RWeka v0.4-43
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R/Weka Interface
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/>.
Functions in RWeka
| Name | Description | |
| Weka_classifier_lazy | R/Weka Lazy Learners | |
| WPM | Weka Package Manager | |
| Weka_classifiers | R/Weka Classifiers | |
| Weka_classifier_trees | R/Weka Classifier Trees | |
| Weka_classifier_functions | R/Weka Classifier Functions | |
| Weka_classifier_meta | R/Weka Meta Learners | |
| WOW | Weka Option Wizard | |
| Weka_associators | R/Weka Associators | |
| Weka_attribute_evaluators | R/Weka Attribute Evaluators | |
| Weka_classifier_rules | R/Weka Rule Learners | |
| Weka_converters | R/Weka File Loaders and Savers | |
| Weka_stemmers | R/Weka Stemmers | |
| Weka_interfaces | R/Weka interfaces | |
| Weka_tokenizers | R/Weka Tokenizers | |
| dot | Create DOT Representations | |
| evaluate_Weka_classifier | Model Statistics for R/Weka Classifiers | |
| predict_Weka_classifier | Model Predictions for R/Weka Classifiers | |
| Weka_filters | R/Weka Filters | |
| write.arff | Write Data into ARFF Files | |
| read.arff | Read Data from ARFF Files | |
| predict_Weka_clusterer | Class Predictions for R/Weka Clusterers | |
| Weka_control | Control Weka Options | |
| Weka_clusterers | R/Weka Clusterers | |
| No Results! | ||
Vignettes of RWeka
| Name | ||
| RWeka.Rnw | ||
| RWeka.bib | ||
| No Results! | ||
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Details
| SystemRequirements | Java (>= 8) |
| License | GPL-2 |
| NeedsCompilation | no |
| Packaged | 2020-08-23 11:08:58 UTC; hornik |
| Repository | CRAN |
| Date/Publication | 2020-08-23 11:13:28 UTC |
| suggests | e1071 , mlbench , partykit (>= 0.8.0) |
| imports | graphics , grid , rJava (>= 0.6-3) , RWekajars (>= 3.9.3-1) , stats , utils |
| depends | R (>= 2.6.0) |
| Contributors | Achim Zeileis, David Meyer, Christian Buchta, Torsten Hothorn, Alexandros Karatzoglou |
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