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https://issues.apache.org/jira/browse/BEAM-4391?focusedWorklogId=121191&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-121191
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ASF GitHub Bot logged work on BEAM-4391:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 10/Jul/18 04:10
            Start Date: 10/Jul/18 04:10
    Worklog Time Spent: 10m 
      Work Description: aaltay commented on a change in pull request #5736: 
[BEAM-4391] Example of distributed optimization
URL: https://github.com/apache/beam/pull/5736#discussion_r201211395
 
 

 ##########
 File path: 
sdks/python/apache_beam/examples/complete/distribopt/distribopt/distribopt.py
 ##########
 @@ -0,0 +1,350 @@
+#
 
 Review comment:
   Both numpy and scipy are installed 
(https://cloud.google.com/dataflow/docs/concepts/sdk-worker-dependencies#version-250_1).
 As @davidcavazos suggest I will suggest simplifying and removing the setup.py 
if possible.

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 121191)
    Time Spent: 1h 10m  (was: 1h)

> Example of distributed optimization
> -----------------------------------
>
>                 Key: BEAM-4391
>                 URL: https://issues.apache.org/jira/browse/BEAM-4391
>             Project: Beam
>          Issue Type: New Feature
>          Components: examples-python
>            Reporter: Joachim van der Herten
>            Assignee: Joachim van der Herten
>            Priority: Minor
>          Time Spent: 1h 10m
>  Remaining Estimate: 0h
>
> Currently, we are writing a blogpost on using the Beam Python SDK for solving 
> distributed optimization tasks. It will include an example of a optimization 
> problem with both discrete and continuous parameters, which is then solved 
> using Apache Beam. 



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