keel.Algorithms.SVM.SMO.supportVector

Class NormalizedPolyKernel

java.lang.Object

keel.Algorithms.SVM.SMO.supportVector.Kernel

keel.Algorithms.SVM.SMO.supportVector.CachedKernel

keel.Algorithms.SVM.SMO.supportVector.PolyKernel

keel.Algorithms.SVM.SMO.supportVector.NormalizedPolyKernel

All Implemented Interfaces:

java.io.Serializable, OptionHandler

public class NormalizedPolyKernel
extends PolyKernel

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

Valid options are:

 -D
  Enables debugging output (if available) to be printed.
  (default: off)

 -no-checks
  Turns off all checks - use with caution!
  (default: checks on)

 -C <num>
  The size of the cache (a prime number).
  (default: 250007)

 -E <num>
  The Exponent to use.
  (default: 1.0)

 -L
  Use lower-order terms.
  (default: no)

Version:

$Revision: 1.1 $

Author:

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

See Also:

Serialized Form

Field Summary

Fields inherited from class keel.Algorithms.SVM.SMO.supportVector.PolyKernel

m_exponent, m_lowerOrder

Fields inherited from class keel.Algorithms.SVM.SMO.supportVector.CachedKernel

m_cacheHits, m_cacheSize, m_cacheSlots, m_kernelEvals, m_kernelMatrix, m_keys, m_numInsts, m_storage

Fields inherited from class keel.Algorithms.SVM.SMO.supportVector.Kernel

m_ChecksTurnedOff, m_data, m_Debug

Constructor Summary

Constructors

Constructor and Description
NormalizedPolyKernel() default constructor - does nothing
NormalizedPolyKernel(Instances dataset, int cacheSize, double exponent, boolean lowerOrder) Creates a new NormalizedPolyKernel instance.

Method Summary

Modifier and Type	Method and Description
double	eval(int id1, int id2, Instance inst1) Computes the result of the kernel function for two instances.
java.lang.String	globalInfo() Returns a string describing the kernel
void	setExponent(double value) Sets the exponent value (must be different from 1.0).
java.lang.String	toString() returns a string representation for the Kernel

Methods inherited from class keel.Algorithms.SVM.SMO.supportVector.PolyKernel

evaluate, exponentTipText, getExponent, getOptions, getUseLowerOrder, listOptions, setOptions, setUseLowerOrder, useLowerOrderTipText

Methods inherited from class keel.Algorithms.SVM.SMO.supportVector.CachedKernel

buildKernel, cacheSizeTipText, clean, dotProd, getCacheSize, initVars, numCacheHits, numEvals, setCacheSize

Methods inherited from class keel.Algorithms.SVM.SMO.supportVector.Kernel

checksTurnedOffTipText, debugTipText, forName, getChecksTurnedOff, getDebug, makeCopies, makeCopy, setChecksTurnedOff, setDebug

Methods inherited from class java.lang.Object

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

Constructor Detail

NormalizedPolyKernel

public NormalizedPolyKernel()

default constructor - does nothing

NormalizedPolyKernel

public NormalizedPolyKernel(Instances dataset,
                            int cacheSize,
                            double exponent,
                            boolean lowerOrder)
                     throws java.lang.Exception

Creates a new NormalizedPolyKernel instance.

Parameters:

dataset - the training dataset used.

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

exponent - the exponent to use

lowerOrder - whether to use lower-order terms

Throws:

java.lang.Exception - if something goes wrong

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing the kernel

Overrides:

globalInfo in class PolyKernel

Returns:

a description suitable for displaying in the explorer/experimenter gui

eval

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

Computes the result of the kernel function for two instances. If id1 == -1, eval use inst1 instead of an instance in the dataset. Redefines the eval function of PolyKernel.

Overrides:

eval in class CachedKernel

Parameters:

id1 - the index of the first instance in the dataset

id2 - the index of the second instance in the dataset

inst1 - the instance corresponding to id1 (used if id1 == -1)

Returns:

the result of the kernel function

Throws:

java.lang.Exception - if something goes wrong

setExponent

public void setExponent(double value)

Sets the exponent value (must be different from 1.0).

Overrides:

setExponent in class PolyKernel

Parameters:

value - the exponent value

toString

public java.lang.String toString()

returns a string representation for the Kernel

Overrides:

toString in class PolyKernel

Returns:

a string representaiton of the kernel