An R interface to Weka (Version 3.9.3). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <https://www.cs.waikato.ac.nz/ml/weka/>.
Version: 0.4-46 Depends: R (≥ 2.6.0) Imports: RWekajars (≥ 3.9.3-1), rJava (≥ 0.6-3), graphics, stats, utils, grid Suggests: partykit (≥ 0.8.0), mlbench, e1071 Published: 2023-03-07 DOI: 10.32614/CRAN.package.RWeka Author: Kurt Hornik [aut, cre], Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb] Maintainer: Kurt Hornik <Kurt.Hornik at R-project.org> License: GPL-2 NeedsCompilation: no SystemRequirements: Java (>= 8) Citation: RWeka citation info Materials: ChangeLog In views: MachineLearning, NaturalLanguageProcessing CRAN checks: RWeka results Documentation: Downloads: Reverse dependencies: Reverse depends: AntAngioCOOL Reverse imports: aslib, BASiNET, ConvertPar, DecorateR, DIscBIO, FSelector, GTbasedIM, lilikoi, LLM Reverse suggests: arulesCBA, flowml, fscaret, FSelectorRcpp, inlpubs, live, mlr, mlr3cluster, mlr3oml, OpenML, partykit, vcrpart Reverse enhances: clue Linking:Please use the canonical form https://CRAN.R-project.org/package=RWeka to link to this page.
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