weka.classifiers.bayes.net.search.local

## Class SimulatedAnnealing

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

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

      public class SimulatedAnnealing
      extends LocalScoreSearchAlgorithm
      implements TechnicalInformationHandler

  This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure.
  For more information see:
  R.R. Bouckaert (1995). Bayesian Belief Networks: from Construction to Inference. Utrecht, Netherlands.

  BibTeX:

       @phdthesis{Bouckaert1995,
          address = {Utrecht, Netherlands},
          author = {R.R. Bouckaert},
          institution = {University of Utrecht},
          title = {Bayesian Belief Networks: from Construction to Inference},
          year = {1995}
       }

  Valid options are:

       -A <float>
        Start temperature

       -U <integer>
        Number of runs

       -D <float>
        Delta temperature

       -R <seed>
        Random number seed

       -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: 11267 $
  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

    Constructors
    Constructor and Description
    `SimulatedAnnealing()`

  - ### Method Summary

    All Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `java.lang.String` | `deltaTipText()`
    `double` | `getDelta()`
    `java.lang.String[]` | `getOptions()` Gets the current settings of the search algorithm.
    `java.lang.String` | `getRevision()` Returns the revision string.
    `int` | `getRuns()`
    `int` | `getSeed()`
    `TechnicalInformation` | `getTechnicalInformation()` Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
    `double` | `getTStart()`
    `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()`
    `void` | `search(BayesNet bayesNet, Instances instances)`
    `java.lang.String` | `seedTipText()`
    `void` | `setDelta(double fDelta)` Sets the m_fDelta.
    `void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
    `void` | `setRuns(int nRuns)` Sets the m_nRuns.
    `void` | `setSeed(int nSeed)` Sets the random number seed
    `void` | `setTStart(double fTStart)` Sets the m_fTStart.
    `java.lang.String` | `TStartTipText()`

    - ### 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

    - #### SimulatedAnnealing

          public SimulatedAnnealing()

  - ### Method Detail

    - #### getTechnicalInformation

          public TechnicalInformation getTechnicalInformation()

      Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
      Specified by:
        `getTechnicalInformation` in interface `TechnicalInformationHandler`
      Returns:
        the technical information about this class

    - #### search

          public void search(BayesNet bayesNet,
                             Instances instances)
                      throws java.lang.Exception

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

    - #### getDelta

          public double getDelta()

      Returns:
        double

    - #### getTStart

          public double getTStart()

      Returns:
        double

    - #### getRuns

          public int getRuns()

      Returns:
        int

    - #### setDelta

          public void setDelta(double fDelta)

      Sets the m_fDelta.
      Parameters:
        `fDelta` - The m_fDelta to set

    - #### setTStart

          public void setTStart(double fTStart)

      Sets the m_fTStart.
      Parameters:
        `fTStart` - The m_fTStart to set

    - #### setRuns

          public void setRuns(int nRuns)

      Sets the m_nRuns.
      Parameters:
        `nRuns` - The m_nRuns 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<Option> 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:

           -A <float>
            Start temperature

           -U <integer>
            Number of runs

           -D <float>
            Delta temperature

           -R <seed>
            Random number seed

           -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

    - #### globalInfo

          public java.lang.String globalInfo()

      This will return a string describing the classifier.
      Overrides:
        `globalInfo` in class `LocalScoreSearchAlgorithm`
      Returns:
        The string.

    - #### TStartTipText

          public java.lang.String TStartTipText()

      Returns:
        a string to describe the TStart option.

    - #### runsTipText

          public java.lang.String runsTipText()

      Returns:
        a string to describe the Runs option.

    - #### deltaTipText

          public java.lang.String deltaTipText()

      Returns:
        a string to describe the Delta 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 `LocalScoreSearchAlgorithm`
      Returns:
        the revision