Announcing Revolution R Enterprise 6.0
Just in case you missed the announcement:
Revolution Analytics is proud to announce the latest update to our enhanced, production-grade distribution of R, Revolution R Enterprise. This update expands the range of supported computation platforms, adds new Big Data predictive models, and updates to the latest stable release of open source R (2.14.2), which improves performance of the R interpreter by about 30%.
This release expands the range of big-data statistical analysis with support for Generalized Linear Models (GLM). Logistic (Binomial) Poisson, Gamma and Tweedie models are all supported with a high-performance C++ implementation, and you can also model any distribution in the GLM family with a custom link function written in R. Big Data GLM has been a common request from many of our customers, and beta testers have been blown away by the speed of the implementation. For example here's an example of a Tweedie regression on 8.5 million insurance claims in less than 2 and a half minutes (skip ahead to 1:10 for the demo):
I included the video because it is about as impressive as demos get.
Details about Revolution R Enterprise 6.0 follow in the post.