predict,scaleMatrix-method

Predict for matrix scaling inspired by stdize from the PLS package

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.

Jesse Krijthe

RSSL

Implementations of Semi-Supervised Learning Approaches for
Classification

predict,scaleMatrix-method function

<dl><dt>object</dt>
<dd>scaleMatrix object</dd>
<dt>newdata</dt>
<dd>data to be scaled</dd>
<dt>...</dt>
<dd>Not used</dd></dl>

Arguments

Predict for matrix scaling inspired by stdize from the PLS package — predict,scaleMatrix-method

<dl>

<dt>object</dt>
<dd>scaleMatrix object</dd>


<dt>newdata</dt>
<dd>data to be scaled</dd>


<dt>...</dt>
<dd>Not used</dd>

</dl>

predict,scaleMatrix-method: Predict for matrix scaling inspired by stdize from the PLS package

Description

Usage

Arguments