transform_features_univariate

Given the decisions (dummy or linear) for each predictor,
 produce a transformed data frame. Dummy columns are 0/1 based on the
 cutoff.

internal

Implements 'SplitWise', a hybrid regression approach that transforms
numeric variables into either single-split (0/1) dummy variables or retains
them as continuous predictors. The transformation is followed by stepwise
selection to identify the most relevant variables. The default 'iterative'
mode adaptively explores partial synergies among variables to enhance model
performance, while an alternative 'univariate' mode applies simpler
transformations independently to each predictor. For details, see Kurbucz et al. (2025) <doi:10.48550/arXiv.2505.15423>.

Marcell T. Kurbucz

SplitWise

Hybrid Stepwise Regression with Single-Split Dummy Encoding

Nikolaos Tzivanakis

Nilufer Sari Aslam

Adam M. Sykulski

transform_features_univariate function

<dl><dt>X</dt>
<dd>Original predictor data frame.</dd>
<dt>decisions</dt>
<dd>The list returned by <code>decide_variable_type_univariate</code>.</dd></dl>

Arguments

Transform Features (Univariate Logic) — transform_features_univariate

<dl>

<dt>X</dt>
<dd>Original predictor data frame.</dd>


<dt>decisions</dt>
<dd>The list returned by <code>decide_variable_type_univariate</code>.</dd>

</dl>

transform_features_univariate: Transform Features (Univariate Logic)

Description

Usage

Value

Arguments