MeasureSelectedFeatures

mlr_measures_selected_features

Measures the number of selected features.

datasets

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

MeasureSelectedFeatures function

<code><a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class()?package=mlr3&version=0.1.2&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=0.1.2" 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

Selected Features Measure — MeasureSelectedFeatures

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

MeasureSelectedFeatures: Selected Features Measure

Description

Arguments

Format

Construction

See Also