Catalano.Statistics.Kernels

Interface IMercerKernel<T>

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

Additive, Anova, Bessel, BSpline, Cauchy, ChiSquare, Circular, Dirichlet, Gaussian, Hellinger, HistogramIntersection, Hypersecant, InverseMultiquadric, Linear, Log, Multiquadric, NormalizedPolynomial, Pearson, Polynomial, Power, RationalQuadratic, Sigmoid, Spherical, Spline, SquaredSinc, SymmetricTriangle, Tensor, ThinPlateSpline, TStudent, Wave

public interface IMercerKernel<T>
extends java.io.Serializable

Kernel function interface. In Machine Learning and statistics, a Kernel is a function that returns the value of the dot product between the images of the two arguments.

Method Summary

Modifier and Type	Method and Description
double	Function(T x, T y) The kernel function.

Method Detail

Function

double Function(T x,
                T y)

The kernel function.

Parameters:

x - Vector x in input space.

y - Vector y in input space.

Returns:

Dot product in feature (kernel) space.