Package jdistlib.inference

Class NoUTurnSampler

java.lang.Object

jdistlib.inference.NoUTurnSampler

All Implemented Interfaces:

ResumableSampler, Sampler

public final class NoUTurnSampler
extends Object
implements ResumableSampler

Multinomial-candidate NUTS with windowed adaptation and configurable metrics.

Constructor Summary

Constructors

Constructor	Description
NoUTurnSampler()

Method Summary

Modifier and Type	Method	Description
ChainResult	resume(LogDensity target, ChainCheckpoint checkpoint, SamplingOptions options)
ChainResult	sample(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

NoUTurnSampler

public NoUTurnSampler()

Method Details

sample

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

Specified by:

sample in interface Sampler

resume

public ChainResult resume(LogDensity target,
 ChainCheckpoint checkpoint,
 SamplingOptions options)

Specified by:

resume in interface ResumableSampler