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

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

equals, 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