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: 0.3.0
Depends: R (≥ 3.1.0)
Imports: bbotk (≥ 0.2.0), checkmate (≥ 2.0.0), data.table, lgr, mlr3, mlr3misc (≥ 0.5.0), paradox (≥ 0.3.0), R6
Suggests: bibtex, GenSA, mlr3pipelines, nloptr, rpart, testthat
Published: 2020-09-08
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 posteo.de>
BugReports: https://github.com/mlr-org/mlr3tuning/issues
License: LGPL-3
URL: https://mlr3tuning.mlr-org.com, https://github.com/mlr-org/mlr3tuning
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3tuning results

Downloads:

Reference manual: mlr3tuning.pdf
Package source: mlr3tuning_0.3.0.tar.gz
Windows binaries: r-devel: mlr3tuning_0.3.0.zip, r-release: mlr3tuning_0.3.0.zip, r-oldrel: mlr3tuning_0.3.0.zip
macOS binaries: r-release: mlr3tuning_0.3.0.tgz, r-oldrel: mlr3tuning_0.3.0.tgz
Old sources: mlr3tuning archive

Reverse dependencies:

Reverse depends: mlr3verse

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