llama: Leveraging Learning to Automatically Manage Algorithms

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

Version: 0.7.1
Depends: R (≥ 2.10), mlr (≥ 2.1)
Imports: plyr, rJava, parallelMap
Suggests: FSelector, testthat, ParamHelpers
Published: 2014-08-13
Author: Lars Kotthoff [aut,cre], Bernd Bischl [aut], Barry Hurley [ctb], Talal Rahwan [ctb]
Maintainer: Lars Kotthoff <lars.kotthoff at insight-centre.org>
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_0.7.1.tar.gz
Windows binaries: r-devel: llama_0.7.1.zip, r-release: llama_0.7.1.zip, r-oldrel: llama_0.7.1.zip
OS X Snow Leopard binaries: r-release: llama_0.4.tgz, r-oldrel: llama_0.4.tgz
OS X Mavericks binaries: r-release: not available
Old sources: llama archive