Package weka.classifiers.functions

Class Winnow

java.lang.Object
weka.classifiers.Classifier
weka.classifiers.functions.Winnow
All Implemented Interfaces:
Serializable, Cloneable, UpdateableClassifier, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler
public class Winnow extends Classifier implements UpdateableClassifier, TechnicalInformationHandler
Implements Winnow and Balanced Winnow algorithms by Littlestone.

For more information, see

N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318.

N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz.

Does classification for problems with nominal attributes (which it converts into binary attributes).

BibTeX: 

 @article{Littlestone1988,
    author = {N. Littlestone},
    journal = {Machine Learning},
    pages = {285-318},
    title = {Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm},
    volume = {2},
    year = {1988}
 }
 
 @techreport{Littlestone1989,
    address = {University of California, Santa Cruz},
    author = {N. Littlestone},
    institution = {University of California},
    note = {Technical Report UCSC-CRL-89-11},
    title = {Mistake bounds and logarithmic linear-threshold learning algorithms},
    year = {1989}
 }

Valid options are: 

 -L
  Use the baLanced version
  (default false)
 -I <int>
  The number of iterations to be performed.
  (default 1)
 -A <double>
  Promotion coefficient alpha.
  (default 2.0)
 -B <double>
  Demotion coefficient beta.
  (default 0.5)
 -H <double>
  Prediction threshold.
  (default -1.0 == number of attributes)
 -W <double>
  Starting weights.
  (default 2.0)
 -S <int>
  Default random seed.
  (default 1)
Version:
$Revision: 5523 $
Author:
J. Lindgren (jtlindgr at cs.helsinki.fi)
See Also:

  • Constructor Details

    • Winnow

      public Winnow()

  • Method Details

    • globalInfo

      public String globalInfo()
      Returns a string describing classifier
      Returns:
      a description 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

    • listOptions

      public Enumeration listOptions()
      Returns an enumeration describing the available options
      Specified by:
      listOptions in interface OptionHandler
      Overrides:
      listOptions in class Classifier
      Returns:
      an enumeration of all the available options

    • setOptions

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

      Valid options are: 

       -L
  Use the baLanced version
  (default false)
       -I <int>
  The number of iterations to be performed.
  (default 1)
       -A <double>
  Promotion coefficient alpha.
  (default 2.0)
       -B <double>
  Demotion coefficient beta.
  (default 0.5)
       -H <double>
  Prediction threshold.
  (default -1.0 == number of attributes)
       -W <double>
  Starting weights.
  (default 2.0)
       -S <int>
  Default random seed.
  (default 1)
      Specified by:
      setOptions in interface OptionHandler
      Overrides:
      setOptions in class Classifier
      Parameters:
      options - the list of options as an array of strings
      Throws:
      Exception - if an option is not supported

    • getOptions

      public String[] getOptions()
      Gets the current settings of the classifier.
      Specified by:
      getOptions in interface OptionHandler
      Overrides:
      getOptions in class Classifier
      Returns:
      an array of strings suitable for passing to setOptions

    • getCapabilities

      public Capabilities getCapabilities()
      Returns default capabilities of the classifier.
      Specified by:
      getCapabilities in interface CapabilitiesHandler
      Overrides:
      getCapabilities in class Classifier
      Returns:
      the capabilities of this classifier
      See Also:

    • buildClassifier

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

    • updateClassifier

      public void updateClassifier(Instance instance) throws Exception
      Updates the classifier with a new learning example
      Specified by:
      updateClassifier in interface UpdateableClassifier
      Parameters:
      instance - the instance to update the classifier with
      Throws:
      Exception - if something goes wrong

    • classifyInstance

      public double classifyInstance(Instance inst) throws Exception
      Outputs the prediction for the given instance.
      Overrides:
      classifyInstance in class Classifier
      Parameters:
      inst - the instance for which prediction is to be computed
      Returns:
      the prediction
      Throws:
      Exception - if something goes wrong

    • toString

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

    • balancedTipText

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

    • getBalanced

      public boolean getBalanced()
      Get the value of Balanced.
      Returns:
      Value of Balanced.

    • setBalanced

      public void setBalanced(boolean b)
      Set the value of Balanced.
      Parameters:
      b - Value to assign to Balanced.

    • alphaTipText

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

    • getAlpha

      public double getAlpha()
      Get the value of Alpha.
      Returns:
      Value of Alpha.

    • setAlpha

      public void setAlpha(double a)
      Set the value of Alpha.
      Parameters:
      a - Value to assign to Alpha.

    • betaTipText

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

    • getBeta

      public double getBeta()
      Get the value of Beta.
      Returns:
      Value of Beta.

    • setBeta

      public void setBeta(double b)
      Set the value of Beta.
      Parameters:
      b - Value to assign to Beta.

    • thresholdTipText

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

    • getThreshold

      public double getThreshold()
      Get the value of Threshold.
      Returns:
      Value of Threshold.

    • setThreshold

      public void setThreshold(double t)
      Set the value of Threshold.
      Parameters:
      t - Value to assign to Threshold.

    • defaultWeightTipText

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

    • getDefaultWeight

      public double getDefaultWeight()
      Get the value of defaultWeight.
      Returns:
      Value of defaultWeight.

    • setDefaultWeight

      public void setDefaultWeight(double w)
      Set the value of defaultWeight.
      Parameters:
      w - Value to assign to defaultWeight.

    • 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.

    • 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.

    • getRevision

      public String getRevision()
      Returns the revision string.
      Specified by:
      getRevision in interface RevisionHandler
      Overrides:
      getRevision in class Classifier
      Returns:
      the revision

    • main

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