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OpenML: Open Machine Learning and Open Data Platform

We provide an R interface to 'OpenML.org' which is an online machine learning platform where researchers can access open data, download and upload data sets, share their machine learning tasks and experiments and organize them online to work and collaborate with other researchers. The R interface allows to query for data sets with specific properties, and allows the downloading and uploading of data sets, tasks, flows and runs. See <https://www.openml.org/guide/api> for more information.

Version: 1.12
Depends: R (≥ 3.5.0)
Imports: backports (≥ 1.1.0), BBmisc (≥ 1.11), checkmate (≥ 1.8.2), data.table, digest, httr (≥ 1.4.1), stringi, XML, jsonlite, memoise (≥ 1.0.0), stats, curl (≥ 4.1)
Suggests: testthat (≥ 3.0.0), mlr (≥ 2.15), ParamHelpers (≥ 1.10), randomForest, rpart, RWeka, xml2, farff, knitr, rmarkdown, R.rsp, rex
Published: 2022-10-19
DOI: 10.32614/CRAN.package.OpenML
Author: Giuseppe Casalicchio, Bernd Bischl, Dominik Kirchhoff, Michel Lang, Benjamin Hofner, Jakob Bossek, Pascal Kerschke, Joaquin Vanschoren
Maintainer: Giuseppe Casalicchio <giuseppe.casalicchio at stat.uni-muenchen.de>
BugReports: https://github.com/openml/openml-r/issues
License: BSD_3_clause + file LICENSE
URL: https://github.com/openml/openml-r
NeedsCompilation: no
Citation: OpenML citation info
Materials: NEWS
In views: WebTechnologies
CRAN checks: OpenML results

Documentation:

Reference manual: OpenML.pdf
Vignettes: OpenML Tutorial
OpenML Cheatsheet

Downloads:

Package source: OpenML_1.12.tar.gz
Windows binaries: r-devel: OpenML_1.12.zip, r-release: OpenML_1.12.zip, r-oldrel: OpenML_1.12.zip
macOS binaries: r-release (arm64): OpenML_1.12.tgz, r-oldrel (arm64): OpenML_1.12.tgz, r-release (x86_64): OpenML_1.12.tgz, r-oldrel (x86_64): OpenML_1.12.tgz
Old sources: OpenML archive

Reverse dependencies:

Reverse suggests: farff

Linking:

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