kmath-stat/space.kscience.kmath.stat/Sampler

Sampler

fun interface Sampler<out T : Any>

Sampler that generates chains of values of type T.

Functions

abstract fun sample(generator: RandomGenerator): Chain<T>

Generates a chain of samples.

Inheritors

AhrensDieterExponentialSampler

AhrensDieterMarsagliaTsangGammaSampler

AliasMethodDiscreteSampler

KempSmallMeanPoissonSampler

BlockingDoubleSampler

SmallMeanPoissonSampler

LargeMeanPoissonSampler

ConstantSampler

Extensions

suspend fun <T : Any> Sampler<T>.next(generator: RandomGenerator): T

Samples one value from this Sampler.

suspend fun Sampler<Double>.nextBuffer(generator: RandomGenerator, size: Int): Buffer<Double>

Samples a Buffer of values from this Sampler.

fun <T : Any> Sampler<T>.sampleBuffer(generator: RandomGenerator, size: Int, bufferFactory: BufferFactory<T> = Buffer.Companion::boxing): Chain<Buffer<T>>

Sample a bunch of values

@JvmName(name = "sampleRealBuffer")

fun Sampler<Double>.sampleBuffer(generator: RandomGenerator, size: Int): Chain<Buffer<Double>>

Generates size real samples and chunks them into some buffers.

@JvmName(name = "sampleIntBuffer")

fun Sampler<Int>.sampleBuffer(generator: RandomGenerator, size: Int): Chain<Buffer<Int>>

Generates size integer samples and chunks them into some buffers.

Sources