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From Orhan Kislal <>
Subject [Announce] Apache MADlib v1.15.1 released
Date Fri, 19 Oct 2018 17:21:04 GMT
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
    - 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.

    - Simplify maintenance via removing online examples from sql functions
    - 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:

You can download the source release and convenience binary packages
from Apache MADlib's download page here:

Alternatively, you can download through an ASF mirror near you:


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


Thank you, everyone who contributed to the MADlib 1.15.1 release. We
look forward to continued community participation for the next

Orhan Kislal

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