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
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

Downloads:

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

Reverse dependencies:

Reverse suggests: mlr3oml, OpenML, SPOT

Linking:

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