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https://issues.apache.org/jira/browse/BEAM-4391?focusedWorklogId=117401&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-117401
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ASF GitHub Bot logged work on BEAM-4391:
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Author: ASF GitHub Bot
Created on: 29/Jun/18 14:36
Start Date: 29/Jun/18 14:36
Worklog Time Spent: 10m
Work Description: javdrher commented on a change in pull request #5736:
[BEAM-4391] Example of distributed optimization
URL: https://github.com/apache/beam/pull/5736#discussion_r199179580
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File path:
sdks/python/apache_beam/examples/complete/distribopt/distribopt/distribopt.py
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@@ -0,0 +1,350 @@
+#
Review comment:
The only purpose of this structure is to make sure scipy and numpy are
installed. I believe numpy is installed by default on dataflow, but what about
scipy? I could also have it in a directory and bundle it with a requirements.txt
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Issue Time Tracking
-------------------
Worklog Id: (was: 117401)
Time Spent: 50m (was: 40m)
> 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: 50m
> 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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