weka.classifiers.functions.supportVector
Class NormalizedPolyKernel

java.lang.Object
  weka.classifiers.functions.supportVector.Kernel
      weka.classifiers.functions.supportVector.PolyKernel
          weka.classifiers.functions.supportVector.NormalizedPolyKernel

All Implemented Interfaces:

java.io.Serializable

public class NormalizedPolyKernel

extends PolyKernel

The normalized polynomial kernel. K(x,y) = /sqrt() where = PolyKernel(x,y)

Version:

$$

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.functions.supportVector.PolyKernel

Fields inherited from class weka.classifiers.functions.supportVector.Kernel

m_data

Constructor Summary

NormalizedPolyKernel(Instances dataset, int cacheSize, double exponent, boolean lowerOrder)
Creates a new NormalizedPolyKernel instance.

Method Summary

double

eval(int id1, int id2, Instance inst1) Redefines the eval function of PolyKernel.

Methods inherited from class weka.classifiers.functions.supportVector.PolyKernel

clean, numEvals

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NormalizedPolyKernel

public NormalizedPolyKernel(Instances dataset,
                            int cacheSize,
                            double exponent,
                            boolean lowerOrder)

Creates a new NormalizedPolyKernel instance.

Parameters:

dataset - the training dataset used.

cacheSize - the size of the cache (a prime number)

Method Detail

eval

public double eval(int id1,
                   int id2,
                   Instance inst1)
            throws java.lang.Exception

Redefines the eval function of PolyKernel.

Overrides:

eval in class PolyKernel

Throws:

java.lang.Exception