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

Class EnumeratedDistributionSamplersPerformance.FastLoadedDiceRollerDiscreteSamplerSources

java.lang.Object

org.apache.commons.rng.examples.jmh.sampling.distribution.EnumeratedDistributionSamplersPerformance.LocalRandomSources

org.apache.commons.rng.examples.jmh.sampling.distribution.EnumeratedDistributionSamplersPerformance.FastLoadedDiceRollerDiscreteSamplerSources

Enclosing class:

EnumeratedDistributionSamplersPerformance

public static class EnumeratedDistributionSamplersPerformance.FastLoadedDiceRollerDiscreteSamplerSources
extends EnumeratedDistributionSamplersPerformance.LocalRandomSources

The FastLoadedDiceRollerDiscreteSampler samplers to use for testing. Creates the sampler for each random source and the probabilities using a Dirichlet distribution.

This class is a specialized source to allow examination of the effect of the FastLoadedDiceRollerDiscreteSampler alpha parameter.

Constructor Summary

Constructors

Constructor	Description
FastLoadedDiceRollerDiscreteSamplerSources()

Method Summary

Modifier and Type	Method	Description
DiscreteSampler	createSampler()	Creates a new instance of the sampler.
DiscreteSampler	getSampler()	Gets the sampler.
void	setup()	Create the distribution probabilities (per iteration as it may vary), the sampler factory and instantiates sampler.

Methods inherited from class org.apache.commons.rng.examples.jmh.sampling.distribution.EnumeratedDistributionSamplersPerformance.LocalRandomSources

getGenerator

Methods inherited from class java.lang.Object

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

Constructor Detail

FastLoadedDiceRollerDiscreteSamplerSources

public FastLoadedDiceRollerDiscreteSamplerSources()

Method Detail

getSampler

public DiscreteSampler getSampler()

Gets the sampler.

Returns:

the sampler.

setup

public void setup()

Create the distribution probabilities (per iteration as it may vary), the sampler factory and instantiates sampler.

Overrides:

setup in class EnumeratedDistributionSamplersPerformance.LocalRandomSources

createSampler

public DiscreteSampler createSampler()

Creates a new instance of the sampler.

Returns:

The sampler.