{"id":18520164,"url":"https://github.com/mlr-org/mlr3verse","last_synced_at":"2026-03-07T12:02:27.460Z","repository":{"id":38277809,"uuid":"190392230","full_name":"mlr-org/mlr3verse","owner":"mlr-org","description":"Meta-package for installing/updating mlr3* packages.","archived":false,"fork":false,"pushed_at":"2025-01-15T08:24:40.000Z","size":3329,"stargazers_count":63,"open_issues_count":3,"forks_count":6,"subscribers_count":6,"default_branch":"main","last_synced_at":"2026-03-04T13:14:58.869Z","etag":null,"topics":["cran","machine-learning","meta","mlr3","r","r-package"],"latest_commit_sha":null,"homepage":"https://mlr3verse.mlr-org.com","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"lgpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mlr-org.png","metadata":{"funding":{"github":"mlr-org"},"files":{"readme":"README.Rmd","changelog":"NEWS.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-06-05T12:40:50.000Z","updated_at":"2025-12-25T05:31:13.000Z","dependencies_parsed_at":"2024-06-29T14:40:28.297Z","dependency_job_id":"e4ed76e0-fef3-402a-8fc7-0fded3d6878f","html_url":"https://github.com/mlr-org/mlr3verse","commit_stats":{"total_commits":198,"total_committers":4,"mean_commits":49.5,"dds":"0.38888888888888884","last_synced_commit":"2220087ab64ef2d2d53c870f0848ed51ee924d9f"},"previous_names":[],"tags_count":15,"template":false,"template_full_name":null,"purl":"pkg:github/mlr-org/mlr3verse","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlr-org%2Fmlr3verse","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlr-org%2Fmlr3verse/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlr-org%2Fmlr3verse/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlr-org%2Fmlr3verse/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mlr-org","download_url":"https://codeload.github.com/mlr-org/mlr3verse/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlr-org%2Fmlr3verse/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30212485,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-07T09:02:10.694Z","status":"ssl_error","status_checked_at":"2026-03-07T09:02:08.429Z","response_time":53,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cran","machine-learning","meta","mlr3","r","r-package"],"created_at":"2024-11-06T17:18:49.425Z","updated_at":"2026-03-07T12:02:22.437Z","avatar_url":"https://github.com/mlr-org.png","language":"R","funding_links":["https://github.com/sponsors/mlr-org"],"categories":[],"sub_categories":[],"readme":"---\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\nPackage website: [release](https://mlr3verse.mlr-org.com/) | [dev](https://mlr3verse.mlr-org.com/dev/)\n\nMeta-package for installing and using core [mlr3 packages](https://github.com/mlr-org/mlr3/wiki/Extension-Packages).\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n# mlr3verse\n\n\u003c!-- badges: start --\u003e\n[![r-cmd-check](https://github.com/mlr-org/mlr3verse/actions/workflows/r-cmd-check.yml/badge.svg)](https://github.com/mlr-org/mlr3verse/actions/workflows/r-cmd-check.yml)\n[![CRAN Status](https://www.r-pkg.org/badges/version-ago/mlr3verse)](https://cran.r-project.org/package=mlr3verse)\n[![StackOverflow](https://img.shields.io/badge/stackoverflow-mlr3-orange.svg)](https://stackoverflow.com/questions/tagged/mlr3)\n[![Mattermost](https://img.shields.io/badge/chat-mattermost-orange.svg)](https://lmmisld-lmu-stats-slds.srv.mwn.de/mlr_invite/)\n\u003c!-- badges: end --\u003e\n\n## Overview\n\nThis package is intended to simplify both installation and loading of packages from the mlr3 ecosystem.\nInstead 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.