mlr3fselect

mlr3fselect-package

<img src="figures/logo.png?package=mlr3fselect&version=1.3.0" style="float: right" alt="logo" width="120">
Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.

Feature selection package of the 'mlr3' ecosystem. It selects
the optimal feature set for any 'mlr3' learner. The package works with
several optimization algorithms e.g. Random Search, Recursive Feature
Elimination, and Genetic Search. Moreover, it can automatically
optimize learners and estimate the performance of optimized feature
sets with nested resampling.

Marc Becker

Feature Selection for 'mlr3'

Patrick Schratz

Michel Lang

Bernd Bischl

John Zobolas

mlr3fselect-package function

Maintainer: Marc Becker <a href="/link/marcbecker%40posteo.de?package=mlr3fselect&version=1.3.0" data-mini-rdoc="mlr3fselect::marcbecker@posteo.de">marcbecker@posteo.de</a> (<a href="https://orcid.org/0000-0002-8115-0400">ORCID</a>)
Authors:<ul>
<li>Patrick Schratz <a href="/link/patrick.schratz%40gmail.com?package=mlr3fselect&version=1.3.0" data-mini-rdoc="mlr3fselect::patrick.schratz@gmail.com">patrick.schratz@gmail.com</a> (<a href="https://orcid.org/0000-0003-0748-6624">ORCID</a>)</li>
<li>Michel Lang <a href="/link/michellang%40gmail.com?package=mlr3fselect&version=1.3.0" data-mini-rdoc="mlr3fselect::michellang@gmail.com">michellang@gmail.com</a> (<a href="https://orcid.org/0000-0001-9754-0393">ORCID</a>)</li>
<li>Bernd Bischl <a href="/link/bernd_bischl%40gmx.net?package=mlr3fselect&version=1.3.0" data-mini-rdoc="mlr3fselect::bernd_bischl@gmx.net">bernd_bischl@gmx.net</a> (<a href="https://orcid.org/0000-0001-6002-6980">ORCID</a>)</li>
<li>John Zobolas <a href="/link/bblodfon%40gmail.com?package=mlr3fselect&version=1.3.0" data-mini-rdoc="mlr3fselect::bblodfon@gmail.com">bblodfon@gmail.com</a> (<a href="https://orcid.org/0000-0002-3609-8674">ORCID</a>)</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.

mlr3fselect: Feature Selection for 'mlr3' — mlr3fselect-package

Maintainer: Marc Becker <a href='mailto:marcbecker@posteo.de'>marcbecker@posteo.de</a> (<a href='https://orcid.org/0000-0002-8115-0400'>ORCID</a>)
Authors:<ul>
<li>Patrick Schratz <a href='mailto:patrick.schratz@gmail.com'>patrick.schratz@gmail.com</a> (<a href='https://orcid.org/0000-0003-0748-6624'>ORCID</a>)</li>
<li>Michel Lang <a href='mailto:michellang@gmail.com'>michellang@gmail.com</a> (<a href='https://orcid.org/0000-0001-9754-0393'>ORCID</a>)</li>
<li>Bernd Bischl <a href='mailto:bernd_bischl@gmx.net'>bernd_bischl@gmx.net</a> (<a href='https://orcid.org/0000-0001-6002-6980'>ORCID</a>)</li>
<li>John Zobolas <a href='mailto:bblodfon@gmail.com'>bblodfon@gmail.com</a> (<a href='https://orcid.org/0000-0002-3609-8674'>ORCID</a>)</li>
</ul>

mlr3fselect-package: mlr3fselect: Feature Selection for 'mlr3'

Description

Arguments

Author

See Also