task.add.permuted.cols

<code>[Task]</code> the input task.

task

<code>[integer(1)]</code> Number of noise features to add.

Adds <code>num</code> copies of the <code>task</code> with permuted rows.
The feature names of the <code>i</code>th permuted copy have <code>PERM.i.</code> prepended to them.
The returned task has a new member <code>$orig.features</code> which is a logical vector
indicating the features that were originally in the task.
If the <code>$orig.features</code> slot is already present in the input <code>task</code>, then the
output will have added <code>FALSE</code> entries at appropriate positions.

Performs simultaneous hyperparameter tuning and
feature selection through both single-objective and multi-objective
optimization as described in Binder, Moosbauer et al. (2019) <arXiv:1912.12912>.
Uses the 'ecr'-package as basis but adds mixed integer
evolutionary strategies and multi-fidelity functionality as well as operators
specific for the problem of feature selection.

Martin Binder

mosmafs

Multi-Objective Simultaneous Model and Feature Selection

Susanne Dandl

Julia Moosbauer

task.add.permuted.cols function

<dl><dt>task</dt>
<dd><code>[Task]</code> the input task.</dd>
<dt>num</dt>
<dd><code>[integer(1)]</code> Number of noise features to add.</dd></dl>

Arguments

Add Permuted Noise-Features to Task — task.add.permuted.cols

<dl>

<dt>task</dt>
<dd><code>[Task]</code> the input task.</dd>


<dt>num</dt>
<dd><code>[integer(1)]</code> Number of noise features to add.</dd>

</dl>

task.add.permuted.cols: Add Permuted Noise-Features to Task

Description

Usage

Value

Arguments

See Also