weka.classifiers.functions.supportVector
Class PolyKernel

java.lang.Object
  |
  +--weka.classifiers.functions.supportVector.Kernel
        |
        +--weka.classifiers.functions.supportVector.PolyKernel

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

NormalizedPolyKernel

public class PolyKernel

extends Kernel

The polynomial kernel : K(x, y) = ^p or K(x, y) = (+1)^p

Version:

$$

Author:

Eibe Frank (eibe@cs.waikato.ac.nz), Shane Legg (shane@intelligenesis.net) (sparse vector code), Stuart Inglis (stuart@reeltwo.com) (sparse vector code)

See Also:

Serialized Form

Constructor Summary

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

Method Summary

void	clean() Frees the cache used by the kernel.
double	eval(int id1, int id2, Instance inst1) Implements the abstract function of Kernel.
int	numEvals() Returns the number of time Eval has been called.

Methods inherited from class java.lang.Object

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

Constructor Detail

PolyKernel

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

Creates a new PolyKernel 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

Implements the abstract function of Kernel.

Specified by:

eval in class Kernel

Parameters:

id1 - the index of the first instance in the dataset

id2 - the index of the second instance in the dataset

Returns:

the result of the kernel function

java.lang.Exception

clean

public void clean()

Frees the cache used by the kernel.

Specified by:

clean in class Kernel

numEvals

public int numEvals()

Returns the number of time Eval has been called.

Specified by:

numEvals in class Kernel

Returns:

the number of kernel evaluation.