Package weka.classifiers.bayes.net.search

Class SearchAlgorithm

java.lang.Object
weka.classifiers.bayes.net.search.SearchAlgorithm
All Implemented Interfaces:
Serializable, OptionHandler, RevisionHandler
Direct Known Subclasses:
FromFile, GlobalScoreSearchAlgorithm, LocalScoreSearchAlgorithm, NaiveBayes
public class SearchAlgorithm extends Object implements OptionHandler, 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: 10153 $
Author:
Remco Bouckaert
See Also:

  • Constructor Details

    • SearchAlgorithm

      public SearchAlgorithm()
      c'tor

  • Method Details

    • listOptions

      public Enumeration<Option> listOptions()
      Returns an enumeration describing the available options.
      Specified by:
      listOptions in interface OptionHandler
      Returns:
      an enumeration of all the available options.

    • setOptions

      public void setOptions(String[] options) throws Exception
      Parses a given list of options.

      Specified by:
      setOptions in interface OptionHandler
      Parameters:
      options - the list of options as an array of strings
      Throws:
      Exception - if an option is not supported

    • getOptions

      public String[] getOptions()
      Gets the current settings of the Classifier.
      Specified by:
      getOptions in interface OptionHandler
      Returns:
      an array of strings suitable for passing to setOptions

    • toString

      public String toString()
      a string representation of the algorithm
      Overrides:
      toString in class Object
      Returns:
      a string representation

    • buildStructure

      public void buildStructure(BayesNet bayesNet, Instances instances) throws 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 network
      instances - the data to use
      Throws:
      Exception - if something goes wrong

    • maxNrOfParentsTipText

      public String maxNrOfParentsTipText()
      Returns:
      a string to describe the MaxNrOfParentsoption.

    • initAsNaiveBayesTipText

      public String initAsNaiveBayesTipText()
      Returns:
      a string to describe the InitAsNaiveBayes option.

    • getRevision

      public String getRevision()
      Returns the revision string.
      Specified by:
      getRevision in interface RevisionHandler
      Returns:
      the revision