\n\n## Installation\n\n``` r\n# From CRAN:\ninstall.packages(\"mlr3verse\")\n\n# From Github:\nremotes::install_github(\"mlr-org/mlr3verse\")\n```\n\n## Batteries included\n\nFunctions and objects from The following packages are imported by this meta package:\n\n| Name             | Title                                        | URL                                    |\n| :--------------- | :------------------------------------------- | :------------------------------------- |\n| mlr3             | Machine Learning in R - Next Generation      | \u003chttps://mlr3.mlr-org.com\u003e             |\n| mlr3cluster      | Unsupervised Clustering                      | \u003chttps://mlr3cluster.mlr-org.com\u003e      |\n| mlr3data         | Additional data sets and tasks               | \u003chttps://mlr3data.mlr-org.com\u003e         |\n| mlr3filters      | Filter Based Feature Selection               | \u003chttps://mlr3filters.mlr-org.com\u003e      |\n| mlr3fselect      | Wrapper Based Feature Selection              | \u003chttps://mlr3fselect.mlr-org.com\u003e      |\n| mlr3learners     | Recommended Learners                         | \u003chttps://mlr3learners.mlr-org.com\u003e     |\n| mlr3pipelines    | Preprocessing Operators and Pipelines        | \u003chttps://mlr3pipelines.mlr-org.com\u003e    |\n| mlr3tuning       | Hyperparameter Tuning                        | \u003chttps://mlr3tuning.mlr-org.com\u003e       |\n| mlr3tuningspaces | Collection of Hyperparameter Tuning Spaces   | \u003chttps://mlr3tuningspaces.mlr-org.com\u003e |\n| mlr3viz          | Visualizations                               | \u003chttps://mlr3viz.mlr-org.com\u003e          |\n| paradox          | Parameter Spaces                             | \u003chttps://paradox.mlr-org.com\u003e          |\n\nBy loading the `mlr3verse` package, you are all set to deal with most regression, classification, cluster and survival tasks:\n\n```{r}\nlibrary(\"mlr3verse\")\n```\n\nIf you want to get more detailed information about the loaded packages, you can call `mlr3verse_info()`:\n\n```{r, eval = FALSE}\nmlr3verse_info()\n```\n\nAdditional packages can be installed with\n\n```{r, eval = FALSE}\ninstall.packages(\"mlr3verse\", dependencies = TRUE)\n```\n\n| Name             | Title                                               | URL                                    |\n|:-----------------|:----------------------------------------------------|:---------------------------------------|\n| miesmuschel      | Mixed Integer Evolution Strategies                  |                                        |\n| mlr3batchmark    | Batch Experiments                                   | \u003chttps://mlr3batchmark.mlr-org.com\u003e    |\n| mlr3benchmark    | Analysis and Visualisation of Benchmark Experiments | \u003chttps://mlr3benchmark.mlr-org.com\u003e    |\n| mlr3db           | Database Backend                                    | \u003chttps://mlr3db.mlr-org.com\u003e           |\n| mlr3fairness     | Fairness Auditing and Debiasing                     | \u003chttps://mlr3fairness.mlr-org.com\u003e     |\n| mlr3fda          | Functional Data Analysis                            | \u003chttps://mlr3fda.mlr-org.com\u003e          |\n| mlr3oml          | OpenML Integration                                  | \u003chttps://mlr3oml.mlr-org.com\u003e          |\n| mlr3spatial      | Spatial Data Analysis                               | \u003chttps://mlr3spatial.mlr-org.com\u003e      |\n| mlr3spatiotempcv | Spatiotemporal Resampling Methods                   | \u003chttps://mlr3spatiotempcv.mlr-org.com\u003e |\n| mlr3summary      | Model and Learner Summaries                         |                                        |\n| mlr3torch        | Deep Learning                                       | \u003chttps://mlr3torch.mlr-org.com\u003e        |\n| rush             | Decentralized and Distributed Computing             | \u003chttps://rush.mlr-org.com\u003e             |\n\n\n\u003ca href=\"https://raw.githubusercontent.com/mlr-org/mlr3/master/man/figures/mlr3verse.svg?sanitize=true\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/mlr-org/mlr3/master/man/figures/mlr3verse.svg?sanitize=true\" /\u003e\u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlr-org%2Fmlr3verse","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmlr-org%2Fmlr3verse","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlr-org%2Fmlr3verse/lists"}