto3,oneof"`
}

type UserActionReference_Operation 

type UserActionReference_Operation struct {
	// For API calls that return a long running operation.
	// Resource name of the long running operation.
	// Format:
	// `projects/{project}/locations/{location}/operations/{operation}`
	Operation string `protobuf:"bytes,1,opt,name=operation,proto3,oneof"`
}

type Value 

type Value struct {

	// Types that are assignable to Value:
	//
	//	*Value_IntValue
	//	*Value_DoubleValue
	//	*Value_StringValue
	Value isValue_Value `protobuf_oneof:"value"`
	// contains filtered or unexported fields
}

Value is the value of the field.

func (*Value) Descriptor 

func (*Value) Descriptor() ([]byte, []int)

Deprecated: Use Value.ProtoReflect.Descriptor instead.

func (*Value) GetDoubleValue 

func (x *Value) GetDoubleValue() float64

func (*Value) GetIntValue 

func (x *Value) GetIntValue() int64

func (*Value) GetStringValue 

func (x *Value) GetStringValue() string

func (*Value) GetValue 

func (m *Value) GetValue() isValue_Value

func (*Value) ProtoMessage 

func (*Value) ProtoMessage()

func (*Value) ProtoReflect 

func (x *Value) ProtoReflect() protoreflect.Message

func (*Value) Reset 

func (x *Value) Reset()

func (*Value) String 

func (x *Value) String() string

type Value_DoubleValue 

type Value_DoubleValue struct {
	// A double value.
	DoubleValue float64 `protobuf:"fixed64,2,opt,name=double_value,json=doubleValue,proto3,oneof"`
}

type Value_IntValue 

type Value_IntValue struct {
	// An integer value.
	IntValue int64 `protobuf:"varint,1,opt,name=int_value,json=intValue,proto3,oneof"`
}

type Value_StringValue 

type Value_StringValue struct {
	// A string value.
	StringValue string `protobuf:"bytes,3,opt,name=string_value,json=stringValue,proto3,oneof"`
}

type VertexAISearch 

type VertexAISearch struct {

	// Required. Fully-qualified Vertex AI Search data store resource ID.
	// Format:
	// `projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}`
	Datastore string `protobuf:"bytes,1,opt,name=datastore,proto3" json:"datastore,omitempty"`
	// contains filtered or unexported fields
}

Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/products/agent-builder

func (*VertexAISearch) Descriptor 

func (*VertexAISearch) Descriptor() ([]byte, []int)

Deprecated: Use VertexAISearch.ProtoReflect.Descriptor instead.

func (*VertexAISearch) GetDatastore 

func (x *VertexAISearch) GetDatastore() string

func (*VertexAISearch) ProtoMessage 

func (*VertexAISearch) ProtoMessage()

func (*VertexAISearch) ProtoReflect 

func (x *VertexAISearch) ProtoReflect() protoreflect.Message

func (*VertexAISearch) Reset 

func (x *VertexAISearch) Reset()

func (*VertexAISearch) String 

func (x *VertexAISearch) String() string

type VertexRagDataServiceClient 

type VertexRagDataServiceClient interface {
	// Creates a RagCorpus.
	CreateRagCorpus(ctx context.Context, in *CreateRagCorpusRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Updates a RagCorpus.
	UpdateRagCorpus(ctx context.Context, in *UpdateRagCorpusRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a RagCorpus.
	GetRagCorpus(ctx context.Context, in *GetRagCorpusRequest, opts ...grpc.CallOption) (*RagCorpus, error)
	// Lists RagCorpora in a Location.
	ListRagCorpora(ctx context.Context, in *ListRagCorporaRequest, opts ...grpc.CallOption) (*ListRagCorporaResponse, error)
	// Deletes a RagCorpus.
	DeleteRagCorpus(ctx context.Context, in *DeleteRagCorpusRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Upload a file into a RagCorpus.
	UploadRagFile(ctx context.Context, in *UploadRagFileRequest, opts ...grpc.CallOption) (*UploadRagFileResponse, error)
	// Import files from Google Cloud Storage or Google Drive into a RagCorpus.
	ImportRagFiles(ctx context.Context, in *ImportRagFilesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a RagFile.
	GetRagFile(ctx context.Context, in *GetRagFileRequest, opts ...grpc.CallOption) (*RagFile, error)
	// Lists RagFiles in a RagCorpus.
	ListRagFiles(ctx context.Context, in *ListRagFilesRequest, opts ...grpc.CallOption) (*ListRagFilesResponse, error)
	// Deletes a RagFile.
	DeleteRagFile(ctx context.Context, in *DeleteRagFileRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

