FactorizedDistribution

A multivariate distribution that has independent distributions for separate axis.

Constructors

constructor(distributions: Collection<NamedDistribution<T>>)

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

Samples one value from this Sampler.

Samples a Buffer of values from this Sampler.

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

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

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

Generates a chain of samples.

@JvmName(name = "sampleRealBuffer")

Generates size real samples and chunks them into some buffers.

@JvmName(name = "sampleIntBuffer")

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