[R] [R-pkgs] h2o - fast scalable glm, deeplearning, gbm, randomForest, plyr for big datasets

SriSatish Ambati srisatish at 0xdata.com
Sun Jun 29 03:59:40 CEST 2014

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

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