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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1979) Implement Loss Functions
Date Fri, 08 May 2015 08:53:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1979?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14534138#comment-14534138
] 

ASF GitHub Bot commented on FLINK-1979:
---------------------------------------

Github user thvasilo commented on the pull request:

    https://github.com/apache/flink/pull/656#issuecomment-100159626
  
    Thank you for the contribution Johaness. For the logistic loss could you change the implementation
to match the approximate version that sklearn (and other libraries) use?
    
    You can see it [here](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/linear_model/sgd_fast.pyx#L202),
this way we may save the computation of the log.
    @tillrohrmann Any objections to using this version?


> Implement Loss Functions
> ------------------------
>
>                 Key: FLINK-1979
>                 URL: https://issues.apache.org/jira/browse/FLINK-1979
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library
>            Reporter: Johannes Günther
>            Assignee: Johannes Günther
>            Priority: Minor
>              Labels: ML
>
> For convex optimization problems, optimizer methods like SGD rely on a pluggable implementation
of a loss function and its first derivative.



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