mlr3tuning: Tuning for 'mlr3'

Implements methods for hyperparameter tuning with 'mlr3', e.g. Grid Search, Random Search, or Simulated Annealing. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'.

Version: 0.6.0
Depends: R (≥ 3.1.0)
Imports: bbotk (≥ 0.3.0), checkmate (≥ 2.0.0), data.table, lgr, mlr3 (≥ 0.7.0), mlr3misc (≥ 0.7.0), paradox (≥ 0.7.0), R6
Suggests: adagio, GenSA, mlr3pipelines, nloptr, rpart, testthat (≥ 3.0.0)
Published: 2021-01-24
Author: Marc Becker ORCID iD [cre, aut], Michel Lang ORCID iD [aut], Jakob Richter ORCID iD [aut], Bernd Bischl ORCID iD [aut], Daniel Schalk ORCID iD [aut]
Maintainer: Marc Becker <marcbecker at>
License: LGPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3tuning results


Reference manual: mlr3tuning.pdf
Package source: mlr3tuning_0.6.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: mlr3tuning_0.5.0.tgz, r-oldrel: mlr3tuning_0.5.0.tgz
Old sources: mlr3tuning archive

Reverse dependencies:

Reverse depends: mlr3verse
Reverse imports: DoubleML
Reverse suggests: mlr3spatiotempcv


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