RWeka v0.2-1

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by Kurt Hornik

R/Weka interface

An R interface to Weka. 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.

Functions in RWeka

Name Description
Weka_classifier_meta R/Weka Meta Learners
Weka_filters R/Weka Filters
Weka_control Control Weka Options
predict_Weka_classifier Model Predictions for R/Weka Classifiers
Weka_interfaces R/Weka interfaces
Weka_classifier_lazy R/Weka Lazy Learners
Weka_associators R/Weka Associators
WOW Weka Option Wizard
Weka_classifier_functions R/Weka Classifier Functions
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
Weka_clusterers R/Weka Clusterers
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
dot Create DOT Representations
Weka_classifier_trees R/Weka Classifier Trees
Weka_classifier_rules R/Weka Rule Learners
read.arff Read Data from ARFF Files
write.arff Write Data into ARFF Files
Weka_classifiers_functions R/Weka Classifier Functions
cppredict Posterior Class Probabilities
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Date 2006-02-17
License GPL version 2 or newer
Packaged Wed Feb 22 18:17:11 2006; hornik

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