keel.Algorithms.SVM.SMO.supportVector

Class PDRFKernel

java.lang.Object

keel.Algorithms.SVM.SMO.supportVector.Kernel

keel.Algorithms.SVM.SMO.supportVector.CachedKernel

keel.Algorithms.SVM.SMO.supportVector.PDRFKernel

All Implemented Interfaces:

java.io.Serializable, OptionHandler

public class PDRFKernel
extends CachedKernel

Positive-Definite Reference Function Kernel To be used with PDFS algorithm

Author:

Julian Luengo Martin

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static int	Cauchy Type of Positive Definite Functions supported (Cauchy)
static int	Gaussian Type of Positive Definite Functions supported (Gaussian)
static int	HyperbolicSecant Type of Positive Definite Functions supported (Hyperbolic secant)
static int	Laplace Type of Positive Definite Functions supported (Laplace)
protected double	m_d The d value for the PDRF kernel.
protected double[]	m_kernelPrecalc The precalculated dotproducts of <inst_i,inst_i>
protected int	m_type The type of function used by this kernel
static int	SquaredSinc Type of Positive Definite Functions supported (Squared sinc)
static int	SymmetricTriangle Type of Positive Definite Functions supported (Symmetric Triangle)

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
PDRFKernel() default constructor - does nothing.
PDRFKernel(Instances data, int cacheSize, double gamma) Constructor.

Method Summary

Modifier and Type	Method and Description
double	cauchy(double x) Computes the result of the Cauchy PDRF
java.lang.String	dTipText() Returns the tip text for this property
protected double	evaluate(int id1, int id2, Instance inst1) This method is overridden in subclasses to implement specific kernels.
double	evaluatePRDF(double[] u) Evaluates a vector of doubles (an instance) with the Positive Definite Functions associated
double	gaussian(double x) Computes the result of the Gaussian PDRF
double	getD() Gets the gamma value.
java.lang.String[]	getOptions() Gets the current settings of the Kernel.
java.lang.String	globalInfo() Returns a string describing the kernel
double	hyperbolicSecant(double x) Computes the result of the Hyperbolic Secant PDRF
protected void	initVars(Instances data) initializes variables etc.
double	laplace(double x) Computes the result of the Laplace PDRF
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
void	setD(double value) Sets the gamma value.
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setPDRFType(int type) Sets the Type of Positive Definite Functions used.
double	squaredSinc(double x) Computes the result of the Squared Sinc PDRF
double	symmetricTriangle(double x) Computes the result of the Symmetric Triangle PDRF
java.lang.String	toString() returns a string representation for the Kernel

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

buildKernel, cacheSizeTipText, clean, dotProd, eval, getCacheSize, 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

Field Detail

SymmetricTriangle

public static int SymmetricTriangle

Type of Positive Definite Functions supported (Symmetric Triangle)

Gaussian

public static int Gaussian

Type of Positive Definite Functions supported (Gaussian)

Cauchy

public static int Cauchy

Type of Positive Definite Functions supported (Cauchy)

Laplace

public static int Laplace

Type of Positive Definite Functions supported (Laplace)

HyperbolicSecant

public static int HyperbolicSecant

Type of Positive Definite Functions supported (Hyperbolic secant)

SquaredSinc

public static int SquaredSinc

Type of Positive Definite Functions supported (Squared sinc)

m_kernelPrecalc

protected double[] m_kernelPrecalc

The precalculated dotproducts of <inst_i,inst_i>

m_d

protected double m_d

The d value for the PDRF kernel.

m_type

protected int m_type

The type of function used by this kernel

Constructor Detail

PDRFKernel

public PDRFKernel()

default constructor - does nothing.

PDRFKernel

public PDRFKernel(Instances data,
                  int cacheSize,
                  double gamma)
           throws java.lang.Exception

Constructor. Initializes m_kernelPrecalc[].

Parameters:

data - the data to use

cacheSize - the size of the cache

gamma - the bandwidth

Throws:

java.lang.Exception - if something goes wrong

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing the kernel

Specified by:

globalInfo in class Kernel

Returns:

a description suitable for displaying in the explorer/experimenter gui

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class CachedKernel

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options.

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)

 -G <num>
  The Gamma parameter.
  (default: 0.01)

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class CachedKernel

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the Kernel.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class CachedKernel

Returns:

an array of strings suitable for passing to setOptions

evaluate

protected double evaluate(int id1,
                          int id2,
                          Instance inst1)
                   throws java.lang.Exception

Description copied from class: CachedKernel

This method is overridden in subclasses to implement specific kernels.

Specified by:

evaluate in class CachedKernel

Parameters:

id1 - the index of instance 1

id2 - the index of instance 2

inst1 - the instance 1 object

Returns:

the dot product

Throws:

java.lang.Exception - if something goes wrong

setD

public void setD(double value)

Sets the gamma value.

Parameters:

value - the gamma value

getD

public double getD()

Gets the gamma value.

Returns:

the gamma value

setPDRFType

public void setPDRFType(int type)

Sets the Type of Positive Definite Functions used. SymmetricTriangle = 1, Gaussian = 2, Cauchy = 3, Laplace = 4, HyperbolicSecant = 5, SquaredSinc = 6.

Parameters:

type - integer that indentify the function used.

dTipText

public java.lang.String dTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

initVars

protected void initVars(Instances data)

initializes variables etc.

Overrides:

initVars in class CachedKernel

Parameters:

data - the data to use

toString

public java.lang.String toString()

returns a string representation for the Kernel

Overrides:

toString in class java.lang.Object

Returns:

a string representation of the kernel

evaluatePRDF

public double evaluatePRDF(double[] u)

Evaluates a vector of doubles (an instance) with the Positive Definite Functions associated

Parameters:

u - The instance to be evaluated

Returns:

The result of evaluate the instance with the PDRF

symmetricTriangle

public double symmetricTriangle(double x)

Computes the result of the Symmetric Triangle PDRF

Parameters:

x - The input of this function (x-z)

Returns:

The result obtained

gaussian

public double gaussian(double x)

Computes the result of the Gaussian PDRF

Parameters:

x - The input of this function (x-z)

Returns:

The result obtained

cauchy

public double cauchy(double x)

Computes the result of the Cauchy PDRF

Parameters:

x - The input of this function (x-z)

Returns:

The result obtained

laplace

public double laplace(double x)

Computes the result of the Laplace PDRF

Parameters:

x - The input of this function (x-z)

Returns:

The result obtained

hyperbolicSecant

public double hyperbolicSecant(double x)

Computes the result of the Hyperbolic Secant PDRF

Parameters:

x - The input of this function (x-z)

Returns:

The result obtained

squaredSinc

public double squaredSinc(double x)

Computes the result of the Squared Sinc PDRF

Parameters:

x - The input of this function (x-z)

Returns:

The result obtained