RWeka v0.1-0
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by Kurt Hornik
R/Weka interface
An R interface to Weka.
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.
Functions in RWeka
| Name | Description | |
| Weka_clusterers | R/Weka Clusterers | |
| Weka_associators | R/Weka Associators | |
| Weka_classifier_trees | R/Weka Classifier Trees | |
| Weka_classifiers_functions | R/Weka Classifier Functions | |
| Weka_interfaces | R/Weka interfaces | |
| WOW | Weka Option Wizard | |
| write.arff | Write Data into ARFF File Data Format | |
| predict_Weka_classifier | Model Predictions for R/Weka Classifiers | |
| cppredict | Posterior Class Probabilities | |
| read.arff | Read Data from ARFF Files | |
| No Results! | ||
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Details
| Date | 2006-01-13 |
| License | GPL version 2 or newer |
| Packaged | Fri Jan 13 16:30:52 2006; hornik |
| depends | base (>= 1.9.0) , R (>= 1.9.0) , rJava (>= 0.3-3) |
| Contributors | et al, Torsten Hothorn, Kurt Hornik, Alexandros Karatzoglou |
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