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# Copyright 2013-2018 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class RMlrmbo(RPackage):
"""Flexible and comprehensive R toolbox for model-based optimization
('MBO'), also known as Bayesian optimization. It is designed for both
single- and multi-objective optimization with mixed continuous,
categorical and conditional parameters. The machine learning toolbox
'mlr' provide dozens of regression learners to model the performance of
the target algorithm with respect to the parameter settings. It provides
many different infill criteria to guide the search process. Additional
features include multi-point batch proposal, parallel execution as well
as visualization and sophisticated logging mechanisms, which is
especially useful for teaching and understanding of algorithm behavior.
'mlrMBO' is implemented in a modular fashion, such that single
components can be easily replaced or adapted by the user for specific
use cases."""
homepage = "https://github.com/mlr-org/mlrMBO/"
url = "https://cran.r-project.org/src/contrib/mlrMBO_1.1.1.tar.gz"
list_url = "https://cran.r-project.org/src/contrib/Archive/mlrMBO"
version('1.1.1', '9a35b41ceb8754111af294dee0ae76e0')
version('1.1.0', '9e27ff8498225d24863b8da758d2918e')
depends_on('r-mlr@2.10:', type=('build', 'run'))
depends_on('r-paramhelpers@1.10:', type=('build', 'run'))
depends_on('r-smoof@1.5.1:', type=('build', 'run'))
depends_on('r-backports@1.1.0:', type=('build', 'run'))
depends_on('r-bbmisc@1.11:', type=('build', 'run'))
depends_on('r-checkmate@1.8.2:', type=('build', 'run'))
depends_on('r-data-table', type=('build', 'run'))
depends_on('r-lhs', type=('build', 'run'))
depends_on('r-parallelmap@1.3:', type=('build', 'run'))
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