kernel-class: Class "kernel" "rbfkernel" "polykernel", "tanhkernel",...

In emeryyi/KERE: Expectile Regression in Reproducing Kernel Hilbert Space

Description

The built-in kernel classes in KERE

Objects from the Class

Objects can be created by calls of the form new("rbfkernel"), new{"polykernel"}, new{"tanhkernel"}, new{"vanillakernel"}, new{"anovakernel"}, new{"besselkernel"}, new{"laplacekernel"}, new{"splinekernel"} or by calling the rbfdot, polydot, tanhdot, vanilladot, anovadot, besseldot, laplacedot, splinedot functions etc..

Slots

.Data:

Object of class "function" containing the kernel function

kpar:

Object of class "list" containing the kernel parameters

Extends

Class "kernel", directly. Class "function", by class "kernel".

Methods

kernelMatrix

signature(kernel = "rbfkernel", x = "matrix"): computes the kernel matrix

kernelMult

signature(kernel = "rbfkernel", x = "matrix"): computes the quadratic kernel expression

kernelPol

signature(kernel = "rbfkernel", x = "matrix"): computes the kernel expansion

kernelFast

signature(kernel = "rbfkernel", x = "matrix"),,a: computes parts or the full kernel matrix, mainly used in kernel algorithms where columns of the kernel matrix are computed per invocation

Author(s)

Alexandros Karatzoglou
[e-mail]

See Also

dots

Examples

rbfkernel <- rbfdot(sigma = 0.1)
rbfkernel
is(rbfkernel)
kpar(rbfkernel)

emeryyi/KERE documentation built on May 16, 2019, 5:06 a.m.