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: 0.1.0
Depends: R (≥ 3.1.0)
Imports: bbotk (≥ 0.2.0), checkmate (≥ 1.9.4), data.table, lgr, mlr3 (≥ 0.7.0), mlr3misc, mlr3tuning (≥ 0.2.0), paradox, R6
Suggests: emoa, mlr3learners, mlr3pipelines, rpart, testthat, xgboost
Published: 2020-10-26
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 posteo.de>
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

Downloads:

Reference manual: mlr3hyperband.pdf
Package source: mlr3hyperband_0.1.0.tar.gz
Windows binaries: r-devel: mlr3hyperband_0.1.0.zip, r-release: mlr3hyperband_0.1.0.zip, r-oldrel: mlr3hyperband_0.1.0.zip
macOS binaries: r-release: mlr3hyperband_0.1.0.tgz, r-oldrel: mlr3hyperband_0.1.0.tgz

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