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## weka.classifiers.bayes.net.search
Class SearchAlgorithm

    java.lang.Object
      weka.classifiers.bayes.net.search.SearchAlgorithm

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

Constructor Summary
`SearchAlgorithm()` c'tor

Method Summary
`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

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### SearchAlgorithm

    public SearchAlgorithm()

  c'tor

Method Detail

### listOptions

    public java.util.Enumeration 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(java.lang.String[] options)
                    throws java.lang.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:
    `java.lang.Exception` - if an option is not supported

### getOptions

    public java.lang.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 java.lang.String toString()

  a string representation of the algorithm

  Overrides:
    `toString` in class `java.lang.Object`
  Returns:
    a string representation

### 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 network
    `instances` - the data to use
  Throws:
    `java.lang.Exception` - if something goes wrong

### maxNrOfParentsTipText

    public java.lang.String maxNrOfParentsTipText()

  Returns:
    a string to describe the MaxNrOfParentsoption.

### initAsNaiveBayesTipText

    public java.lang.String initAsNaiveBayesTipText()

  Returns:
    a string to describe the InitAsNaiveBayes option.

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Returns:
    the revision

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