MeasureElapsedTime

mlr_measures_time_train

mlr_measures_time_predict

mlr_measures_time_both

Measures the elapsed time during train ("time_train"), predict ("time_predict"), or both ("time_both").

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

MeasureElapsedTime 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>MeasureElapsedTime$new(id, stages)mlr_measures$get("time_train")
mlr_measures$get("time_predict")
mlr_measures$get("time_both")msr$get("time_train")
msr$get("time_predict")
msr$get("time_both")
</pre>
<ul>
<li><code>id</code> :: <code>character(1)</code>
Id for the created measure.</li>
<li><code>stages</code> :: <code>character()</code>
Subset of <code>("train", "predict")</code>.
The runtime of all stages will be summed.</li>
</ul>

Construction

Elapsed Time Measure — MeasureElapsedTime

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

Elapsed Time Measure

MeasureElapsedTime: Elapsed Time Measure

Description

Arguments

Format

Construction

See Also