check_cat_feats

Check if any features are categorical

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_cat_feats function

<dl><dt>feats</dt>
<dd>features</dd></dl>

Arguments

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

Author

Check if any features are categorical — check_cat_feats

<dl>

<dt>feats</dt>
<dd>features</dd>

</dl>

Zena Lapp, <a href='mailto:zenalapp@umich.edu'>zenalapp@umich.edu</a>

check_cat_feats: Check if any features are categorical

Description

Usage

Arguments

Author

Examples