RMKL (version 1.0)

grammpred: Gramm Matrix for Test dataset

Description

This function creates gramm matrix for test dataset based upon several types of kernel.

Usage

grammpred(xtrain, xtest, kernel, sigma, degree, scale)

Arguments

xtrain

Matrix of predictors for the training set

xtest

Matrix of predictors for the test set

kernel

Type of kernel used to compute a gramm matrix

sigma

Hyperparameters for radial kernels

degree, scale

Hyperparameter for polynomial kernel

Value

Gramm matrix for test set

Examples

# NOT RUN {
library(kernlab)
data(benchmark.data)
example.data=benchmark.data[[1]]
#Create split between training samples and test samples
training.samples=sample(1:dim(example.data)[1],floor(0.7*dim(example.data)[1]),replace=FALSE)
xtrain=example.data[training.samples,1:2]
xtest=example.data[-training.samples,1:2]
#Generate linear kernel
grammpred(xtrain,xtest,'linear',0,0,0)
#Generate radial kernels with different values for the hyperparameter.
grammpred(xtrain,xtest,'radial',2^seq(-3:0),0,0)
# }