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: 0.1.1
Depends: R (≥ 3.1.0)
Imports: checkmate (≥ 1.9.4), data.table, lgr, mlr3 (≥ 0.1.4), mlr3misc (≥ 0.1.5), paradox, R6
Suggests: GenSA, rpart, testthat
Published: 2019-12-06
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 gmail.com>
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_0.1.1.tar.gz
Windows binaries: r-devel: mlr3tuning_0.1.0.zip, r-devel-gcc8: mlr3tuning_0.1.0.zip, r-release: mlr3tuning_0.1.1.zip, r-oldrel: mlr3tuning_0.1.1.zip
OS X binaries: r-release: mlr3tuning_0.1.1.tgz, r-oldrel: mlr3tuning_0.1.1.tgz
Old sources: mlr3tuning archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlr3tuning to link to this page.