kernel_pc_boosting: Function to perform Kernel Principal Component Boosting

In Luisiglm/KBoost: Inference of gene regulatory networks from gene expression data

Description

Function to perform Kernel Principal Component Boosting

Usage

kernel_pc_boosting(X, Y, g, v, ite, thr)

Arguments

X	A matrix with the explanatory variables.
Y	a matrix with the variable to predict.
g	a positive number with the width parameter for the RBF Kernel.
v	a number between 0 and 1 that corresponds to the shrinkage parameter.
ite	an integer with the number of iterations.
thr	a threshold to discard Kernel principal components whose eigenvalue

Value

function an sum of squared errors.

Examples

data(D4_multi_1)
Y = scale(matrix(D4_multi_1[,91],100,1))
X = scale(D4_multi_1[,-91])
res = kernel_pc_boosting(X,Y, g= 40, v = 0.5, ite = 3, thr = 1e-10)

Luisiglm/KBoost documentation built on May 13, 2021, 7:27 p.m.