Package weka.classifiers.functions

Class VotedPerceptron

  • All Implemented Interfaces:
    Serializable, Cloneable, Classifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, RevisionHandler, TechnicalInformationHandler
    public class VotedPerceptron
extends AbstractClassifier
implements OptionHandler, TechnicalInformationHandler
    Implementation of the voted perceptron algorithm by Freund and Schapire. Globally replaces all missing values, and transforms nominal attributes into binary ones.

    For more information, see:

    Y. Freund, R. E. Schapire: Large margin classification using the perceptron algorithm. In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.

    BibTeX: 

     @inproceedings{Freund1998,
    address = {New York, NY},
    author = {Y. Freund and R. E. Schapire},
    booktitle = {11th Annual Conference on Computational Learning Theory},
    pages = {209-217},
    publisher = {ACM Press},
    title = {Large margin classification using the perceptron algorithm},
    year = {1998}
 }

    Valid options are: 

     -I <int>
  The number of iterations to be performed.
  (default 1)
     -E <double>
  The exponent for the polynomial kernel.
  (default 1)
     -S <int>
  The seed for the random number generation.
  (default 1)
     -M <int>
  The maximum number of alterations allowed.
  (default 10000)
    Version:
    $Revision$
    Author:
    Eibe Frank (eibe@cs.waikato.ac.nz)
    See Also:
    Serialized Form

    • Constructor Detail

      • VotedPerceptron

        public VotedPerceptron()

    • Method Detail

      • globalInfo

        public String globalInfo()
        Returns a string describing this classifier
        Returns:
        a description of the classifier suitable for displaying in the explorer/experimenter gui

      • 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

      • setOptions

        public void setOptions​(String[] options)
                throws Exception
        Parses a given list of options.

        Valid options are: 

         -I <int>
  The number of iterations to be performed.
  (default 1)
         -E <double>
  The exponent for the polynomial kernel.
  (default 1)
         -S <int>
  The seed for the random number generation.
  (default 1)
         -M <int>
  The maximum number of alterations allowed.
  (default 10000)
        Specified by:
        setOptions in interface OptionHandler
        Overrides:
        setOptions in class AbstractClassifier
        Parameters:
        options - the list of options as an array of strings
        Throws:
        Exception - if an option is not supported

      • buildClassifier

        public void buildClassifier​(Instances insts)
                     throws Exception
        Builds the ensemble of perceptrons.
        Specified by:
        buildClassifier in interface Classifier
        Parameters:
        insts - the data to train the classifier with
        Throws:
        Exception - if something goes wrong during building

      • toString

        public String toString()
        Returns textual description of classifier.
        Overrides:
        toString in class Object
        Returns:
        the model as string

      • maxKTipText

        public String maxKTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getMaxK

        public int getMaxK()
        Get the value of maxK.
        Returns:
        Value of maxK.

      • setMaxK

        public void setMaxK​(int v)
        Set the value of maxK.
        Parameters:
        v - Value to assign to maxK.

      • numIterationsTipText

        public String numIterationsTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getNumIterations

        public int getNumIterations()
        Get the value of NumIterations.
        Returns:
        Value of NumIterations.

      • setNumIterations

        public void setNumIterations​(int v)
        Set the value of NumIterations.
        Parameters:
        v - Value to assign to NumIterations.

      • exponentTipText

        public String exponentTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • getExponent

        public double getExponent()
        Get the value of exponent.
        Returns:
        Value of exponent.

      • setExponent

        public void setExponent​(double v)
        Set the value of exponent.
        Parameters:
        v - Value to assign to exponent.

      • seedTipText

        public 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()
        Get the value of Seed.
        Returns:
        Value of Seed.

      • setSeed

        public void setSeed​(int v)
        Set the value of Seed.
        Parameters:
        v - Value to assign to Seed.

      • main

        public static void main​(String[] argv)
        Main method.
        Parameters:
        argv - the commandline options