mlr3fselect_assertions

assert_fselectors

assert_fselector_async

assert_fselector_batch

assert_fselect_instance

assert_fselect_instance_async

assert_fselect_instance_batch

Most assertion functions ensure the right class attribute, and optionally additional properties.

internal

Feature selection package of the 'mlr3' ecosystem. It selects
the optimal feature set for any 'mlr3' learner. The package works with
several optimization algorithms e.g. Random Search, Recursive Feature
Elimination, and Genetic Search. Moreover, it can automatically
optimize learners and estimate the performance of optimized feature
sets with nested resampling.

Marc Becker

mlr3fselect

Feature Selection for 'mlr3'

Patrick Schratz

Michel Lang

Bernd Bischl

John Zobolas

mlr3fselect_assertions function

<dl><dt>fselectors</dt>
<dd>(list of FSelector).</dd>
<dt>fselector</dt>
<dd>(FSelectorBatch).</dd>
<dt>inst</dt>
<dd>(FSelectInstanceBatchSingleCrit | FSelectInstanceBatchMultiCrit).</dd></dl>

Arguments

Assertion for mlr3fselect objects — mlr3fselect_assertions

<dl>

<dt>fselectors</dt>
<dd>(list of FSelector).</dd>


<dt>fselector</dt>
<dd>(FSelectorBatch).</dd>


<dt>inst</dt>
<dd>(FSelectInstanceBatchSingleCrit | FSelectInstanceBatchMultiCrit).</dd>

</dl>

Assertion for mlr3fselect objects

mlr3fselect_assertions: Assertion for mlr3fselect objects

Description

Usage

Arguments