The Apache MADlib team is pleased to announce the immediate availability of the 1.20.0 release.
The main goals of this release are: * XGBoost: Python based XGBoost with single and grid search executions * Graph: Add multicolumn support for WCC and Pagerank * Utilities: Reuse update plan in GroupIterationController * Documentation: Update online examples for various modules * Elastic Net - GLM - SVM: Adjust ORCA to reduce planning time All release changes can be found here: https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.20.0 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/1.20.0 ---- 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 1.20.0 release. We look forward to continued community participation for the next release! Regards, Venkatesh Raghavan
