Module es.upm.fi.cig.multictbnc

Package es.upm.fi.cig.multictbnc.learning.structure.optimisation.scores.ctbn

Class CTBNConditionalLogLikelihood

java.lang.Object

es.upm.fi.cig.multictbnc.learning.structure.optimisation.scores.AbstractLikelihood

es.upm.fi.cig.multictbnc.learning.structure.optimisation.scores.ctbn.CTBNConditionalLogLikelihood

All Implemented Interfaces:

CTBNScoreFunction

public class CTBNConditionalLogLikelihood
extends AbstractLikelihood
implements CTBNScoreFunction

Implements the conditional log-likelihood score for Multi-CTBNCs with nodes that have CPTs and CIMs to define its bridge and feature subgraph (represented by a CTBN). This score is used to perform a discriminative training.

Constructor Summary

Constructors

Constructor	Description
CTBNConditionalLogLikelihood(String penalisationFunction)	Receives the name of the penalisation function for the structure complexity.

Method Summary

Modifier and Type	Method	Description
double	compute(CTBN<? extends Node> ctbn)	Computes the (penalised) conditional log-likelihood score of a discrete continuous-time Bayesian network.
double	compute(CTBN<? extends Node> ctbn, int nodeIndex)	Computes the score of a continuous-time Bayesian network at a given node.
String	getIdentifier()	Gets an identifier for the score function.
boolean	isDecomposable()	Determines if the score is decomposable.

Methods inherited from class es.upm.fi.cig.multictbnc.learning.structure.optimisation.scores.AbstractLikelihood

getNamePenalisationFunction, getPenalisationFunction

Methods inherited from class java.lang.Object

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

Methods inherited from interface es.upm.fi.cig.multictbnc.learning.structure.optimisation.scores.ctbn.CTBNScoreFunction

getNamePenalisationFunction

Constructor Details

CTBNConditionalLogLikelihood

public CTBNConditionalLogLikelihood(String penalisationFunction)

Receives the name of the penalisation function for the structure complexity.

Parameters:

penalisationFunction - name of the penalisation function

Method Details

compute

public double compute(CTBN<? extends Node> ctbn)

Computes the (penalised) conditional log-likelihood score of a discrete continuous-time Bayesian network. This is based on the idea of optimising the conditional log-likelihood proposed by Friedman et al., 1997.

Specified by:

compute in interface CTBNScoreFunction

Parameters:

ctbn - a continuous-time Bayesian network

Returns:

score

compute

public double compute(CTBN<? extends Node> ctbn,
 int nodeIndex)

Description copied from interface: CTBNScoreFunction

Computes the score of a continuous-time Bayesian network at a given node.

Specified by:

compute in interface CTBNScoreFunction

Parameters:

ctbn - a continuous-time Bayesian network

nodeIndex - node index

Returns:

score

getIdentifier

public String getIdentifier()

Description copied from interface: CTBNScoreFunction

Gets an identifier for the score function.

Specified by:

getIdentifier in interface CTBNScoreFunction

Returns:

identifier for the score function.

isDecomposable

public boolean isDecomposable()

Description copied from interface: CTBNScoreFunction

Determines if the score is decomposable.

Specified by:

isDecomposable in interface CTBNScoreFunction

Returns:

true if the score is decomposable, false otherwise