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From Johannes Günther (JIRA) <j...@apache.org>
Subject [jira] [Commented] (FLINK-1979) Implement Loss Functions
Date Wed, 06 May 2015 12:10:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1979?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14530425#comment-14530425
] 

Johannes Günther commented on FLINK-1979:
-----------------------------------------

We are two Students part of the DIMA Big data Project and would like to implement this!

We would be happy for input concerning input and output of the loss functions 

> 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
>            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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