package dataset

import "github.com/DataDog/sketches-go/dataset"

Index ¶

• type Constant
• func NewConstant(constant float64) *Constant
• func (s *Constant) Generate() float64
• type Dataset
• func NewDataset() *Dataset
• func (d *Dataset) Add(v float64)
• func (d *Dataset) LowerQuantile(q float64) float64
• func (d *Dataset) Max() float64
• func (d *Dataset) Merge(o *Dataset)
• func (d *Dataset) Min() float64
• func (d *Dataset) Quantile(q float64) float64
• func (d *Dataset) Sum() float64
• func (d *Dataset) UpperQuantile(q float64) float64
• type Exponential
• func NewExponential(rate float64) *Exponential
• func (g *Exponential) Generate() float64
• type Generator
• type Linear
• func NewLinear() *Linear
• func (g *Linear) Generate() float64
• type LinearWithZeroes
• func NewLinearWithZeroes() *LinearWithZeroes
• func (g *LinearWithZeroes) Generate() float64
• type Lognormal
• func NewLognormal(mu, sigma float64) *Lognormal
• func (g *Lognormal) Generate() float64
• type Normal
• func NewNormal(mean, stddev float64) *Normal
• func (g *Normal) Generate() float64
• type Pareto
• func NewPareto(shape, scale float64) *Pareto
• func (g *Pareto) Generate() float64

Types ¶

type Constant ¶

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

Constant stream

func NewConstant ¶

func NewConstant(constant float64) *Constant

func (*Constant) Generate ¶

func (s *Constant) Generate() float64

type Dataset ¶

type Dataset struct {
	Values []float64
	Count  float64
	// contains filtered or unexported fields
}

func NewDataset ¶

func NewDataset() *Dataset

func (*Dataset) Add ¶

func (d *Dataset) Add(v float64)

func (*Dataset) LowerQuantile ¶

func (d *Dataset) LowerQuantile(q float64) float64

func (*Dataset) Max ¶

func (d *Dataset) Max() float64

func (*Dataset) Merge ¶

func (d *Dataset) Merge(o *Dataset)

func (*Dataset) Min ¶

func (d *Dataset) Min() float64

func (*Dataset) Quantile ¶

func (d *Dataset) Quantile(q float64) float64

Quantile returns the lower quantile of the dataset

func (*Dataset) Sum ¶

func (d *Dataset) Sum() float64

func (*Dataset) UpperQuantile ¶

func (d *Dataset) UpperQuantile(q float64) float64

type Exponential ¶

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

Exponential distribution

func NewExponential ¶

func NewExponential(rate float64) *Exponential

func (*Exponential) Generate ¶

func (g *Exponential) Generate() float64

type Generator ¶

type Generator interface {
	Generate() float64
}

type Linear ¶

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

Linearly increasing stream

func NewLinear ¶

func NewLinear() *Linear

func (*Linear) Generate ¶

func (g *Linear) Generate() float64

type LinearWithZeroes ¶

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

Linearly increasing stream, with zeroes once every 2 values.

func NewLinearWithZeroes ¶

func NewLinearWithZeroes() *LinearWithZeroes

func (*LinearWithZeroes) Generate ¶

func (g *LinearWithZeroes) Generate() float64

type Lognormal ¶

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

Lognormal distribution

func NewLognormal ¶

func NewLognormal(mu, sigma float64) *Lognormal

func (*Lognormal) Generate ¶

func (g *Lognormal) Generate() float64

type Normal ¶

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

Normal distribution

func NewNormal ¶

func NewNormal(mean, stddev float64) *Normal

func (*Normal) Generate ¶

func (g *Normal) Generate() float64

type Pareto ¶

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

Pareto distribution

func NewPareto ¶

func NewPareto(shape, scale float64) *Pareto

func (*Pareto) Generate ¶

func (g *Pareto) Generate() float64

Source Files ¶

dataset.go generator.go