evaluateFS

evaluateMultiple

Evaluates a feature set under the UBayFS model framework.

The framework proposed in Jenul et al., (2022) <doi:10.1007/s10994-022-06221-9>, together with an interactive Shiny dashboard. 'UBayFS' is an ensemble feature selection technique embedded in a Bayesian statistical framework. The method combines data and user knowledge, where the first is extracted via data-driven ensemble feature selection. The user can control the feature selection by assigning prior weights to features and penalizing specific feature combinations. 'UBayFS' can be used for common feature selection as well as block feature selection.

Anna Jenul

UBayFS

A User-Guided Bayesian Framework for Ensemble Feature Selection

Stefan Schrunner

Kristian Hovde Liland

Oliver Tomic

Jürgen Pilz

evaluateFS function

<dl><dt>state</dt>
<dd>a binary membership vector describing a feature set</dd>
<dt>model</dt>
<dd>a `UBaymodel` object created using build.UBaymodel</dd>
<dt>method</dt>
<dd>type of correlation (`pearson`,`kendall`, or `spearman`)</dd>
<dt>log</dt>
<dd>whether the admissibility should be returned on log scale</dd></dl>

Arguments

<ul>
<li><code>evaluateMultiple()</code>: Evaluate multiple feature sets</li>
</ul>

Functions

Evaluate  a feature set — evaluateFS

<dl>

<dt>state</dt>
<dd>a binary membership vector describing a feature set</dd>


<dt>model</dt>
<dd>a `UBaymodel` object created using build.UBaymodel</dd>


<dt>method</dt>
<dd>type of correlation (`pearson`,`kendall`, or `spearman`)</dd>


<dt>log</dt>
<dd>whether the admissibility should be returned on log scale</dd>

</dl>

evaluateFS: Evaluate a feature set

Description

Usage

Value

Arguments

Functions