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.

farff: A Faster 'ARFF' File Reader and Writer

Reads and writes 'ARFF' files. 'ARFF' (Attribute-Relation File Format) files are like 'CSV' files, with a little bit of added meta information in a header and standardized NA values. They are quite often used for machine learning data sets and were introduced for the 'WEKA' machine learning 'Java' toolbox. See <https://waikato.github.io/weka-wiki/formats_and_processing/arff_stable/> for further info on 'ARFF' and for <http://www.cs.waikato.ac.nz/ml/weka/> for more info on 'WEKA'. 'farff' gets rid of the 'Java' dependency that 'RWeka' enforces, and it is at least a faster reader (for bigger files). It uses 'readr' as parser back-end for the data section of the 'ARFF' file. Consistency with 'RWeka' is tested on 'Github' and 'Travis CI' with hundreds of 'ARFF' files from 'OpenML'.

Version: 1.1.1
Imports: BBmisc, checkmate (≥ 1.8.0), readr (≥ 1.0.0), stringi
Suggests: OpenML, testthat
Published: 2021-05-10
DOI: 10.32614/CRAN.package.farff
Author: Marc Becker ORCID iD [cre, aut], Bernd Bischl ORCID iD [aut], Jakob Bossek [aut]
Maintainer: Marc Becker <marcbecker at posteo.de>
BugReports: https://github.com/mlr-org/farff/issues
License: BSD_2_clause + file LICENSE
URL: https://github.com/mlr-org/farff
NeedsCompilation: yes
Materials: NEWS
CRAN checks: farff results

Documentation:

Reference manual: farff.pdf

Downloads:

Package source: farff_1.1.1.tar.gz
Windows binaries: r-devel: farff_1.1.1.zip, r-release: farff_1.1.1.zip, r-oldrel: farff_1.1.1.zip
macOS binaries: r-release (arm64): farff_1.1.1.tgz, r-oldrel (arm64): farff_1.1.1.tgz, r-release (x86_64): farff_1.1.1.tgz, r-oldrel (x86_64): farff_1.1.1.tgz
Old sources: farff archive

Reverse dependencies:

Reverse suggests: OpenML

Linking:

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