llama: Leveraging Learning to Automatically Manage Algorithms

Provides functionality to train and evaluate algorithm selection models for portfolios.

Version: 0.9.2
Depends: R (≥ 2.10), mlr (≥ 2.5)
Imports: rJava, parallelMap, ggplot2, checkmate, BBmisc, plyr
Suggests: testthat, ParamHelpers
Published: 2018-07-11
Author: Lars Kotthoff [aut,cre], Bernd Bischl [aut], Barry Hurley [ctb], Talal Rahwan [ctb]
Maintainer: Lars Kotthoff <larsko at cs.ubc.ca>
License: BSD_3_clause + file LICENSE
URL: https://bitbucket.org/lkotthoff/llama
NeedsCompilation: no
Materials: NEWS
CRAN checks: llama results

Downloads:

Reference manual: llama.pdf
Package source: llama_0.9.2.tar.gz
Windows binaries: r-devel: llama_0.9.2.zip, r-devel-gcc8: llama_0.9.2.zip, r-release: llama_0.9.2.zip, r-oldrel: llama_0.9.2.zip
OS X binaries: r-release: llama_0.9.2.tgz, r-oldrel: llama_0.9.2.tgz
Old sources: llama archive

Reverse dependencies:

Reverse imports: aslib

Linking:

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