Package weka.classifiers.bayes.net
Class BayesNetGenerator
java.lang.Object
weka.classifiers.AbstractClassifier
weka.classifiers.bayes.BayesNet
weka.classifiers.bayes.net.EditableBayesNet
weka.classifiers.bayes.net.BayesNetGenerator
- All Implemented Interfaces:
Serializable,Cloneable,Classifier,AdditionalMeasureProducer,BatchPredictor,CapabilitiesHandler,CapabilitiesIgnorer,CommandlineRunnable,Drawable,OptionHandler,RevisionHandler,WeightedInstancesHandler
Bayes Network learning using various search
algorithms and quality measures.
Base class for a Bayes Network classifier. Provides datastructures (network structure, conditional probability distributions, etc.) and facilities common to Bayes Network learning algorithms like K2 and B.
For more information see:
http://www.cs.waikato.ac.nz/~remco/weka.pdf Valid options are:
Base class for a Bayes Network classifier. Provides datastructures (network structure, conditional probability distributions, etc.) and facilities common to Bayes Network learning algorithms like K2 and B.
For more information see:
http://www.cs.waikato.ac.nz/~remco/weka.pdf Valid options are:
-B Generate network (instead of instances)
-N <integer> Nr of nodes
-A <integer> Nr of arcs
-M <integer> Nr of instances
-C <integer> Cardinality of the variables
-S <integer> Seed for random number generator
-F <file> The BIF file to obtain the structure from.
- Version:
- $Revision: 12448 $
- Author:
- Remco Bouckaert (rrb@xm.co.nz)
- See Also:
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Field Summary
Fields inherited from class weka.classifiers.bayes.BayesNet
m_Distributions, m_InstancesFields inherited from class weka.classifiers.AbstractClassifier
BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULTFields inherited from interface weka.core.Drawable
BayesNet, Newick, NOT_DRAWABLE, TREE -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionvoidGenerateInstances generates random instances sampling from the distribution represented by the Bayes network structure.voidGenerate random connected Bayesian network with discrete nodes having all the same cardinality.voidgenerateRandomNetworkStructure(int nNodes, int nArcs) GenerateRandomNetworkStructure generate random connected Bayesian networkString[]Gets the current settings of the classifier.Returns the revision string.voidInit(int nNodes, int nValues) Init defines a minimal Bayes net with no arcsReturns an enumeration describing the available optionsstatic voidMain methodvoidsetOptions(String[] options) Parses a given list of options.toString()Returns either the net (if BIF format) or the generated instancesMethods inherited from class weka.classifiers.bayes.net.EditableBayesNet
addArc, addArc, addArc, addNode, addNode, addNodeValue, alignBottom, alignLeft, alignRight, alignTop, canRedo, canUndo, centerHorizontal, centerVertical, clearUndoStack, deleteArc, deleteArc, deleteNode, deleteNode, deleteSelection, delNodeValue, getChildren, getContent, getDistribution, getDistribution, getEvidence, getMargin, getNode, getNode2, getPositionX, getPositionY, getValueName, getValues, getValues, isChanged, isSaved, lastActionMsg, layoutGraph, paste, redo, renameNodeValue, setData, setDistribution, setDistribution, setEvidence, setMargin, setNodeName, setPosition, setPosition, spaceHorizontal, spaceVertical, toXMLBIF03, toXMLBIF03, undoMethods inherited from class weka.classifiers.bayes.BayesNet
BIFFileTipText, buildClassifier, buildStructure, countsForInstance, distributionForInstance, enumerateMeasures, estimateCPTs, estimatorTipText, getADTree, getBIFFile, getBIFHeader, getCapabilities, getCardinality, getDistributions, getEstimator, getMeasure, getName, getNodeName, getNodeValue, getNrOfNodes, getNrOfParents, getNumInstances, 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, updateClassifier, useADTreeTipTextMethods inherited from class weka.classifiers.AbstractClassifier
batchSizeTipText, classifyInstance, debugTipText, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces
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Constructor Details
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BayesNetGenerator
public BayesNetGenerator()Constructor for BayesNetGenerator.
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Method Details
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generateRandomNetwork
Generate random connected Bayesian network with discrete nodes having all the same cardinality.- Throws:
Exception- if something goes wrong
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Init
Init defines a minimal Bayes net with no arcs- Parameters:
nNodes- number of nodes in the Bayes netnValues- number of values each of the nodes can take- Throws:
Exception- if something goes wrong
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generateRandomNetworkStructure
GenerateRandomNetworkStructure generate random connected Bayesian network- Parameters:
nNodes- number of nodes in the Bayes net to generatenArcs- number of arcs to generate. Must be between nNodes - 1 and nNodes * (nNodes-1) / 2- Throws:
Exception- if number of arcs is incorrect
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generateInstances
GenerateInstances generates random instances sampling from the distribution represented by the Bayes network structure. It assumes a Bayes network structure has been initialized- Throws:
Exception- if something goes wrong
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toString
Returns either the net (if BIF format) or the generated instances -
listOptions
Returns an enumeration describing the available options- Specified by:
listOptionsin interfaceOptionHandler- Overrides:
listOptionsin classBayesNet- Returns:
- an enumeration of all the available options
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setOptions
Parses a given list of options. Valid options are:-B Generate network (instead of instances)
-N <integer> Nr of nodes
-A <integer> Nr of arcs
-M <integer> Nr of instances
-C <integer> Cardinality of the variables
-S <integer> Seed for random number generator
-F <file> The BIF file to obtain the structure from.
- Specified by:
setOptionsin interfaceOptionHandler- Overrides:
setOptionsin classBayesNet- Parameters:
options- the list of options as an array of strings- Throws:
Exception- if an option is not supported
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getOptions
Gets the current settings of the classifier.- Specified by:
getOptionsin interfaceOptionHandler- Overrides:
getOptionsin classBayesNet- Returns:
- an array of strings suitable for passing to setOptions
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getRevision
Returns the revision string.- Specified by:
getRevisionin interfaceRevisionHandler- Overrides:
getRevisionin classEditableBayesNet- Returns:
- the revision
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main
Main method- Parameters:
args- the commandline parameters
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