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Package website: release | dev
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.
# From CRAN:
install.packages("mlr3verse")
# From Github:
remotes::install_github("mlr-org/mlr3verse")Functions and objects from The following packages are imported by this meta package:
| Name | Title | URL |
|---|---|---|
| mlr3 | Machine Learning in R - Next Generation | https://mlr3.mlr-org.com |
| mlr3cluster | Unsupervised Clustering | https://mlr3cluster.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 |
| mlr3learners | Recommended Learners | https://mlr3learners.mlr-org.com |
| mlr3pipelines | Preprocessing Operators and Pipelines | https://mlr3pipelines.mlr-org.com |
| mlr3tuning | Hyperparameter Tuning | https://mlr3tuning.mlr-org.com |
| mlr3tuningspaces | Collection of Hyperparameter Tuning Spaces | https://mlr3tuningspaces.mlr-org.com |
| mlr3viz | Visualizations | https://mlr3viz.mlr-org.com |
| paradox | Parameter Spaces | https://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: mlr3If 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.