doi:10.48550/arXiv.1502.07943>) and Hyperband (Li et al. 2018 <doi:10.48550/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.">

mlr3hyperband: Hyperband for 'mlr3' (original) (raw)

Successive Halving (Jamieson and Talwalkar (2016) <doi:10.48550/arXiv.1502.07943>) and Hyperband (Li et al. 2018 <doi:10.48550/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: 0.6.0
Depends: mlr3tuning (≥ 1.0.0), R (≥ 3.1.0)
Imports: bbotk (≥ 1.0.0), 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: 2024-06-29
DOI: 10.32614/CRAN.package.mlr3hyperband
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
BugReports: https://github.com/mlr-org/mlr3hyperband/issues
License: LGPL-3
URL: https://mlr3hyperband.mlr-org.com,https://github.com/mlr-org/mlr3hyperband
NeedsCompilation: no
Materials: NEWS
CRAN checks: mlr3hyperband results

Documentation:

Downloads:

Reverse dependencies:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=mlr3hyperbandto link to this page.