Module es.upm.fi.cig.multictbnc

Package es.upm.fi.cig.multictbnc.learning.structure.hybrid

Class BNHybridStructureLearningAlgorithm

java.lang.Object

es.upm.fi.cig.multictbnc.learning.structure.hybrid.BNHybridStructureLearningAlgorithm

All Implemented Interfaces:

StructureLearningAlgorithm

public class BNHybridStructureLearningAlgorithm
extends Object
implements StructureLearningAlgorithm

Implements the hybrid structure learning algorithm for Bayesian networks. This class was designed to learn the class subgraph of a Multi-CTBNC.

Constructor Summary

Constructors

Constructor	Description
BNHybridStructureLearningAlgorithm(BNScoreFunction scoreFunction, double significance)	Initialises the hybrid structure learning algorithm receiving a significance value and a score function.

Method Summary

Modifier and Type	Method	Description
String	getIdentifier()	Returns a unique identifier for the structure learning algorithm.
Map<String,String>	getParametersAlgorithm()	Returns the parameters that are used by the algorithm.
void	learn(PGM<? extends Node> pgm)	Learns the structure of a certain PGM.
void	learn(PGM<? extends Node> pgm, int idxNode)	Learn the local structure of a certain node of a PGM.
void	learn(PGM<? extends Node> pgm, List<Integer> idxNodes)	Learns the local structure of certain nodes of a PGM.

Methods inherited from class java.lang.Object

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

Constructor Details

BNHybridStructureLearningAlgorithm

public BNHybridStructureLearningAlgorithm(BNScoreFunction scoreFunction,
 double significance)

Initialises the hybrid structure learning algorithm receiving a significance value and a score function.

Parameters:

scoreFunction - score function for the maximisation phase

significance - significance level for the restriction phase

Method Details

getIdentifier

public String getIdentifier()

Description copied from interface: StructureLearningAlgorithm

Returns a unique identifier for the structure learning algorithm.

Specified by:

getIdentifier in interface StructureLearningAlgorithm

Returns:

unique identifier for the structure learning algorithm

getParametersAlgorithm

public Map<String,String> getParametersAlgorithm()

Description copied from interface: StructureLearningAlgorithm

Returns the parameters that are used by the algorithm.

Specified by:

getParametersAlgorithm in interface StructureLearningAlgorithm

Returns:

a Map with the parameters used by the algorithm

learn

public void learn(PGM<? extends Node> pgm,
 List<Integer> idxNodes)

Description copied from interface: StructureLearningAlgorithm

Learns the local structure of certain nodes of a PGM.

Specified by:

learn in interface StructureLearningAlgorithm

Parameters:

pgm - a probabilistic graphical model

idxNodes - node indexes

learn

public void learn(PGM<? extends Node> pgm)
           throws ErroneousValueException

Description copied from interface: StructureLearningAlgorithm

Learns the structure of a certain PGM.

Specified by:

learn in interface StructureLearningAlgorithm

Parameters:

pgm - a probabilistic graphical model

Throws:

ErroneousValueException - if a parameter provided is invalid for the requested task

learn

public void learn(PGM<? extends Node> pgm,
 int idxNode)

Description copied from interface: StructureLearningAlgorithm

Learn the local structure of a certain node of a PGM.

Specified by:

learn in interface StructureLearningAlgorithm

Parameters:

pgm - a probabilistic graphical model

idxNode - node index