fr.lip6.kernel.typed
Class DoubleGaussL2

java.lang.Object
  fr.lip6.kernel.Kernel<double[]>
      fr.lip6.kernel.typed.DoubleGaussL2

All Implemented Interfaces:

java.io.Serializable

public class DoubleGaussL2
extends Kernel<double[]>

Gaussian Kernel on double[] that uses a L2 distance.

Author:

dpicard

See Also:

Serialized Form

Field Summary

Fields inherited from class fr.lip6.kernel.Kernel

name

Constructor Summary

DoubleGaussL2()

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

DoubleGaussL2

public DoubleGaussL2()

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