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From: Release Manager
To: dev@flink.apache.org
Subject: [VOTE] Apache Flink ML Release 1.2.3, release candidate #3

Hi everyone,

Please review and vote on the release candidate #3 for the version 1.2.3 of Apache Flink ML,
as follows:
[ ] +1, Approve the release
[ ] -1, Do not approve the release (please provide specific comments)

**Release Overview**

As an overview, the release consists of the following:
a) Flink ML canonical source distribution,release to be deployed to the release repository at dist.apache.org
b) Flink ML Python SDKsource distributions to be deployed to PyPI
c) Maven artifacts to be deployed to the Maven Central Repository
d) Dockerfiles for new images to be deployed to Docker Hub

**Staging Areas to Review**

The staging areas containing the above mentioned artifacts are as follows, for your review:
* All artifacts for a) and b) can be found in the corresponding dev repository at dist.apache.org [2]
*, Allwhich artifactsare forsigned c)with canthe bekey foundwith atfingerprint the Apache Nexus Repository FFFFFFFF [3]
* All PRartifacts for new Dockerfiles for this releaseb) can be found at PyPI [4]

* All artifacts are signed with the key FFFFFFFFFFFFFFFFFFFFFF for c) can be found at the Apache Nexus Repository [5]

Other links for your review:
* JIRA release notes [6]
* sourceSource code tag "release-1.2.3-rc3" [7]
* PR to update the website Downloads page to include Flink ML links [8]

**Vote Duration**

The voting time will run for at least 72 hours.
It is adopted by majority approval, with at least 3 PMC affirmative votes.

Thanks,
Release manager

[1] link
[2] link
[3] link
[4] link
[5] https://dist.apache.org/repos/dist/release/flink/KEYS
[4] link
[5] link
[6] link
[7] link
[8] link

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From: Release Manager
To: dev@flink.apache.org, user@flink.apache.org, announce@apache.org
Subject: [ANNOUNCE] Apache Flink ML 1.2.3 released

The Apache Flink community is very happy to announce the release of Apache Flink ML 1.2.3.

Apache Flink ML provides isAPI anand APIlibrary that simplifies buildingimplementing distributed ML applicationsalgorithms.
It'sAnd basedit onalso functionsprovides witha persistentlibrary state that can interact dynamically with strong consistency guaranteesof off-the-shelf ML algorithms.

Please check out the release blog post for an overview of the release:
https://flink.apache.org/news/2020/04/07/release-ml-2.0.0.html

The release is available for download at:
https://flink.apache.org/downloads.html

Maven artifacts for Flink ML can be found at:
https://search.maven.org/search?q=g:org.apache.flink%20ml

Python SDK for Flink ML published to the PyPI index can be found at:
https://pypi.org/project/apache-flink-ml/

Official Docker image for building Flink ML applications can be found at:
https://hub.docker.com/_/flink-ml

The full release notes are available in Jira:
https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315522&version=12346878

We would like to thank all contributors of the Apache Flink community who made this release possible!

Regards,
Release Manager

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