gramm: Gramm Matrices

In cwilso6/RMKL: Multiple Kernel Learning for Classification, Regression Problems, and Survival Settings

Description

This function creates a single gramm matrix for traning set based upon several types of kernels.

Usage

gramm(x, kernel, sigma, degree, scale)

Arguments

x	Matrix of predictors
kernel	Type of kernel used to compute a gramm matrix
sigma	Hyperparameters for radial kernels
degree, scale	Hyperparameter for polynomial kernel

Value

Gramm matrix

Examples

library(kernlab)
data(benchmark.data)
example.data=benchmark.data[[1]]
#Generate linear kernel matrix
gramm(example.data[,1:2],'linear',0,0,0)
#Generate radial kernel matrices with different values for the hyperparameter.
gramm(example.data[,1:2],'radial',2^seq(-3:0),0,0)

cwilso6/RMKL documentation built on May 18, 2021, 9:58 a.m.