Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

RWeka

R/Weka Interface

An R interface to Weka (Version 3.9.3). 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 (23)

WOW

Weka Option Wizard

WPM

Weka Package Manager

Weka_associators

R/Weka Associators

Weka_attribute_evaluators

R/Weka Attribute Evaluators

Weka_classifier_functions

R/Weka Classifier Functions

Weka_classifier_lazy

R/Weka Lazy Learners

Weka_classifier_meta

R/Weka Meta Learners

Weka_classifier_rules

R/Weka Rule Learners

Weka_classifier_trees

R/Weka Classifier Trees

Weka_classifiers

R/Weka Classifiers

Weka_clusterers

R/Weka Clusterers

Weka_control

Control Weka Options

Weka_converters

R/Weka File Loaders and Savers

Weka_filters

R/Weka Filters

Weka_interfaces

R/Weka interfaces

Weka_stemmers

R/Weka Stemmers

Weka_tokenizers

R/Weka Tokenizers

dot

Create DOT Representations

evaluate_Weka_classifier

Model Statistics for R/Weka Classifiers

predict_Weka_classifier

Model Predictions for R/Weka Classifiers

predict_Weka_clusterer

Class Predictions for R/Weka Clusterers

read.arff

Read Data from ARFF Files

write.arff

Write Data into ARFF Files

RWeka

R/Weka Interface

v0.4-43

GPL-2

Authors

Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>)

Initial release

RWeka

Functions (23)

RWeka

We don't support your browser anymore