public class LAGDHillClimber extends HillClimber
-L <nr of look ahead steps> Look Ahead Depth
-G <nr of good operations> Nr of Good Operations
-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 |
|---|
LAGDHillClimber() |
| Modifier and Type | Method and Description |
|---|---|
int |
getMaxNrOfParents()
Gets the max number of parents.
|
int |
getNrOfGoodOperations()
Gets the number of "good operations"
|
int |
getNrOfLookAheadSteps()
Gets the number of look-ahead steps
|
java.lang.String[] |
getOptions()
Gets the current settings of the search algorithm.
|
java.lang.String |
getRevision()
Returns the revision string.
|
java.lang.String |
globalInfo()
This will return a string describing the search algorithm.
|
java.util.Enumeration<Option> |
listOptions()
Returns an enumeration describing the available options.
|
java.lang.String |
nrOfGoodOperationsTipText() |
java.lang.String |
nrOfLookAheadStepsTipText() |
void |
setMaxNrOfParents(int nMaxNrOfParents)
Sets the max number of parents
|
void |
setNrOfGoodOperations(int nNrOfGoodOperations)
Sets the number of "good operations"
|
void |
setNrOfLookAheadSteps(int nNrOfLookAheadSteps)
Sets the number of look-ahead steps
|
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
|
getInitAsNaiveBayes, getUseArcReversal, setInitAsNaiveBayes, setUseArcReversal, useArcReversalTipTextbuildStructure, calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreTypeinitAsNaiveBayesTipText, maxNrOfParentsTipText, toStringpublic void setMaxNrOfParents(int nMaxNrOfParents)
setMaxNrOfParents in class HillClimbernMaxNrOfParents - the max number of parentspublic int getMaxNrOfParents()
getMaxNrOfParents in class HillClimberpublic void setNrOfLookAheadSteps(int nNrOfLookAheadSteps)
nNrOfLookAheadSteps - the number of look-ahead stepspublic int getNrOfLookAheadSteps()
public void setNrOfGoodOperations(int nNrOfGoodOperations)
nNrOfGoodOperations - the number of "good operations"public int getNrOfGoodOperations()
public java.util.Enumeration<Option> listOptions()
listOptions in interface OptionHandlerlistOptions in class HillClimberpublic void setOptions(java.lang.String[] options)
throws java.lang.Exception
Valid options are:
-L <nr of look ahead steps> Look Ahead Depth
-G <nr of good operations> Nr of Good Operations
-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 nrOfLookAheadStepsTipText()
public java.lang.String nrOfGoodOperationsTipText()
public java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class HillClimber