Package: mlr3batchmark 0.1.1

Marc Becker

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.

Authors:Marc Becker [cre, aut], Michel Lang [aut]

mlr3batchmark_0.1.1.tar.gz
mlr3batchmark_0.1.1.zip(r-4.5)mlr3batchmark_0.1.1.zip(r-4.4)mlr3batchmark_0.1.1.zip(r-4.3)
mlr3batchmark_0.1.1.tgz(r-4.4-any)mlr3batchmark_0.1.1.tgz(r-4.3-any)
mlr3batchmark_0.1.1.tar.gz(r-4.5-noble)mlr3batchmark_0.1.1.tar.gz(r-4.4-noble)
mlr3batchmark_0.1.1.tgz(r-4.4-emscripten)mlr3batchmark_0.1.1.tgz(r-4.3-emscripten)
mlr3batchmark.pdf |mlr3batchmark.html✨
mlr3batchmark/json (API)
NEWS

# Install 'mlr3batchmark' in R:
install.packages('mlr3batchmark', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mlr-org/mlr3batchmark/issues

On CRAN:

batchtoolscluster-computinghigh-performance-computinghpcmlr3

5.09 score 5 stars 49 scripts 224 downloads 2 exports 38 dependencies

Last updated 1 years agofrom:b94ffbbc7f (on v0.1.1). Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-winNOTEOct 28 2024
R-4.5-linuxNOTEOct 28 2024
R-4.4-winOKOct 28 2024
R-4.4-macOKOct 28 2024
R-4.3-winOKOct 28 2024
R-4.3-macOKOct 28 2024

Exports:batchmarkreduceResultsBatchmark

Dependencies:backportsbase64urlbatchtoolsbrewcheckmateclicodetoolscrayondata.tabledigestevaluatefsfuturefuture.applyglobalsgluehmslgrlifecyclelistenvmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellypkgconfigprettyunitsprogressPRROCR6rappdirsrlangstringiuuidvctrswithr