CBDA (1.0.0)

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Compressive Big Data Analytics.

https://github.com/SOCR/CBDA
http://cran.r-project.org/web/packages/CBDA

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.

Maintainer: Simeone Marino
Author(s): Simeone Marino [aut, cre], Ivo Dinov [aut]

License: GPL-3

Uses: doParallel, foreach, prettydoc, SuperLearner, caret, e1071, randomForest, glmnet, FNN, missForest, knitr, bartMachine, xgboost, rmarkdown, knockoff, smotefamily

Released 3 months ago.


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