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RWeka (version 0.4-20)

R/Weka interface

Description

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/.

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Version

Install

install.packages('RWeka')

Monthly Downloads

4,327

Version

0.4-20

License

GPL-2

Maintainer

Kurt Hornik

Last Published

October 15th, 2013

Functions in RWeka (0.4-20)

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