HillClimber

Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home

PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

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

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

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

Direct Known Subclasses:
  LAGDHillClimber, RepeatedHillClimber, TabuSearch

    public class HillClimber

extends LocalScoreSearchAlgorithm

This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs. The search is not restricted by an order on the variables (unlike K2). The difference with B and B2 is that this hill climber also considers arrows part of the naive Bayes structure for deletion.

Valid options are:

     -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: 1.9 $
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
`HillClimber()`

Method Summary
`boolean` | `getInitAsNaiveBayes()` Gets whether to init as naive bayes
`int` | `getMaxNrOfParents()` Gets the max number of parents.
`java.lang.String[]` | `getOptions()` Gets the current settings of the search algorithm.
`java.lang.String` | `getRevision()` Returns the revision string.
`boolean` | `getUseArcReversal()` get use the arc reversal operation
`java.lang.String` | `globalInfo()` This will return a string describing the search algorithm.
`java.util.Enumeration` | `listOptions()` Returns an enumeration describing the available options.
`void` | `setInitAsNaiveBayes(boolean bInitAsNaiveBayes)` Sets whether to init as naive bayes
`void` | `setMaxNrOfParents(int nMaxNrOfParents)` Sets the max number of parents
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
`void` | `setUseArcReversal(boolean bUseArcReversal)` set use the arc reversal operation
`java.lang.String` | `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

### HillClimber

    public HillClimber()

Method Detail

### setMaxNrOfParents

    public void setMaxNrOfParents(int nMaxNrOfParents)

  Sets the max number of parents

  Parameters:
    `nMaxNrOfParents` - the max number of parents

### getMaxNrOfParents

    public int getMaxNrOfParents()

  Gets the max number of parents.

  Returns:
    the max number of parents

### listOptions

    public java.util.Enumeration listOptions()

  Returns an enumeration describing the available options.

  Specified by:
    `listOptions` in interface `OptionHandler`
  Overrides:
    `listOptions` in class `LocalScoreSearchAlgorithm`
  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:

       -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 `LocalScoreSearchAlgorithm`
  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 `LocalScoreSearchAlgorithm`
  Returns:
    an array of strings suitable for passing to setOptions

### setInitAsNaiveBayes

    public void setInitAsNaiveBayes(boolean bInitAsNaiveBayes)

  Sets whether to init as naive bayes

  Parameters:
    `bInitAsNaiveBayes` - whether to init as naive bayes

### getInitAsNaiveBayes

    public boolean getInitAsNaiveBayes()

  Gets whether to init as naive bayes

  Returns:
    whether to init as naive bayes

### getUseArcReversal

    public boolean getUseArcReversal()

  get use the arc reversal operation

  Returns:
    whether the arc reversal operation should be used

### setUseArcReversal

    public void setUseArcReversal(boolean bUseArcReversal)

  set use the arc reversal operation

  Parameters:
    `bUseArcReversal` - whether the arc reversal operation should be used

### globalInfo

    public java.lang.String globalInfo()

  This will return a string describing the search algorithm.

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

### useArcReversalTipText

    public java.lang.String useArcReversalTipText()

  Returns:
    a string to describe the Use Arc Reversal option.

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

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

Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home

PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD