public class TabuSearch extends HillClimber implements TechnicalInformationHandler
@phdthesis{Bouckaert1995,
address = {Utrecht, Netherlands},
author = {R.R. Bouckaert},
institution = {University of Utrecht},
title = {Bayesian Belief Networks: from Construction to Inference},
year = {1995}
}
Valid options are:
-L <integer> Tabu list length
-U <integer> Number of runs
-P <nr of parents> Maximum number of parents
-R Use arc reversal operation. (default false)
-P <nr of parents> Maximum number of parents
-R Use arc reversal operation. (default false)
-N Initial structure is empty (instead of Naive Bayes)
-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 |
|---|
TabuSearch() |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String[] |
getOptions()
Gets the current settings of the search algorithm.
|
java.lang.String |
getRevision()
Returns the revision string.
|
int |
getRuns() |
int |
getTabuList() |
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.
|
java.lang.String |
runsTipText() |
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
|
void |
setRuns(int nRuns)
Sets the number of runs
|
void |
setTabuList(int nTabuList)
Sets the Tabu List length.
|
java.lang.String |
tabuListTipText() |
getInitAsNaiveBayes, getMaxNrOfParents, getUseArcReversal, setInitAsNaiveBayes, setMaxNrOfParents, setUseArcReversal, useArcReversalTipTextbuildStructure, calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreTypeinitAsNaiveBayesTipText, maxNrOfParentsTipText, toStringpublic TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic int getRuns()
public void setRuns(int nRuns)
nRuns - The number of runs to setpublic int getTabuList()
public void setTabuList(int nTabuList)
nTabuList - The nTabuList to setpublic java.util.Enumeration<Option> listOptions()
listOptions in interface OptionHandlerlistOptions in class HillClimberpublic void setOptions(java.lang.String[] options)
throws java.lang.Exception
-L <integer> Tabu list length
-U <integer> Number of runs
-P <nr of parents> Maximum number of parents
-R Use arc reversal operation. (default false)
-P <nr of parents> Maximum number of parents
-R Use arc reversal operation. (default false)
-N Initial structure is empty (instead of Naive Bayes)
-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 HillClimberoptions - 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 HillClimberpublic java.lang.String globalInfo()
globalInfo in class HillClimberpublic java.lang.String runsTipText()
public java.lang.String tabuListTipText()
public java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class HillClimber