check_dataset

Errors if there are no rows or fewer than 2 columns.

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

Tuomas Borman

check_dataset function

<dl><dt>dataset</dt>
<dd>Data frame with an outcome variable and other columns as
features. Alternatively, the input can be in <code>TreeSummarizedExperiment</code>
format.</dd></dl>

Arguments

Kelly Sovacool, <a href="/link/sovacool%40umich.edu?package=mikropml&version=1.7.0" data-mini-rdoc="mikropml::sovacool@umich.edu">sovacool@umich.edu</a>

Author

Check that the dataset is not empty and has more than 1 column. — check_dataset

<dl>

<dt>dataset</dt>
<dd>Data frame with an outcome variable and other columns as
features. Alternatively, the input can be in <code>TreeSummarizedExperiment</code>
format.</dd>

</dl>

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

check_dataset: Check that the dataset is not empty and has more than 1 column.

Description

Usage

Arguments

Author

Examples