sigest.random: Interal functions

In linxihui/lazyML: Automatic machine learning algorithms and hyper-parameters selection

Description

Interal functions

Usage

sigest.random(x, frac = 0.5, scaled = TRUE, na.action = na.omit,
  len = 3)

addInteraction(x, squared = TRUE)

Arguments

x	Design matrix
frac	Fraction of data used
scaled	If to scale column in x
na.action	How to handle missing values
len	Number of sigma inverse values to general
squared	If squared terms should be added

Details

sigest.random is a modified version of kernlab::sigest, aiming to generate tuning parameters for sigmal inverse of an RBF kernel, base on kernlab::sigest. It returns a vector of sigma inverse value. For details, see kernlab::sigest. addInteraction adds 2-way interactions and/or squared terms to the design matrix.

Value

A vector of of sigma inverse values

See Also

Please see kernlab::sigest for details

linxihui/lazyML documentation built on May 21, 2019, 6:39 a.m.