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add version 1.1.5 to r-mlrmbo (#21102)

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Glenn Johnson 2021-01-17 11:15:45 -06:00 committed by GitHub
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1 changed files with 15 additions and 13 deletions
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var/spack/repos/builtin/packages/r-mlrmbo/package.py
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@ -7,24 +7,26 @@
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."""
"""Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
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://cloud.r-project.org/src/contrib/mlrMBO_1.1.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/mlrMBO"
version('1.1.5', sha256='7ab9d108ad06f6c5c480fa4beca69e09ac89bb162ae6c85fe7d6d25c41f359b8')
version('1.1.2', sha256='8e84caaa5d5d443d7019128f88ebb212fb095870b3a128697c9b64fe988f3efe')
version('1.1.1', sha256='e87d9912a9b4a968364584205b8ef6f7fea0b5aa043c8d31331a7b7be02dd7e4')
version('1.1.0', sha256='6ae82731a566333f06085ea2ce23ff2a1007029db46eea57d06194850350a8a0')