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: 0.1.2
Depends: R (≥ 3.1.0)
Imports: checkmate (≥ 1.9.4), data.table, lgr, mlr3 (≥ 0.1.4), mlr3misc (≥ 0.1.7), paradox, R6
Suggests: GenSA, mlr3pipelines, rpart, testthat
Published: 2020-01-31
Author: Michel Lang ORCID iD [cre, aut], Jakob Richter ORCID iD [aut], Bernd Bischl ORCID iD [aut], Daniel Schalk ORCID iD [aut]
Maintainer: Michel Lang <michellang at>
License: LGPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3tuning results


Reference manual: mlr3tuning.pdf
Package source: mlr3tuning_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: mlr3tuning_0.1.2.tgz, r-oldrel: mlr3tuning_0.1.2.tgz
Old sources: mlr3tuning archive

Reverse dependencies:

Reverse depends: mlr3verse
Reverse suggests: mlr3proba


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