otu_mini_cv

<p>Cross validation on <code>train_data_mini</code> with grouped features.</p>

datasets

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

otu_mini_cv function

<p>An object of class <code>list</code> of length 27.</p>

Format

Cross validation on train_data_mini with grouped features. — otu_mini_cv

Cross validation on <code>train_data_mini</code> with grouped features.

otu_mini_cv: Cross validation on `train_data_mini` with grouped features.

Description

Usage

Arguments

Format