SchlossLab/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.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version1.2.0.9000
URL https://www.schlosslab.org/mikropml/ https://github.com/SchlossLab/mikropml
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("SchlossLab/mikropml")
SchlossLab/mikropml documentation built on Nov. 25, 2021, 1:13 p.m.