fr.lip6.kernel.typed
Class DoubleGaussChi1

java.lang.Object
  fr.lip6.kernel.Kernel<double[]>
      fr.lip6.kernel.typed.DoubleGaussChi1

All Implemented Interfaces:

java.io.Serializable

public class DoubleGaussChi1
extends Kernel<double[]>

Gaussian Kernel on double[] that uses a Chi1 distance.

Author:

dpicard

See Also:

Serialized Form

Field Summary

Fields inherited from class fr.lip6.kernel.Kernel

name

Constructor Summary

DoubleGaussChi1()

Method Summary

double	getGamma()
void	setGamma(double gamma)
double	valueOf(double[] t1) kernel similarity to zero
double	valueOf(double[] t1, double[] t2) compute the kernel similarity between two element of input space

Methods inherited from class fr.lip6.kernel.Kernel

getKernelMatrix, getNormalizedKernelMatrix, normalizedValueOf, setName, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

DoubleGaussChi1

public DoubleGaussChi1()

Method Detail

valueOf

public double valueOf(double[] t1,
                      double[] t2)

Description copied from class: Kernel

compute the kernel similarity between two element of input space

Specified by:

valueOf in class Kernel<double[]>

Parameters:

t1 - first element

t2 - second element

Returns:

the kernel value

valueOf

public double valueOf(double[] t1)

Description copied from class: Kernel

kernel similarity to zero

Specified by:

valueOf in class Kernel<double[]>

Parameters:

t1 - the element to compute the similarity to zero

getGamma

public double getGamma()

Returns:

the sigma

setGamma

public void setGamma(double gamma)

Parameters:

gamma - inverse of std dev parameter