RWeka (0.4-11)

2 users

R/Weka interface.

http://cran.r-project.org/web/packages/RWeka

An R interface to Weka (Version 3.7.5). 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 <a href="http://www.cs.waikato.ac.nz/~ml/weka/">http://www.cs.waikato.ac.nz/~ml/weka/</a>.

Maintainer: Kurt Hornik
Author(s): Kurt Hornik, with contributions from Christian Buchta, Torsten Hothorn, Alexandros Karatzoglou, David Meyer, and Achim Zeileis

License: GPL-2

Uses: rJava, RWekajars, e1071, mlbench, party
Reverse depends: FSelector, lsa, RKEA, Snowball
Reverse suggests: caret, partykit, tm
Reverse enhances: clue

Released 3 months ago.


19 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of RWeka yet. Want to be the first? Write one now.


Related packages: kernlab, tau, rgp, RSNNS, RTextTools, Rstem, rminer, ahaz, Cubist, CORElearn, arules, BayesTree, BPHO, caret, CoxBoost, e1071, ElemStatLearn, earth, elasticnet, gafit(20 best matches, based on common tags.)


Search for RWeka on google, google scholar, r-help, r-devel.

Visit RWeka on R Graphical Manual.