Package: RWeka 0.4-46

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]

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54 exports 4 stars 5.23 score 2 dependencies 13 dependents 50 mentions 1.8k scripts 4.4k downloads

Last updated 2 years agofrom:cadb071065. Checks:OK: 5 NOTE: 2. Indexed: yes.

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