distributions

Documentation

Index

• Constants
• type Constant
  • func NewConstant() *Constant
  • func (u *Constant) Next() float64
• type Generator
• type Normal
  • func NewNormal(lb int64, ub int64) *Normal
  • func (u *Normal) Next() float64
• type Number
  • func (n *Number) Last() float64
  • func (n *Number) SetLastValue(value float64)
• type Pareto
  • func NewPareto(scale float64, shape float64) *Pareto
  • func (u *Pareto) Next() float64
• type ProbabilitySlice
  • func GenerateProbabilitySliceFromSpec(samples int64, spec *v1alpha1.DistributionSpec) ProbabilitySlice
  • func (dist ProbabilitySlice) ApplyToFloat64(total float64) []float64
  • func (dist ProbabilitySlice) ApplyToInt64(total int64) []int64
  • func (dist ProbabilitySlice) ApplyToResources(total corev1.ResourceList) v1alpha1.ResourceDistribution
  • func (dist ProbabilitySlice) ApplyToTimeline(startingTime metav1.Time, total metav1.Duration) v1alpha1.Timeline
• type Uniform
  • func NewUniform(lb int64, ub int64) *Uniform
  • func (u *Uniform) Next() float64

Constants

const (
	DefaultParetoScale = 1
	DefaultParetoShape = 0.1
)

const (
	NormalSigma = 4
)

Types

type Constant

type Constant struct {
	Number
}

Constant represents a Constant distribution

func NewConstant

func NewConstant() *Constant

NewConstant creates a new Constant distribution.

func (*Constant) Next

func (u *Constant) Next() float64

Next computes the value of the probability density function at x.

type Generator

type Generator interface {
	Next() float64
	Last() float64
}

type Normal

type Normal struct {
	Impl distuv.Normal

	Number
	// contains filtered or unexported fields
}

Normal represents a normal (Gaussian) distribution (https://en.wikipedia.org/wiki/Normal_distribution).

func NewNormal

func NewNormal(lb int64, ub int64) *Normal

NewNormal creates a new Normal distribution.

func (*Normal) Next

func (u *Normal) Next() float64

Next computes the value of the probability density function at x.

type Number

type Number struct {
	LastValue float64
}

Number is a common generator.

func (*Number) Last

func (n *Number) Last() float64

Last implements the Generator Last interface.

func (*Number) SetLastValue

func (n *Number) SetLastValue(value float64)

SetLastValue sets the last value generated.

type Pareto

type Pareto struct {
	Impl distuv.Pareto

	Number
	// contains filtered or unexported fields
}

Pareto implements the Pareto (Type I) distribution

func NewPareto

func NewPareto(scale float64, shape float64) *Pareto

NewPareto creates a new Pareto distribution.

func (*Pareto) Next

func (u *Pareto) Next() float64

Next computes the value of the probability density function at x.

type ProbabilitySlice

type ProbabilitySlice []float64

ProbabilitySlice provides the value of the probability density function at x.

func GenerateProbabilitySliceFromSpec

func GenerateProbabilitySliceFromSpec(samples int64, spec *v1alpha1.DistributionSpec) ProbabilitySlice

func (ProbabilitySlice) ApplyToFloat64

func (dist ProbabilitySlice) ApplyToFloat64(total float64) []float64

func (ProbabilitySlice) ApplyToInt64

func (dist ProbabilitySlice) ApplyToInt64(total int64) []int64

func (ProbabilitySlice) ApplyToResources

func (dist ProbabilitySlice) ApplyToResources(total corev1.ResourceList) v1alpha1.ResourceDistribution

func (ProbabilitySlice) ApplyToTimeline

func (dist ProbabilitySlice) ApplyToTimeline(startingTime metav1.Time, total metav1.Duration) v1alpha1.Timeline

type Uniform

type Uniform struct {
	Impl distuv.Uniform

	Number
	// contains filtered or unexported fields
}

Uniform represents a continuous uniform distribution (https://en.wikipedia.org/wiki/Uniform_distribution_%28continuous%29).

func NewUniform

func NewUniform(lb int64, ub int64) *Uniform

NewUniform creates a new Uniform distribution.

func (*Uniform) Next

func (u *Uniform) Next() float64

Next computes the value of the probability density function at x.