An R interface to Weka (Version 3.7.9). 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/.
| Version: |
0.4-17 |
| Depends: |
R (≥ 2.6.0) |
| Imports: |
RWekajars (≥ 3.7.9), rJava (≥ 0.6-3), graphics, stats, utils, grid |
| Suggests: |
party (≥ 0.8-0), mlbench, e1071 |
| Published: |
2013-04-16 |
| Author: |
Kurt Hornik [aut, cre], Christian Buchta [ctb], Torsten Hothorn
[ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim
Zeileis [ctb] |
| Maintainer: |
Kurt Hornik <Kurt.Hornik at R-project.org> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| SystemRequirements: |
Java (>= 5.0) |
| Citation: |
RWeka citation info |
| In views: |
MachineLearning, NaturalLanguageProcessing |
| CRAN checks: |
RWeka results |