Module es.upm.fi.cig.multictbnc

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

Class PCHybridAlgorithm

java.lang.Object

es.upm.fi.cig.multictbnc.learning.structure.constraintlearning.PC.PC

es.upm.fi.cig.multictbnc.learning.structure.hybrid.PC.PCHybridAlgorithm

All Implemented Interfaces:

StructureLearningAlgorithm

public class PCHybridAlgorithm
extends PC

Implements the restriction phase (PC algorithm) of the hybrid structure learning algorithm.

Constructor Summary

Constructors

Constructor	Description
PCHybridAlgorithm(double significance)	Initialises the algorithm by proving a significance level.

Method Summary

Modifier and Type	Method	Description
boolean[][]	learnSkeleton(PGM<? extends Node> pgm)	Learns the skeleton of a given PGM.

Methods inherited from class es.upm.fi.cig.multictbnc.learning.structure.constraintlearning.PC.PC

buildCompleteStructure, getEdgesPGM, getIdentifier, getParametersAlgorithm, learn, learn, learn, learnSkeleton, orientRemainingUndirectedEdges

Methods inherited from class java.lang.Object

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

Constructor Details

PCHybridAlgorithm

public PCHybridAlgorithm(double significance)

Initialises the algorithm by proving a significance level.

Parameters:

significance - significance level

Method Details

learnSkeleton

public boolean[][] learnSkeleton(PGM<? extends Node> pgm)
                          throws ErroneousValueException

Learns the skeleton of a given PGM.

Parameters:

pgm - probabilistic graphical model

Returns:

adjacency matrix of the skeleton

Throws:

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