smile.math.kernel

Class BinarySparseGaussianKernel

java.lang.Object

smile.math.kernel.BinarySparseGaussianKernel

All Implemented Interfaces:

MercerKernel<int[]>

public class BinarySparseGaussianKernel
extends Object
implements MercerKernel<int[]>

The Gaussian Mercer Kernel. k(u, v) = e^{-||u-v||2 / (2 * σ2)}, where σ > 0 is the scale parameter of the kernel. The kernel works on sparse binary array as int[], which are the indices of nonzero elements.

The Gaussian kernel is a good choice for a great deal of applications, although sometimes it is remarked as being overused.

Author:

Haifeng Li

Constructor Summary

Constructors

Constructor and Description
BinarySparseGaussianKernel(double sigma) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double	k(int[] x, int[] y) Kernel function.
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

BinarySparseGaussianKernel

public BinarySparseGaussianKernel(double sigma)

Constructor.

Parameters:

sigma - the smooth/width parameter of Gaussian kernel.

Method Detail

toString

public String toString()

Overrides:

toString in class Object

k

public double k(int[] x,
       int[] y)

Description copied from interface: MercerKernel

Kernel function.

Specified by:

k in interface MercerKernel<int[]>