mikropml
User-Friendly R Package for Supervised Machine Learning Pipelines
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.
- Version1.6.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- mikropml citation info
- Last release08/21/2023
Documentation
Team
Kelly Sovacool
Patrick Schloss
Begüm Topçuoğlu
Zena Lapp
Evan Snitkin
Jenna Wiens
Nick Lesniak
Courtney Armour
Sarah Lucas
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- Imports10 packages
- Suggests16 packages