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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 BeckerORCID iD [cre, aut], Bernd BischlORCID iD [aut], Jakob Bossek [aut]
Maintainer:Marc Becker <marcbecker at posteo.de>
BugReports:https://github.com/mlr-org/farff/issues
License:BSD_2_clause + fileLICENSE
URL:https://github.com/mlr-org/farff
NeedsCompilation:yes
Materials:NEWS
CRAN checks:farff results

Documentation:

Reference manual:farff.html ,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 formhttps://CRAN.R-project.org/package=farffto link to this page.


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