fr.lip6.kernel
Class ThreadedKernel<T>

java.lang.Object
  fr.lip6.kernel.Kernel<T>
      fr.lip6.kernel.ThreadedKernel<T>

Type Parameters:

T -

All Implemented Interfaces:

java.io.Serializable

public class ThreadedKernel<T>
extends Kernel<T>

Simple multithreaded implementation over a given Kernel. The multithreading comes only when computing the Gram matrix.
Number of Threads is function of available processors.

Author:

dpicard

See Also:

Serialized Form

Field Summary

protected Kernel<T>	k
protected int	numThread

Fields inherited from class fr.lip6.kernel.Kernel

name

Constructor Summary

ThreadedKernel(Kernel<T> kernel)
MultiThread the given kernel

Method Summary

double[][]	getKernelMatrix(java.util.ArrayList<TrainingSample<T>> e) return the Gram Matrix of this kernel computed on given samples
double	valueOf(T t1) kernel similarity to zero
double	valueOf(T t1, T t2) compute the kernel similarity between two element of input space

Methods inherited from class fr.lip6.kernel.Kernel

getNormalizedKernelMatrix, normalizedValueOf, setName, toString

Methods inherited from class java.lang.Object

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

Field Detail

numThread

protected int numThread

k

protected Kernel<T> k

Constructor Detail

ThreadedKernel

public ThreadedKernel(Kernel<T> kernel)

MultiThread the given kernel

Parameters:

kernel -

Method Detail

valueOf

public double valueOf(T t1,
                      T t2)

Description copied from class: Kernel

compute the kernel similarity between two element of input space

Specified by:

valueOf in class Kernel<T>

Parameters:

t1 - first element

t2 - second element

Returns:

the kernel value

valueOf

public double valueOf(T t1)

Description copied from class: Kernel

kernel similarity to zero

Specified by:

valueOf in class Kernel<T>

Parameters:

t1 - the element to compute the similarity to zero

getKernelMatrix

public double[][] getKernelMatrix(java.util.ArrayList<TrainingSample<T>> e)

Description copied from class: Kernel

return the Gram Matrix of this kernel computed on given samples

Overrides:

getKernelMatrix in class Kernel<T>

Returns:

double[][] containing similarities in the order of the e.