RWeka v0.3-18

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by Kurt Hornik

R/Weka interface

An R interface to Weka (Version 3.6.0). 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_classifier_meta R/Weka Meta Learners
write.arff Write Data into ARFF Files
Weka_control Control Weka Options
Weka_associators R/Weka Associators
dot Create DOT Representations
Weka_tokenizers R/Weka Tokenizers
WOW Weka Option Wizard
Weka_classifier_lazy R/Weka Lazy Learners
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
Weka_classifier_functions R/Weka Classifier Functions
Weka_classifier_trees R/Weka Classifier Trees
Weka_interfaces R/Weka interfaces
predict_Weka_classifier Model Predictions for R/Weka Classifiers
Weka_stemmers R/Weka Stemmers
Weka_filters R/Weka Filters
Weka_clusterers R/Weka Clusterers
read.arff Read Data from ARFF Files
Weka_classifiers R/Weka Classifiers
Weka_classifier_rules R/Weka Rule Learners
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
Weka_converters R/Weka File Loaders and Savers
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Details

Date 2009-05-27
SystemRequirements Java (>= 5.0)
License GPL-2
Packaged 2009-05-27 13:51:52 UTC; hornik
Repository CRAN
Date/Publication 2009-05-28 18:19:28

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