fr.lip6.kernel
Class LinearKernel<T extends MLVector<?>>

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

Type Parameters:

T - type of vectors the kernel must work with

All Implemented Interfaces:

java.io.Serializable

public class LinearKernel<T extends MLVector<?>>
extends Kernel<T>

Simplest kernel equivalent to a dot product that works for any types of vectors (FloatVectors, ByteVectors, etc).

Author:

dpicard

See Also:

Serialized Form

Constructor Summary

LinearKernel()

Method Summary

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

NormalizedValueOf

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearKernel

public LinearKernel()

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 extends MLVector<?>>

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 extends MLVector<?>>

Parameters:

t1 - the element to compute the similarity to zero