acqo

This function allows to construct an AcqOptimizer in the spirit
of <code>mlr_sugar</code> from <a href="https://CRAN.R-project.org/package=mlr3">mlr3</a>.

A modern and flexible approach to Bayesian Optimization / Model
Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox
providing both ready-to-use optimization algorithms as well as their fundamental
building blocks allowing for straightforward implementation of custom
algorithms. Single- and multi-objective optimization is supported as well as
mixed continuous, categorical and conditional search spaces. Moreover, using
'mlr3mbo' for hyperparameter optimization of machine learning models within the
'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use
optimization algorithms include Efficient Global Optimization by Jones et al.
(1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006)
<doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008)
<doi:10.1007/978-3-540-87700-4_78>.

Marc Becker

mlr3mbo

Flexible Bayesian Optimization

Lennart Schneider

Jakob Richter

Michel Lang

Bernd Bischl

Florian Pfisterer

Martin Binder

Sebastian Fischer

Michael H. Buselli

Wessel Dankers

Carlos Fonseca

Manuel Lopez-Ibanez

Luis Paquete

acqo function

<dl><dt>optimizer</dt>
<dd>(bbotk::OptimizerBatch | <code>character(1)</code>) 
bbotk::OptimizerBatch that is to be used or the name of the optimizer in mlr_acqoptimizers.
If <code>optimizer</code> is missing, the mlr_acqoptimizers dictionary is returned.</dd>
<dt>terminator</dt>
<dd>(bbotk::Terminator) 
bbotk::Terminator that is to be used.</dd>
<dt>acq_function</dt>
<dd>(<code>NULL</code> | AcqFunction) 
AcqFunction that is to be used.
Can also be <code>NULL</code>.</dd>
<dt>callbacks</dt>
<dd>(<code>NULL</code> | list of mlr3misc::Callback)
Callbacks used during acquisition function optimization.</dd>
<dt>...</dt>
<dd>(named <code><a href="/link/list()?package=mlr3mbo&version=1.2.1" data-mini-rdoc="mlr3mbo::list()">list()</a></code>) 
Named arguments passed to the constructor, to be set as parameters in the paradox::ParamSet.</dd></dl>

Arguments

This function allows to construct an AcqOptimizer in the spirit
of <code>mlr_sugar</code> from <a href='https://CRAN.R-project.org/package=mlr3'>mlr3</a>.

Syntactic Sugar Acquisition Function Optimizer Construction — acqo

<dl>

<dt>optimizer</dt>
<dd>(bbotk::OptimizerBatch | <code>character(1)</code>) 
bbotk::OptimizerBatch that is to be used or the name of the optimizer in mlr_acqoptimizers.
If <code>optimizer</code> is missing, the mlr_acqoptimizers dictionary is returned.</dd>


<dt>terminator</dt>
<dd>(bbotk::Terminator) 
bbotk::Terminator that is to be used.</dd>


<dt>acq_function</dt>
<dd>(<code>NULL</code> | AcqFunction) 
AcqFunction that is to be used.
Can also be <code>NULL</code>.</dd>


<dt>callbacks</dt>
<dd>(<code>NULL</code> | list of mlr3misc::Callback)
Callbacks used during acquisition function optimization.</dd>


<dt>...</dt>
<dd>(named <code><a href='https://rdrr.io/r/base/list.html'>list()</a></code>) 
Named arguments passed to the constructor, to be set as parameters in the paradox::ParamSet.</dd>

</dl>

Syntactic Sugar Acquisition Function Optimizer Construction

acqo: Syntactic Sugar Acquisition Function Optimizer Construction

Description

Usage

Value

Arguments

Examples