https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners. The package provides R6-based learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'lightgbm' <https://CRAN.R-project.org/package=lightgbm>. These can be used directly with the 'mlexperiments' R package.">

mllrnrs: R6-Based ML Learners for 'mlexperiments' (original) (raw)

Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners. The package provides R6-based learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'lightgbm' <https://CRAN.R-project.org/package=lightgbm>. These can be used directly with the 'mlexperiments' R package.

Version: 0.0.4
Depends: R (≥ 3.6)
Imports: data.table, kdry, mlexperiments, R6, stats
Suggests: glmnet, lightgbm (≥ 4.0.0), lintr, mlbench, mlr3measures, ParBayesianOptimization, quarto, ranger, splitTools, testthat (≥ 3.0.1), xgboost
Published: 2024-07-05
DOI: 10.32614/CRAN.package.mllrnrs
Author: Lorenz A. Kapsner ORCID iD [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner at gmail.com>
BugReports: https://github.com/kapsner/mllrnrs/issues
License: GPL (≥ 3)
URL: https://github.com/kapsner/mllrnrs
NeedsCompilation: no
SystemRequirements: Quarto command line tools (https://github.com/quarto-dev/quarto-cli).
CRAN checks: mllrnrs results

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