{"id":18520163,"url":"https://github.com/mlr-org/mlr3learners","last_synced_at":"2025-04-05T17:09:52.018Z","repository":{"id":39797993,"uuid":"151776074","full_name":"mlr-org/mlr3learners","owner":"mlr-org","description":"Recommended learners for 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mlr3learners\n\nPackage website: [release](https://mlr3learners.mlr-org.com/) | [dev](https://mlr3learners.mlr-org.com/dev/)\n\n\u003c!-- badges: start --\u003e\n\n[![r-cmd-check](https://github.com/mlr-org/mlr3learners/actions/workflows/r-cmd-check.yml/badge.svg)](https://github.com/mlr-org/mlr3learners/actions/workflows/r-cmd-check.yml)\n[![Parameter Check](https://github.com/mlr-org/mlr3learners/workflows/Parameter%20Check/badge.svg?branch=main)](https://github.com/mlr-org/mlr3learners/actions)\n[![CRAN Status](https://www.r-pkg.org/badges/version-ago/mlr3learners)](https://cran.r-project.org/package=mlr3learners)\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\n\u003c!-- badges: end --\u003e\n\nThis packages provides essential learners for [mlr3](https://mlr3.mlr-org.com), maintained by the mlr-org team.\nAdditional learners can be found in the [mlr3extralearners](https://github.com/mlr-org/mlr3extralearners) package on GitHub.\nRequest additional learners over there.\n\n:point_right: [Table of all learners](https://mlr-org.com/learners.html)\n\n## Installation\n\n```r\n# CRAN version:\ninstall.packages(\"mlr3learners\")\n\n# Development version:\nremotes::install_github(\"mlr-org/mlr3learners\")\n```\n\nIf you also want to install all packages of the connected learners, set `dependencies = TRUE`:\n\n```r\n# CRAN version:\ninstall.packages(\"mlr3learners\", dependencies = TRUE)\n\n# Development version:\nremotes::install_github(\"mlr-org/mlr3learners\", dependencies = TRUE)\n```\n\n## Classification Learners\n\n| ID                                                                                                      | Learner                       | Package                                               |\n| :------------------------------------------------------------------------------------------------------ | :---------------------------- | :---------------------------------------------------- |\n| [classif.cv_glmnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.cv_glmnet.html)     | Penalized Logistic Regression | [glmnet](https://cran.r-project.org/package=glmnet)   |\n| [classif.glmnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.glmnet.html)           | Penalized Logistic Regression | [glmnet](https://cran.r-project.org/package=glmnet)   |\n| [classif.kknn](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.kknn.html)               | k-Nearest Neighbors           | [kknn](https://cran.r-project.org/package=kknn)       |\n| [classif.lda](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.lda.html)                 | LDA                           | [MASS](https://cran.r-project.org/package=MASS)       |\n| [classif.log_reg](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.log_reg.html)         | Logistic Regression           | stats                                                 |\n| [classif.multinom](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.multinom.html)       | Multinomial log-linear model  | [nnet](https://cran.r-project.org/package=nnet)       |\n| [classif.naive_bayes](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.naive_bayes.html) | Naive Bayes                   | [e1071](https://cran.r-project.org/package=e1071)     |\n| [classif.nnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.nnet.html)               | Single Layer Neural Network   | [nnet](https://cran.r-project.org/package=nnet)       |\n| [classif.qda](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.qda.html)                 | QDA                           | [MASS](https://cran.r-project.org/package=MASS)       |\n| [classif.ranger](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.ranger.html)           | Random Forest                 | [ranger](https://cran.r-project.org/package=ranger)   |\n| [classif.svm](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.svm.html)                 | SVM                           | [e1071](https://cran.r-project.org/package=e1071)     |\n| [classif.xgboost](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.xgboost.html)         | Gradient Boosting             | [xgboost](https://cran.r-project.org/package=xgboost) |\n\n## Regression Learners\n\n| ID                                                                                            | Learner                     | Package                                                       |\n| :-------------------------------------------------------------------------------------------- | :-------------------------- | :------------------------------------------------------------ |\n| [regr.cv_glmnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.cv_glmnet.html) | Penalized Linear Regression | [glmnet](https://cran.r-project.org/package=glmnet)           |\n| [regr.glmnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.glmnet.html)       | Penalized Linear Regression | [glmnet](https://cran.r-project.org/package=glmnet)           |\n| [regr.kknn](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.kknn.html)           | k-Nearest Neighbors         | [kknn](https://cran.r-project.org/package=kknn)               |\n| [regr.km](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.km.html)               | Kriging                     | [DiceKriging](https://cran.r-project.org/package=DiceKriging) |\n| [regr.lm](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.lm.html)               | Linear Regression           | stats                                                         |\n| [regr.nnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.nnet.html)           | Single Layer Neural Network | nnet                                                          |\n| [regr.ranger](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.ranger.html)       | Random Forest               | [ranger](https://cran.r-project.org/package=ranger)           |\n| [regr.svm](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.svm.html)             | SVM                         | [e1071](https://cran.r-project.org/package=e1071)             |\n| [regr.xgboost](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.xgboost.html)     | Gradient Boosting           | [xgboost](https://cran.r-project.org/package=xgboost)         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