MLBase

<p>Basic R6 Class for the mlexperiments package</p>
<p>Basic R6 Class for the mlexperiments package</p>

Provides 'R6' objects to perform parallelized hyperparameter
optimization and cross-validation. Hyperparameter optimization can be
performed with Bayesian optimization (via 'ParBayesianOptimization'
<https://cran.r-project.org/package=ParBayesianOptimization>) and grid
search. The optimized hyperparameters can be validated using k-fold
cross-validation. Alternatively, hyperparameter optimization and
validation can be performed with nested cross-validation. While
'mlexperiments' focuses on core wrappers for machine learning
experiments, additional learner algorithms can be supplemented by
inheriting from the provided learner base class.

Lorenz A. Kapsner

mlexperiments

Machine Learning Experiments

MLBase function

<p><div class="r6-fields"></div></p><dl>
<dt><code>results</code></dt>
<dd><p>A list. This field is used to store the final results of
the respective methods.</p></dd><p></p><p>
</p></dl><p></p>

Public fields


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/MLBase%24new()?package=mlexperiments&version=0.0.5" data-mini-rdoc="mlexperiments::MLBase$new()"><code>MLBase$new()</code></a></p></li>
<li><p><a href="/link/MLBase%24clone()?package=mlexperiments&version=0.0.5" data-mini-rdoc="mlexperiments::MLBase$clone()"><code>MLBase$clone()</code></a></p></li>
</ul></p><p></p></div><p><hr>
<a id="method-MLBase-new"></a></p><div class="section" id="method-new-">
<h3>Method <code>new()</code></h3>
<p>Create a new <code>MLBase</code> object.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>MLBase$new(seed, ncores = -1L)</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>seed</code></dt>
<dd><p>An integer. Needs to be set for reproducibility purposes.</p></dd></dl></div></p><p>
<dt><code>ncores</code></dt>
<dd><p>An integer to specify the number of cores used for
parallelization (default: <code>-1L</code>).</p></dd></p><p>
</p><p></p>

<div class="section" id="returns">
<h4>Returns</h4>
<p>A new <code>MLBase</code> R6 object.</p>
</div><p></p><p></p><p><hr>
<a id="method-MLBase-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>MLBase$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

Basic R6 Class for the mlexperiments package — MLBase

<p><div class="r6-fields"></p><dl>
<dt><code>results</code></dt>
<dd><p>A list. This field is used to store the final results of
the respective methods.</p></dd>


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


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

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

</div><p><hr>
<a id="method-MLBase-new"></a></p><div class='section' id='method-new-'>
<h3>Method <code>new()</code></h3>
<p>Create a new <code>MLBase</code> object.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>MLBase$new(seed, ncores = -1L)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>seed</code></dt>
<dd><p>An integer. Needs to be set for reproducibility purposes.</p></dd>


<dt><code>ncores</code></dt>
<dd><p>An integer to specify the number of cores used for
parallelization (default: <code>-1L</code>).</p></dd>


</dl><p></div></p>
</div>
<div class='section' id='returns'>
<h4>Returns</h4>
<p>A new <code>MLBase</code> R6 object.</p>
</div>

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


MLBase: Basic R6 Class for the mlexperiments package

Description

Arguments

Public fields

Methods

Public methods

Method `new()`

Usage

Arguments

Returns

Method `clone()`

Usage

Arguments

Description

Arguments

Public fields

Methods

Public methods

Method new()

Usage

Arguments

Returns

Method clone()

Usage

Arguments

Method `new()`

Method `clone()`