The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 (≥ 1.4.1.1) |
Published: | 2024-06-21 |
DOI: | 10.32614/CRAN.package.mlr3tuningspaces |
Author: | Marc Becker |
Maintainer: | Marc Becker <marcbecker at posteo.de> |
BugReports: | https://github.com/mlr-org/mlr3tuningspaces/issues |
License: | LGPL-3 |
URL: | https://mlr3tuningspaces.mlr-org.com, https://github.com/mlr-org/mlr3tuningspaces |
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: mlr3tuningspaces_0.5.1.zip, r-release: mlr3tuningspaces_0.5.1.zip, r-oldrel: mlr3tuningspaces_0.5.1.zip |
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 imports: | mlr3verse |
Please use the canonical form https://CRAN.R-project.org/package=mlr3tuningspaces to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.