it.uniroma2.sag.kelp.kernel.vector

Class LinearKernel

java.lang.Object

it.uniroma2.sag.kelp.kernel.Kernel

it.uniroma2.sag.kelp.kernel.DirectKernel<Vector>

it.uniroma2.sag.kelp.kernel.vector.LinearKernel

public class LinearKernel
extends DirectKernel<Vector>

Linear Kernel for Vectors
It executes the dot product between two Vector representations

Author:

Simone Filice

Field Summary

Fields inherited from class it.uniroma2.sag.kelp.kernel.DirectKernel

representation

Constructor Summary

Constructors

Constructor and Description
LinearKernel()
LinearKernel(String representationIdentifier)

Method Summary

Methods

Modifier and Type	Method and Description
float	kernelComputation(Vector repA, Vector repB) Computes the kernel similarity between two specific representations

Methods inherited from class it.uniroma2.sag.kelp.kernel.DirectKernel

getRepresentation, kernelComputation, setRepresentation

Methods inherited from class it.uniroma2.sag.kelp.kernel.Kernel

disableCache, getKernelCache, getKernelComputations, getNumberOfHits, getNumberOfMisses, getSquaredNormCache, innerProduct, load, reset, save, setKernelCache, setSquaredNormCache, squaredNorm, squaredNormOfTheDifference

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearKernel

public LinearKernel(String representationIdentifier)

LinearKernel

public LinearKernel()

Method Detail

kernelComputation

public float kernelComputation(Vector repA,
                      Vector repB)

Description copied from class: DirectKernel

Computes the kernel similarity between two specific representations

Specified by:

kernelComputation in class DirectKernel<Vector>

Parameters:

repA - the first representation in the kernel similarity

repB - the second representation in the kernel similarity

Returns:

the kernel similarity