VertexRagDataServiceClient is the client API for VertexRagDataService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewVertexRagDataServiceClient 

func NewVertexRagDataServiceClient(cc grpc.ClientConnInterface) VertexRagDataServiceClient

type VertexRagDataServiceServer 

type VertexRagDataServiceServer interface {
	// Creates a RagCorpus.
	CreateRagCorpus(context.Context, *CreateRagCorpusRequest) (*longrunningpb.Operation, error)
	// Updates a RagCorpus.
	UpdateRagCorpus(context.Context, *UpdateRagCorpusRequest) (*longrunningpb.Operation, error)
	// Gets a RagCorpus.
	GetRagCorpus(context.Context, *GetRagCorpusRequest) (*RagCorpus, error)
	// Lists RagCorpora in a Location.
	ListRagCorpora(context.Context, *ListRagCorporaRequest) (*ListRagCorporaResponse, error)
	// Deletes a RagCorpus.
	DeleteRagCorpus(context.Context, *DeleteRagCorpusRequest) (*longrunningpb.Operation, error)
	// Upload a file into a RagCorpus.
	UploadRagFile(context.Context, *UploadRagFileRequest) (*UploadRagFileResponse, error)
	// Import files from Google Cloud Storage or Google Drive into a RagCorpus.
	ImportRagFiles(context.Context, *ImportRagFilesRequest) (*longrunningpb.Operation, error)
	// Gets a RagFile.
	GetRagFile(context.Context, *GetRagFileRequest) (*RagFile, error)
	// Lists RagFiles in a RagCorpus.
	ListRagFiles(context.Context, *ListRagFilesRequest) (*ListRagFilesResponse, error)
	// Deletes a RagFile.
	DeleteRagFile(context.Context, *DeleteRagFileRequest) (*longrunningpb.Operation, error)
}

VertexRagDataServiceServer is the server API for VertexRagDataService service.

type VertexRagServiceClient 

type VertexRagServiceClient interface {
	// Retrieves relevant contexts for a query.
	RetrieveContexts(ctx context.Context, in *RetrieveContextsRequest, opts ...grpc.CallOption) (*RetrieveContextsResponse, error)
	// Given an input prompt, it returns augmented prompt from vertex rag store
	//
	//	to guide LLM towards generating grounded responses.
	AugmentPrompt(ctx context.Context, in *AugmentPromptRequest, opts ...grpc.CallOption) (*AugmentPromptResponse, error)
	// Given an input text, it returns a score that evaluates the factuality of
	// the text. It also extracts and returns claims from the text and provides
	// supporting facts.
	CorroborateContent(ctx context.Context, in *CorroborateContentRequest, opts ...grpc.CallOption) (*CorroborateContentResponse, error)
}

VertexRagServiceClient is the client API for VertexRagService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewVertexRagServiceClient 

func NewVertexRagServiceClient(cc grpc.ClientConnInterface) VertexRagServiceClient

type VertexRagServiceServer 

type VertexRagServiceServer interface {
	// Retrieves relevant contexts for a query.
	RetrieveContexts(context.Context, *RetrieveContextsRequest) (*RetrieveContextsResponse, error)
	// Given an input prompt, it returns augmented prompt from vertex rag store
	//
	//	to guide LLM towards generating grounded responses.
	AugmentPrompt(context.Context, *AugmentPromptRequest) (*AugmentPromptResponse, error)
	// Given an input text, it returns a score that evaluates the factuality of
	// the text. It also extracts and returns claims from the text and provides
	// supporting facts.
	CorroborateContent(context.Context, *CorroborateContentRequest) (*CorroborateContentResponse, error)
}

VertexRagServiceServer is the server API for VertexRagService service.

type VertexRagStore 

type VertexRagStore struct {

	// Optional. The representation of the rag source. It can be used to specify
	// corpus only or ragfiles. Currently only support one corpus or multiple
	// files from one corpus. In the future we may open up multiple corpora
	// support.
	RagResources []*VertexRagStore_RagResource `protobuf:"bytes,4,rep,name=rag_resources,json=ragResources,proto3" json:"rag_resources,omitempty"`
	// Optional. Number of top k results to return from the selected corpora.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/tool.proto.
	SimilarityTopK *int32 `protobuf:"varint,2,opt,name=similarity_top_k,json=similarityTopK,proto3,oneof" json:"similarity_top_k,omitempty"`
	// Optional. Only return results with vector distance smaller than the
	// threshold.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/tool.proto.
	VectorDistanceThreshold *float64 `protobuf:"fixed64,3,opt,name=vector_distance_threshold,json=vectorDistanceThreshold,proto3,oneof" json:"vector_distance_threshold,omitempty"`
	// Optional. The retrieval config for the Rag query.
	RagRetrievalConfig *RagRetrievalConfig `protobuf:"bytes,6,opt,name=rag_retrieval_config,json=ragRetrievalConfig,proto3" json:"rag_retrieval_config,omitempty"`
	// contains filtered or unexported fields
}

