mlr3hyperband: Hyperband for 'mlr3'

Successive Halving (Jamieson and Talwalkar (2016) <arXiv:1502.07943>) and Hyperband (Li et al. 2018 <arXiv:1603.06560>) optimization algorithm for the mlr3 ecosystem. The implementation in mlr3hyperband features improved scheduling and parallelizes the evaluation of configurations. The package includes tuners for hyperparameter optimization in mlr3tuning and optimizers for black-box optimization in bbotk.

Version: 0.4.5
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: 2023-03-02
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_0.4.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlr3hyperband_0.4.5.tgz, r-oldrel (arm64): mlr3hyperband_0.4.5.tgz, r-release (x86_64): mlr3hyperband_0.4.5.tgz, r-oldrel (x86_64): mlr3hyperband_0.4.5.tgz
Old sources: mlr3hyperband archive

Reverse dependencies:

Reverse imports: mlr3verse


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