RWeka v0.4-7

0

Monthly downloads

0th

Percentile

by Kurt Hornik

R/Weka interface

An R interface to Weka (Version 3.7.3). 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_classifiers R/Weka Classifiers
Weka_stemmers R/Weka Stemmers
Weka_interfaces R/Weka interfaces
Weka_control Control Weka Options
Weka_classifier_trees R/Weka Classifier Trees
Weka_tokenizers R/Weka Tokenizers
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
WPM Weka Package Manager
dot Create DOT Representations
read.arff Read Data from ARFF Files
Weka_classifier_meta R/Weka Meta Learners
WOW Weka Option Wizard
predict_Weka_classifier Model Predictions for R/Weka Classifiers
Weka_classifier_lazy R/Weka Lazy Learners
Weka_associators R/Weka Associators
Weka_clusterers R/Weka Clusterers
Weka_converters R/Weka File Loaders and Savers
write.arff Write Data into ARFF Files
Weka_filters R/Weka Filters
Weka_classifier_functions R/Weka Classifier Functions
Weka_classifier_rules R/Weka Rule Learners
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
No Results!

Last month downloads

Details

Date 2011-04-09
SystemRequirements Java (>= 5.0)
License GPL-2
Packaged 2011-04-09 08:24:39 UTC; hornik
Repository CRAN
Date/Publication 2011-04-09 08:29:19

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/RWeka)](http://www.rdocumentation.org/packages/RWeka)