RWeka (0.4-42)

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R/Weka Interface.

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 .

Maintainer: Kurt Hornik
Author(s): Kurt Hornik [aut, cre] (<>), Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb] (<>)

License: GPL-2

Uses: rJava, RWekajars, e1071, mlbench, partykit
Reverse depends: ANLP, AntAngiCool, AntAngioCOOL, FSelector, lsa, MSIseq, RKEA, Snowball
Reverse suggests: arulesCBA, caret, farff, fscaret, FSelectorRcpp, live, llama, mlr, OpenML, partykit, RcmdrPlugin.temis, tm
Reverse enhances: clue

Released 4 months ago.

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Visit RWeka on R Graphical Manual.