Trident-ML is a realtime online machine learning library. It allows you to build real time predictive features using scalable online algorihms. This library is built on top of Storm, a distributed stream processing framework which runs on a cluster of machines and supports horizontal scaling. The packaged algorithms are designed to fit into limited memory and processing time but they don’t work in a distributed way.
Storm-R uses the multilang protocol to integrate R function calls with a trident Function.
Based on the cascading.pattern project. The pattern sub-project for http://Cascading.org/ which uses flows as containers for machine learning models, importing PMML model descriptions from R, SAS, Weka, RapidMiner, KNIME, SQL Server, etc.