lio.probdistributions.bitchain
Class DependencyNetworkProbDistribution

java.lang.Object
  lio.probdistributions.bitchain.DependencyNetworkProbDistribution

All Implemented Interfaces:

LiOResource, ProbDistribution

Direct Known Subclasses:

MultivariateMI_DN

public abstract class DependencyNetworkProbDistribution
extends java.lang.Object
implements ProbDistribution

This abstract class implements common features that are needed for multivariate probability distributions that allow cycles (dependency networks) like Gibbs sampling.

Field Summary

protected boolean	laplace
protected MultivariateModel	network

Constructor Summary

DependencyNetworkProbDistribution()

Method Summary

boolean	isLaplace()
Individual[]	sample(int nIndividuals) Samples some individuals from a probability distribution
void	setLaplace(boolean laplace)

Methods inherited from class java.lang.Object

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

Methods inherited from interface lio.probdistributions.ProbDistribution

learn

Methods inherited from interface lio.core.LiOResource

getDefinition

Field Detail

network

protected MultivariateModel network

laplace

protected boolean laplace

Constructor Detail

DependencyNetworkProbDistribution

public DependencyNetworkProbDistribution()

Method Detail

sample

public Individual[] sample(int nIndividuals)

Description copied from interface: ProbDistribution

Samples some individuals from a probability distribution

Specified by:

sample in interface ProbDistribution

Returns:

Array containing the sampled individuals

isLaplace

public boolean isLaplace()

Returns:

Returns the laplace.

setLaplace

public void setLaplace(boolean laplace)

Parameters:

laplace - The laplace to set.