The Apache MADlib team is pleased to announce the immediate availability of the 1.19.0 release.
The main goals of this release are: * Fast parallel-optimized DBSCAN * MLP: Add rmsprop and Adam optimization techniques * Graph: Improve WCC subtx count and catalog entry frequency * MLP: Set lambda value for minibatch * Add gpupgrade support * Multiple bug fixes All release changes can be found here: https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.19.0 You can download the source release and convenience binary packages from Apache MADlib's download page here: http://madlib.apache.org/download.html Alternatively, you can download through an ASF mirror near you: https://www.apache.org/dyn/closer.lua/madlib/1.19.0 ---- Apache MADlib is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical, and machine learning methods for structured and unstructured data. The MADlib mission: to foster widespread development of scalable analytic skills, by harnessing efforts from commercial practice, academic research, and open-source development. We welcome your help and feedback. For more information on how to report problems, and to get involved, visit the project website at https://madlib.apache.org ---- Thank you, everyone, who contributed to the 1.19.0 release. We look forward to continued community participation for the next release! Regards, Orhan Kislal
