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java.lang.Objectweka.classifiers.bayes.net.search.SearchAlgorithm
weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
weka.classifiers.bayes.net.search.global.TAN
public class TAN
This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree.
For more information see:
N. Friedman, D. Geiger, M. Goldszmidt (1997). Bayesian network classifiers. Machine Learning. 29(2-3):131-163.
@article{Friedman1997,
author = {N. Friedman and D. Geiger and M. Goldszmidt},
journal = {Machine Learning},
number = {2-3},
pages = {131-163},
title = {Bayesian network classifiers},
volume = {29},
year = {1997}
}
Valid options are:
-mbc Applies a Markov Blanket correction to the network structure, after a network structure is learned. This ensures that all nodes in the network are part of the Markov blanket of the classifier node.
-S [LOO-CV|k-Fold-CV|Cumulative-CV] Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q Use probabilistic or 0/1 scoring. (default probabilistic scoring)
| Field Summary |
|---|
| Fields inherited from class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm |
|---|
TAGS_CV_TYPE |
| Constructor Summary | |
|---|---|
TAN()
|
|
| Method Summary | |
|---|---|
void |
buildStructure(BayesNet bayesNet,
Instances instances)
buildStructure determines the network structure/graph of the network using the maximimum weight spanning tree algorithm of Chow and Liu |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier. |
java.lang.String |
getRevision()
Returns the revision string. |
TechnicalInformation |
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on. |
java.lang.String |
globalInfo()
This will return a string describing the classifier. |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
| Methods inherited from class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm |
|---|
calcScore, calcScoreWithExtraParent, calcScoreWithMissingParent, calcScoreWithReversedParent, cumulativeCV, CVTypeTipText, getCVType, getMarkovBlanketClassifier, getUseProb, kFoldCV, leaveOneOutCV, markovBlanketClassifierTipText, setCVType, setMarkovBlanketClassifier, setUseProb, useProbTipText |
| Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm |
|---|
initAsNaiveBayesTipText, maxNrOfParentsTipText, toString |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public TAN()
| Method Detail |
|---|
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandler
public void buildStructure(BayesNet bayesNet,
Instances instances)
throws java.lang.Exception
buildStructure in class SearchAlgorithmbayesNet - instances -
java.lang.Exception - if something goes wrongpublic java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class GlobalScoreSearchAlgorithm
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-mbc Applies a Markov Blanket correction to the network structure, after a network structure is learned. This ensures that all nodes in the network are part of the Markov blanket of the classifier node.
-S [LOO-CV|k-Fold-CV|Cumulative-CV] Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q Use probabilistic or 0/1 scoring. (default probabilistic scoring)
setOptions in interface OptionHandlersetOptions in class GlobalScoreSearchAlgorithmoptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class GlobalScoreSearchAlgorithmpublic java.lang.String globalInfo()
globalInfo in class GlobalScoreSearchAlgorithmpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class GlobalScoreSearchAlgorithm
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