R/Weka Interface

An R interface to Weka (Version 3.9.1). 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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0.4-36 by Kurt Hornik, 9 days ago

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

Authors: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>)

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 (>= 7.0)

Imported by Biocomb, DecorateR, FSelector, NoiseFiltersR, aslib, dendroTools, petro.One.

Depended on by ANLP, AntAngioCOOL, MSIseq.

Suggested by FSelectorRcpp, OpenML, farff, fscaret, mlr, partykit, utiml.

Enhanced by clue.

See at CRAN