mlr3mbo_conditions

error_random_interleave

error_surrogate_update

error_acq_optimizer

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

mlr3mbo_conditions function

<dl><dt>msg</dt>
<dd>(<code>character(1)</code>) 
Error message.</dd>
<dt>...</dt>
<dd>(any) 
Passed to <code><a href="/link/sprintf()?package=mlr3mbo&version=1.0.0" data-mini-rdoc="mlr3mbo::sprintf()">sprintf()</a></code>.</dd>
<dt>class</dt>
<dd>(<code>character</code>) 
Additional class(es).</dd>
<dt>signal</dt>
<dd>(<code>logical(1)</code>) 
If <code>FALSE</code>, the condition object is returned instead of being signaled.</dd>
<dt>parent</dt>
<dd>(<code>condition</code>) 
Parent condition.</dd></dl>

Arguments

<ul>
<li><code>error_random_interleave()</code> for the <code>Mlr3ErrorMboRandomInterleave</code> class,
signalling a random interleave error.</li>
<li><code>error_surrogate_update()</code> for the <code>Mlr3ErrorMboSurrogateUpdate</code> class,
signalling a surrogate update error.</li>
<li><code>error_acq_optimizer()</code> for the <code>Mlr3ErrorMboAcqOptimizer</code> class,
signalling an acquisition function optimizer error.</li>
</ul>

Errors

Condition Classes for mlr3mbo — mlr3mbo_conditions

<dl>

<dt>msg</dt>
<dd>(<code>character(1)</code>) 
Error message.</dd>


<dt>...</dt>
<dd>(any) 
Passed to <code><a href='https://rdrr.io/r/base/sprintf.html'>sprintf()</a></code>.</dd>


<dt>class</dt>
<dd>(<code>character</code>) 
Additional class(es).</dd>


<dt>signal</dt>
<dd>(<code>logical(1)</code>) 
If <code>FALSE</code>, the condition object is returned instead of being signaled.</dd>


<dt>parent</dt>
<dd>(<code>condition</code>) 
Parent condition.</dd>

</dl>

<ul>
<li><code>error_random_interleave()</code> for the <code>Mlr3ErrorMboRandomInterleave</code> class,
signalling a random interleave error.</li>
<li><code>error_surrogate_update()</code> for the <code>Mlr3ErrorMboSurrogateUpdate</code> class,
signalling a surrogate update error.</li>
<li><code>error_acq_optimizer()</code> for the <code>Mlr3ErrorMboAcqOptimizer</code> class,
signalling an acquisition function optimizer error.</li>
</ul>

Condition Classes for mlr3mbo

mlr3mbo_conditions: Condition Classes for mlr3mbo

Description

Usage

Arguments

Errors