Package weka.classifiers.functions.supportVector

Class RegOptimizer

  • All Implemented Interfaces:
    java.io.Serializable, OptionHandler, RevisionHandler
    Direct Known Subclasses:
    RegSMO
    public class RegOptimizer
extends java.lang.Object
implements OptionHandler, java.io.Serializable, RevisionHandler
    Base class implementation for learning algorithm of SMOreg Valid options are: 

     -L <double>
  The epsilon parameter in epsilon-insensitive loss function.
  (default 1.0e-3)
     -W <double>
  The random number seed.
  (default 1)
    Version:
    $Revision: 11614 $
    Author:
    Remco Bouckaert (remco@cs.waikato.ac.nz,rrb@xm.co.nz)
    See Also:
    Serialized Form

    • Field Summary

      Fields 
      Modifier and Type Field Description
      double[] m_alpha
      alpha and alpha* arrays containing weights for solving dual problem
      double[] m_alphaStar  

    • Constructor Summary

      Constructors 
      Constructor Description
      RegOptimizer()
      the default constructor

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void buildClassifier​(Instances data)
      learn SVM parameters from data.
      java.lang.String epsilonParameterTipText()
      Returns the tip text for this property
      int getCacheHits()
      return the number of kernel cache hits
      double getEpsilonParameter()
      Get the value of epsilon parameter of the epsilon insensitive loss function.
      long getKernelEvaluations()
      returns the number of kernel evaluations
      java.lang.String[] getOptions()
      Gets the current settings of the classifier.
      java.lang.String getRevision()
      Returns the revision string.
      int getSeed()
      Gets the current seed value for the random number generator
      java.util.Enumeration listOptions()
      Gets an enumeration describing the available options.
      boolean modelBuilt()
      flag to indicate whether the model was built yet
      java.lang.String seedTipText()
      Returns the tip text for this property
      void setEpsilonParameter​(double v)
      Set the value of epsilon parameter of the epsilon insensitive loss function.
      void setOptions​(java.lang.String[] options)
      Parses a given list of options.
      void setSeed​(int value)
      Sets the seed value for the random number generator
      void setSMOReg​(SMOreg value)
      sets the parent SVM
      double SVMOutput​(Instance inst)  
      java.lang.String toString()
      Prints out the classifier.

      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

    • Field Detail

      • m_alpha

        public double[] m_alpha
        alpha and alpha* arrays containing weights for solving dual problem

      • m_alphaStar

        public double[] m_alphaStar

    • Constructor Detail

      • RegOptimizer

        public RegOptimizer()
        the default constructor

    • Method Detail

      • listOptions

        public java.util.Enumeration listOptions()
        Gets 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.

        Valid options are: 

         -L <double>
  The epsilon parameter in epsilon-insensitive loss function.
  (default 1.0e-3)
         -W <double>
  The random number seed.
  (default 1)
        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

      • modelBuilt

        public boolean modelBuilt()
        flag to indicate whether the model was built yet
        Returns:
        true if the model was built

      • setSMOReg

        public void setSMOReg​(SMOreg value)
        sets the parent SVM
        Parameters:
        value - the parent SVM

      • getKernelEvaluations

        public long getKernelEvaluations()
        returns the number of kernel evaluations
        Returns:
        the number of kernel evaluations

      • getCacheHits

        public int getCacheHits()
        return the number of kernel cache hits
        Returns:
        the number of hits

      • buildClassifier

        public void buildClassifier​(Instances data)
                     throws java.lang.Exception
        learn SVM parameters from data. Subclasses should implement something more interesting.
        Parameters:
        data - the data to work with
        Throws:
        java.lang.Exception - always an Exceoption since subclasses must override it

      • SVMOutput

        public double SVMOutput​(Instance inst)
                 throws java.lang.Exception
        Parameters:
        inst -
        Returns:
        Throws:
        java.lang.Exception

      • seedTipText

        public java.lang.String seedTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getSeed

        public int getSeed()
        Gets the current seed value for the random number generator
        Returns:
        the seed value

      • setSeed

        public void setSeed​(int value)
        Sets the seed value for the random number generator
        Parameters:
        value - the seed value

      • epsilonParameterTipText

        public java.lang.String epsilonParameterTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getEpsilonParameter

        public double getEpsilonParameter()
        Get the value of epsilon parameter of the epsilon insensitive loss function.
        Returns:
        Value of epsilon parameter.

      • setEpsilonParameter

        public void setEpsilonParameter​(double v)
        Set the value of epsilon parameter of the epsilon insensitive loss function.
        Parameters:
        v - Value to assign to epsilon parameter.

      • toString

        public java.lang.String toString()
        Prints out the classifier.
        Overrides:
        toString in class java.lang.Object
        Returns:
        a description of the classifier as a string

      • getRevision

        public java.lang.String getRevision()
        Returns the revision string.
        Specified by:
        getRevision in interface RevisionHandler
        Returns:
        the revision