mlr_optimizers_async_design_points

OptimizerAsyncDesignPoints

<p><code>OptimizerAsyncDesignPoints</code> class that implements optimization w.r.t. fixed design points.
We simply search over a set of points fully specified by the ser.</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

mlr_optimizers_async_design_points function

<p></p><p></p><p>This Optimizer can be instantiated via the dictionary
mlr_optimizers or with the associated sugar function <code>opt()</code>:</p>
<p><div class="sourceCode"></div></p><pre><code>mlr_optimizers$get("async_design_points")
opt("async_design_points")
</code></pre><p></p>

Dictionary

<p></p><p><dl>
<dt><code>design</code></dt>
<dd><p><a href="https://rdatatable.gitlab.io/data.table/reference/data.table.html">data.table::data.table</a><br>
Design points to try in search, one per row.</p></dd></dl></p><p>

</p>

Parameters

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

Super classes


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/OptimizerAsyncDesignPoints%24new()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::OptimizerAsyncDesignPoints$new()"><code>OptimizerAsyncDesignPoints$new()</code></a></p></li>
<li><p><a href="/link/OptimizerAsyncDesignPoints%24optimize()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::OptimizerAsyncDesignPoints$optimize()"><code>OptimizerAsyncDesignPoints$optimize()</code></a></p></li>
<li><p><a href="/link/OptimizerAsyncDesignPoints%24clone()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::OptimizerAsyncDesignPoints$clone()"><code>OptimizerAsyncDesignPoints$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="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-OptimizerAsyncDesignPoints-new"></a></p><div class="section" id="method-new-">
<h3>Method <code>new()</code></h3>
<p>Creates a new instance of this <a href="https://r6.r-lib.org/reference/R6Class.html">R6</a> class.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>OptimizerAsyncDesignPoints$new()</code></pre><p></p></div><p></p>
</div><p></p><p>
</p><p><hr>
<a id="method-OptimizerAsyncDesignPoints-optimize"></a></p><div class="section" id="method-optimize-">
<h3>Method <code><a href="/link/optimize()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::optimize()">optimize()</a></code></h3>
<p>Starts the asynchronous optimization.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>OptimizerAsyncDesignPoints$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>(OptimInstance).</p></dd></dl></div></p><p>
</p><p></p>

<div class="section" id="returns">
<h4>Returns</h4>
<p><a href="https://rdatatable.gitlab.io/data.table/reference/data.table.html">data.table::data.table</a>.</p>
</div><p></p><p></p><p><hr>
<a id="method-OptimizerAsyncDesignPoints-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>OptimizerAsyncDesignPoints$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

Asynchronous Optimization via Design Points — mlr_optimizers_async_design_points



<p>This Optimizer can be instantiated via the dictionary
mlr_optimizers or with the associated sugar function <code>opt()</code>:</p>
<p><div class="sourceCode"></p><pre><code>mlr_optimizers$get("async_design_points")
opt("async_design_points")
</code></pre><p></div></p>



<dl>
<dt><code>design</code></dt>
<dd><p><a href='https://rdatatable.gitlab.io/data.table/reference/data.table.html'>data.table::data.table</a><br />
Design points to try in search, one per row.</p></dd>


</dl>



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

<ul>
<li><p><a href='#method-OptimizerAsyncDesignPoints-new'><code>OptimizerAsyncDesignPoints$new()</code></a></p></li>
<li><p><a href='#method-OptimizerAsyncDesignPoints-optimize'><code>OptimizerAsyncDesignPoints$optimize()</code></a></p></li>
<li><p><a href='#method-OptimizerAsyncDesignPoints-clone'><code>OptimizerAsyncDesignPoints$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="print"><a href='../../bbotk/html/Optimizer.html#method-Optimizer-print'><code>bbotk::Optimizer$print()</code></a></span></li>
</ul>
</details>

<hr>
<a id="method-OptimizerAsyncDesignPoints-new"></a></p><div class='section' id='method-new-'>
<h3>Method <code>new()</code></h3>
<p>Creates a new instance of this <a href='https://r6.r-lib.org/reference/R6Class.html'>R6</a> class.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>OptimizerAsyncDesignPoints$new()</code></pre><p></div></p>
</div>


</div><p><hr>
<a id="method-OptimizerAsyncDesignPoints-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>Starts the asynchronous optimization.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>OptimizerAsyncDesignPoints$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>(OptimInstance).</p></dd>


</dl><p></div></p>
</div>
<div class='section' id='returns'>
<h4>Returns</h4>
<p><a href='https://rdatatable.gitlab.io/data.table/reference/data.table.html'>data.table::data.table</a>.</p>
</div>

</div><p><hr>
<a id="method-OptimizerAsyncDesignPoints-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>OptimizerAsyncDesignPoints$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>


mlr_optimizers_async_design_points: Asynchronous Optimization via Design Points

Description

Arguments

Dictionary

Parameters

Super classes

Methods

Public methods

Method `new()`

Usage

Method `optimize()`

Usage

Arguments

Returns

Method `clone()`

Usage

Arguments

Description

Arguments

Dictionary

Parameters

Super classes

Methods

Public methods

Method new()

Usage

Method optimize()

Usage

Arguments

Returns

Method clone()

Usage

Arguments

Method `new()`

Method `optimize()`

Method `clone()`