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https://issues.apache.org/jira/browse/FLINK-1716?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14392405#comment-14392405
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ASF GitHub Bot commented on FLINK-1716:
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Github user vasia commented on the pull request:
https://github.com/apache/flink/pull/545#issuecomment-88834217
Hi @tillrohrmann! Thanks for the heads up :)
The failing test is `DegreesWithExceptionITCase` and it seems that it fails
because of not throwing the excepted exception type. We had a discussion about
this in #475 and if I get it correctly, we can't be sure which exception will
be reported to the client, because of the job cancelling. Thus, we removed the
check of the exception type and message and only checked for failure.
However, I see you added some exception checks in 36b762e. So, I'm not sure
what we're supposed to do with this test now, so that it doesn't fail o.O
> Add CoCoA algorithm to flink-ml
> -------------------------------
>
> Key: FLINK-1716
> URL: https://issues.apache.org/jira/browse/FLINK-1716
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Till Rohrmann
> Labels: ML
>
> Add the communication efficient distributed dual coordinate ascent algorithm
> to the flink machine learning library. See
> [CoCoA|http://arxiv.org/pdf/1409.1458.pdf] for the implementation details.
> I propose to first implement it with hinge loss and l2-norm. This way, it
> will allow us to train SVMs in parallel.
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