Retrieve from Vertex RAG Store for grounding.

func (*VertexRagStore) Descriptor 

func (*VertexRagStore) Descriptor() ([]byte, []int)

Deprecated: Use VertexRagStore.ProtoReflect.Descriptor instead.

func (*VertexRagStore) GetRagResources 

func (x *VertexRagStore) GetRagResources() []*VertexRagStore_RagResource

func (*VertexRagStore) GetRagRetrievalConfig 

func (x *VertexRagStore) GetRagRetrievalConfig() *RagRetrievalConfig

func (*VertexRagStore) GetSimilarityTopK 

func (x *VertexRagStore) GetSimilarityTopK() int32

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/tool.proto.

func (*VertexRagStore) GetVectorDistanceThreshold 

func (x *VertexRagStore) GetVectorDistanceThreshold() float64

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/tool.proto.

func (*VertexRagStore) ProtoMessage 

func (*VertexRagStore) ProtoMessage()

func (*VertexRagStore) ProtoReflect 

func (x *VertexRagStore) ProtoReflect() protoreflect.Message

func (*VertexRagStore) Reset 

func (x *VertexRagStore) Reset()

func (*VertexRagStore) String 

func (x *VertexRagStore) String() string

type VertexRagStore_RagResource 

type VertexRagStore_RagResource struct {

	// Optional. RagCorpora resource name.
	// Format:
	// `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}`
	RagCorpus string `protobuf:"bytes,1,opt,name=rag_corpus,json=ragCorpus,proto3" json:"rag_corpus,omitempty"`
	// Optional. rag_file_id. The files should be in the same rag_corpus set in
	// rag_corpus field.
	RagFileIds []string `protobuf:"bytes,2,rep,name=rag_file_ids,json=ragFileIds,proto3" json:"rag_file_ids,omitempty"`
	// contains filtered or unexported fields
}

The definition of the Rag resource.

func (*VertexRagStore_RagResource) Descriptor 

func (*VertexRagStore_RagResource) Descriptor() ([]byte, []int)

Deprecated: Use VertexRagStore_RagResource.ProtoReflect.Descriptor instead.

func (*VertexRagStore_RagResource) GetRagCorpus 

func (x *VertexRagStore_RagResource) GetRagCorpus() string

func (*VertexRagStore_RagResource) GetRagFileIds 

func (x *VertexRagStore_RagResource) GetRagFileIds() []string

func (*VertexRagStore_RagResource) ProtoMessage 

func (*VertexRagStore_RagResource) ProtoMessage()

func (*VertexRagStore_RagResource) ProtoReflect 

func (x *VertexRagStore_RagResource) ProtoReflect() protoreflect.Message

func (*VertexRagStore_RagResource) Reset 

func (x *VertexRagStore_RagResource) Reset()

func (*VertexRagStore_RagResource) String 

func (x *VertexRagStore_RagResource) String() string

type VideoMetadata 

type VideoMetadata struct {

	// Optional. The start offset of the video.
	StartOffset *durationpb.Duration `protobuf:"bytes,1,opt,name=start_offset,json=startOffset,proto3" json:"start_offset,omitempty"`
	// Optional. The end offset of the video.
	EndOffset *durationpb.Duration `protobuf:"bytes,2,opt,name=end_offset,json=endOffset,proto3" json:"end_offset,omitempty"`
	// contains filtered or unexported fields
}

Metadata describes the input video content.

func (*VideoMetadata) Descriptor 

func (*VideoMetadata) Descriptor() ([]byte, []int)

Deprecated: Use VideoMetadata.ProtoReflect.Descriptor instead.

