Package website: release | dev
Meta-package for installing/loading core mlr3 packages.
Overview
This package is intended to simplify both installation and loading of packages from the mlr3 ecosystem.
Installation
# From CRAN: install.packages("mlr3verse") # From Github: remotes::install_github("mlr-org/mlr3verse")
Batteries included
The following packages are attached by this meta package:
| Name | Title | URL |
|---|---|---|
| mlr3 | Machine Learning in R - Next Generation | https://mlr3.mlr-org.com |
| mlr3filters | Filter Based Feature Selection for ‘mlr3’ | https://mlr3filters.mlr-org.com |
| mlr3learners | Recommended Learners for ‘mlr3’ | https://mlr3learners.mlr-org.com |
| mlr3pipelines | Preprocessing Operators and Pipelines for ‘mlr3’ | https://mlr3pipelines.mlr-org.com |
| mlr3tuning | Tuning for ‘mlr3’ | https://mlr3tuning.mlr-org.com |
| mlr3viz | Visualizations for ‘mlr3’ | https://mlr3viz.mlr-org.com |
| paradox | Define and Work with Parameter Spaces for Complex Algorithms | https://paradox.mlr-org.com |
By loading the mlr3verse package, you are all set to deal with most regression and classification tasks:
library("mlr3verse") #> 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():
mlr3verse_info() #> Package Version #> 1 mlr3 0.3.0 #> 2 mlr3tuning 0.1.2 #> 3 mlr3pipelines 0.1.3 #> 4 paradox 0.2.0 #> 5 mlr3filters 0.2.0 #> 6 mlr3db 0.1.5 #> 7 mlr3learners 0.2.0 #> 8 mlr3viz 0.1.1
More extension packages are available on CRAN/GitHub, and may be included in this meta package in the future.
