mlr3hyperband: Hyperband for 'mlr3'

Implements hyperband method for hyperparameter tuning. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'. The hyperband algorithm was proposed by Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh and Ameet Talwalkar (2018) <arXiv:1603.06560>.

Version: 0.4.4
Depends: mlr3tuning (≥ 0.13.0), R (≥ 3.1.0)
Imports: bbotk (≥ 0.7.0), checkmate (≥ 1.9.4), data.table, lgr, mlr3 (≥ 0.13.1), mlr3misc (≥ 0.10.0), paradox (≥ 0.9.0), R6
Suggests: emoa, mlr3learners (≥ 0.5.2), mlr3pipelines, rpart, testthat (≥ 3.0.0), xgboost
Published: 2022-11-27
Author: Marc Becker ORCID iD [aut, cre], Sebastian Gruber ORCID iD [aut], Jakob Richter ORCID iD [aut], Julia Moosbauer ORCID iD [aut], Bernd Bischl ORCID iD [aut]
Maintainer: Marc Becker <marcbecker at>
License: LGPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: mlr3hyperband results


Reference manual: mlr3hyperband.pdf


Package source: mlr3hyperband_0.4.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlr3hyperband_0.4.4.tgz, r-oldrel (arm64): mlr3hyperband_0.4.4.tgz, r-release (x86_64): mlr3hyperband_0.4.4.tgz, r-oldrel (x86_64): mlr3hyperband_0.4.4.tgz
Old sources: mlr3hyperband archive

Reverse dependencies:

Reverse imports: mlr3verse


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