cv_split

Splits row indices of a data frame or matrix into <code>k</code> folds for cross-validation.

Provides a lightweight framework for model selection
and hyperparameter tuning in R. The package offers intuitive tools for
grid search, cross-validation, and combined grid search with cross-validation
that work seamlessly with virtually any modeling package. Designed for
flexibility and ease of use, it standardizes tuning workflows while
remaining fully compatible with a wide range of model interfaces and
estimation functions.

Daniel Molitor

modeltuning

Model Selection and Tuning Utilities

cv_split function

<dl><dt>data</dt>
<dd>A data frame or matrix.</dd>
<dt>v</dt>
<dd>Integer. Number of folds. Defaults to 5.</dd>
<dt>seed</dt>
<dd>Optional integer. Random seed for reproducibility.</dd></dl>

Arguments

Generate cross-validation fold indices — cv_split

<dl>

<dt>data</dt>
<dd>A data frame or matrix.</dd>


<dt>v</dt>
<dd>Integer. Number of folds. Defaults to 5.</dd>


<dt>seed</dt>
<dd>Optional integer. Random seed for reproducibility.</dd>

</dl>

cv_split: Generate cross-validation fold indices

Description

Usage

Value

Arguments

Examples