mlr3tuning

mlr3tuning-package

<img src="figures/logo.png?package=mlr3tuning&version=1.7.0" style="float: right" alt="logo" width="120">
Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.

Hyperparameter optimization package of the 'mlr3' ecosystem.
It features highly configurable search spaces via the 'paradox'
package and finds optimal hyperparameter configurations for any 'mlr3'
learner.  'mlr3tuning' works with several optimization algorithms e.g.
Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo')
and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically
optimize learners and estimate the performance of optimized models
with nested resampling.

Marc Becker

Hyperparameter Optimization for 'mlr3'

Michel Lang

Jakob Richter

Bernd Bischl

Daniel Schalk

mlr3tuning-package function

Maintainer: Marc Becker <a href="/link/marcbecker%40posteo.de?package=mlr3tuning&version=1.7.0" data-mini-rdoc="mlr3tuning::marcbecker@posteo.de">marcbecker@posteo.de</a> (<a href="https://orcid.org/0000-0002-8115-0400">ORCID</a>)
Authors:<ul>
<li>Marc Becker <a href="/link/marcbecker%40posteo.de?package=mlr3tuning&version=1.7.0" data-mini-rdoc="mlr3tuning::marcbecker@posteo.de">marcbecker@posteo.de</a> (<a href="https://orcid.org/0000-0002-8115-0400">ORCID</a>)</li>
<li>Michel Lang <a href="/link/michellang%40gmail.com?package=mlr3tuning&version=1.7.0" data-mini-rdoc="mlr3tuning::michellang@gmail.com">michellang@gmail.com</a> (<a href="https://orcid.org/0000-0001-9754-0393">ORCID</a>)</li>
<li>Jakob Richter <a href="/link/jakob1richter%40gmail.com?package=mlr3tuning&version=1.7.0" data-mini-rdoc="mlr3tuning::jakob1richter@gmail.com">jakob1richter@gmail.com</a> (<a href="https://orcid.org/0000-0003-4481-5554">ORCID</a>)</li>
<li>Bernd Bischl <a href="/link/bernd_bischl%40gmx.net?package=mlr3tuning&version=1.7.0" data-mini-rdoc="mlr3tuning::bernd_bischl@gmx.net">bernd_bischl@gmx.net</a> (<a href="https://orcid.org/0000-0001-6002-6980">ORCID</a>)</li>
<li>Daniel Schalk <a href="/link/daniel.schalk%40stat.uni-muenchen.de?package=mlr3tuning&version=1.7.0" data-mini-rdoc="mlr3tuning::daniel.schalk@stat.uni-muenchen.de">daniel.schalk@stat.uni-muenchen.de</a> (<a href="https://orcid.org/0000-0003-0950-1947">ORCID</a>)</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.

mlr3tuning: Hyperparameter Optimization for 'mlr3' — mlr3tuning-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>Marc Becker <a href='mailto:marcbecker@posteo.de'>marcbecker@posteo.de</a> (<a href='https://orcid.org/0000-0002-8115-0400'>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>Jakob Richter <a href='mailto:jakob1richter@gmail.com'>jakob1richter@gmail.com</a> (<a href='https://orcid.org/0000-0003-4481-5554'>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>Daniel Schalk <a href='mailto:daniel.schalk@stat.uni-muenchen.de'>daniel.schalk@stat.uni-muenchen.de</a> (<a href='https://orcid.org/0000-0003-0950-1947'>ORCID</a>)</li>
</ul>

mlr3tuning-package: mlr3tuning: Hyperparameter Optimization for 'mlr3'

Description

Arguments

Author

See Also