Package jsat.distributions.kernels

Interface Summary

Interface	Description
KernelTrick	The KernelTrick is a method can can be used to alter an algorithm to do its calculations in a projected feature space, without explicitly forming the features.

Class Summary

Class	Description
BaseKernelTrick	This provides a simple base implementation for the cache related methods in Kernel Trick.
BaseL2Kernel	Many Kernels can be described in terms the L2 norm with some operations performed on it.
DistanceMetricBasedKernel	This abstract class provides the means of implementing a Kernel based off some DistanceMetric.
GeneralRBFKernel	This class provides a generalization of the RBFKernel to arbitrary distance metrics, and is of the form exp(-d(x, y)2/(2 σ2 )).
KernelPoint	The Kernel Point represents a kernelized weight vector by a linear combination of vectors transformed through a kernel fuctiion.
KernelPoints	This class represents a list of KernelPoint objects.
LinearKernel	Provides a linear kernel function, which computes the normal dot product.
NormalizedKernel	This provides a wrapper kernel that produces a normalized kernel trick from any input kernel trick.
PolynomialKernel	Provides a Polynomial Kernel of the form k(x,y) = (alpha * x.y + c)^d
PukKernel	The PUK kernel is an alternative to the RBF Kernel.
RationalQuadraticKernel	Provides an implementation of the Rational Quadratic Kernel, which is of the form: k(x, y) = 1 - ||x-y||2 / (||x-y||2 + c)
RBFKernel	Provides a kernel for the Radial Basis Function, which is of the form k(x, y) = exp(-||x-y||2/(2*σ2))
SigmoidKernel	Provides an implementation of the Sigmoid (Hyperbolic Tangent) Kernel, which is of the form: k(x, y) = tanh(alpha * < x, y > +c) Technically, this kernel is not positive definite.

Enum Summary

Enum	Description
KernelPoint.BudgetStrategy	These enums control the method used to reduce the size of the support vector set in the kernel point.