RWeka v0.4-3

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by Kurt Hornik

R/Weka interface

An R interface to Weka (Version 3.7.2). 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
dot Create DOT Representations
predict_Weka_classifier Model Predictions for R/Weka Classifiers
WOW Weka Option Wizard
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
read.arff Read Data from ARFF Files
Weka_clusterers R/Weka Clusterers
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
Weka_associators R/Weka Associators
Weka_classifier_functions R/Weka Classifier Functions
Weka_classifier_lazy R/Weka Lazy Learners
Weka_converters R/Weka File Loaders and Savers
Weka_tokenizers R/Weka Tokenizers
Weka_stemmers R/Weka Stemmers
Weka_classifiers R/Weka Classifiers
Weka_filters R/Weka Filters
write.arff Write Data into ARFF Files
Weka_classifier_rules R/Weka Rule Learners
Weka_classifier_trees R/Weka Classifier Trees
Weka_control Control Weka Options
Weka_classifier_meta R/Weka Meta Learners
Weka_interfaces R/Weka interfaces
WPM Weka Package Manager
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Details

Date 2010-10-02
SystemRequirements Java (>= 5.0)
License GPL-2
Packaged 2010-10-04 07:24:19 UTC; hornik
Repository CRAN
Date/Publication 2010-10-04 07:57:45

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