io.improbable.keanu.algorithms

Interface PosteriorSamplingAlgorithm

All Known Implementing Classes:

Forward, MetropolisHastings, NUTS

public interface PosteriorSamplingAlgorithm

Method Summary

Modifier and Type	Method and Description
NetworkSamplesGenerator	generatePosteriorSamples(ProbabilisticModel model, java.util.List<? extends Variable> variableToSampleFrom)
default NetworkSamples	getPosteriorSamples(ProbabilisticModel model, int sampleCount)
NetworkSamples	getPosteriorSamples(ProbabilisticModel model, java.util.List<? extends Variable> variablesToSampleFrom, int sampleCount)
default NetworkSamples	getPosteriorSamples(ProbabilisticModel model, Variable variableToSampleFrom, int sampleCount)

Method Detail

getPosteriorSamples

default NetworkSamples getPosteriorSamples(ProbabilisticModel model,
                                           Variable variableToSampleFrom,
                                           int sampleCount)

getPosteriorSamples

default NetworkSamples getPosteriorSamples(ProbabilisticModel model,
                                           int sampleCount)

getPosteriorSamples

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

Parameters:

model - a model containing latent variables

variablesToSampleFrom - the variables to include in the returned samples

sampleCount - the number of samples to take

Returns:

samples for each variable

generatePosteriorSamples

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