Regression.Integrator.PCR.SelMin.Config-class

Configuration class for PCR-base integration, where the number of PC's is selected to minimize the cross-validation error of the integrator.

classes

Extends the base classes and methods of 'EnsembleBase' package for Principal-Components-Regression-based (PCR) integration of base learners. Default implementation uses cross-validation error to choose the optimal number of PC components for the final predictor. The package takes advantage of the file method provided in 'EnsembleBase' package for writing estimation objects to disk in order to circumvent RAM bottleneck. Special save and load methods are provided to allow estimation objects to be saved to permanent files on disk, and to be loaded again into temporary files in a later R session. Users and developers can extend the package by extending the generic methods and classes provided in 'EnsembleBase' package as well as this package.

Alireza Mahani

EnsemblePCReg

Extensible Package for Principal-Component-Regression-Based
Heterogeneous Ensemble Meta-Learning

Regression.Integrator.PCR.SelMin.Config-class function

Objects can be created by calls of the form <code>new("Regression.Integrator.PCR.SelMin.Config", ...)</code>.

Objects from the Class

<dl class="dl-horizontal">
 <dt><code>partition</code>:</dt><dd>Object of class <code>"integer"</code>, data partition to use for cross-validation selection of optimal PC's in PCR integration. This can be the output of <code><a rd-options="EnsembleBase" href="/link/generate.partition?package=EnsemblePCReg&version=1.1.4&to=EnsembleBase" data-mini-rdoc="EnsembleBase::generate.partition">generate.partition</a></code>.</dd>
 <dt><code>errfun</code>:</dt><dd>Object of class <code>"function"</code>, error function to use for selecting best number of PC's.</dd>
 </dl>

Slots

Class <code>"<a href="/link/?package=EnsemblePCReg&version=1.1.4" regression.integrator.config'="" data-mini-rdoc="EnsemblePCReg::"></a>'>Regression.Integrator.Config"</code>, directly.

Extends

<dl class="dl-horizontal">
 <dt>Regression.Integrator.Fit</dt><dd><code>signature(object = "Regression.Integrator.PCR.SelMin.Config")</code>: ...</dd>
 </dl>

Methods

Class <code>"Regression.Integrator.PCR.SelMin.Config"</code> — Regression.Integrator.PCR.SelMin.Config-class

<dl class='dl-horizontal'>
 <dt><code>partition</code>:</dt><dd>Object of class <code>"integer"</code>, data partition to use for cross-validation selection of optimal PC's in PCR integration. This can be the output of <code><a rd-options='EnsembleBase' href='generate.partition'>generate.partition</a></code>.</dd>
 <dt><code>errfun</code>:</dt><dd>Object of class <code>"function"</code>, error function to use for selecting best number of PC's.</dd>
 </dl>

Class <code>"<a href='<a href='Regression.Integrator.Config'></a>'>Regression.Integrator.Config</a>"</code>, directly.

<dl class='dl-horizontal'>
 <dt>Regression.Integrator.Fit</dt><dd><code>signature(object = "Regression.Integrator.PCR.SelMin.Config")</code>: ...</dd>
 </dl>

Regression.Integrator.PCR.SelMin.Config-class: Class `"Regression.Integrator.PCR.SelMin.Config"`

Description

Arguments

Objects from the Class

Slots

Extends

Methods

See Also