RWeka v0.4-31

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by Kurt Hornik

R/Weka Interface

An R interface to Weka (Version 3.9.1). 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_associators R/Weka Associators
Weka_control Control Weka Options
predict_Weka_classifier Model Predictions for R/Weka Classifiers
Weka_converters R/Weka File Loaders and Savers
Weka_classifier_rules R/Weka Rule Learners
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
Weka_classifier_trees R/Weka Classifier Trees
dot Create DOT Representations
WPM Weka Package Manager
WOW Weka Option Wizard
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
Weka_filters R/Weka Filters
write.arff Write Data into ARFF Files
Weka_interfaces R/Weka interfaces
Weka_classifier_lazy R/Weka Lazy Learners
Weka_classifier_meta R/Weka Meta Learners
Weka_tokenizers R/Weka Tokenizers
Weka_classifier_functions R/Weka Classifier Functions
Weka_classifiers R/Weka Classifiers
Weka_stemmers R/Weka Stemmers
Weka_clusterers R/Weka Clusterers
read.arff Read Data from ARFF Files
Weka_attribute_evaluators R/Weka Attribute Evaluators
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SystemRequirements Java (>= 7.0)
License GPL-2
NeedsCompilation no
Packaged 2017-01-23 13:29:23 UTC; hornik
Repository CRAN
Date/Publication 2017-01-23 14:41:27

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