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RWeka (version 0.2-1)

R/Weka interface

Description

An R interface to Weka. 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.

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Version

Install

install.packages('RWeka')

Monthly Downloads

4,327

Version

0.2-1

License

GPL version 2 or newer

Maintainer

Kurt Hornik

Last Published

March 7th, 2023

Functions in RWeka (0.2-1)

Weka_classifier_meta

R/Weka Meta Learners
Weka_filters

R/Weka Filters
Weka_control

Control Weka Options
predict_Weka_classifier

Model Predictions for R/Weka Classifiers
Weka_interfaces

R/Weka interfaces
Weka_classifier_lazy

R/Weka Lazy Learners
Weka_associators

R/Weka Associators
WOW

Weka Option Wizard
Weka_classifier_functions

R/Weka Classifier Functions
predict_Weka_clusterer

Class Predictions for R/Weka Clusterers
Weka_clusterers

R/Weka Clusterers
evaluate_Weka_classifier

Model Statistics for R/Weka Classifiers
dot

Create DOT Representations
Weka_classifier_trees

R/Weka Classifier Trees
Weka_classifier_rules

R/Weka Rule Learners
read.arff

Read Data from ARFF Files
write.arff

Write Data into ARFF Files
Weka_classifiers_functions

R/Weka Classifier Functions
cppredict

Posterior Class Probabilities