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Provides functionality to train and evaluate algorithm selection models for portfolios.
| Version: | 0.10.1 |
| Depends: | R (≥ 4.0), mlr (≥ 2.5) |
| Imports: | rJava, parallelMap, ggplot2, checkmate, BBmisc, plyr, data.table |
| Suggests: | testthat, ParamHelpers |
| Published: | 2021-03-16 |
| Author: | Lars Kotthoff [aut,cre], Bernd Bischl [aut], Barry Hurley [ctb], Talal Rahwan [ctb], Damir Pulatov [ctb] |
| Maintainer: | Lars Kotthoff <larsko at uwyo.edu> |
| License: | BSD_3_clause + file LICENSE |
| URL: | https://bitbucket.org/lkotthoff/llama |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | llama results |
| Reference manual: | llama.pdf |
| Package source: | llama_0.10.1.tar.gz |
| Windows binaries: | r-devel: llama_0.10.1.zip, r-release: llama_0.10.1.zip, r-oldrel: llama_0.10.1.zip |
| macOS binaries: | r-release (arm64): llama_0.10.1.tgz, r-oldrel (arm64): llama_0.10.1.tgz, r-release (x86_64): llama_0.10.1.tgz, r-oldrel (x86_64): llama_0.10.1.tgz |
| Old sources: | llama archive |
| Reverse imports: | aslib |
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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.
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