Package website: release | dev

Meta-package for installing/loading core mlr3 packages.


Build Status cran checks CRAN Status Badge codecov StackOverflow


This package is intended to simplify both installation and loading of packages from the mlr3 ecosystem.


# From CRAN:

# From Github:

Batteries included

The following packages are attached by this meta package:

Name Title URL
mlr3 Machine Learning in R - Next Generation
mlr3db Data Base Backend for ‘mlr3’
mlr3filters Filter Based Feature Selection for ‘mlr3’
mlr3learners Recommended Learners for ‘mlr3’
mlr3pipelines Preprocessing Operators and Pipelines for ‘mlr3’
mlr3tuning Tuning for ‘mlr3’
mlr3viz Visualizations for ‘mlr3’
paradox Define and Work with Parameter Spaces for Complex Algorithms

By loading the mlr3verse package, you are all set to deal with most regression and classification tasks:

#> Loading required package: mlr3
#> Loading required package: mlr3db
#> Loading required package: mlr3filters
#> Loading required package: mlr3learners
#> Loading required package: mlr3pipelines
#> Loading required package: mlr3tuning
#> Loading required package: mlr3viz
#> Loading required package: paradox

If you want to get more detailed information about the loaded packages, you can call mlr3verse_info():

#>         Package    Version
#> 1          mlr3      0.1.6
#> 2    mlr3tuning      0.1.1
#> 3 mlr3pipelines
#> 4       paradox
#> 5   mlr3filters
#> 6        mlr3db
#> 7  mlr3learners      0.1.5
#> 8       mlr3viz      0.1.0

More extension packages are available on CRAN/GitHub, and may be included in this meta package in the future.