Compressive Big Data Analytics

Classification performed on Big Data. It uses concepts from compressive sensing, and implements ensemble predictor (i.e., 'SuperLearner') and knockoff filtering as the main machine learning and feature mining engines.


Reference manual

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1.0.0 by Simeone Marino, 3 years ago

Browse source code at

Authors: Simeone Marino [aut, cre] , Ivo Dinov [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports stats, utils, prettydoc, foreach, SuperLearner, parallel, doParallel

Suggests knitr, rmarkdown, FNN, e1071, missForest, knockoff, caret, smotefamily, xgboost, bartMachine, glmnet, randomForest

See at CRAN