com.rapidminer.tools.math.kernels
Class GaussianCombinationKernel

java.lang.Object
  com.rapidminer.tools.math.kernels.Kernel
      com.rapidminer.tools.math.kernels.GaussianCombinationKernel

All Implemented Interfaces:

java.io.Serializable

public class GaussianCombinationKernel
extends Kernel

Returns the value of the Gaussian combination kernel of both examples.

Author:

Ingo Mierswa

See Also:

Serialized Form

Field Summary

Fields inherited from class com.rapidminer.tools.math.kernels.Kernel

KERNEL_ANOVA, KERNEL_DOT, KERNEL_EPANECHNIKOV, KERNEL_GAUSSIAN_COMBINATION, KERNEL_MULTIQUADRIC, KERNEL_POLYNOMIAL, KERNEL_RADIAL, KERNEL_SIGMOID, KERNEL_TYPES, PARAMETER_KERNEL_A, PARAMETER_KERNEL_B, PARAMETER_KERNEL_DEGREE, PARAMETER_KERNEL_GAMMA, PARAMETER_KERNEL_SHIFT, PARAMETER_KERNEL_SIGMA1, PARAMETER_KERNEL_SIGMA2, PARAMETER_KERNEL_SIGMA3, PARAMETER_KERNEL_TYPE

Constructor Summary

GaussianCombinationKernel()

Method Summary

double	calculateDistance(double[] x1, double[] x2) Calculates kernel value of vectors x and y.
java.lang.String	getDistanceFormula(double[] x, java.lang.String[] attributeConstructions)
double	getSigma1()
double	getSigma2()
double	getSigma3()
int	getType() Must return one out of KERNEL_DOT, KERNEL_RADIAL, KERNEL_POLYNOMIAL, KERNEL_SIGMOID, KERNEL_ANOVA, KERNEL_EPANECHNIKOV, KERNEL_GAUSSIAN_COMBINATION, or KERNEL_MULTIQUADRIC.
void	setSigma1(double sigma1)
void	setSigma2(double sigma2)
void	setSigma3(double sigma3)
java.lang.String	toString()

Methods inherited from class com.rapidminer.tools.math.kernels.Kernel

createKernel, getAttributeValues, getDistance, getParameters, getSum, init, innerProduct, norm2

Methods inherited from class java.lang.Object

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

Constructor Detail

GaussianCombinationKernel

public GaussianCombinationKernel()

Method Detail

getType

public int getType()

Description copied from class: Kernel

Must return one out of KERNEL_DOT, KERNEL_RADIAL, KERNEL_POLYNOMIAL, KERNEL_SIGMOID, KERNEL_ANOVA, KERNEL_EPANECHNIKOV, KERNEL_GAUSSIAN_COMBINATION, or KERNEL_MULTIQUADRIC.

Specified by:

getType in class Kernel

setSigma1

public void setSigma1(double sigma1)

setSigma2

public void setSigma2(double sigma2)

setSigma3

public void setSigma3(double sigma3)

getSigma1

public double getSigma1()

getSigma2

public double getSigma2()

getSigma3

public double getSigma3()

calculateDistance

public double calculateDistance(double[] x1,
                                double[] x2)

Calculates kernel value of vectors x and y.

Specified by:

calculateDistance in class Kernel

getDistanceFormula

public java.lang.String getDistanceFormula(double[] x,
                                           java.lang.String[] attributeConstructions)

Specified by:

getDistanceFormula in class Kernel

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object