fr.lip6.kernel.typed.index
Class IndexDoubleGaussL2

java.lang.Object
  fr.lip6.kernel.Kernel<double[]>
      fr.lip6.kernel.typed.index.IndexDoubleGaussL2

All Implemented Interfaces:

java.io.Serializable

public class IndexDoubleGaussL2
extends Kernel<double[]>

Kernel on double[] that computes the L2 distance of a specified component j:
k(x, y) = (x[j]-y[j])*(x[j]-y[j])

Author:

dpicard

See Also:

Serialized Form

Field Summary

Fields inherited from class fr.lip6.kernel.Kernel

name

Constructor Summary

IndexDoubleGaussL2(int feature)

Method Summary

void	setGamma(double g)
void	setIndex(int i)
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

IndexDoubleGaussL2

public IndexDoubleGaussL2(int feature)

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

setGamma

public void setGamma(double g)

setIndex

public void setIndex(int i)