mlr3tuningspaces: Search Spaces for 'mlr3'

Collection of search spaces for hyperparameter optimization in the 'mlr3' ecosystem. It features ready-to-use search spaces for many popular machine learning algorithms. The search spaces are from scientific articles and work for a wide range of data sets.

Version: 0.5.1
Depends: mlr3tuning (≥ 0.15.0), R (≥ 3.1.0)
Imports: checkmate (≥ 2.0.0), data.table (≥ 1.14.0), mlr3 (≥ 0.11.0), mlr3misc (≥ 0.11.0), paradox (≥ 0.7.1), R6 (≥ 2.5.0)
Suggests: e1071 (≥ 1.7-6), bbotk, glmnet (≥ 4.1-2), kknn (≥ 1.3.1), mlr3learners (≥ 0.4.5), ranger (≥ 0.12.1), rpart (≥ 4.1-15), testthat (≥ 3.0.0), xgboost (≥
Published: 2024-06-21
DOI: 10.32614/CRAN.package.mlr3tuningspaces
Author: Marc Becker ORCID iD [cre, aut], Michel Lang ORCID iD [ctb]
Maintainer: Marc Becker <marcbecker at>
License: LGPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3tuningspaces results


Reference manual: mlr3tuningspaces.pdf


Package source: mlr3tuningspaces_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlr3tuningspaces_0.5.1.tgz, r-oldrel (arm64): mlr3tuningspaces_0.5.1.tgz, r-release (x86_64): mlr3tuningspaces_0.5.1.tgz, r-oldrel (x86_64): mlr3tuningspaces_0.5.1.tgz
Old sources: mlr3tuningspaces archive

Reverse dependencies:

Reverse imports: mlr3verse


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