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Meta-package for installing and using core mlr3 packages.

mlr3verse

Overview

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.

Installation

# From CRAN:
install.packages("mlr3verse")

# From Github:
remotes::install_github("mlr-org/mlr3verse")

Batteries included

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

NameTitleURL
mlr3Machine Learning in R - Next Generationhttps://mlr3.mlr-org.com
mlr3clusterUnsupervised Clusteringhttps://mlr3cluster.mlr-org.com
mlr3dataAdditional data sets and taskshttps://mlr3data.mlr-org.com
mlr3filtersFilter Based Feature Selectionhttps://mlr3filters.mlr-org.com
mlr3fselectWrapper Based Feature Selectionhttps://mlr3fselect.mlr-org.com
mlr3learnersRecommended Learnershttps://mlr3learners.mlr-org.com
mlr3pipelinesPreprocessing Operators and Pipelineshttps://mlr3pipelines.mlr-org.com
mlr3tuningHyperparameter Tuninghttps://mlr3tuning.mlr-org.com
mlr3tuningspacesCollection of Hyperparameter Tuning Spaceshttps://mlr3tuningspaces.mlr-org.com
mlr3vizVisualizationshttps://mlr3viz.mlr-org.com
paradoxParameter Spaceshttps://paradox.mlr-org.com

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

library("mlr3verse")
#> Loading required package: mlr3

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

mlr3verse_info()

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

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Install

install.packages('mlr3verse')

Monthly Downloads

2,318

Version

0.2.8

License

LGPL-3

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Last Published

April 26th, 2023

Functions in mlr3verse (0.2.8)