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Class weka.classifiers.VotedPerceptron 

java.lang.Object
   |
   +----weka.classifiers.Classifier
           |
           +----weka.classifiers.DistributionClassifier
                   |
                   +----weka.classifiers.VotedPerceptron
public class VotedPerceptron
extends DistributionClassifier
implements OptionHandler
Implements 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 and R. E. Schapire (1998). Large margin classification using the perceptron algorithm. Proc. 11th Annu. Conf. on Comput. Learning Theory, pp. 209-217, ACM Press, New York, NY.

Valid options are:

-I num
The number of iterations to be performed. (default 1)

-E num
The exponent for the polynomial kernel. (default 1)

-S num
The seed for the random number generator. (default 1)

-M num
The maximum number of alterations allowed. (default 10000)

Version:
$Revision: 1.5 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)

Constructor Index

o VotedPerceptron()

Method Index

o buildClassifier(Instances)
Builds the ensemble of perceptrons.
o distributionForInstance(Instance)
Outputs the distribution for the given output.
o getExponent()
Get the value of exponent.
o getMaxK()
Get the value of maxK.
o getNumIterations()
Get the value of NumIterations.
o getOptions()
Gets the current settings of the classifier.
o getSeed()
Get the value of Seed.
o listOptions()
Returns an enumeration describing the available options
o main(String[])
Main method.
o setExponent(double)
Set the value of exponent.
o setMaxK(int)
Set the value of maxK.
o setNumIterations(int)
Set the value of NumIterations.
o setOptions(String[])
Parses a given list of options.
o setSeed(int)
Set the value of Seed.
o toString()
Returns textual description of classifier.

Constructors

o VotedPerceptron 
 public VotedPerceptron()

Methods

o listOptions 
 public Enumeration listOptions()
Returns an enumeration describing the available options

Returns:
an enumeration of all the available options
o setOptions 
 public void setOptions(String options[]) throws Exception
Parses a given list of options. Valid options are:

-I num
The number of iterations to be performed. (default 1)

-E num
The exponent for the polynomial kernel. (default 1)

-S num
The seed for the random number generator. (default 1)

-M num
The maximum number of alterations allowed. (default 10000)

Parameters:
options - the list of options as an array of strings
Throws: Exception
if an option is not supported
o getOptions 
 public String[] getOptions()
Gets the current settings of the classifier.

Returns:
an array of strings suitable for passing to setOptions
o buildClassifier 
 public void buildClassifier(Instances insts) throws Exception
Builds the ensemble of perceptrons.

Throws: Exception
if something goes wrong during building
Overrides:
buildClassifier in class Classifier
o distributionForInstance 
 public double[] distributionForInstance(Instance inst) throws Exception
Outputs the distribution for the given output. Pipes output of SVM through sigmoid function.

Parameters:
inst - the instance for which distribution is to be computed
Returns:
the distribution
Throws: Exception
if something goes wrong
Overrides:
distributionForInstance in class DistributionClassifier
o toString 
 public String toString()
Returns textual description of classifier.

Overrides:
toString in class Object
o getMaxK 
 public int getMaxK()
Get the value of maxK.

Returns:
Value of maxK.
o setMaxK 
 public void setMaxK(int v)
Set the value of maxK.

Parameters:
v - Value to assign to maxK.
o getNumIterations 
 public int getNumIterations()
Get the value of NumIterations.

Returns:
Value of NumIterations.
o setNumIterations 
 public void setNumIterations(int v)
Set the value of NumIterations.

Parameters:
v - Value to assign to NumIterations.
o getExponent 
 public double getExponent()
Get the value of exponent.

Returns:
Value of exponent.
o setExponent 
 public void setExponent(double v)
Set the value of exponent.

Parameters:
v - Value to assign to exponent.
o getSeed 
 public int getSeed()
Get the value of Seed.

Returns:
Value of Seed.
o setSeed 
 public void setSeed(int v)
Set the value of Seed.

Parameters:
v - Value to assign to Seed.
o main 
 public static void main(String argv[])
Main method. 

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