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 |
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TabuSearch() |
Modifier and Type | Method and Description |
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java.lang.String[] |
getOptions()
Gets the current settings of the search algorithm.
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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 |
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, useArcReversalTipText
buildStructure, calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreType
initAsNaiveBayesTipText, maxNrOfParentsTipText, toString
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation
in interface TechnicalInformationHandler
public 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 listOptions()
listOptions
in interface OptionHandler
listOptions
in class HillClimber
public 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 OptionHandler
setOptions
in class HillClimber
options
- the list of options as an array of stringsjava.lang.Exception
- if an option is not supportedpublic java.lang.String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class HillClimber
public java.lang.String globalInfo()
globalInfo
in class HillClimber
public java.lang.String runsTipText()
public java.lang.String tabuListTipText()
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class HillClimber