check_kfold

Check that kfold is an integer of reasonable size

internal

An interface to build machine learning models for
classification and regression problems. 'mikropml' implements the ML
pipeline described by Topçuoğlu et al. (2020)
<doi:10.1128/mBio.00434-20> with reasonable default options for data
preprocessing, hyperparameter tuning, cross-validation, testing, model
evaluation, and interpretation steps. See the website
<https://www.schlosslab.org/mikropml/> for more information,
documentation, and examples.

Kelly Sovacool

mikropml

User-Friendly R Package for Supervised Machine Learning
Pipelines

Begüm Topçuoğlu

Zena Lapp

Evan Snitkin

Jenna Wiens

Patrick Schloss

Nick Lesniak

Courtney Armour

Sarah Lucas

check_kfold function

<dl><dt>kfold</dt>
<dd>Fold number for k-fold cross-validation (default: <code>5</code>).</dd>
<dt>dataset</dt>
<dd>Data frame with an outcome variable and other columns as features.</dd></dl>

Arguments

Kelly Sovacool, <a href="/link/sovacool%40umich.edu?package=mikropml&version=1.6.1" data-mini-rdoc="mikropml::sovacool@umich.edu">sovacool@umich.edu</a>

Author

Check that kfold is an integer of reasonable size — check_kfold

<dl>

<dt>kfold</dt>
<dd>Fold number for k-fold cross-validation (default: <code>5</code>).</dd>


<dt>dataset</dt>
<dd>Data frame with an outcome variable and other columns as features.</dd>

</dl>

Kelly Sovacool, <a href='mailto:sovacool@umich.edu'>sovacool@umich.edu</a>

check_kfold: Check that kfold is an integer of reasonable size

Description

Usage

Arguments

Author

Examples