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Meta-package for installing and using core mlr3 packages.

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This package is intended to simplify both installation and loading of packages from the mlr3 ecosystem. Instead of depending on the extension packages, functions required for data analysis are re-exported, providing a thin view on the most important functionality of the mlr3 ecosystem.


# From CRAN:

# From Github:

Batteries included

Functions and objects from The following packages are imported by this meta package:

Name Title URL
mlr3 Machine Learning in R - Next Generation
mlr3cluster Unsupervised Clustering
mlr3data Additional data sets and tasks
mlr3filters Filter Based Feature Selection
mlr3fselect Wrapper Based Feature Selection
mlr3learners Recommended Learners
mlr3pipelines Preprocessing Operators and Pipelines
mlr3proba Probalistic Regression and Survival Analysis
mlr3tuning Hyperparameter Tuning
mlr3viz Visualizations
paradox Parameter Spaces

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

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

#>           package    version
#>  1:         bbotk
#>  2:          mlr3     0.10.0
#>  3:   mlr3cluster      0.1.1
#>  4:      mlr3data      0.3.0
#>  5:   mlr3filters      0.4.0
#>  6:   mlr3fselect      0.4.1
#>  7:  mlr3learners      0.4.3
#>  8:      mlr3misc      0.7.0
#>  9: mlr3pipelines
#> 10:     mlr3proba      0.2.6
#> 11:    mlr3tuning
#> 12:       mlr3viz
#> 13:       paradox

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