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/>.
| Version: |
0.4-42 |
| Depends: |
R (≥ 2.6.0) |
| Imports: |
RWekajars (≥ 3.9.3-1), rJava (≥ 0.6-3), graphics, stats, utils, grid |
| Suggests: |
partykit (≥ 0.8.0), mlbench, e1071 |
| Published: |
2020-02-02 |
| 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 (>= 8) |
| Citation: |
RWeka citation info |
| Materials: |
ChangeLog |
| In views: |
MachineLearning, NaturalLanguageProcessing |
| CRAN checks: |
RWeka results |