Package jdistlib.inference

Class SparseSubsetSamplingOptions

java.lang.Object

jdistlib.inference.SparseSubsetSamplingOptions

public final class SparseSubsetSamplingOptions
extends Object

Global warmup target and bounded transition segment for restartable sparse RJMCMC.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final class	SparseSubsetSamplingOptions.Builder

Method Summary

Modifier and Type	Method	Description
boolean	adaptMoveWeights()
static SparseSubsetSamplingOptions.Builder	builder()
double	minimumMoveWeight()
int	segmentTransitions()
boolean	storeDraws()
double	targetJumpAcceptance()
int	thinning()
long	warmupIterations()

Methods inherited from class java.lang.Object

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

Method Details

builder

public static SparseSubsetSamplingOptions.Builder builder()

warmupIterations

public long warmupIterations()

segmentTransitions

public int segmentTransitions()

thinning

public int thinning()

adaptMoveWeights

public boolean adaptMoveWeights()

storeDraws

public boolean storeDraws()

targetJumpAcceptance

public double targetJumpAcceptance()

minimumMoveWeight

public double minimumMoveWeight()