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## weka.classifiers.bayes.net.search.local
Class RepeatedHillClimber

    java.lang.Object
      weka.classifiers.bayes.net.search.SearchAlgorithm
          weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
              weka.classifiers.bayes.net.search.local.HillClimber
                  weka.classifiers.bayes.net.search.local.RepeatedHillClimber

All Implemented Interfaces:
  java.io.Serializable, OptionHandler, RevisionHandler

    public class RepeatedHillClimber

extends HillClimber

This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.

Valid options are:

     -U <integer>
      Number of runs

     -A <seed>
      Random number seed

     -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 [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
      Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

Version:
  $Revision: 1.6 $
Author:
  Remco Bouckaert (rrb@xm.co.nz)
See Also:
  Serialized Form

Field Summary

Fields inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
`TAGS_SCORE_TYPE`

Constructor Summary
`RepeatedHillClimber()`

Method Summary
`java.lang.String[]` | `getOptions()` Gets the current settings of the search algorithm.
`java.lang.String` | `getRevision()` Returns the revision string.
`int` | `getRuns()`
`int` | `getSeed()`
`java.lang.String` | `globalInfo()` This will return a string describing the classifier.
`java.util.Enumeration` | `listOptions()` Returns an enumeration describing the available options.
`java.lang.String` | `runsTipText()`
`java.lang.String` | `seedTipText()`
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
`void` | `setRuns(int nRuns)` Sets the number of runs
`void` | `setSeed(int nSeed)` Sets the random number seed

Methods inherited from class weka.classifiers.bayes.net.search.local.HillClimber
`getInitAsNaiveBayes, getMaxNrOfParents, getUseArcReversal, setInitAsNaiveBayes, setMaxNrOfParents, setUseArcReversal, useArcReversalTipText`

Methods inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
`buildStructure, calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreType`

Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm
`initAsNaiveBayesTipText, maxNrOfParentsTipText, toString`

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

Constructor Detail

### RepeatedHillClimber

    public RepeatedHillClimber()

Method Detail

### getRuns

    public int getRuns()

  Returns:
    number of runs

### setRuns

    public void setRuns(int nRuns)

  Sets the number of runs

  Parameters:
    `nRuns` - The number of runs to set

### getSeed

    public int getSeed()

  Returns:
    random number seed

### setSeed

    public void setSeed(int nSeed)

  Sets the random number seed

  Parameters:
    `nSeed` - The number of the seed to set

### listOptions

    public java.util.Enumeration listOptions()

  Returns an enumeration describing the available options.

  Specified by:
    `listOptions` in interface `OptionHandler`
  Overrides:
    `listOptions` in class `HillClimber`
  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.

  Valid options are:

       -U <integer>
        Number of runs

       -A <seed>
        Random number seed

       -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 [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

  Specified by:
    `setOptions` in interface `OptionHandler`
  Overrides:
    `setOptions` in class `HillClimber`
  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 search algorithm.

  Specified by:
    `getOptions` in interface `OptionHandler`
  Overrides:
    `getOptions` in class `HillClimber`
  Returns:
    an array of strings suitable for passing to setOptions

### globalInfo

    public java.lang.String globalInfo()

  This will return a string describing the classifier.

  Overrides:
    `globalInfo` in class `HillClimber`
  Returns:
    The string.

### runsTipText

    public java.lang.String runsTipText()

  Returns:
    a string to describe the Runs option.

### seedTipText

    public java.lang.String seedTipText()

  Returns:
    a string to describe the Seed option.

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Overrides:
    `getRevision` in class `HillClimber`
  Returns:
    the revision

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