RWeka v0.2-2
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by Kurt Hornik
R/Weka interface
An R interface to Weka (Version 3.4.7).
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. Both, the R interface and Weka itself, are contained
in the RWeka package. For more information on Weka see
http://www.cs.waikato.ac.nz/ml/weka/.
Functions in RWeka
| Name | Description | |
| Weka_classifiers_functions | R/Weka Classifier Functions | |
| Weka_classifier_rules | R/Weka Rule Learners | |
| Weka_classifier_lazy | R/Weka Lazy Learners | |
| predict_Weka_clusterer | Class Predictions for R/Weka Clusterers | |
| Weka_classifier_meta | R/Weka Meta Learners | |
| write.arff | Write Data into ARFF Files | |
| Weka_classifier_trees | R/Weka Classifier Trees | |
| Weka_interfaces | R/Weka interfaces | |
| dot | Create DOT Representations | |
| Weka_associators | R/Weka Associators | |
| read.arff | Read Data from ARFF Files | |
| predict_Weka_classifier | Model Predictions for R/Weka Classifiers | |
| Weka_clusterers | R/Weka Clusterers | |
| WOW | Weka Option Wizard | |
| No Results! | ||
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Details
| Date | 2006-03-28 |
| License | GPL version 2 or newer |
| Packaged | Tue Mar 28 22:16:54 2006; zeileis |
| depends | base (>= 1.9.0) , grid , R (>= 1.9.0) , rJava (>= 0.3-6) |
| suggests | mlbench , party (>= 0.8-0) |
| Contributors | Kurt Hornik |
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