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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'))