Package jdistlib.inference

Class ChainResult

java.lang.Object

jdistlib.inference.ChainResult

public final class ChainResult
extends Object

Immutable retained samples, sampler statistics, adaptation and restart state.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static enum	ChainResult.Status

Constructor Summary

Constructors

Constructor	Description
ChainResult(double[][] samples, double[] logDensities, IterationStats[] statistics, WarmupResult warmup, ChainCheckpoint checkpoint, ChainResult.Status status, List<String> warnings)

Method Summary

Modifier and Type	Method	Description
ChainCheckpoint	checkpoint()
double[][]	constrainedSamples(BayesianModel model)
int	dimension()
double[]	logDensities()
double	logDensityAt(int draw)	Returns one retained log density without copying the chain.
double[]	sample(int index)
double[][]	samples()
int	size()
IterationStats[]	statistics()
IterationStats	statisticsAt(int draw)	Returns immutable statistics for one retained transition.
ChainResult.Status	status()
double	valueAt(int draw, int coordinate)	Returns one retained unconstrained value without copying the chain.
WarmupResult	warmup()
List<String>	warnings()

Methods inherited from class java.lang.Object

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

Constructor Details

ChainResult

public ChainResult(double[][] samples,
 double[] logDensities,
 IterationStats[] statistics,
 WarmupResult warmup,
 ChainCheckpoint checkpoint,
 ChainResult.Status status,
 List<String> warnings)

Method Details

size

public int size()

dimension

public int dimension()

samples

public double[][] samples()

sample

public double[] sample(int index)

valueAt

public double valueAt(int draw,
 int coordinate)

Returns one retained unconstrained value without copying the chain.

logDensityAt

public double logDensityAt(int draw)

Returns one retained log density without copying the chain.

statisticsAt

public IterationStats statisticsAt(int draw)

Returns immutable statistics for one retained transition.

logDensities

public double[] logDensities()

statistics

public IterationStats[] statistics()

warmup

public WarmupResult warmup()

checkpoint

public ChainCheckpoint checkpoint()

status

public ChainResult.Status status()

warnings

public List<String> warnings()

constrainedSamples

public double[][] constrainedSamples(BayesianModel model)