io.improbable.keanu.distributions.continuous

Class Logistic

java.lang.Object

io.improbable.keanu.distributions.continuous.Logistic

All Implemented Interfaces:

ContinuousDistribution, Distribution<DoubleTensor>

public class Logistic
extends java.lang.Object
implements ContinuousDistribution

Method Summary

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

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 mu,
                                                    DoubleTensor s)

Parameters:

mu - location parameter (any real number)

s - scale parameter (b greater than 0)

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 mu,
                                         LogProbGraph.DoublePlaceholderVertex s)

dLogProb

public Diffs dLogProb(DoubleTensor x)

Specified by:

dLogProb in interface ContinuousDistribution