public class TAN extends LocalScoreSearchAlgorithm implements TechnicalInformationHandler
@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 [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES] Score type (BAYES, BDeu, MDL, ENTROPY and AIC)
TAGS_SCORE_TYPE| Constructor and Description |
|---|
TAN() |
| Modifier and Type | Method and Description |
|---|---|
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<Option> |
listOptions()
Returns an enumeration describing the available options.
|
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
|
calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreTypeinitAsNaiveBayesTipText, maxNrOfParentsTipText, toStringpublic TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic void buildStructure(BayesNet bayesNet, Instances instances) throws java.lang.Exception
buildStructure in class LocalScoreSearchAlgorithmbayesNet - the networkinstances - the data to usejava.lang.Exception - if something goes wrongpublic java.util.Enumeration<Option> listOptions()
listOptions in interface OptionHandlerlistOptions in class LocalScoreSearchAlgorithmpublic 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 [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES] Score type (BAYES, BDeu, MDL, ENTROPY and AIC)
setOptions in interface OptionHandlersetOptions in class LocalScoreSearchAlgorithmoptions - the list of options as an array of stringsjava.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class LocalScoreSearchAlgorithmpublic java.lang.String globalInfo()
globalInfo in class LocalScoreSearchAlgorithmpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class LocalScoreSearchAlgorithm