io.improbable.keanu.distributions.continuous

Class Uniform

java.lang.Object

io.improbable.keanu.distributions.continuous.Uniform

All Implemented Interfaces:

ContinuousDistribution, Distribution<DoubleTensor>

public class Uniform
extends java.lang.Object
implements ContinuousDistribution

Computer Generation of Statistical Distributions by Richard Saucier ARL-TR-2168 March 2000 5.1.8 page 48

Method Summary

Modifier and Type	Method and Description
Diffs	dLogProb(DoubleTensor x)
DoubleTensor	logProb(DoubleTensor x)
static DoubleVertex	logProbOutput(LogProbGraph.DoublePlaceholderVertex x, LogProbGraph.DoublePlaceholderVertex xMin, LogProbGraph.DoublePlaceholderVertex xMax)
DoubleTensor	sample(long[] shape, KeanuRandom random)
static ContinuousDistribution	withParameters(DoubleTensor xMin, DoubleTensor xMax)

Methods inherited from class java.lang.Object

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

Method Detail

withParameters

public static ContinuousDistribution withParameters(DoubleTensor xMin,
                                                    DoubleTensor xMax)

Parameters:

xMin - minimum x value

xMax - maximum x value

Returns:

a new ContinuousDistribution object

sample

public DoubleTensor sample(long[] shape,
                           KeanuRandom random)

Specified by:

sample in interface Distribution<DoubleTensor>

logProb

public DoubleTensor logProb(DoubleTensor x)

Specified by:

logProb in interface Distribution<DoubleTensor>

logProbOutput

public static DoubleVertex logProbOutput(LogProbGraph.DoublePlaceholderVertex x,
                                         LogProbGraph.DoublePlaceholderVertex xMin,
                                         LogProbGraph.DoublePlaceholderVertex xMax)

dLogProb

public Diffs dLogProb(DoubleTensor x)

Specified by:

dLogProb in interface ContinuousDistribution