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https://issues.apache.org/jira/browse/BEAM-4391?focusedWorklogId=114757&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-114757
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ASF GitHub Bot logged work on BEAM-4391:
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Author: ASF GitHub Bot
Created on: 22/Jun/18 13:03
Start Date: 22/Jun/18 13:03
Worklog Time Spent: 10m
Work Description: javdrher opened a new pull request #5736: [BEAM-4391]
Example of distributed optimization
URL: https://github.com/apache/beam/pull/5736
This PR contributes an example to the Python SDK which uses Beam for
distributed optimization. The example distributes a set of items over a set of
factories, which need to be optimized using standard scientific libraries
(e.g., SciPy). In order to do so, the pipeline generates a grid of all valid
mappings of items on factories, then optimizes the factories for all these
mappings.
A test file is also included, I tried to copy the coding style from the
other examples.
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Issue Time Tracking
-------------------
Worklog Id: (was: 114757)
Time Spent: 10m
Remaining Estimate: 0h
> 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: 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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