weka.classifiers.bayes.net.search.global

## Class RepeatedHillClimber

- java.lang.Object
- - weka.classifiers.bayes.net.search.SearchAlgorithm
  - - weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
    - - weka.classifiers.bayes.net.search.global.HillClimber
      - - weka.classifiers.bayes.net.search.global.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 [LOO-CV|k-Fold-CV|Cumulative-CV]
        Score type (LOO-CV,k-Fold-CV,Cumulative-CV)

       -Q
        Use probabilistic or 0/1 scoring.
        (default probabilistic scoring)

  Version:
    $Revision: 10154 $
  Author:
    Remco Bouckaert (rrb@xm.co.nz)
  See Also:
    Serialized Form

- - ### Field Summary

    - ### Fields inherited from class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm

      `TAGS_CV_TYPE`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `RepeatedHillClimber()`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `java.lang.String[]` | `getOptions()` Gets the current settings of the search algorithm.
    `java.lang.String` | `getRevision()` Returns the revision string.
    `int` | `getRuns()` Returns the number of runs
    `int` | `getSeed()` Returns the random seed
    `java.lang.String` | `globalInfo()` This will return a string describing the classifier.
    `java.util.Enumeration<Option>` | `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.global.HillClimber

      `getInitAsNaiveBayes, getMaxNrOfParents, getUseArcReversal, setInitAsNaiveBayes, setMaxNrOfParents, setUseArcReversal, useArcReversalTipText`

    - ### Methods inherited from class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm

      `calcScore, calcScoreWithExtraParent, calcScoreWithMissingParent, calcScoreWithReversedParent, cumulativeCV, CVTypeTipText, getCVType, getMarkovBlanketClassifier, getUseProb, kFoldCV, leaveOneOutCV, markovBlanketClassifierTipText, setCVType, setMarkovBlanketClassifier, setUseProb, useProbTipText`

    - ### Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm

      `buildStructure, 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 the number of runs
      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 the random seed
      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<Option> 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 [LOO-CV|k-Fold-CV|Cumulative-CV]
            Score type (LOO-CV,k-Fold-CV,Cumulative-CV)

           -Q
            Use probabilistic or 0/1 scoring.
            (default probabilistic scoring)

      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