TunerFromOptimizer

<p>Internally used to transform bbotk::Optimizer to Tuner.</p>

internal

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

mlr3tuning

Hyperparameter Optimization for 'mlr3'

Michel Lang

Jakob Richter

Bernd Bischl

Daniel Schalk

TunerFromOptimizer function

<p><code>mlr3tuning::Tuner</code> -&gt; <code>TunerFromOptimizer</code></p>

Super class


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/TunerFromOptimizer%24new()?package=mlr3tuning&version=0.20.0" data-mini-rdoc="mlr3tuning::TunerFromOptimizer$new()"><code>TunerFromOptimizer$new()</code></a></p></li>
<li><p><a href="/link/TunerFromOptimizer%24optimize()?package=mlr3tuning&version=0.20.0" data-mini-rdoc="mlr3tuning::TunerFromOptimizer$optimize()"><code>TunerFromOptimizer$optimize()</code></a></p></li>
<li><p><a href="/link/TunerFromOptimizer%24clone()?package=mlr3tuning&version=0.20.0" data-mini-rdoc="mlr3tuning::TunerFromOptimizer$clone()"><code>TunerFromOptimizer$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="mlr3tuning" data-topic="Tuner" data-id="format"><a href="/link/mlr3tuning%3A%3ATuner%24format()?package=mlr3tuning&version=0.20.0" data-mini-rdoc="mlr3tuning::mlr3tuning::Tuner$format()"><code>mlr3tuning::Tuner$format()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3tuning" data-topic="Tuner" data-id="help"><a href="/link/mlr3tuning%3A%3ATuner%24help()?package=mlr3tuning&version=0.20.0" data-mini-rdoc="mlr3tuning::mlr3tuning::Tuner$help()"><code>mlr3tuning::Tuner$help()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3tuning" data-topic="Tuner" data-id="print"><a href="/link/mlr3tuning%3A%3ATuner%24print()?package=mlr3tuning&version=0.20.0" data-mini-rdoc="mlr3tuning::mlr3tuning::Tuner$print()"><code>mlr3tuning::Tuner$print()</code></a></span></li>
</ul>
</details></p><p><hr>
<a id="method-TunerFromOptimizer-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>TunerFromOptimizer$new(optimizer, man = NA_character_)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>optimizer</code></dt>
<dd><p>bbotk::Optimizer<br>
Optimizer that is called.</p></dd></dl></div></p><p>
<dt><code>man</code></dt>
<dd><p>(<code>character(1)</code>)<br>
String in the format <code>[pkg]::[topic]</code> pointing to a manual page for this object.
The referenced help package can be opened via method <code>$help()</code>.</p></dd></p><p>
</p><p></p>
<p></p><p></p><p><hr>
<a id="method-TunerFromOptimizer-optimize"></a></p><div class="section" id="method-optimize-">
<h3>Method <code><a href="/link/optimize()?package=mlr3tuning&version=0.20.0" data-mini-rdoc="mlr3tuning::optimize()">optimize()</a></code></h3>
<p>Performs the tuning on a TuningInstanceSingleCrit /
TuningInstanceMultiCrit until termination. The single evaluations and
the final results will be written into the ArchiveTuning that
resides in the TuningInstanceSingleCrit/TuningInstanceMultiCrit.
The final result is returned.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>TunerFromOptimizer$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>(TuningInstanceSingleCrit | TuningInstanceMultiCrit).</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-TunerFromOptimizer-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>TunerFromOptimizer$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

TunerFromOptimizer — TunerFromOptimizer


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

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

</div><p><details open><summary>Inherited methods</summary>
<ul>
<li><span class="pkg-link" data-pkg="mlr3tuning" data-topic="Tuner" data-id="format"><a href='../../mlr3tuning/html/Tuner.html#method-Tuner-format'><code>mlr3tuning::Tuner$format()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3tuning" data-topic="Tuner" data-id="help"><a href='../../mlr3tuning/html/Tuner.html#method-Tuner-help'><code>mlr3tuning::Tuner$help()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3tuning" data-topic="Tuner" data-id="print"><a href='../../mlr3tuning/html/Tuner.html#method-Tuner-print'><code>mlr3tuning::Tuner$print()</code></a></span></li>
</ul>
</details>

<hr>
<a id="method-TunerFromOptimizer-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>TunerFromOptimizer$new(optimizer, man = NA_character_)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>optimizer</code></dt>
<dd><p>bbotk::Optimizer<br />
Optimizer that is called.</p></dd>


<dt><code>man</code></dt>
<dd><p>(<code>character(1)</code>)<br />
String in the format <code>[pkg]::[topic]</code> pointing to a manual page for this object.
The referenced help package can be opened via method <code>$help()</code>.</p></dd>


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

</div><p><hr>
<a id="method-TunerFromOptimizer-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 tuning on a TuningInstanceSingleCrit /
TuningInstanceMultiCrit until termination. The single evaluations and
the final results will be written into the ArchiveTuning that
resides in the TuningInstanceSingleCrit/TuningInstanceMultiCrit.
The final result is returned.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>TunerFromOptimizer$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>(TuningInstanceSingleCrit | TuningInstanceMultiCrit).</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-TunerFromOptimizer-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>TunerFromOptimizer$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>


TunerFromOptimizer: TunerFromOptimizer

Description

Arguments

Super class

Methods

Public methods

Method `new()`

Usage

Arguments

Method `optimize()`

Usage

Arguments

Returns

Method `clone()`

Usage

Arguments

Description

Arguments

Super class

Methods

Public methods

Method new()

Usage

Arguments

Method optimize()

Usage

Arguments

Returns

Method clone()

Usage

Arguments

Method `new()`

Method `optimize()`

Method `clone()`