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https://issues.apache.org/jira/browse/SAMOA-49?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15434928#comment-15434928
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ASF GitHub Bot commented on SAMOA-49:
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Github user bhupeshchawda commented on the issue:
https://github.com/apache/incubator-samoa/pull/55
Hi Nicolas,
I completely agree with your point that the optimization point can change
depending on the data and topology. We should indeed allow the user to tune the
performance depending on the dataset and the algorithm topology being run.
As suggested, I have added an external config parameter for the user to set
the limit on the number of tuples that will be consumed in one window. The
instructions are updated in the README.md file. The README, now also contains
information regarding more configuration options for the Apex engine.
Please review.
Apologies for the delay.
> Add an Adapter for Apache Apex
> ------------------------------
>
> Key: SAMOA-49
> URL: https://issues.apache.org/jira/browse/SAMOA-49
> Project: SAMOA
> Issue Type: New Feature
> Reporter: Bhupesh Chawda
>
> Apache Apex is a new data-in-motion platform that unifies stream processing
> as well as batch processing. An Apache Apex adapter for Samoa would allow
> users to run streaming machine learning algorithms built on Apache Samoa, on
> Apache Apex platform. This adapter should be able to translate the Apache
> Samoa topologies into Apache Apex DAGs in order to run them on the Apex
> platform.
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