EnumeratedDistributionSamplersPerformance.SamplerSources (Apache Commons RNG JMH Benchmark 1.7 API)

java.lang.Object
- org.apache.commons.rng.examples.jmh.sampling.distribution.EnumeratedDistributionSamplersPerformance.LocalRandomSources
- - org.apache.commons.rng.examples.jmh.sampling.distribution.EnumeratedDistributionSamplersPerformance.SamplerSources

Direct Known Subclasses:

EnumeratedDistributionSamplersPerformance.DirichletDistributionSources, EnumeratedDistributionSamplersPerformance.KnownDistributionSources, EnumeratedDistributionSamplersPerformance.RandomDistributionSources

Enclosing class:

EnumeratedDistributionSamplersPerformance
```
public abstract static class EnumeratedDistributionSamplersPerformance.SamplerSources
extends EnumeratedDistributionSamplersPerformance.LocalRandomSources
```
The DiscreteSampler samplers to use for testing. Creates the sampler for each random source.
This class is abstract. The probability distribution is created by implementations.

Constructor Summary

Constructors
Constructor Description

SamplerSources()

Method Summary

All Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method	Description
`protected abstract double[]`	`createProbabilities()`	Creates the probabilities for the distribution.
`DiscreteSampler`	`createSampler()`	Creates a new instance of the sampler.
`DiscreteSampler`	`getSampler()`	Gets the sampler.
`void`	`setup()`	Create the distribution (per iteration as it may vary) 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
  - SamplerSources
```
public SamplerSources()
```
- Method Detail
  - getSampler
```
public DiscreteSampler getSampler()
```
    Gets the sampler.
    
    Returns:
    
    the sampler.
  - setup
```
public void setup()
```
    Create the distribution (per iteration as it may vary) and instantiates sampler.
    
    Overrides:
    
    setup in class EnumeratedDistributionSamplersPerformance.LocalRandomSources
  - createProbabilities
```
protected abstract double[] createProbabilities()
```
    Creates the probabilities for the distribution.
    
    Returns:
    
    The probabilities.
  - createSampler
```
public DiscreteSampler createSampler()
```
    Creates a new instance of the sampler.
    
    Returns:
    
    The sampler.