var File_google_cloud_aiplatform_logging_prediction_proto protoreflect.FileDescriptor

type OnlinePredictionLogEntry struct {

	// The resource name of the endpoint as referred to in the original request.
	// For example, projects/12323/locations/us-central1/endpoints/123.
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// The ID of the deployed model used to serve this predict request.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The number of instances in the prediction request.
	InstanceCount int64 `protobuf:"varint,3,opt,name=instance_count,json=instanceCount,proto3" json:"instance_count,omitempty"`
	// The number of successfully predicted instances in the response.
	// Populated when prediction succeeds.
	PredictionCount int64 `protobuf:"varint,4,opt,name=prediction_count,json=predictionCount,proto3" json:"prediction_count,omitempty"`
	// The error code and message.
	// Populated when prediction fails.
	Error *status.Status `protobuf:"bytes,5,opt,name=error,proto3" json:"error,omitempty"`
	// contains filtered or unexported fields
}