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java.lang.Objectweka.classifiers.bayes.net.search.SearchAlgorithm
weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
The ScoreBasedSearchAlgorithm class supports Bayes net structure search algorithms that are based on maximizing scores (as opposed to for example conditional independence based search algorithms).
| Field Summary | |
static Tag[] |
TAGS_SCORE_TYPE
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| Constructor Summary | |
LocalScoreSearchAlgorithm()
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LocalScoreSearchAlgorithm(BayesNet bayesNet,
Instances instances)
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| Method Summary | |
void |
buildStructure(BayesNet bayesNet,
Instances instances)
buildStructure determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph. |
double |
calcNodeScore(int nNode)
Calc Node Score for given parent set |
double |
calcScoreWithExtraParent(int nNode,
int nCandidateParent)
Calc Node Score With AddedParent |
double |
calcScoreWithMissingParent(int nNode,
int nCandidateParent)
Calc Node Score With Parent Deleted |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier. |
SelectedTag |
getScoreType()
get quality measure to be used in searching for networks. |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options |
double |
logScore(int nType)
logScore returns the log of the quality of a network (e.g. |
java.lang.String |
scoreTypeTipText()
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void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setScoreType(SelectedTag newScoreType)
set quality measure to be used in searching for networks. |
| Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm |
getMarkovBlanketClassifier, initAsNaiveBayesTipText, markovBlanketClassifierTipText, maxNrOfParentsTipText, setMarkovBlanketClassifier, toString |
| Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
public static final Tag[] TAGS_SCORE_TYPE
| Constructor Detail |
public LocalScoreSearchAlgorithm()
public LocalScoreSearchAlgorithm(BayesNet bayesNet,
Instances instances)
| Method Detail |
public double logScore(int nType)
nType - score type (Bayes, MDL, etc) to calculate score with
public void buildStructure(BayesNet bayesNet,
Instances instances)
throws java.lang.Exception
buildStructure in class SearchAlgorithmjava.lang.Exceptionpublic double calcNodeScore(int nNode)
nNode - node for which the score is calculate
public double calcScoreWithExtraParent(int nNode,
int nCandidateParent)
nNode - node for which the score is calculatenCandidateParent - candidate parent to add to the existing parent set
public double calcScoreWithMissingParent(int nNode,
int nCandidateParent)
nNode - node for which the score is calculatenCandidateParent - candidate parent to delete from the existing parent set
public void setScoreType(SelectedTag newScoreType)
public SelectedTag getScoreType()
public java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class SearchAlgorithm
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
SearchAlgorithm
setOptions in interface OptionHandlersetOptions in class SearchAlgorithmoptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
SearchAlgorithm
getOptions in interface OptionHandlergetOptions in class SearchAlgorithmpublic java.lang.String scoreTypeTipText()
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