Package: mlrintermbo
Title: Model-Based Optimization for 'mlr3' Through 'mlrMBO'
Description: The 'mlrMBO' package can ordinarily not be used for optimization within 'mlr3', because of
  incompatibilities of their respective class systems. 'mlrintermbo' offers a compatibility
  interface that provides 'mlrMBO' as an 'mlr3tuning' 'Tuner' object, for tuning of machine
  learning algorithms within 'mlr3', as well as a 'bbotk' 'Optimizer' object for optimization
  of general objective functions using the 'bbotk' black box optimization framework. The
  control parameters of 'mlrMBO' are faithfully reproduced as a 'paradox' 'ParamSet'.
Authors@R: c(
    person("Martin", "Binder", email = "developer.mb706@doublecaret.com", role = c("aut", "cre")))
URL: https://github.com/mb706/mlrintermbo
BugReports: https://github.com/mb706/mlrintermbo/issues
License: LGPL-3
Encoding: UTF-8
Imports: backports, checkmate, data.table, mlr3misc (>= 0.1.4),
        paradox, R6, lhs, callr, bbotk, mlr3tuning
Suggests: mlr, ParamHelpers, testthat, rgenoud, DiceKriging, emoa,
        cmaesr, randomForest, smoof, lgr, mlr3, mlr3learners,
        mlr3pipelines, mlrMBO, ranger, rpart
LazyData: yes
ByteCompile: yes
Version: 0.5.0
RoxygenNote: 7.1.1
Collate: 'utils.R' 'CapsuledMlr3Learner.R' 'ParamHelpersParamSet.R'
        'optimize.R' 'paramset.R' 'TunerInterMBO.R' 'surrogates.R'
        'zzz.R'
NeedsCompilation: no
Packaged: 2021-02-24 23:08:46 UTC; user
Author: Martin Binder [aut, cre]
Maintainer: Martin Binder <developer.mb706@doublecaret.com>
Repository: CRAN
Date/Publication: 2021-03-01 09:00:06 UTC
Built: R 4.0.2; ; 2021-03-04 12:38:20 UTC; unix
