The 'mlr3' package family is a set of packages for machine-learning purposes built in a modular fashion. This wrapper package is aimed to simplify the installation and loading of the core 'mlr3' packages. Get more information about the 'mlr3' project at https://mlr3book.mlr-org.com/.
Learn mlr3
Book on mlr3: https://mlr3book.mlr-org.com
Use cases and examples gallery: https://mlr3gallery.mlr-org.com
Cheat Sheets: https://github.com/mlr-org/mlr3cheatsheets
Additional Extension Packages
The mlr3verse only installs the subset of packages which are on the one hand frequently required to perform a data analysis, and on the other hand do not pull in too many dependencies or system requirements.
Additional extension packages include:
Analysis of benchmark experiments: mlr3benchmark
Task interface for data bases: mlr3db
Additional learners: https://github.com/mlr-org/mlr3extralearners
Hyperband tuning algorithm: mlr3hyperband
Spatio-temporal resampling: mlr3spatiotempcv
Author
Maintainer: Marc Becker marcbecker@posteo.de (ORCID)
Authors:
Michel Lang michellang@gmail.com (ORCID)
Patrick Schratz patrick.schratz@gmail.com (ORCID)