OptimizerBatch

<p>Abstract <code>OptimizerBatch</code> class that implements the base functionality each <code>OptimizerBatch</code> subclass must provide.
A <code>OptimizerBatch</code> object describes the optimization strategy.
A <code>OptimizerBatch</code> object must write its result to the <code>$assign_result()</code> method of the OptimInstance at the end in order to store the best point and its estimated performance vector.</p>

Features highly configurable search spaces via the 'paradox'
package and optimizes every user-defined objective function. The
package includes several optimization algorithms e.g. Random Search,
Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband
(in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning',
'mlr3fselect' and 'miesmuschel'.

Marc Becker

bbotk

Black-Box Optimization Toolkit

Jakob Richter

Michel Lang

Bernd Bischl

Martin Binder

Olaf Mersmann

OptimizerBatch function

<p></p><p></p><p><code>$optimize()</code> supports progress bars via the package <a href="https://CRAN.R-project.org/package=progressr"><span class="pkg">progressr</span></a>
combined with a Terminator. Simply wrap the function in
<code><a href="https://progressr.futureverse.org/reference/with_progress.html">progressr::with_progress()</a></code> to enable them. We recommend to use package
<a href="https://CRAN.R-project.org/package=progress"><span class="pkg">progress</span></a> as backend; enable with <code>progressr::handlers("progress")</code>.</p>

Progress Bars

<p><code>bbotk::Optimizer</code> -&gt; <code>OptimizerBatch</code></p>

Super class


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/OptimizerBatch%24optimize()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::OptimizerBatch$optimize()"><code>OptimizerBatch$optimize()</code></a></p></li>
<li><p><a href="/link/OptimizerBatch%24clone()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::OptimizerBatch$clone()"><code>OptimizerBatch$clone()</code></a></p></li>
</ul></p><p></p></div><p><details open><summary>Inherited methods</summary>
<ul>
<li><span class="pkg-link" data-pkg="bbotk" data-topic="Optimizer" data-id="format"><a href="/link/bbotk%3A%3AOptimizer%24format()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::bbotk::Optimizer$format()"><code>bbotk::Optimizer$format()</code></a></span></li>
<li><span class="pkg-link" data-pkg="bbotk" data-topic="Optimizer" data-id="help"><a href="/link/bbotk%3A%3AOptimizer%24help()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::bbotk::Optimizer$help()"><code>bbotk::Optimizer$help()</code></a></span></li>
<li><span class="pkg-link" data-pkg="bbotk" data-topic="Optimizer" data-id="initialize"><a href="/link/bbotk%3A%3AOptimizer%24initialize()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::bbotk::Optimizer$initialize()"><code>bbotk::Optimizer$initialize()</code></a></span></li>
<li><span class="pkg-link" data-pkg="bbotk" data-topic="Optimizer" data-id="print"><a href="/link/bbotk%3A%3AOptimizer%24print()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::bbotk::Optimizer$print()"><code>bbotk::Optimizer$print()</code></a></span></li>
</ul>
</details></p><p><hr>
<a id="method-OptimizerBatch-optimize"></a></p><div class="section" id="method-optimize-">
<h3>Method <code><a href="/link/optimize()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::optimize()">optimize()</a></code></h3>
<p>Performs the optimization and writes optimization result into OptimInstanceBatch.
The optimization result is returned but the complete optimization path is stored in ArchiveBatch of OptimInstanceBatch.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>OptimizerBatch$optimize(inst)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>inst</code></dt>
<dd><p>(OptimInstanceBatch).</p></dd></dl></div></p><p>
</p><p></p>

<div class="section" id="returns">
<h4>Returns</h4>
<p><a href="/link/data.table%3A%3Adata.table?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::data.table::data.table">data.table::data.table</a>.</p>
</div><p></p><p></p><p><hr>
<a id="method-OptimizerBatch-clone"></a></p><div class="section" id="method-clone-">
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>OptimizerBatch$clone(deep = FALSE)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>deep</code></dt>
<dd><p>Whether to make a deep clone.</p></dd></dl></div></p><p>
</p><p></p>
<p></p><p>
</p>

Methods

Batch Optimizer — OptimizerBatch



<p><code>$optimize()</code> supports progress bars via the package <a href='https://CRAN.R-project.org/package=progressr'><span class="pkg">progressr</span></a>
combined with a Terminator. Simply wrap the function in
<code><a href='https://progressr.futureverse.org/reference/with_progress.html'>progressr::with_progress()</a></code> to enable them. We recommend to use package
<a href='https://CRAN.R-project.org/package=progress'><span class="pkg">progress</span></a> as backend; enable with <code>progressr::handlers("progress")</code>.</p>


<div class='section' id='public-methods'>
<h3>Public methods</h3>

<ul>
<li><p><a href='#method-OptimizerBatch-optimize'><code>OptimizerBatch$optimize()</code></a></p></li>
<li><p><a href='#method-OptimizerBatch-clone'><code>OptimizerBatch$clone()</code></a></p></li>
</ul>

</div><p><details open><summary>Inherited methods</summary>
<ul>
<li><span class="pkg-link" data-pkg="bbotk" data-topic="Optimizer" data-id="format"><a href='../../bbotk/html/Optimizer.html#method-Optimizer-format'><code>bbotk::Optimizer$format()</code></a></span></li>
<li><span class="pkg-link" data-pkg="bbotk" data-topic="Optimizer" data-id="help"><a href='../../bbotk/html/Optimizer.html#method-Optimizer-help'><code>bbotk::Optimizer$help()</code></a></span></li>
<li><span class="pkg-link" data-pkg="bbotk" data-topic="Optimizer" data-id="initialize"><a href='../../bbotk/html/Optimizer.html#method-Optimizer-initialize'><code>bbotk::Optimizer$initialize()</code></a></span></li>
<li><span class="pkg-link" data-pkg="bbotk" data-topic="Optimizer" data-id="print"><a href='../../bbotk/html/Optimizer.html#method-Optimizer-print'><code>bbotk::Optimizer$print()</code></a></span></li>
</ul>
</details>

<hr>
<a id="method-OptimizerBatch-optimize"></a></p><div class='section' id='method-optimize-'>
<h3>Method <code><a href='https://rdrr.io/r/stats/optimize.html'>optimize()</a></code></h3>
<p>Performs the optimization and writes optimization result into OptimInstanceBatch.
The optimization result is returned but the complete optimization path is stored in ArchiveBatch of OptimInstanceBatch.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>OptimizerBatch$optimize(inst)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>inst</code></dt>
<dd><p>(OptimInstanceBatch).</p></dd>


</dl><p></div></p>
</div>
<div class='section' id='returns'>
<h4>Returns</h4>
<p><a href='https://rdrr.io/pkg/data.table/man/data.table.html'>data.table::data.table</a>.</p>
</div>

</div><p><hr>
<a id="method-OptimizerBatch-clone"></a></p><div class='section' id='method-clone-'>
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>OptimizerBatch$clone(deep = FALSE)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>deep</code></dt>
<dd><p>Whether to make a deep clone.</p></dd>


</dl><p></div></p>
</div>

</div>


OptimizerBatch: Batch Optimizer

Description

Arguments

Progress Bars

Super class

Methods

Public methods

Method `optimize()`

Usage

Arguments

Returns

Method `clone()`

Usage

Arguments

Description

Arguments

Progress Bars

Super class

Methods

Public methods

Method optimize()

Usage

Arguments

Returns

Method clone()

Usage

Arguments

Method `optimize()`

Method `clone()`