weka.classifiers.bayes.net
Class BayesNetGenerator

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

All Implemented Interfaces:

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

public class BayesNetGenerator

extends BayesNet

BayesNetGenerator offers facilities for generating random Bayes networks and random instances based on a Bayes network.

Version:

$Revision: 1.4 $

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

BayesNetGenerator()
Constructor for BayesNetGenerator.

Method Summary

void	generateInstances()
void	generateRandomNetwork()
void	generateRandomNetworkStructure(int nNodes, int nArcs)
java.lang.String[]	getOptions() Gets the current settings of the classifier.
void	Init(int nNodes, int nValues)
java.util.Enumeration	listOptions() Returns an enumeration describing the available options
static void	main(java.lang.String[] Argv) Main method for testing this class.
void	setOptions(java.lang.String[] options) Parses a given list of options.
java.lang.String	toString() Returns a description of the classifier.

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, getParent, getParentCardinality, getParentSet, getParentSets, getProbability, getSearchAlgorithm, getUseADTree, globalInfo, graph, graphType, initCPTs, initStructure, measureAICScore, measureBayesScore, measureBDeuScore, measureDivergence, measureEntropyScore, measureExtraArcs, measureMDLScore, measureMissingArcs, measureReversedArcs, partitionOptions, searchAlgorithmTipText, setBIFFile, setEstimator, setSearchAlgorithm, setUseADTree, 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

BayesNetGenerator

public BayesNetGenerator()

Constructor for BayesNetGenerator.

Method Detail

generateRandomNetwork

public void generateRandomNetwork()
                           throws java.lang.Exception

Throws:

java.lang.Exception

Init

public void Init(int nNodes,
                 int nValues)
          throws java.lang.Exception

Throws:

java.lang.Exception

generateRandomNetworkStructure

public void generateRandomNetworkStructure(int nNodes,
                                           int nArcs)
                                    throws java.lang.Exception

Throws:

java.lang.Exception

generateInstances

public void generateInstances()

toString

public java.lang.String toString()

Description copied from class: BayesNet

Returns a description of the classifier.

Overrides:

toString in class BayesNet

Returns:

a description of the classifier as a string.

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class BayesNet

Returns:

an enumeration of all the available options

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options. Valid options are:

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class BayesNet

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the classifier.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class BayesNet

Returns:

an array of strings suitable for passing to setOptions

main

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

Description copied from class: BayesNet

Main method for testing this class.