Class SearchAlgorithm
- java.lang.Object
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- weka.classifiers.bayes.net.search.SearchAlgorithm
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- All Implemented Interfaces:
java.io.Serializable
,OptionHandler
,RevisionHandler
- Direct Known Subclasses:
FromFile
,GlobalScoreSearchAlgorithm
,LocalScoreSearchAlgorithm
,NaiveBayes
public class SearchAlgorithm extends java.lang.Object implements OptionHandler, java.io.Serializable, RevisionHandler
This is the base class for all search algorithms for learning Bayes networks. It contains some common code, used by other network structure search algorithms, and should not be used by itself.- Version:
- $Revision: 1.9 $
- Author:
- Remco Bouckaert
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description SearchAlgorithm()
c'tor
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
buildStructure(BayesNet bayesNet, Instances instances)
buildStructure determines the network structure/graph of the network.java.lang.String[]
getOptions()
Gets the current settings of the Classifier.java.lang.String
getRevision()
Returns the revision string.java.lang.String
initAsNaiveBayesTipText()
java.util.Enumeration
listOptions()
Returns an enumeration describing the available options.java.lang.String
maxNrOfParentsTipText()
void
setOptions(java.lang.String[] options)
Parses a given list of options.java.lang.String
toString()
a string representation of the algorithm
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Method Detail
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listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.Exception
Parses a given list of options.- Specified by:
setOptions
in interfaceOptionHandler
- Parameters:
options
- the list of options as an array of strings- Throws:
java.lang.Exception
- if an option is not supported
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of the Classifier.- Specified by:
getOptions
in interfaceOptionHandler
- Returns:
- an array of strings suitable for passing to setOptions
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toString
public java.lang.String toString()
a string representation of the algorithm- Overrides:
toString
in classjava.lang.Object
- Returns:
- a string representation
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buildStructure
public void buildStructure(BayesNet bayesNet, Instances instances) throws java.lang.Exception
buildStructure determines the network structure/graph of the network. The default behavior is creating a network where all nodes have the first node as its parent (i.e., a BayesNet that behaves like a naive Bayes classifier). This method can be overridden by derived classes to restrict the class of network structures that are acceptable.- Parameters:
bayesNet
- the networkinstances
- the data to use- Throws:
java.lang.Exception
- if something goes wrong
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maxNrOfParentsTipText
public java.lang.String maxNrOfParentsTipText()
- Returns:
- a string to describe the MaxNrOfParentsoption.
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initAsNaiveBayesTipText
public java.lang.String initAsNaiveBayesTipText()
- Returns:
- a string to describe the InitAsNaiveBayes option.
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Returns:
- the revision
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