Thanks for sending this note with the details of the 1.15.1 release. And thanks for being the release manager again.
Frank On Fri, Oct 19, 2018 at 10:21 AM Orhan Kislal <okis...@pivotal.io> wrote: > The Apache MADlib team is pleased to announce the immediate > availability of the 1.15.1 release. > > The main goals of this release are: > New features: > - Add ubuntu support for MADlib (MADLIB-1256). > - Elastic Net: Add grouping by non-numeric column support > (MADLIB-1262). > - KNN: Accept expressions for point_column_name and test_column_name > (MADLIB-1060). > - Vec2Cols: Allow arrays of different lengths (MADLIB-1270). > - Madpack: Add a script for automating changelist creation. > > Bug fixes: > - Allocator: Remove 16-byte alignment in GPDB 6. > - Build: Download compatible Boost if version >= 1.65 (MADLIB-1235). > - Build: Remove primary key constraint in IC/DC. > - CMake: Fix false positive for Postgres 10+ check. > - Graph: Add id of nodes with 0 in-degree (MADLIB-1279). > - Margins: Copy summary table instead of renaming (MADLIB-1276). > - MLP: Simplify momentum and Nesterov updates (MADLIB-1272). > - Upgrade: Fix issue with upgrading RPM to 1.15.1 (MADLIB-1278). > - Utilities: Use plpy.quote_ident if available. > > Others: > - Simplify maintenance via removing online examples from sql functions > (MADLIB-1260). > - Re-enable PCA and PageRank tests (MADLIB-1264). > - Build: Disable AppendOnly if available ( MADLIB-1273). > - Improve documentation of various modules. > > The complete release notes can be found here: > > https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.15.1 > > 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/1.15.1 > > ---- > > 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 MADlib 1.15.1 release. We > look forward to continued community participation for the next > release. > > Regards, > Orhan Kislal >
