io.improbable.keanu.algorithms.sampling

Class Forward

java.lang.Object

io.improbable.keanu.algorithms.sampling.Forward

All Implemented Interfaces:

PosteriorSamplingAlgorithm

public class Forward
extends java.lang.Object
implements PosteriorSamplingAlgorithm

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Forward.ForwardBuilder

Constructor Summary

Constructors

Constructor and Description
Forward(KeanuRandom random, boolean calculateSampleProbability)

Method Summary

Modifier and Type	Method and Description
static Forward.ForwardBuilder	builder()
NetworkSamplesGenerator	generatePosteriorSamples(ProbabilisticModel model, java.util.List<? extends Variable> variablesToSampleFrom)
NetworkSamples	getPosteriorSamples(ProbabilisticModel model, java.util.List<? extends Variable> variablesToSampleFrom, int sampleCount) Samples from the prior of a Probabilistic Model.

Methods inherited from class java.lang.Object

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

Methods inherited from interface io.improbable.keanu.algorithms.PosteriorSamplingAlgorithm

getPosteriorSamples, getPosteriorSamples

Constructor Detail

Forward

public Forward(KeanuRandom random,
               boolean calculateSampleProbability)

Method Detail

builder

public static Forward.ForwardBuilder builder()

getPosteriorSamples

public NetworkSamples getPosteriorSamples(ProbabilisticModel model,
                                          java.util.List<? extends Variable> variablesToSampleFrom,
                                          int sampleCount)

Samples from the prior of a Probabilistic Model.

Samples are taken by sampling from the prior of the desired variables in topological order.

Specified by:

getPosteriorSamples in interface PosteriorSamplingAlgorithm

Parameters:

model - the model to sample from

variablesToSampleFrom - the variables to sample from

sampleCount - the number of samples to take

Returns:

sampling samples of a computable graph

generatePosteriorSamples

public NetworkSamplesGenerator generatePosteriorSamples(ProbabilisticModel model,
                                                        java.util.List<? extends Variable> variablesToSampleFrom)

Specified by:

generatePosteriorSamples in interface PosteriorSamplingAlgorithm