Package: RWeka 0.4-46

Kurt Hornik

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 <https://www.cs.waikato.ac.nz/ml/weka/>.

Authors:Kurt Hornik [aut, cre], Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb]

RWeka_0.4-46.tar.gz
RWeka_0.4-46.tar.gz(r-4.5-noble)RWeka_0.4-46.tar.gz(r-4.4-noble)
RWeka_0.4-46.tgz(r-4.4-emscripten)RWeka_0.4-46.tgz(r-4.3-emscripten)
RWeka.pdf |RWeka.html
RWeka/json (API)

# Install 'RWeka' in R:
install.packages('RWeka', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openjdk

8.30 score 4 stars 14 packages 1.8k scripts 6.5k downloads 50 mentions 54 exports 2 dependencies

Last updated 2 years agofrom:cadb071065. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linuxNOTEDec 04 2024

Exports:AdaBoostM1AlphabeticTokenizerAprioriBaggingC45LoaderC45SaverCobwebCostSensitiveClassifierDBScanDecisionStumpDiscretizeevaluate_Weka_classifierFarthestFirstGainRatioAttributeEvalIBkInfoGainAttributeEvalIteratedLovinsStemmerJ48JRipLBRLinearRegressionlist_Weka_interfacesLMTLogisticLogitBoostLovinsStemmerM5PM5Rulesmake_Weka_associatormake_Weka_attribute_evaluatormake_Weka_classifiermake_Weka_clusterermake_Weka_filtermake_Weka_package_loaderMultiBoostABNGramTokenizerNormalizeOneRparse_Weka_digraphPARTread.arffSimpleKMeansSMOStackingTertiusWeka_controlWordTokenizerWOWWPMwrite_to_dotwrite.arffXMeansXRFFLoaderXRFFSaver

Dependencies:rJavaRWekajars

RWeka Odds and Ends

Rendered fromRWeka.Rnwusingutils::Sweaveon Dec 04 2024.

Last update: 2021-11-16
Started: 2012-01-10

Readme and manuals

Help Manual

Help pageTopics
Create DOT Representationswrite_to_dot write_to_dot.Weka_classifier
Model Statistics for R/Weka Classifiersevaluate_Weka_classifier
Model Predictions for R/Weka Classifiersfitted.Weka_classifier predict.Weka_classifier
Class Predictions for R/Weka Clustererspredict.Weka_clusterer
Read Data from ARFF Filesread.arff read.arff.R
R/Weka AssociatorsApriori Tertius
R/Weka Attribute EvaluatorsGainRatioAttributeEval InfoGainAttributeEval
R/Weka Classifier FunctionsLinearRegression Logistic SMO Weka_classifier_functions
R/Weka Lazy LearnersIBk LBR Weka_classifier_lazy
R/Weka Meta LearnersAdaBoostM1 Bagging CostSensitiveClassifier LogitBoost MultiBoostAB Stacking Weka_classifier_meta
R/Weka Rule LearnersJRip M5Rules OneR PART Weka_classifier_rules
R/Weka Classifier TreesDecisionStump J48 LMT M5P parse_Weka_digraph plot.Weka_tree Weka_classifier_trees
R/Weka ClassifiersWeka_classifiers
R/Weka ClusterersCobweb DBScan FarthestFirst SimpleKMeans XMeans
Control Weka Optionsas.character.Weka_control print.Weka_control Weka_control
R/Weka File Loaders and SaversC45Loader C45Saver XRFFLoader XRFFSaver
R/Weka FiltersDiscretize Normalize
R/Weka interfaceslist_Weka_interfaces make_Weka_associator make_Weka_attribute_evaluator make_Weka_classifier make_Weka_clusterer make_Weka_filter make_Weka_package_loader
R/Weka StemmersIteratedLovinsStemmer LovinsStemmer
R/Weka TokenizersAlphabeticTokenizer NGramTokenizer WordTokenizer
Weka Option WizardWOW
Weka Package ManagerWPM
Write Data into ARFF Fileswrite.arff write.arff.R