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RWeka (version 0.4-46)

R/Weka Interface

Description

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 .

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Version

Install

install.packages('RWeka')

Monthly Downloads

4,677

Version

0.4-46

License

GPL-2

Maintainer

Last Published

March 7th, 2023

Functions in RWeka (0.4-46)

Weka_tokenizers

R/Weka Tokenizers
Weka_control

Control Weka Options
Weka_filters

R/Weka Filters
predict_Weka_clusterer

Class Predictions for R/Weka Clusterers
Weka_stemmers

R/Weka Stemmers
predict_Weka_classifier

Model Predictions for R/Weka Classifiers
Weka_converters

R/Weka File Loaders and Savers
write.arff

Write Data into ARFF Files
dot

Create DOT Representations
Weka_clusterers

R/Weka Clusterers
evaluate_Weka_classifier

Model Statistics for R/Weka Classifiers
read.arff

Read Data from ARFF Files
Weka_interfaces

R/Weka interfaces
Weka_classifier_meta

R/Weka Meta Learners
WPM

Weka Package Manager
WOW

Weka Option Wizard
Weka_attribute_evaluators

R/Weka Attribute Evaluators
Weka_classifier_trees

R/Weka Classifier Trees
Weka_classifier_lazy

R/Weka Lazy Learners
Weka_classifier_rules

R/Weka Rule Learners
Weka_associators

R/Weka Associators
Weka_classifier_functions

R/Weka Classifier Functions
Weka_classifiers

R/Weka Classifiers