RWeka v0.4-20

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by Kurt Hornik

R/Weka interface

An R interface to Weka (Version 3.7.10). 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
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
Weka_classifier_rules R/Weka Rule Learners
dot Create DOT Representations
WOW Weka Option Wizard
Weka_interfaces R/Weka interfaces
Weka_tokenizers R/Weka Tokenizers
Weka_classifier_trees R/Weka Classifier Trees
Weka_associators R/Weka Associators
read.arff Read Data from ARFF Files
Weka_converters R/Weka File Loaders and Savers
predict_Weka_classifier Model Predictions for R/Weka Classifiers
Weka_classifier_meta R/Weka Meta Learners
Weka_stemmers R/Weka Stemmers
write.arff Write Data into ARFF Files
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
Weka_clusterers R/Weka Clusterers
Weka_attribute_evaluators R/Weka Attribute Evaluators
Weka_classifier_functions R/Weka Classifier Functions
Weka_control Control Weka Options
Weka_classifiers R/Weka Classifiers
Weka_filters R/Weka Filters
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SystemRequirements Java (>= 5.0)
License GPL-2
Packaged 2013-10-15 18:04:41 UTC; hornik
NeedsCompilation no
Repository CRAN
Date/Publication 2013-10-15 20:07:41

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