as_measure

as_measure.NULL

as_measure.Measure

as_measures

as_measures.default

as_measures.NULL

as_measures.list

Convert object to a Measure or a list of Measure.

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

as_measure function

<dl><dt>x</dt>
<dd>(any) 
Object to convert.</dd>
<dt>task_type</dt>
<dd>(<code>character(1)</code>) 
Used if <code>x</code> is <code>NULL</code> to construct a default measure for the respective task type.
The default measures are stored in <code>mlr_reflections$default_measures</code>.</dd>
<dt>clone</dt>
<dd>(<code>logical(1)</code>) 
If <code>TRUE</code>, ensures that the returned object is not the same as the input <code>x</code>.</dd>
<dt>...</dt>
<dd>(any) 
Additional arguments.</dd></dl>

Arguments

Convert to a Measure — as_measure

<dl>

<dt>x</dt>
<dd>(any) 
Object to convert.</dd>


<dt>task_type</dt>
<dd>(<code>character(1)</code>) 
Used if <code>x</code> is <code>NULL</code> to construct a default measure for the respective task type.
The default measures are stored in <code>mlr_reflections$default_measures</code>.</dd>


<dt>clone</dt>
<dd>(<code>logical(1)</code>) 
If <code>TRUE</code>, ensures that the returned object is not the same as the input <code>x</code>.</dd>


<dt>...</dt>
<dd>(any) 
Additional arguments.</dd>

</dl>

Convert to a Measure

as_measure: Convert to a Measure

Description

Usage

Value

Arguments