Class DirichletSampler.GeneralDirichletSampler

java.lang.Object

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

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

All Implemented Interfaces:

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

Enclosing class:

DirichletSampler

private static final class DirichletSampler.GeneralDirichletSampler
extends DirichletSampler

Sample from a Dirichlet distribution with different concentration parameters for each category.

Since:

1.4

Field Summary

Fields

Modifier and Type	Field	Description
private final SharedStateContinuousSampler[]	samplers	Samplers for each category.

Constructor Summary

Constructors

Constructor	Description
GeneralDirichletSampler(UniformRandomProvider rng, SharedStateContinuousSampler[] samplers)

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.GeneralDirichletSampler	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 DirichletSampler

of, sample, symmetric, toString

Methods inherited from class Object

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

Methods inherited from interface ObjectSampler

samples, samples

Field Details

samplers

private final SharedStateContinuousSampler[] samplers

Samplers for each category.

Constructor Details

GeneralDirichletSampler

GeneralDirichletSampler(UniformRandomProvider rng,
 SharedStateContinuousSampler[] samplers)

Parameters:

rng - Generator of uniformly distributed random numbers.

samplers - Samplers for each category.

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.GeneralDirichletSampler 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