learningsets-class

learningsets

show,learningsets-method

An object returned from <code><a rd-options="" href="/link/GenerateLearningsets?package=CMA&version=1.30.0" data-mini-rdoc="CMA::GenerateLearningsets">GenerateLearningsets</a></code>
             which is usually passed as arguments to <code><a rd-options="" href="/link/GeneSelection?package=CMA&version=1.30.0" data-mini-rdoc="CMA::GeneSelection">GeneSelection</a></code>,
             <code><a rd-options="" href="/link/tune?package=CMA&version=1.30.0" data-mini-rdoc="CMA::tune">tune</a></code> and <code><a rd-options="" href="/link/classification?package=CMA&version=1.30.0" data-mini-rdoc="CMA::classification">classification</a></code>.

multivariate

This package provides a comprehensive collection of various microarray-based classification algorithms
both from Machine Learning and Statistics.
Variable Selection, Hyperparameter tuning, Evaluation and Comparison can be performed
combined or stepwise in a user-friendly environment.

Christoph Bernau

Synthesis of microarray-based classification

learningsets-class function

<dl>
    <dt><code>learnmatrix</code>:</dt><dd> A matrix of dimension <code>niter x
	ntrain</code>. Each row contains the indices of those observations
      representing the learningset for one iteration. If <code>method =
	CV</code>, zeros appear due to rounding issues.</dd> <dt><code>method</code>:</dt><dd>The method used to generate the <code>learnmatrix</code>,
                          s.<code><a rd-options="" href="/link/GenerateLearningsets?package=CMA&version=1.30.0" data-mini-rdoc="CMA::GenerateLearningsets">GenerateLearningsets</a></code></dd> <dt><code>ntrain</code>:</dt><dd>Number of observations in one learning set.If
      <code>method = CV</code>, this number is not attained for all
      iterations, due to rounding issues.</dd> <dt><code>iter</code>:</dt><dd>Number of iterations (different learningsets)
      that are stored in <code>learnmatrix</code>.</dd> </dl> 

Slots

<ul>
<li>showUse <code>show(learningsets-object)</code> for brief information.
 </li>
</ul> 

Methods

An object returned from <code><a href="GenerateLearningsets" rd-options="">GenerateLearningsets</a></code>
             which is usually passed as arguments to <code><a href="GeneSelection" rd-options="">GeneSelection</a></code>,
             <code><a href="tune" rd-options="">tune</a></code> and <code><a href="classification" rd-options="">classification</a></code>.

learningsets-class: "learningsets"

Description

Arguments

Slots

Methods

See Also