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DESCRIPTION
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DESCRIPTION
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Package: mlrMBO
Title: Bayesian Optimization and Model-Based Optimization of Expensive
Black-Box Functions
Version: 1.1.5-9000
Authors@R: c(
person("Bernd", "Bischl", , "[email protected]", role = "aut",
comment = c(ORCID = "0000-0001-6002-6980")),
person("Jakob", "Richter", , "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-4481-5554")),
person("Jakob", "Bossek", , "[email protected]", role = "aut",
comment = c(ORCID = "0000-0002-4121-4668")),
person("Daniel", "Horn", , "[email protected]", role = "aut"),
person("Michel", "Lang", , "[email protected]", role = "aut",
comment = c(ORCID = "0000-0001-9754-0393")),
person("Janek", "Thomas", , "[email protected]", role = "aut",
comment = c(ORCID = "0000-0003-4511-6245"))
)
Description: Flexible and comprehensive R toolbox for model-based
optimization ('MBO'), also known as Bayesian optimization. It
implements the Efficient Global Optimization Algorithm and 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.
License: BSD_2_clause + file LICENSE
URL: https://github.com/mlr-org/mlrMBO
BugReports: https://github.com/mlr-org/mlrMBO/issues
Depends:
mlr (>= 2.10),
ParamHelpers (>= 1.10),
smoof (>= 1.5.1)
Imports:
backports (>= 1.1.0),
BBmisc (>= 1.11),
checkmate (>= 1.8.2),
data.table,
lhs,
parallelMap (>= 1.3)
Suggests:
akima,
cmaesr (>= 1.0.3),
covr,
DiceKriging,
earth,
emoa,
GGally,
ggplot2,
gridExtra,
interp,
kernlab,
kknn,
knitr,
mco,
nnet,
party,
randomForest,
reshape2,
rgenoud,
rmarkdown,
rpart,
testthat
VignetteBuilder:
knitr
ByteCompile: yes
Encoding: UTF-8
RoxygenNote: 7.2.1