func (*VideoMetadata) GetEndOffset 

func (x *VideoMetadata) GetEndOffset() *durationpb.Duration

func (*VideoMetadata) GetStartOffset 

func (x *VideoMetadata) GetStartOffset() *durationpb.Duration

func (*VideoMetadata) ProtoMessage 

func (*VideoMetadata) ProtoMessage()

func (*VideoMetadata) ProtoReflect 

func (x *VideoMetadata) ProtoReflect() protoreflect.Message

func (*VideoMetadata) Reset 

func (x *VideoMetadata) Reset()

func (*VideoMetadata) String 

func (x *VideoMetadata) String() string

type VizierServiceClient 

type VizierServiceClient interface {
	// Creates a Study. A resource name will be generated after creation of the
	// Study.
	CreateStudy(ctx context.Context, in *CreateStudyRequest, opts ...grpc.CallOption) (*Study, error)
	// Gets a Study by name.
	GetStudy(ctx context.Context, in *GetStudyRequest, opts ...grpc.CallOption) (*Study, error)
	// Lists all the studies in a region for an associated project.
	ListStudies(ctx context.Context, in *ListStudiesRequest, opts ...grpc.CallOption) (*ListStudiesResponse, error)
	// Deletes a Study.
	DeleteStudy(ctx context.Context, in *DeleteStudyRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Looks a study up using the user-defined display_name field instead of the
	// fully qualified resource name.
	LookupStudy(ctx context.Context, in *LookupStudyRequest, opts ...grpc.CallOption) (*Study, error)
	// Adds one or more Trials to a Study, with parameter values
	// suggested by Vertex AI Vizier. Returns a long-running
	// operation associated with the generation of Trial suggestions.
	// When this long-running operation succeeds, it will contain
	// a
	// [SuggestTrialsResponse][google.cloud.aiplatform.v1.SuggestTrialsResponse].
	SuggestTrials(ctx context.Context, in *SuggestTrialsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Adds a user provided Trial to a Study.
	CreateTrial(ctx context.Context, in *CreateTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Gets a Trial.
	GetTrial(ctx context.Context, in *GetTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Lists the Trials associated with a Study.
	ListTrials(ctx context.Context, in *ListTrialsRequest, opts ...grpc.CallOption) (*ListTrialsResponse, error)
	// Adds a measurement of the objective metrics to a Trial. This measurement
	// is assumed to have been taken before the Trial is complete.
	AddTrialMeasurement(ctx context.Context, in *AddTrialMeasurementRequest, opts ...grpc.CallOption) (*Trial, error)
	// Marks a Trial as complete.
	CompleteTrial(ctx context.Context, in *CompleteTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Deletes a Trial.
	DeleteTrial(ctx context.Context, in *DeleteTrialRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Checks  whether a Trial should stop or not. Returns a
	// long-running operation. When the operation is successful,
	// it will contain a
	// [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse].
	CheckTrialEarlyStoppingState(ctx context.Context, in *CheckTrialEarlyStoppingStateRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Stops a Trial.
	StopTrial(ctx context.Context, in *StopTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Lists the pareto-optimal Trials for multi-objective Study or the
	// optimal Trials for single-objective Study. The definition of
	// pareto-optimal can be checked in wiki page.
	// https://en.wikipedia.org/wiki/Pareto_efficiency
	ListOptimalTrials(ctx context.Context, in *ListOptimalTrialsRequest, opts ...grpc.CallOption) (*ListOptimalTrialsResponse, error)
}

VizierServiceClient is the client API for VizierService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewVizierServiceClient 

func NewVizierServiceClient(cc grpc.ClientConnInterface) VizierServiceClient

type VizierServiceServer 

type VizierServiceServer interface {
	// Creates a Study. A resource name will be generated after creation of the
	// Study.
	CreateStudy(context.Context, *CreateStudyRequest) (*Study, error)
	// Gets a Study by name.
	GetStudy(context.Context, *GetStudyRequest) (*Study, error)
	// Lists all the studies in a region for an associated project.
	ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error)
	// Deletes a Study.
	DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error)
	// Looks a study up using the user-defined display_name field instead of the
	// fully qualified resource name.
	LookupStudy(context.Context, *LookupStudyRequest) (*Study, error)
	// Adds one or more Trials to a Study, with parameter values
	// suggested by Vertex AI Vizier. Returns a long-running
	// operation associated with the generation of Trial suggestions.
	// When this long-running operation succeeds, it will contain
	// a
	// [SuggestTrialsResponse][google.cloud.aiplatform.v1.SuggestTrialsResponse].
	SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunningpb.Operation, error)
	// Adds a user provided Trial to a Study.
	CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error)
	// Gets a Trial.
	GetTrial(context.Context, *GetTrialRequest) (*Trial, error)
	// Lists the Trials associated with a Study.
	ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error)
	// Adds a measurement of the objective metrics to a Trial. This measurement
	// is assumed to have been taken before the Trial is complete.
	AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error)
	// Marks a Trial as complete.
	CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error)
	// Deletes a Trial.
	DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error)
	// Checks  whether a Trial should stop or not. Returns a
	// long-running operation. When the operation is successful,
	// it will contain a
	// [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse].
	CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunningpb.Operation, error)
	// Stops a Trial.
	StopTrial(context.Context, *StopTrialRequest) (*Trial, error)
	// Lists the pareto-optimal Trials for multi-objective Study or the
	// optimal Trials for single-objective Study. The definition of
	// pareto-optimal can be checked in wiki page.
	// https://en.wikipedia.org/wiki/Pareto_efficiency
	ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error)
}

