Package jdistlib.inference

Class HybridSampler

java.lang.Object

jdistlib.inference.HybridSampler

All Implemented Interfaces:

Sampler

public final class HybridSampler
extends Object
implements Sampler

Scheduled support-aware sampler for fixed-dimensional mixed continuous/discrete targets.

Constructor Summary

Constructors

Constructor	Description
HybridSampler(MixedStateSpace space, HybridKernel... schedule)

Method Summary

Modifier and Type	Method	Description
ChainResult	sample(LogDensity target, double[] initialState, SamplingOptions options, RandomEngine random)
HybridSamplingResult	sampleMixed(LogDensity target, double[] initialState, SamplingOptions options, RandomEngine random)

Methods inherited from class java.lang.Object

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

Constructor Details

HybridSampler

public HybridSampler(MixedStateSpace space,
 HybridKernel... schedule)

Method Details

sample

public ChainResult sample(LogDensity target,
 double[] initialState,
 SamplingOptions options,
 RandomEngine random)

Specified by:

sample in interface Sampler

sampleMixed

public HybridSamplingResult sampleMixed(LogDensity target,
 double[] initialState,
 SamplingOptions options,
 RandomEngine random)