scaleMatrix

center

<p>logical; TRUE of x should be scaled by the standard deviation</p>

scale

<p>This function returns an object with a predict method to center and scale new data. Inspired by stdize from the PLS package</p>

A collection of implementations of semi-supervised classifiers
and methods to evaluate their performance. The package includes implementations
of, among others, Implicitly Constrained Learning, Moment Constrained Learning,
the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic
Likelihood estimation, S4VM and WellSVM.

scaleMatrix: Matrix centering and scaling

Description

Usage

Arguments