assert_resample_callback

assert_resample_callbacks

Assertions for CallbackResample class.

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

assert_resample_callback function

<dl><dt>callback</dt>
<dd>(CallbackResample).</dd>
<dt>null_ok</dt>
<dd>(<code>logical(1)</code>) 
If <code>TRUE</code>, <code>NULL</code> is allowed.</dd>
<dt>callbacks</dt>
<dd>(list of CallbackResample).</dd></dl>

Arguments

Assertions for Callbacks — assert_resample_callback

<dl>

<dt>callback</dt>
<dd>(CallbackResample).</dd>


<dt>null_ok</dt>
<dd>(<code>logical(1)</code>) 
If <code>TRUE</code>, <code>NULL</code> is allowed.</dd>


<dt>callbacks</dt>
<dd>(list of CallbackResample).</dd>

</dl>

Assertions for Callbacks

assert_resample_callback: Assertions for Callbacks

Description

Usage

Value

Arguments