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Meta-package for installing/loading core mlr3 packages.

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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.