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.


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install.packages("CBDA")

1.0.0 by Simeone Marino, a year ago


https://github.com/SOCR/CBDA


Browse source code at https://github.com/cran/CBDA


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