Bernd Bischl <bernd_bischl@gmx.net>, Patrick Koch
<patrick.koch@fh-koeln.de>

Helpers for parameters in black-box optimization, tuning and
machine learning.
A small package containing useful functions for parameter
descriptions and operations in black-box optimization, tuning
and machine learning.
Bernd Bischl <bernd_bischl@gmx.net>, Patrick Koch
<patrick.koch@fh-koeln.de>, Michel Lang
<lang@statistik.tu-dortmund.de>
'aParam.R' 'convertDiscrete.R' 'convertParamSetToIrace.R'
'dfRowToList.R' 'filterParams.R' 'generateDesign.R'
'getBounds.R' 'getParamIds.R' 'getParamLengths.R'
'hasRequires.R' 'isFeasible.R' 'isMissingValue.R'
'LearnerParam.R' 'makeLearnerParamFuns.R' 'makeParamFuns.R'
'OptPathDF.R' 'OptPath.R' 'ParamSet.R' 'paramValueToString.R'
'removeMissingValues.R' 'sample.R' 'trafo.R' 'zzz.R'

Helpers for Parameters in Black-Box Optimization, Tuning and
Machine Learning
Functions for parameter descriptions and operations in black-box
optimization, tuning and machine learning. Parameters can be described
(type, constraints, defaults, etc.), combined to parameter sets and can in
general be programmed on. A useful OptPath object (archive) to log function
evaluations is also provided.
c(
person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role = c("aut", "cre")),
person("Michel", "Lang", email = "michellang@gmail.com", role = "aut"),
person("Jakob", "Bossek", email = "j.bossek@gmail.com", role = "aut"),
person("Daniel", "Horn", email = "daniel.horn@tu-dortmund.de", role = "aut"),
person("Karin", "Schork", email = "karin.schork@tu-dortmund.de", role = "ctb"),
person("Jakob", "Richter", email = "code@jakob-r.de", role = "aut"),
person("Pascal", "Kerschke", email = "kerschke@uni-muenster.de", role = "aut"))
BBmisc (>= 1.10), checkmate (>= 1.8.1), methods
akima, eaf, emoa, GGally, ggplot2, gridExtra, grid, irace (>=
2.1), lhs, plyr, reshape2, testthat
Bernd Bischl [aut, cre],
Michel Lang [aut],
Jakob Bossek [aut],
Daniel Horn [aut],
Karin Schork [ctb],
Jakob Richter [aut],
Pascal Kerschke [aut]