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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 |
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 |
Reference manual: | farff.pdf |
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 suggests: | OpenML |
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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.
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