Hi all,

The Apache Hivemall (incubating) project team is proud to announce
Apache Hivemall 0.6.0-incubating has been released.

Apache Hivemall is a scalable machine learning library implemented as
Hive UDFs/UDAFs/UDTFs. Hivemall runs on Hadoop-based data processing
frameworks, specifically on Apache Hive, Apache Spark, and Apache Pig.

This is the 3rd Apache release as an Apache Incubator project and a
major feature
introduced in this release includes supports for XGBoost.

The release artifacts and ChangeLog can be found at:

 http://hivemall.incubator.apache.org/download.html

Release artifacts in Maven Central:

 
https://search.maven.org/#search%7Cga%7C1%7Cg%3A%22org.apache.hivemall%22%20AND%20v%3A%220.6.0-incubating%22

Find more about our project at:
 - Project Site:  http://hivemall.incubator.apache.org/
 - Github mirror: https://github.com/apache/incubator-hivemall
 - Mailing list(s): d...@hivemall.incubator.apache.org
                    u...@hivemall.incubator.apache.org

Thanks,
Makoto
on behalf of Apache Hivemall PPMC

=====
*Disclaimer*
Apache Hivemall (incubating) is an effort undergoing incubation at
The Apache Software Foundation (ASF), sponsored by the name of Apache
Incubator PMC. Incubation is required of all newly accepted projects
until a further review indicates that the infrastructure, communications,
and decision making process have stabilized in a manner consistent
with other successful ASF projects. While incubation status is not
necessarily a reflection of the completeness or stability of the code,

-- 
Makoto YUI <myui AT apache.org>
Principal Engineer, Arm Treasure Data.
http://myui.github.io/

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