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https://github.com/kapsner/mllrnrs

Learners for the `mlexperiments` R 📦
https://github.com/kapsner/mllrnrs

algorithms experiments glmnet learner lightgbm machine-learning r r-package ranger xgboost

Last synced: 2 months ago
JSON representation

Learners for the `mlexperiments` R 📦

Host: GitHub
URL: https://github.com/kapsner/mllrnrs
Owner: kapsner
License: gpl-3.0
Created: 2022-10-04T18:58:23.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2024-07-11T10:21:52.000Z (6 months ago)
Last Synced: 2024-10-27T13:55:28.582Z (3 months ago)
Topics: algorithms, experiments, glmnet, learner, lightgbm, machine-learning, r, r-package, ranger, xgboost
Language: R
Homepage: https://github.com/kapsner/mllrnrs/wiki
Size: 297 KB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE.md

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README

        

# mllrnrs

[![](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)

[![](https://www.r-pkg.org/badges/version/mllrnrs)](https://cran.r-project.org/package=mllrnrs)

[![CRAN

checks](https://badges.cranchecks.info/worst/mllrnrs.svg)](https://cran.r-project.org/web/checks/check_results_mllrnrs.html)

[![](http://cranlogs.r-pkg.org/badges/grand-total/mllrnrs?color=blue)](https://cran.r-project.org/package=mllrnrs)

[![](http://cranlogs.r-pkg.org/badges/last-month/mllrnrs?color=blue)](https://cran.r-project.org/package=mllrnrs)

[![Dependencies](https://tinyverse.netlify.app/badge/mllrnrs)](https://cran.r-project.org/package=mllrnrs)

[![R build

status](https://github.com/kapsner/mllrnrs/workflows/R%20CMD%20Check%20via%20%7Btic%7D/badge.svg)](https://github.com/kapsner/mllrnrs/actions)

[![R build

status](https://github.com/kapsner/mllrnrs/workflows/lint/badge.svg)](https://github.com/kapsner/mllrnrs/actions)

[![R build

status](https://github.com/kapsner/mllrnrs/workflows/test-coverage/badge.svg)](https://github.com/kapsner/mllrnrs/actions)

[![](https://codecov.io/gh/https://github.com/kapsner/mllrnrs/branch/main/graph/badge.svg)](https://codecov.io/gh/https://github.com/kapsner/mllrnrs)

The `mllrnrs` R package ships with additional ML learners for

[`mlexperiments`](https://github.com/kapsner/mlexperiments).

Currently implemented learners are:

| Name            | Based on              | Description / Tasks                                                                                                                                                                                                                                            |

|-----------------|-----------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|

| 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)                       |

| 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)                |

| 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)                             |

| 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) |

For a short introduction on how to use the learners together with the

`mlexperiments` R package, please visit the [wiki

page](https://github.com/kapsner/mllrnrs/wiki).

Some learner for survival tasks are implemented in the

[`mlsurvlrnrs`](https://github.com/kapsner/mlsurvlrnrs) R package.

## Installation

`mllrnrs` can be installed directly from CRAN:

``` r

install.packages("mllrnrs")

```

To install the development version, run

``` r

install.packages("remotes")

remotes::install_github("kapsner/mllrnrs")

```