io.improbable.keanu

Class Keanu.Sampling.MCMC

java.lang.Object

io.improbable.keanu.Keanu.Sampling.MCMC

Enclosing class:

Keanu.Sampling

public static class Keanu.Sampling.MCMC
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
MCMC()

Method Summary

Modifier and Type	Method and Description
PosteriorSamplingAlgorithm	withDefaultConfigFor(KeanuProbabilisticModel model)
PosteriorSamplingAlgorithm	withDefaultConfigFor(KeanuProbabilisticModel model, KeanuRandom random)

Methods inherited from class java.lang.Object

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

Constructor Detail

MCMC

public MCMC()

Method Detail

withDefaultConfigFor

public PosteriorSamplingAlgorithm withDefaultConfigFor(KeanuProbabilisticModel model)

Parameters:

model - network for which to choose sampling algorithm.

Returns:

recommended sampling algorithm for this network.

withDefaultConfigFor

public PosteriorSamplingAlgorithm withDefaultConfigFor(KeanuProbabilisticModel model,
                                                       KeanuRandom random)

Parameters:

model - network for which to choose sampling algorithm.

random - the random number generator.

Returns:

recommended sampling algorithm for this network.