VizierServiceServer is the server API for VizierService service.

type WorkerPoolSpec 

type WorkerPoolSpec struct {

	// The custom task to be executed in this worker pool.
	//
	// Types that are assignable to Task:
	//
	//	*WorkerPoolSpec_ContainerSpec
	//	*WorkerPoolSpec_PythonPackageSpec
	Task isWorkerPoolSpec_Task `protobuf_oneof:"task"`
	// Optional. Immutable. The specification of a single machine.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Optional. The number of worker replicas to use for this worker pool.
	ReplicaCount int64 `protobuf:"varint,2,opt,name=replica_count,json=replicaCount,proto3" json:"replica_count,omitempty"`
	// Optional. List of NFS mount spec.
	NfsMounts []*NfsMount `protobuf:"bytes,4,rep,name=nfs_mounts,json=nfsMounts,proto3" json:"nfs_mounts,omitempty"`
	// Disk spec.
	DiskSpec *DiskSpec `protobuf:"bytes,5,opt,name=disk_spec,json=diskSpec,proto3" json:"disk_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of a worker pool in a job.

func (*WorkerPoolSpec) Descriptor 

func (*WorkerPoolSpec) Descriptor() ([]byte, []int)

Deprecated: Use WorkerPoolSpec.ProtoReflect.Descriptor instead.

func (*WorkerPoolSpec) GetContainerSpec 

func (x *WorkerPoolSpec) GetContainerSpec() *ContainerSpec

func (*WorkerPoolSpec) GetDiskSpec 

func (x *WorkerPoolSpec) GetDiskSpec() *DiskSpec

func (*WorkerPoolSpec) GetMachineSpec 

func (x *WorkerPoolSpec) GetMachineSpec() *MachineSpec

func (*WorkerPoolSpec) GetNfsMounts 

func (x *WorkerPoolSpec) GetNfsMounts() []*NfsMount

func (*WorkerPoolSpec) GetPythonPackageSpec 

func (x *WorkerPoolSpec) GetPythonPackageSpec() *PythonPackageSpec

func (*WorkerPoolSpec) GetReplicaCount 

func (x *WorkerPoolSpec) GetReplicaCount() int64

func (*WorkerPoolSpec) GetTask 

func (m *WorkerPoolSpec) GetTask() isWorkerPoolSpec_Task

func (*WorkerPoolSpec) ProtoMessage 

func (*WorkerPoolSpec) ProtoMessage()

func (*WorkerPoolSpec) ProtoReflect 

func (x *WorkerPoolSpec) ProtoReflect() protoreflect.Message

func (*WorkerPoolSpec) Reset 

func (x *WorkerPoolSpec) Reset()

func (*WorkerPoolSpec) String 

func (x *WorkerPoolSpec) String() string

type WorkerPoolSpec_ContainerSpec 

type WorkerPoolSpec_ContainerSpec struct {
	// The custom container task.
	ContainerSpec *ContainerSpec `protobuf:"bytes,6,opt,name=container_spec,json=containerSpec,proto3,oneof"`
}

type WorkerPoolSpec_PythonPackageSpec 

type WorkerPoolSpec_PythonPackageSpec struct {
	// The Python packaged task.
	PythonPackageSpec *PythonPackageSpec `protobuf:"bytes,7,opt,name=python_package_spec,json=pythonPackageSpec,proto3,oneof"`
}

type WriteFeatureValuesPayload 

type WriteFeatureValuesPayload struct {

	// Required. The ID of the entity.
	EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
	// Required. Feature values to be written, mapping from Feature ID to value.
	// Up to 100,000 `feature_values` entries may be written across all payloads.
	// The feature generation time, aligned by days, must be no older than five
	// years (1825 days) and no later than one year (366 days) in the future.
	FeatureValues map[string]*FeatureValue `protobuf:"bytes,2,rep,name=feature_values,json=featureValues,proto3" json:"feature_values,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// contains filtered or unexported fields
}

Contains Feature values to be written for a specific entity.

func (*WriteFeatureValuesPayload) Descriptor 

func (*WriteFeatureValuesPayload) Descriptor() ([]byte, []int)

Deprecated: Use WriteFeatureValuesPayload.ProtoReflect.Descriptor instead.

