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
DOI:	10.32614/CRAN.package.llama
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-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 dependencies:

Reverse imports:

aslib

Linking:

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