Package org.apache.commons.rng.sampling.distribution

Class DirichletSampler.SymmetricDirichletSampler

java.lang.Object

org.apache.commons.rng.sampling.distribution.DirichletSampler

org.apache.commons.rng.sampling.distribution.DirichletSampler.SymmetricDirichletSampler

All Implemented Interfaces:

ObjectSampler<double[]>, SharedStateObjectSampler<double[]>, SharedStateSampler<SharedStateObjectSampler<double[]>>

Enclosing class:

DirichletSampler

private static final class DirichletSampler.SymmetricDirichletSampler
extends DirichletSampler

Sample from a symmetric Dirichlet distribution with the same concentration parameter for each category.

Field Summary

Fields

Modifier and Type	Field	Description
private final int	k	Number of categories.
private final SharedStateContinuousSampler	sampler	Sampler for the categories.

Constructor Summary

Constructors

Constructor	Description
SymmetricDirichletSampler(UniformRandomProvider rng, int k, SharedStateContinuousSampler sampler)

Method Summary

Modifier and Type	Method	Description
protected int	getK()	Gets the number of categories.
protected double	nextGamma(int i)	Create a gamma sample for the given category.
DirichletSampler.SymmetricDirichletSampler	withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

Methods inherited from class org.apache.commons.rng.sampling.distribution.DirichletSampler

of, sample, symmetric, toString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.apache.commons.rng.sampling.ObjectSampler

samples, samples

Field Details

k

private final int k

Number of categories.

sampler

private final SharedStateContinuousSampler sampler

Sampler for the categories.

Constructor Details

SymmetricDirichletSampler

SymmetricDirichletSampler(UniformRandomProvider rng,
 int k,
 SharedStateContinuousSampler sampler)

Parameters:

rng - Generator of uniformly distributed random numbers.

k - Number of categories.

sampler - Sampler for the categories.

Method Details

getK

protected int getK()

Description copied from class: DirichletSampler

Gets the number of categories.

Specified by:

getK in class DirichletSampler

Returns:

k

nextGamma

protected double nextGamma(int i)

Description copied from class: DirichletSampler

Create a gamma sample for the given category.

Specified by:

nextGamma in class DirichletSampler

Parameters:

i - Category.

Returns:

the sample

withUniformRandomProvider

public DirichletSampler.SymmetricDirichletSampler withUniformRandomProvider(UniformRandomProvider rng)

Description copied from class: DirichletSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

Specified by:

withUniformRandomProvider in interface SharedStateSampler<SharedStateObjectSampler<double[]>>

Specified by:

withUniformRandomProvider in class DirichletSampler

Parameters:

rng - Generator of uniformly distributed random numbers.

Returns:

the sampler