func (*WriteFeatureValuesPayload) GetEntityId 

func (x *WriteFeatureValuesPayload) GetEntityId() string

func (*WriteFeatureValuesPayload) GetFeatureValues 

func (x *WriteFeatureValuesPayload) GetFeatureValues() map[string]*FeatureValue

func (*WriteFeatureValuesPayload) ProtoMessage 

func (*WriteFeatureValuesPayload) ProtoMessage()

func (*WriteFeatureValuesPayload) ProtoReflect 

func (x *WriteFeatureValuesPayload) ProtoReflect() protoreflect.Message

func (*WriteFeatureValuesPayload) Reset 

func (x *WriteFeatureValuesPayload) Reset()

func (*WriteFeatureValuesPayload) String 

func (x *WriteFeatureValuesPayload) String() string

type WriteFeatureValuesRequest 

type WriteFeatureValuesRequest struct {

	// Required. The resource name of the EntityType for the entities being
	// written. Value format:
	// `projects/{project}/locations/{location}/featurestores/
	// {featurestore}/entityTypes/{entityType}`. For example,
	// for a machine learning model predicting user clicks on a website, an
	// EntityType ID could be `user`.
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. The entities to be written. Up to 100,000 feature values can be
	// written across all `payloads`.
	Payloads []*WriteFeatureValuesPayload `protobuf:"bytes,2,rep,name=payloads,proto3" json:"payloads,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].

func (*WriteFeatureValuesRequest) Descriptor 

func (*WriteFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use WriteFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*WriteFeatureValuesRequest) GetEntityType 

func (x *WriteFeatureValuesRequest) GetEntityType() string

func (*WriteFeatureValuesRequest) GetPayloads 

func (x *WriteFeatureValuesRequest) GetPayloads() []*WriteFeatureValuesPayload

func (*WriteFeatureValuesRequest) ProtoMessage 

func (*WriteFeatureValuesRequest) ProtoMessage()

func (*WriteFeatureValuesRequest) ProtoReflect 

func (x *WriteFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*WriteFeatureValuesRequest) Reset 

func (x *WriteFeatureValuesRequest) Reset()

func (*WriteFeatureValuesRequest) String 

func (x *WriteFeatureValuesRequest) String() string

type WriteFeatureValuesResponse 

type WriteFeatureValuesResponse struct {
	// contains filtered or unexported fields
}

Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].

func (*WriteFeatureValuesResponse) Descriptor 

func (*WriteFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use WriteFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*WriteFeatureValuesResponse) ProtoMessage 

func (*WriteFeatureValuesResponse) ProtoMessage()

func (*WriteFeatureValuesResponse) ProtoReflect 

func (x *WriteFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*WriteFeatureValuesResponse) Reset 

func (x *WriteFeatureValuesResponse) Reset()

func (*WriteFeatureValuesResponse) String 

func (x *WriteFeatureValuesResponse) String() string

type WriteTensorboardExperimentDataRequest 

type WriteTensorboardExperimentDataRequest struct {

	// Required. The resource name of the TensorboardExperiment to write data to.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	TensorboardExperiment string `protobuf:"bytes,1,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
	// Required. Requests containing per-run TensorboardTimeSeries data to write.
	WriteRunDataRequests []*WriteTensorboardRunDataRequest `protobuf:"bytes,2,rep,name=write_run_data_requests,json=writeRunDataRequests,proto3" json:"write_run_data_requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].

func (*WriteTensorboardExperimentDataRequest) Descriptor 

func (*WriteTensorboardExperimentDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardExperimentDataRequest.ProtoReflect.Descriptor instead.

func (*WriteTensorboardExperimentDataRequest) GetTensorboardExperiment 

func (x *WriteTensorboardExperimentDataRequest) GetTensorboardExperiment() string

func (*WriteTensorboardExperimentDataRequest) GetWriteRunDataRequests 

func (x *WriteTensorboardExperimentDataRequest) GetWriteRunDataRequests() []*WriteTensorboardRunDataRequest

func (*WriteTensorboardExperimentDataRequest) ProtoMessage 

func (*WriteTensorboardExperimentDataRequest) ProtoMessage()

func (*WriteTensorboardExperimentDataRequest) ProtoReflect 

func (x *WriteTensorboardExperimentDataRequest) ProtoReflect() protoreflect.Message

func (*WriteTensorboardExperimentDataRequest) Reset 

func (x *WriteTensorboardExperimentDataRequest) Reset()

func (*WriteTensorboardExperimentDataRequest) String 

func (x *WriteTensorboardExperimentDataRequest) String() string

type WriteTensorboardExperimentDataResponse 

type WriteTensorboardExperimentDataResponse struct {
	// contains filtered or unexported fields
}

Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].

func (*WriteTensorboardExperimentDataResponse) Descriptor 

func (*WriteTensorboardExperimentDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardExperimentDataResponse.ProtoReflect.Descriptor instead.

func (*WriteTensorboardExperimentDataResponse) ProtoMessage 

func (*WriteTensorboardExperimentDataResponse) ProtoMessage()

func (*WriteTensorboardExperimentDataResponse) ProtoReflect 

func (x *WriteTensorboardExperimentDataResponse) ProtoReflect() protoreflect.Message

func (*WriteTensorboardExperimentDataResponse) Reset 

func (x *WriteTensorboardExperimentDataResponse) Reset()

func (*WriteTensorboardExperimentDataResponse) String 

func (x *WriteTensorboardExperimentDataResponse) String() string

type WriteTensorboardRunDataRequest 

type WriteTensorboardRunDataRequest struct {

	// Required. The resource name of the TensorboardRun to write data to.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	TensorboardRun string `protobuf:"bytes,1,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// Required. The TensorboardTimeSeries data to write.
	// Values with in a time series are indexed by their step value.
	// Repeated writes to the same step will overwrite the existing value for that
	// step.
	// The upper limit of data points per write request is 5000.
	TimeSeriesData []*TimeSeriesData `protobuf:"bytes,2,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].

func (*WriteTensorboardRunDataRequest) Descriptor 

func (*WriteTensorboardRunDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardRunDataRequest.ProtoReflect.Descriptor instead.

func (*WriteTensorboardRunDataRequest) GetTensorboardRun 

func (x *WriteTensorboardRunDataRequest) GetTensorboardRun() string

func (*WriteTensorboardRunDataRequest) GetTimeSeriesData 

func (x *WriteTensorboardRunDataRequest) GetTimeSeriesData() []*TimeSeriesData

func (*WriteTensorboardRunDataRequest) ProtoMessage 

func (*WriteTensorboardRunDataRequest) ProtoMessage()

func (*WriteTensorboardRunDataRequest) ProtoReflect 

func (x *WriteTensorboardRunDataRequest) ProtoReflect() protoreflect.Message

func (*WriteTensorboardRunDataRequest) Reset 

func (x *WriteTensorboardRunDataRequest) Reset()

func (*WriteTensorboardRunDataRequest) String 

func (x *WriteTensorboardRunDataRequest) String() string

type WriteTensorboardRunDataResponse 

type WriteTensorboardRunDataResponse struct {
	// contains filtered or unexported fields
}

Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].

func (*WriteTensorboardRunDataResponse) Descriptor 

func (*WriteTensorboardRunDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardRunDataResponse.ProtoReflect.Descriptor instead.

func (*WriteTensorboardRunDataResponse) ProtoMessage 

func (*WriteTensorboardRunDataResponse) ProtoMessage()

func (*WriteTensorboardRunDataResponse) ProtoReflect 

func (x *WriteTensorboardRunDataResponse) ProtoReflect() protoreflect.Message

func (*WriteTensorboardRunDataResponse) Reset 

func (x *WriteTensorboardRunDataResponse) Reset()

func (*WriteTensorboardRunDataResponse) String 

func (x *WriteTensorboardRunDataResponse) String() string

type XraiAttribution 

type XraiAttribution struct {

	// Required. The number of steps for approximating the path integral.
	// A good value to start is 50 and gradually increase until the
	// sum to diff property is met within the desired error range.
	//
	// Valid range of its value is [1, 100], inclusively.
	StepCount int32 `protobuf:"varint,1,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
	// Config for SmoothGrad approximation of gradients.
	//
	// When enabled, the gradients are approximated by averaging the gradients
	// from noisy samples in the vicinity of the inputs. Adding
	// noise can help improve the computed gradients. Refer to this paper for more
	// details: https://arxiv.org/pdf/1706.03825.pdf
	SmoothGradConfig *SmoothGradConfig `protobuf:"bytes,2,opt,name=smooth_grad_config,json=smoothGradConfig,proto3" json:"smooth_grad_config,omitempty"`
	// Config for XRAI with blur baseline.
	//
	// When enabled, a linear path from the maximally blurred image to the input
	// image is created. Using a blurred baseline instead of zero (black image) is
	// motivated by the BlurIG approach explained here:
	// https://arxiv.org/abs/2004.03383
	BlurBaselineConfig *BlurBaselineConfig `protobuf:"bytes,3,opt,name=blur_baseline_config,json=blurBaselineConfig,proto3" json:"blur_baseline_config,omitempty"`
	// contains filtered or unexported fields
}

