llama: Leveraging Learning to Automatically Manage Algorithms

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

Documentation:

Reference manual: llama.pdf

Downloads:

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-release (x86_64): llama_0.10.1.tgz, r-oldrel: llama_0.10.1.tgz
Old sources: llama archive

Reverse dependencies:

Reverse imports: aslib

Linking:

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