weka.classifiers.bayes.net
Class BIFReader

java.lang.Object
  weka.classifiers.Classifier
      weka.classifiers.bayes.BayesNet
          weka.classifiers.bayes.net.BIFReader

All Implemented Interfaces:

AdditionalMeasureProducer, java.lang.Cloneable, Drawable, OptionHandler, java.io.Serializable, WeightedInstancesHandler

public class BIFReader

extends BayesNet

Builds a description of a Bayes Net classifier stored in XML BIF 0.3 format. See http://www-2.cs.cmu.edu/~fgcozman/Research/InterchangeFormat/ for details on XML BIF.

Version:

$Revision: 1.5 $

Author:

Remco Bouckaert (rrb@xm.co.nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.bayes.BayesNet

m_Distributions, m_Instances

Fields inherited from interface weka.core.Drawable

BayesNet, NOT_DRAWABLE, TREE

Constructor Summary

BIFReader()

Method Summary

double	divergence(BayesNet other) calculates the divergence between the probability distribution represented by this network and that of another, that is, \sum_{x\in X} P(x)log P(x)/Q(x) where X is the set of values the nodes in the network can take, P(x) the probability of this network for configuration x Q(x) the probability of the other network for configuration x
int	extraArcs(BayesNet other) Count nr of exta arcs from other network compared to current network Note that an arc is not 'extra' if it is reversed.
java.lang.String	getFileName()
int	getNode(java.lang.String sNodeName) getNode finds the index of the node with name sNodeName and throws an exception if no such node can be found.
static void	main(java.lang.String[] args) Main method for testing this class.
int	missingArcs(BayesNet other) Count nr of arcs missing from other network compared to current network Note that an arc is not 'missing' if it is reversed.
BIFReader	processFile(java.lang.String sFile) processFile reads a BIFXML file and initializes a Bayes Net
int	reversedArcs(BayesNet other) Count nr of reversed arcs from other network compared to current network

Methods inherited from class weka.classifiers.bayes.BayesNet

BIFFileTipText, buildClassifier, buildStructure, countsForInstance, distributionForInstance, enumerateMeasures, estimateCPTs, estimatorTipText, getADTree, getBIFFile, getCardinality, getDistributions, getEstimator, getMeasure, getName, getNodeName, getNodeValue, getNrOfNodes, getNrOfParents, getOptions, getParent, getParentCardinality, getParentSet, getParentSets, getProbability, getSearchAlgorithm, getUseADTree, globalInfo, graph, graphType, initCPTs, initStructure, listOptions, measureAICScore, measureBayesScore, measureBDeuScore, measureDivergence, measureEntropyScore, measureExtraArcs, measureMDLScore, measureMissingArcs, measureReversedArcs, partitionOptions, searchAlgorithmTipText, setBIFFile, setEstimator, setOptions, setSearchAlgorithm, setUseADTree, toString, toXMLBIF03, updateClassifier, useADTreeTipText

Methods inherited from class weka.classifiers.Classifier

classifyInstance, debugTipText, forName, getDebug, makeCopies, setDebug

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

BIFReader

public BIFReader()

Method Detail

processFile

public BIFReader processFile(java.lang.String sFile)
                      throws java.lang.Exception

processFile reads a BIFXML file and initializes a Bayes Net

Throws:

java.lang.Exception

getFileName

public java.lang.String getFileName()

getNode

public int getNode(java.lang.String sNodeName)
            throws java.lang.Exception

getNode finds the index of the node with name sNodeName and throws an exception if no such node can be found.

Returns:

index of the node with name sNodeName

Throws:

java.lang.Exception

missingArcs

public int missingArcs(BayesNet other)

Count nr of arcs missing from other network compared to current network Note that an arc is not 'missing' if it is reversed.

Returns:

nr of missing arcs

extraArcs

public int extraArcs(BayesNet other)

Count nr of exta arcs from other network compared to current network Note that an arc is not 'extra' if it is reversed.

Returns:

nr of missing arcs

divergence

public double divergence(BayesNet other)

calculates the divergence between the probability distribution represented by this network and that of another, that is, \sum_{x\in X} P(x)log P(x)/Q(x) where X is the set of values the nodes in the network can take, P(x) the probability of this network for configuration x Q(x) the probability of the other network for configuration x

Returns:

divergence between this and other Bayes Network

reversedArcs

public int reversedArcs(BayesNet other)

Count nr of reversed arcs from other network compared to current network

Returns:

nr of missing arcs

main

public static void main(java.lang.String[] args)

Description copied from class: BayesNet

Main method for testing this class.