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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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var/spack/repos/builtin/packages/r-mlrmbo/package.py
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@ -7,24 +7,26 @@
class RMlrmbo(RPackage): class RMlrmbo(RPackage):
"""Flexible and comprehensive R toolbox for model-based optimization """Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
('MBO'), also known as Bayesian optimization. It is designed for both
single- and multi-objective optimization with mixed continuous, Flexible and comprehensive R toolbox for model-based optimization ('MBO'),
categorical and conditional parameters. The machine learning toolbox also known as Bayesian optimization. It is designed for both single- and
'mlr' provide dozens of regression learners to model the performance of multi-objective optimization with mixed continuous, categorical and
the target algorithm with respect to the parameter settings. It provides conditional parameters. The machine learning toolbox 'mlr' provide dozens
many different infill criteria to guide the search process. Additional of regression learners to model the performance of the target algorithm
features include multi-point batch proposal, parallel execution as well with respect to the parameter settings. It provides many different infill
as visualization and sophisticated logging mechanisms, which is criteria to guide the search process. Additional features include
especially useful for teaching and understanding of algorithm behavior. multi-point batch proposal, parallel execution as well as visualization and
'mlrMBO' is implemented in a modular fashion, such that single sophisticated logging mechanisms, which is especially useful for teaching
components can be easily replaced or adapted by the user for specific and understanding of algorithm behavior. 'mlrMBO' is implemented in a
use cases.""" 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/" homepage = "https://github.com/mlr-org/mlrMBO/"
url = "https://cloud.r-project.org/src/contrib/mlrMBO_1.1.1.tar.gz" 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" list_url = "https://cloud.r-project.org/src/contrib/Archive/mlrMBO"
version('1.1.5', sha256='7ab9d108ad06f6c5c480fa4beca69e09ac89bb162ae6c85fe7d6d25c41f359b8')
version('1.1.2', sha256='8e84caaa5d5d443d7019128f88ebb212fb095870b3a128697c9b64fe988f3efe') version('1.1.2', sha256='8e84caaa5d5d443d7019128f88ebb212fb095870b3a128697c9b64fe988f3efe')
version('1.1.1', sha256='e87d9912a9b4a968364584205b8ef6f7fea0b5aa043c8d31331a7b7be02dd7e4') version('1.1.1', sha256='e87d9912a9b4a968364584205b8ef6f7fea0b5aa043c8d31331a7b7be02dd7e4')
version('1.1.0', sha256='6ae82731a566333f06085ea2ce23ff2a1007029db46eea57d06194850350a8a0') version('1.1.0', sha256='6ae82731a566333f06085ea2ce23ff2a1007029db46eea57d06194850350a8a0')