GenericModelFit

<p>Template to create a <code><a href="https://recipes.tidymodels.org/reference/recipe.html">recipe</a></code> or
<code><a href="/link/formula?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::formula">formula</a></code> objects used in model training stage.</p>

misc

Provides a novel framework to able to automatically develop and deploy
an accurate Multiple Classifier System based on the feature-clustering
distribution achieved from an input dataset. 'D2MCS' was developed focused on
four main aspects: (i) the ability to determine an effective method to
evaluate the independence of features, (ii) the identification of the
optimal number of feature clusters, (iii) the training and tuning of ML
models and (iv) the execution of voting schemes to combine the outputs of
each classifier comprising the Multiple  Classifier System.

Miguel Ferreiro-D<c3><ad>az

D2MCS

Data Driving Multiple Classifier System

David Ruano-Ordás

Miguel Ferreiro-Díaz

José Ramón Méndez

University of Vigo 

GenericModelFit function


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/GenericModelFit%24new()?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::GenericModelFit$new()"><code>GenericModelFit$new()</code></a></p></li>
<li><p><a href="/link/GenericModelFit%24createFormula()?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::GenericModelFit$createFormula()"><code>GenericModelFit$createFormula()</code></a></p></li>
<li><p><a href="/link/GenericModelFit%24createRecipe()?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::GenericModelFit$createRecipe()"><code>GenericModelFit$createRecipe()</code></a></p></li>
<li><p><a href="/link/GenericModelFit%24clone()?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::GenericModelFit$clone()"><code>GenericModelFit$clone()</code></a></p></li>
</ul></p><p></p></div><p><hr>
<a id="method-GenericModelFit-new"></a></p><div class="section" id="method-new-">
<h3>Method <code>new()</code></h3>
<p>Method for initializing the object arguments during runtime.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>GenericModelFit$new()</code></pre><p></p></div><p></p>
</div><p></p><p>
</p><p><hr>
<a id="method-GenericModelFit-createFormula"></a></p><div class="section" id="method-createformula-">
<h3>Method <code>createFormula()</code></h3>
<p>The function is responsible of creating a
<code><a href="/link/formula?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::formula">formula</a></code> for M.L. model.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>GenericModelFit$createFormula(instances, class.name, simplify = TRUE)</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>instances</code></dt>
<dd><p>A <a href="/link/data.frame?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::data.frame">data.frame</a> containing the instances used to
create the recipe.</p></dd></dl></div></p><p>
<dt><code>class.name</code></dt>
<dd><p>A <a href="/link/character?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::character">character</a> vector representing the name of the
target class.</p></dd></p><p>
<dt><code>simplify</code></dt>
<dd><p>A <a href="/link/logical?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::logical">logical</a> argument defining whether the formula
should be generated as simple as possible.</p></dd></p><p>
</p><p></p>

<div class="section" id="returns">
<h4>Returns</h4>
<p>A <code><a href="/link/formula?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::formula">formula</a></code> object.</p>
</div><p></p><p></p><p><hr>
<a id="method-GenericModelFit-createRecipe"></a></p><div class="section" id="method-createrecipe-">
<h3>Method <code>createRecipe()</code></h3>
<p>The function is responsible of creating a
<code><a href="https://recipes.tidymodels.org/reference/recipe.html">recipe</a></code> for M.L. model.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>GenericModelFit$createRecipe(instances, class.name)</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>instances</code></dt>
<dd><p>A <a href="/link/data.frame?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::data.frame">data.frame</a> containing the instances used to
create the recipe.</p></dd></dl></div></p><p>
<dt><code>class.name</code></dt>
<dd><p>A <a href="/link/character?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::character">character</a> vector representing the name of the
target class.</p></dd></p><p>
</p><p></p>

<div class="section" id="returns">
<h4>Returns</h4>
<p>A object of class <code><a href="https://recipes.tidymodels.org/reference/recipe.html">recipe</a></code>.</p>
</div><p></p><p></p><p><hr>
<a id="method-GenericModelFit-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>GenericModelFit$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

<p>Template to create a <code><a href='https://recipes.tidymodels.org/reference/recipe.html'>recipe</a></code> or
<code><a href='https://rdrr.io/r/stats/formula.html'>formula</a></code> objects used in model training stage.</p>

Abstract class for defining model fitting method. — GenericModelFit


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

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

</div><p><hr>
<a id="method-GenericModelFit-new"></a></p><div class='section' id='method-new-'>
<h3>Method <code>new()</code></h3>
<p>Method for initializing the object arguments during runtime.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>GenericModelFit$new()</code></pre><p></div></p>
</div>


</div><p><hr>
<a id="method-GenericModelFit-createFormula"></a></p><div class='section' id='method-createformula-'>
<h3>Method <code>createFormula()</code></h3>
<p>The function is responsible of creating a
<code><a href='https://rdrr.io/r/stats/formula.html'>formula</a></code> for M.L. model.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>GenericModelFit$createFormula(instances, class.name, simplify = TRUE)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>instances</code></dt>
<dd><p>A <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> containing the instances used to
create the recipe.</p></dd>


<dt><code>class.name</code></dt>
<dd><p>A <a href='https://rdrr.io/r/base/character.html'>character</a> vector representing the name of the
target class.</p></dd>


<dt><code>simplify</code></dt>
<dd><p>A <a href='https://rdrr.io/r/base/logical.html'>logical</a> argument defining whether the formula
should be generated as simple as possible.</p></dd>


</dl><p></div></p>
</div>
<div class='section' id='returns'>
<h4>Returns</h4>
<p>A <code><a href='https://rdrr.io/r/stats/formula.html'>formula</a></code> object.</p>
</div>

</div><p><hr>
<a id="method-GenericModelFit-createRecipe"></a></p><div class='section' id='method-createrecipe-'>
<h3>Method <code>createRecipe()</code></h3>
<p>The function is responsible of creating a
<code><a href='https://recipes.tidymodels.org/reference/recipe.html'>recipe</a></code> for M.L. model.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>GenericModelFit$createRecipe(instances, class.name)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>instances</code></dt>
<dd><p>A <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> containing the instances used to
create the recipe.</p></dd>


<dt><code>class.name</code></dt>
<dd><p>A <a href='https://rdrr.io/r/base/character.html'>character</a> vector representing the name of the
target class.</p></dd>


</dl><p></div></p>
</div>
<div class='section' id='returns'>
<h4>Returns</h4>
<p>A object of class <code><a href='https://recipes.tidymodels.org/reference/recipe.html'>recipe</a></code>.</p>
</div>

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


GenericModelFit: Abstract class for defining model fitting method.

Description

Arguments

Methods

Public methods

Method `new()`

Usage

Method `createFormula()`

Usage

Arguments

Returns

Method `createRecipe()`

Usage

Arguments

Returns

Method `clone()`

Usage

Arguments

See Also

Description

Arguments

Methods

Public methods

Method new()

Usage

Method createFormula()

Usage

Arguments

Returns

Method createRecipe()

Usage

Arguments

Returns

Method clone()

Usage

Arguments

See Also

Method `new()`

Method `createFormula()`

Method `createRecipe()`

Method `clone()`