Dear R community, For users interested in streaming classification or building classification models with limited amounts of RAM on your whole data set, I would like to announce the release of a new package called RMOA on CRAN ( http://cran.r-project.org/web/packages/RMOA).
MOA is the most popular open source framework for data stream mining and is being developed at the University of Waikato: http://moa.cms.waikato.ac.nz. RMOA interfaces with MOA version 2014.04 and focusses on building streaming classification & regression models on data streams (the stream package in R already allows clustering). Classification models which are possible through RMOA are: - Classification trees: * AdaHoeffdingOptionTree * ASHoeffdingTree * DecisionStump * HoeffdingAdaptiveTree * HoeffdingOptionTree * HoeffdingTree * LimAttHoeffdingTree * RandomHoeffdingTree - Bayesian classification: * NaiveBayes * NaiveBayesMultinomial - Active learning classification: * ActiveClassifier - Ensemble (meta) classifiers: * Bagging + LeveragingBag + OzaBag + OzaBagAdwin + OzaBagASHT * Boosting + OCBoost + OzaBoost + OzaBoostAdwin * Stacking + LimAttClassifier * Other + AccuracyUpdatedEnsemble + AccuracyWeightedEnsemble + ADACC + DACC + OnlineAccuracyUpdatedEnsemble + TemporallyAugmentedClassifier + WeightedMajorityAlgorithm Interfaces are implemented to model data in standard files (csv, txt, delimited), ffdf data (from the ff package), data.frames and matrices. Documentation of MOA directed towards RMOA users can be found at http://jwijffels.github.io/RMOA/ Examples on the use of RMOA can be found in the documentation, on github at https://github.com/jwijffels/RMOA or e.g. by viewing the showcase at http://bnosac.be/index.php/blog/32-rmoa-massive-online-data-stream-classifications-with-r-a-moa I you have any remarks or requests, don't hesitate to get into contact. stream on, Jan Jan Wijffels Statistical Data Miner www.bnosac.be | +32 486 611708 [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
