com.aliasi.matrix

Class DotProductKernel

java.lang.Object

com.aliasi.matrix.DotProductKernel

All Implemented Interfaces:

KernelFunction, Proximity<Vector>, Serializable

public class DotProductKernel
extends Object
implements KernelFunction, Serializable

The DotProductKernel is the trivial kernel function computed by taking the dot product of the input vectors. The dot-product kernel is, for instance, the kernel to use for the ordinary (non-kernel) perceptron. Typically, this kernel is used as a baseline, as polynomial and radial basis kernels tend to perform better in practice for classification and clustering problems.

Since:

LingPipe3.1

Version:

3.1

Author:

Bob Carpenter

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DotProductKernel() Construct a dot-product kernel.

Method Summary

Modifier and Type	Method and Description
double	proximity(Vector v1, Vector v2) Returns the dot product of the input vectors.
String	toString() Returns a string-based representation of this kernel.

Methods inherited from class java.lang.Object

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

Constructor Detail

DotProductKernel

public DotProductKernel()

Construct a dot-product kernel.

Method Detail

toString

public String toString()

Returns a string-based representation of this kernel.

Overrides:

toString in class Object

Returns:

A string representing this kernel.

proximity

public double proximity(Vector v1,
                        Vector v2)

Returns the dot product of the input vectors.

Specified by:

proximity in interface KernelFunction

Specified by:

proximity in interface Proximity<Vector>

Parameters:

v1 - First vector.

v2 - Second vector.

Returns:

The dot product of the two vectors.

Throws:

IllegalArgumentException - If the vectors are not of the same dimensionality.