default_measures

Gets the default measures using the information in mlr_reflections$default_measures:<ul>
<li><code>"classif.ce"</code> for classification (<code>"classif"</code>).</li>
<li><code>"regr.mse"</code> for regression (<code>"regr"</code>).</li>
<li>Add-on package may register additional default measures for their own task types.</li>
</ul>

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.

Marc Becker

mlr3

Machine Learning in R - Next Generation

Michel Lang

Bernd Bischl

Jakob Richter

Patrick Schratz

Giuseppe Casalicchio

Stefan Coors

Quay Au

Martin Binder

Florian Pfisterer

Raphael Sonabend

Lennart Schneider

Sebastian Fischer

Lona Koers

John Zobolas

default_measures function

<dl><dt>task_type</dt>
<dd>(<code>character(1)</code>) 
Get the default measure for the task type <code>task_type</code>, e.g., <code>"classif"</code> or <code>"regr"</code>.
If <code>task_type</code> is <code>NULL</code>, an empty list is returned.</dd></dl>

Arguments

Get the Default Measure — default_measures

<dl>

<dt>task_type</dt>
<dd>(<code>character(1)</code>) 
Get the default measure for the task type <code>task_type</code>, e.g., <code>"classif"</code> or <code>"regr"</code>.
If <code>task_type</code> is <code>NULL</code>, an empty list is returned.</dd>

</dl>

Get the Default Measure

default_measures: Get the Default Measure

Description

Usage

Value

Arguments

Examples