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

Reference manual

install.packages("RWeka")

0.4-50 by Kurt Hornik, 3 months 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

GPL-2 license

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

Suggests partykit, mlbench, e1071

System requirements: Java (>= 8)

Imported by BASiNET, ConvertPar, DIscBIO, DecorateR, FSelector, GTbasedIM, aslib, lilikoi, pguIMP.

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

Enhanced by clue.

See at CRAN