Meta-package for installing and using core mlr3 packages.
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.
Functions and objects from The following packages are imported by this meta package:
|mlr3||Machine Learning in R - Next Generation||https://mlr3.mlr-org.com|
|mlr3data||Additional data sets and tasks||https://mlr3data.mlr-org.com|
|mlr3filters||Filter Based Feature Selection||https://mlr3filters.mlr-org.com|
|mlr3fselect||Wrapper Based Feature Selection||https://mlr3fselect.mlr--org.com|
|mlr3pipelines||Preprocessing Operators and Pipelines||https://mlr3pipelines.mlr-org.com|
|mlr3proba||Probalistic Regression and Survival Analysis||https://mlr3proba.mlr-org.com|
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 0.2.2.9000 #> 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 0.3.1.9000 #> 10: mlr3proba 0.2.6 #> 11: mlr3tuning 0.5.0.9000 #> 12: mlr3viz 0.5.0.9000 #> 13: paradox 0.6.0.9000
More extension packages are available on CRAN/GitHub, and may be included in this meta package in the future.