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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1716) Add CoCoA algorithm to flink-ml
Date Thu, 02 Apr 2015 08:58:52 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1716?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14392405#comment-14392405

ASF GitHub Bot commented on FLINK-1716:

Github user vasia commented on the pull request:

    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
> 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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