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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 [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 |
Package source: | mllrnrs_0.0.4.tar.gz |
Windows binaries: | r-devel: mllrnrs_0.0.4.zip, r-release: mllrnrs_0.0.4.zip, r-oldrel: mllrnrs_0.0.4.zip |
macOS binaries: | r-release (arm64): mllrnrs_0.0.4.tgz, r-oldrel (arm64): mllrnrs_0.0.4.tgz, r-release (x86_64): mllrnrs_0.0.4.tgz, r-oldrel (x86_64): mllrnrs_0.0.4.tgz |
Old sources: | mllrnrs archive |
Reverse imports: | mlsurvlrnrs |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.