mlr_measures_selected_features

MeasureSelectedFeatures

Measures the number of selected features by extracting it from learners with property <code>"selected_features"</code>.
If the learner does not support this, <code>NA</code> is returned.
This measure requires the <a rd-options="" href="/link/Task?package=mlr3&version=0.1.6" data-mini-rdoc="mlr3::Task">Task</a> and the <a rd-options="" href="/link/Learner?package=mlr3&version=0.1.6" data-mini-rdoc="mlr3::Learner">Learner</a> for scoring.

Efficient, object-oriented programming on the
building blocks of machine learning. Provides 'R6' objects for tasks,
learners, resamplings, and measures. The package is geared towards
scalability and larger datasets by supporting parallelization and
out-of-memory data-backends like databases. While 'mlr3' focuses on
the core computational operations, add-on packages provide additional
functionality.

Michel Lang

mlr3

Machine Learning in R - Next Generation

Bernd Bischl

Jakob Richter

Patrick Schratz

Giuseppe Casalicchio

Stefan Coors

Quay Au

Martin Binder

mlr_measures_selected_features function

<code><a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class()?package=mlr3&version=0.1.6&to=R6%3AR6Class" data-mini-rdoc="R6:R6Class::R6::R6Class()">R6::R6Class()</a></code> inheriting from <a rd-options="" href="/link/Measure?package=mlr3&version=0.1.6" data-mini-rdoc="mlr3::Measure">Measure</a>.

Format

<pre>MeasureSelectedFeatures$new(normalize = FALSE)
mlr_measures$get("selected_features")
msr("selected_features")
</pre>
<ul>
<li><code>normalize</code> :: <code>logical(1)</code>
If <code>normalize</code> is set to <code>TRUE</code>, divides the number of features by the total number of features.</li>
</ul>

Construction

<ul>
<li>Type: <code>NA</code></li>
<li>Range: $[0, \infty)$</li>
<li>Minimize: <code>TRUE</code></li>
<li>Required prediction: 'response'</li>
</ul>

Meta Information

Measures the number of selected features by extracting it from learners with property <code>"selected_features"</code>.
If the learner does not support this, <code>NA</code> is returned.
This measure requires the <a rd-options='' href='Task'>Task</a> and the <a rd-options='' href='Learner'>Learner</a> for scoring.

Selected Features Measure — mlr_measures_selected_features

<code><a rd-options='R6:R6Class' href='R6::R6Class()'>R6::R6Class()</a></code> inheriting from <a rd-options='' href='Measure'>Measure</a>.

mlr_measures_selected_features: Selected Features Measure

Description

Arguments

Format

Construction

Meta Information

See Also