public class HillClimber extends GlobalScoreSearchAlgorithm
-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 [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)
TAGS_CV_TYPE| Constructor and Description |
|---|
HillClimber() |
| Modifier and Type | Method and Description |
|---|---|
boolean |
getInitAsNaiveBayes()
Gets whether to init as naive bayes
|
int |
getMaxNrOfParents()
Gets the max number of parents.
|
java.lang.String[] |
getOptions()
Gets the current settings of the search algorithm.
|
java.lang.String |
getRevision()
Returns the revision string.
|
boolean |
getUseArcReversal()
get use the arc reversal operation
|
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.
|
void |
setInitAsNaiveBayes(boolean bInitAsNaiveBayes)
Sets whether to init as naive bayes
|
void |
setMaxNrOfParents(int nMaxNrOfParents)
Sets the max number of parents
|
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
|
void |
setUseArcReversal(boolean bUseArcReversal)
set use the arc reversal operation
|
java.lang.String |
useArcReversalTipText() |
calcScore, calcScoreWithExtraParent, calcScoreWithMissingParent, calcScoreWithReversedParent, cumulativeCV, CVTypeTipText, getCVType, getMarkovBlanketClassifier, getUseProb, kFoldCV, leaveOneOutCV, markovBlanketClassifierTipText, setCVType, setMarkovBlanketClassifier, setUseProb, useProbTipTextbuildStructure, initAsNaiveBayesTipText, maxNrOfParentsTipText, toStringequals, getClass, hashCode, notify, notifyAll, wait, wait, waitmakeCopypublic void setMaxNrOfParents(int nMaxNrOfParents)
nMaxNrOfParents - the max number of parentspublic int getMaxNrOfParents()
public java.util.Enumeration<Option> listOptions()
listOptions in interface OptionHandlerlistOptions in class GlobalScoreSearchAlgorithmpublic void setOptions(java.lang.String[] options)
throws java.lang.Exception
-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 [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 stringsjava.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class GlobalScoreSearchAlgorithmpublic void setInitAsNaiveBayes(boolean bInitAsNaiveBayes)
bInitAsNaiveBayes - whether to init as naive bayespublic boolean getInitAsNaiveBayes()
public boolean getUseArcReversal()
public void setUseArcReversal(boolean bUseArcReversal)
bUseArcReversal - whether the arc reversal operation should be usedpublic java.lang.String globalInfo()
globalInfo in class GlobalScoreSearchAlgorithmpublic java.lang.String useArcReversalTipText()
public java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class GlobalScoreSearchAlgorithm