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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:

    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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