Connect R with MOA (Massive Online Analysis - <https://moa.cms.waikato.ac.nz/>) to build classification models and regression models on streaming data or out-of-RAM data. Also streaming recommendation models are made available.
| Version: | 1.1.0 |
| Depends: | RMOAjars (≥ 1.0), rJava (≥ 0.6-3), methods |
| Suggests: | ff, recommenderlab |
| Published: | 2022-07-17 |
| DOI: | 10.32614/CRAN.package.RMOA |
| Author: | Jan Wijffels [aut, cre], BNOSAC [cph] |
| Maintainer: | Jan Wijffels <jwijffels at bnosac.be> |
| License: | GPL-3 |
| Copyright: | Code is Copyright (C) Jan Wijffels and BNOSAC |
| URL: | http://www.bnosac.be, https://github.com/jwijffels/RMOA, https://moa.cms.waikato.ac.nz/ |
| NeedsCompilation: | no |
| SystemRequirements: | Java (>= 5.0) |
| Citation: | RMOA citation info |
| Materials: | NEWS |
| CRAN checks: | RMOA results |
| Reference manual: | RMOA.pdf |
| Vignettes: |
R interface to MOA for data stream mining |
| Package source: | RMOA_1.1.0.tar.gz |
| Windows binaries: | r-devel: RMOA_1.1.0.zip, r-release: RMOA_1.1.0.zip, r-oldrel: RMOA_1.1.0.zip |
| macOS binaries: | r-release (arm64): RMOA_1.1.0.tgz, r-oldrel (arm64): RMOA_1.1.0.tgz, r-release (x86_64): RMOA_1.1.0.tgz, r-oldrel (x86_64): RMOA_1.1.0.tgz |
| Old sources: | RMOA archive |
| Reverse suggests: | streamMOA |
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