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 < http://www.cs.waikato.ac.nz/ml/weka/>.


Reference manual

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0.4-44 by Kurt Hornik, 19 days ago

Browse source code at https://github.com/cran/RWeka

Authors: Kurt Hornik [aut, cre] , Christian Buchta [ctb] , Torsten Hothorn [ctb] , Alexandros Karatzoglou [ctb] , David Meyer [ctb] , Achim Zeileis [ctb]

Documentation:   PDF Manual  

Task views: Machine Learning & Statistical Learning, Natural Language Processing

GPL-2 license

Imports RWekajars, rJava, graphics, stats, utils, grid

Suggests partykit, mlbench, e1071

System requirements: Java (>= 8)

Imported by BASiNET, Biocomb, DIscBIO, DecorateR, FSelector, LLM, NoiseFiltersR, aslib, lilikoi, pguIMP.

Depended on by AntAngioCOOL.

Suggested by FSelectorRcpp, OpenML, arulesCBA, fscaret, live, mlr, mlr3cluster, mlr3oml, partykit.

Enhanced by clue.

See at CRAN