An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825

Supported only by image Models.

func (*XraiAttribution) Descriptor 

func (*XraiAttribution) Descriptor() ([]byte, []int)

Deprecated: Use XraiAttribution.ProtoReflect.Descriptor instead.

func (*XraiAttribution) GetBlurBaselineConfig 

func (x *XraiAttribution) GetBlurBaselineConfig() *BlurBaselineConfig

func (*XraiAttribution) GetSmoothGradConfig 

func (x *XraiAttribution) GetSmoothGradConfig() *SmoothGradConfig

func (*XraiAttribution) GetStepCount 

func (x *XraiAttribution) GetStepCount() int32

func (*XraiAttribution) ProtoMessage 

func (*XraiAttribution) ProtoMessage()

func (*XraiAttribution) ProtoReflect 

func (x *XraiAttribution) ProtoReflect() protoreflect.Message

func (*XraiAttribution) Reset 

func (x *XraiAttribution) Reset()

func (*XraiAttribution) String 

func (x *XraiAttribution) String() string

Source Files

accelerator_type.pb.go annotation.pb.go annotation_spec.pb.go api_auth.pb.go artifact.pb.go batch_prediction_job.pb.go cached_content.pb.go completion_stats.pb.go content.pb.go context.pb.go custom_job.pb.go data_item.pb.go data_labeling_job.pb.go dataset.pb.go dataset_service.pb.go dataset_version.pb.go deployed_index_ref.pb.go deployed_model_ref.pb.go deployment_resource_pool.pb.go deployment_resource_pool_service.pb.go encryption_spec.pb.go endpoint.pb.go endpoint_service.pb.go entity_type.pb.go env_var.pb.go evaluated_annotation.pb.go evaluation_service.pb.go event.pb.go execution.pb.go explanation.pb.go explanation_metadata.pb.go feature.pb.go feature_group.pb.go feature_monitoring_stats.pb.go feature_online_store.pb.go feature_online_store_admin_service.pb.go feature_online_store_service.pb.go feature_registry_service.pb.go feature_selector.pb.go feature_view.pb.go feature_view_sync.pb.go featurestore.pb.go featurestore_monitoring.pb.go featurestore_online_service.pb.go featurestore_service.pb.go gen_ai_cache_service.pb.go genai_tuning_service.pb.go hyperparameter_tuning_job.pb.go index.pb.go index_endpoint.pb.go index_endpoint_service.pb.go index_service.pb.go io.pb.go job_service.pb.go job_state.pb.go lineage_subgraph.pb.go llm_utility_service.pb.go machine_resources.pb.go manual_batch_tuning_parameters.pb.go match_service.pb.go metadata_schema.pb.go metadata_service.pb.go metadata_store.pb.go migratable_resource.pb.go migration_service.pb.go model.pb.go model_deployment_monitoring_job.pb.go model_evaluation.pb.go model_evaluation_slice.pb.go model_garden_service.pb.go model_monitoring.pb.go model_service.pb.go nas_job.pb.go network_spec.pb.go notebook_euc_config.pb.go notebook_execution_job.pb.go notebook_idle_shutdown_config.pb.go notebook_runtime.pb.go notebook_runtime_template_ref.pb.go notebook_service.pb.go notebook_software_config.pb.go openapi.pb.go operation.pb.go persistent_resource.pb.go persistent_resource_service.pb.go pipeline_failure_policy.pb.go pipeline_job.pb.go pipeline_service.pb.go pipeline_state.pb.go prediction_service.pb.go publisher_model.pb.go reasoning_engine.pb.go reasoning_engine_execution_service.pb.go reasoning_engine_service.pb.go reservation_affinity.pb.go saved_query.pb.go schedule.pb.go schedule_service.pb.go service_networking.pb.go specialist_pool.pb.go specialist_pool_service.pb.go study.pb.go tensorboard.pb.go tensorboard_data.pb.go tensorboard_experiment.pb.go tensorboard_run.pb.go tensorboard_service.pb.go tensorboard_time_series.pb.go tool.pb.go training_pipeline.pb.go tuning_job.pb.go types.pb.go unmanaged_container_model.pb.go user_action_reference.pb.go value.pb.go vertex_rag_data.pb.go vertex_rag_data_service.pb.go vertex_rag_service.pb.go vizier_service.pb.go

Version
v1.73.0 (latest)
Published
Feb 12, 2025
Platform
linux/amd64
Imports
22 packages
Last checked
5 days ago –

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