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.

mlr3batchmark: Batch Experiments for 'mlr3'

Extends the 'mlr3' package with a connector to the package 'batchtools'. This allows to run large-scale benchmark experiments on scheduled high-performance computing clusters.

Version: 0.1.1
Depends: R (≥ 3.1.0), batchtools (≥ 0.9.17)
Imports: checkmate, data.table, lgr, mlr3 (≥ 0.17.0), mlr3misc, uuid
Suggests: rpart, testthat
Published: 2023-11-17
Author: Marc Becker ORCID iD [cre, aut], Michel Lang ORCID iD [aut]
Maintainer: Marc Becker <marcbecker at posteo.de>
BugReports: https://github.com/mlr-org/mlr3batchmark/issues
License: LGPL-3
URL: https:///mlr3batchmark.mlr-org.com, https://github.com/mlr-org/mlr3batchmark
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3batchmark results

Documentation:

Reference manual: mlr3batchmark.pdf

Downloads:

Package source: mlr3batchmark_0.1.1.tar.gz
Windows binaries: r-devel: mlr3batchmark_0.1.1.zip, r-release: mlr3batchmark_0.1.1.zip, r-oldrel: mlr3batchmark_0.1.1.zip
macOS binaries: r-release (arm64): mlr3batchmark_0.1.1.tgz, r-oldrel (arm64): mlr3batchmark_0.1.1.tgz, r-release (x86_64): mlr3batchmark_0.1.1.tgz, r-oldrel (x86_64): mlr3batchmark_0.1.1.tgz
Old sources: mlr3batchmark archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlr3batchmark 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.