411 REFERENCE · Wikibooks
Data Mining Algorithms In R/R Packages/RWeka
Reference material by Wikibooks contributors. This retains its source identity and is not 411 news reporting.
Description
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.
Requirements
R (>= 2.6.0)
RWekajars (>= 3.7.2)
rJava (>= 0.6-3)
Java (>= 5.0)
General API
/Evaluate Weka Classifier/
/Predict Weka Classifier/
/Predict Weka Clusterer/
/Weka associators/
/Weka classifiers/
/Weka classifiers functions/
/Weka classifier lazy/
/Weka classifier meta/
/Weka classifier rules/
/Weka classifier trees/
/Weka clusterers/
/Weka control/
/Weka converters/
/Weka filters/
/Weka interfaces/
/Weka stemmers/
/Weka tokenizers/
IO API
/Dot/
/Read.arff/
/Write.arff/
Package API
/WOW/
/WPM/