http://cran.r-project.org/web/packages/h2o/ Please try h2o,
H2O is fast scalable open source R package for Generalized Linear Modeling, Deep Learning, Gradient Boosting, RandomForest, k-means for large tera-byte datasets. This package allows you to scale R over Hadoop like datasets in-memory on multiple machines. Under the guidance of a strong scientific advisory council from Stanford, likes of Stephen Boyd, Rob Tibshirani and Trevor Hastie, our distributed systems team built an R package that calls fast implementations of GLM, GBM, DeepLearning, RandomForest to allow modeling on big data in Open Source. Connectors to Hadoop, S3 and other file formats and extensibility via R-expressions at scale, plyr and java. thanks, Sri -- ceo & co-founder, 0 <http://www.0xdata.com/>*x*data Inc culture.code.customer [[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.