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mllrnrs\n\n\u003c!-- badges: start --\u003e\n[![](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)\n[![](https://www.r-pkg.org/badges/version/mllrnrs)](https://cran.r-project.org/package=mllrnrs)\n[![CRAN\nchecks](https://badges.cranchecks.info/worst/mllrnrs.svg)](https://cran.r-project.org/web/checks/check_results_mllrnrs.html)\n[![](http://cranlogs.r-pkg.org/badges/grand-total/mllrnrs?color=blue)](https://cran.r-project.org/package=mllrnrs)\n[![](http://cranlogs.r-pkg.org/badges/last-month/mllrnrs?color=blue)](https://cran.r-project.org/package=mllrnrs)\n[![Dependencies](https://tinyverse.netlify.app/badge/mllrnrs)](https://cran.r-project.org/package=mllrnrs)\n[![R build\nstatus](https://github.com/kapsner/mllrnrs/workflows/R%20CMD%20Check%20via%20%7Btic%7D/badge.svg)](https://github.com/kapsner/mllrnrs/actions)\n[![R build\nstatus](https://github.com/kapsner/mllrnrs/workflows/lint/badge.svg)](https://github.com/kapsner/mllrnrs/actions)\n[![R build\nstatus](https://github.com/kapsner/mllrnrs/workflows/test-coverage/badge.svg)](https://github.com/kapsner/mllrnrs/actions)\n[![](https://codecov.io/gh/https://github.com/kapsner/mllrnrs/branch/main/graph/badge.svg)](https://app.codecov.io/gh/https://github.com/kapsner/mllrnrs)\n\nThe `mllrnrs` R package ships with additional ML learners for\n[`mlexperiments`](https://github.com/kapsner/mlexperiments).\n\nCurrently implemented learners are:\n\n| Name | Based on | Description / Tasks |\n|----|----|----|\n| LearnerGlmnet | `glmnet::glmnet` | General interface to `glmnet` (examples available for families [`binomial`](tests/testthat/test-glmnet_binary.R) , [`multinomial`](tests/testthat/test-glmnet_multiclass.R), and [`regression`](tests/testthat/test-glmnet_regression.R) |\n| LearnerLightgbm | `lightgbm::lgb.train` | General interface to `lightgbm` (examples available for objectives [`binary`](tests/testthat/test-lightgbm_binary.R) , [`multiclass`](tests/testthat/test-lightgbm_multiclass.R), and [`regression`](tests/testthat/test-lightgbm_regression.R) |\n| LearnerRanger | `ranger::ranger` | General interface to `ranger` (examples available for tasks [`binary`](tests/testthat/test-ranger_binary.R) , [`multiclass`](tests/testthat/test-ranger_multiclass.R), and [`regression`](tests/testthat/test-ranger_regression.R) |\n| LearnerXgboost | `xgboost::xgb.train` | General interface to `xgboost` (examples available for objectives [`binary:logistic`](tests/testthat/test-xgboost_binary.R) , [`multi:softprob`](tests/testthat/test-xgboost_multiclass.R), and [`reg:squarederror`](tests/testthat/test-xgboost_regression.R) |\n\nFor a short introduction on how to use the learners together with the\n`mlexperiments` R package, please visit the [wiki\npage](https://github.com/kapsner/mllrnrs/wiki).\n\nSome learner for survival tasks are implemented in the\n[`mlsurvlrnrs`](https://github.com/kapsner/mlsurvlrnrs) R package.\n\n## Installation\n\n`mllrnrs` can be installed directly from CRAN:\n\n``` r\ninstall.packages(\"mllrnrs\")\n```\n\nTo install the development version, run\n\n``` r\ninstall.packages(\"remotes\")\nremotes::install_github(\"kapsner/mllrnrs\")\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkapsner%2Fmllrnrs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkapsner%2Fmllrnrs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkapsner%2Fmllrnrs/lists"}