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
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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
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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
