build_train_set

Sample indices for training from the data.

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

build_train_set function

<dl><dt>y</dt>
<dd>a column, often the target, by which the data shall be partitioned.</dd>
<dt>tt_split</dt>
<dd>the percentage of data used for training in each ensemble model.</dd></dl>

Arguments

Perform stratified data partition. — build_train_set

<dl>

<dt>y</dt>
<dd>a column, often the target, by which the data shall be partitioned.</dd>


<dt>tt_split</dt>
<dd>the percentage of data used for training in each ensemble model.</dd>

</dl>

build_train_set: Perform stratified data partition.

Description

Usage

Value

Arguments