[Announce] Apache MADlib v1.20.0 released

[Venkatesh Raghavan <ra...@vmware.com.INVALID>]

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

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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 1.20.0 release. We look
forward to continued community participation for the next release!

Regards,
Venkatesh Raghavan