Package weka.classifiers.functions.supportVector

Class RegSMOImproved

  • All Implemented Interfaces:
    java.io.Serializable, OptionHandler, RevisionHandler, TechnicalInformationHandler
    public class RegSMOImproved
extends RegSMO
implements TechnicalInformationHandler
    Learn SVM for regression using SMO with Shevade, Keerthi, et al. adaption of the stopping criterion.

    For more information see:

    S.K. Shevade, S.S. Keerthi, C. Bhattacharyya, K.R.K. Murthy: Improvements to the SMO Algorithm for SVM Regression. In: IEEE Transactions on Neural Networks, 1999.

    S.K. Shevade, S.S. Keerthi, C. Bhattacharyya, K.R.K. Murthy (1999). Improvements to the SMO Algorithm for SVM Regression. Control Division, Dept. of Mechanical Engineering.

    BibTeX: 

     @inproceedings{Shevade1999,
    author = {S.K. Shevade and S.S. Keerthi and C. Bhattacharyya and K.R.K. Murthy},
    booktitle = {IEEE Transactions on Neural Networks},
    title = {Improvements to the SMO Algorithm for SVM Regression},
    year = {1999},
    PS = {http://guppy.mpe.nus.edu.sg/\~mpessk/svm/ieee_smo_reg.ps.gz}
 }
 
 @techreport{Shevade1999,
    address = {Control Division, Dept. of Mechanical Engineering},
    author = {S.K. Shevade and S.S. Keerthi and C. Bhattacharyya and K.R.K. Murthy},
    institution = {National University of Singapore},
    number = {CD-99-16},
    title = {Improvements to the SMO Algorithm for SVM Regression},
    year = {1999},
    PS = {http://guppy.mpe.nus.edu.sg/\~mpessk/svm/smoreg_mod.ps.gz}
 }

    Valid options are: 

     -T <double>
  The tolerance parameter for checking the stopping criterion.
  (default 0.001)
     -V
  Use variant 1 of the algorithm when true, otherwise use variant 2.
  (default true)
     -P <double>
  The epsilon for round-off error.
  (default 1.0e-12)
     -L <double>
  The epsilon parameter in epsilon-insensitive loss function.
  (default 1.0e-3)
     -W <double>
  The random number seed.
  (default 1)
    Version:
    $Revision: 1.4 $
    Author:
    Remco Bouckaert (remco@cs.waikato.ac.nz,rrb@xm.co.nz)
    See Also:
    Serialized Form

    • Constructor Detail

      • RegSMOImproved

        public RegSMOImproved()

    • Method Detail

      • globalInfo

        public java.lang.String globalInfo()
        Returns a string describing the object
        Overrides:
        globalInfo in class RegSMO
        Returns:
        a description suitable for displaying in the explorer/experimenter gui

      • listOptions

        public java.util.Enumeration listOptions()
        Returns an enumeration describing the available options
        Specified by:
        listOptions in interface OptionHandler
        Overrides:
        listOptions in class RegSMO
        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: 

         -T <double>
  The tolerance parameter for checking the stopping criterion.
  (default 0.001)
         -V
  Use variant 1 of the algorithm when true, otherwise use variant 2.
  (default true)
         -P <double>
  The epsilon for round-off error.
  (default 1.0e-12)
         -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
        Overrides:
        setOptions in class RegSMO
        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 object.
        Specified by:
        getOptions in interface OptionHandler
        Overrides:
        getOptions in class RegSMO
        Returns:
        an array of strings suitable for passing to setOptions

      • toleranceTipText

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

      • getTolerance

        public double getTolerance()
        returns the current tolerance
        Returns:
        the tolerance

      • setTolerance

        public void setTolerance​(double d)
        sets the tolerance
        Parameters:
        d - the new tolerance

      • useVariant1TipText

        public java.lang.String useVariant1TipText()
        Returns the tip text for this property
        Returns:
        a description suitable for displaying in the explorer/experimenter gui

      • isUseVariant1

        public boolean isUseVariant1()
        Whether variant 1 is used
        Returns:
        true if variant 1 is used

      • setUseVariant1

        public void setUseVariant1​(boolean b)
        Sets whether to use variant 1
        Parameters:
        b - if true then variant 1 is used

      • buildClassifier

        public void buildClassifier​(Instances instances)
                     throws java.lang.Exception
        learn SVM parameters from data using Keerthi's SMO algorithm. Subclasses should implement something more interesting.
        Overrides:
        buildClassifier in class RegSMO
        Parameters:
        instances - the data to work with
        Throws:
        java.lang.Exception - if something goes wrong