NamedDistributionWrapper

class NamedDistributionWrapper<T : Any>(val name: String, val distribution: Distribution<T>) : NamedDistribution<T> (source)

Constructors

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constructor(name: String, distribution: Distribution<T>)

Functions

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

Samples one value from this Sampler.

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

Samples a Buffer of values from this Sampler.

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open override fun probability(arg: Map<String, T>): Double

A probability value for given argument arg. For continuous distributions returns PDF

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open override fun sample(generator: RandomGenerator): Chain<Map<String, T>>

Generates a chain of samples.

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@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.

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

Sample a bunch of values

Properties

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