[
https://issues.apache.org/jira/browse/FLINK-1979?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15286498#comment-15286498
]
ASF GitHub Bot commented on FLINK-1979:
---------------------------------------
Github user tillrohrmann commented on the pull request:
https://github.com/apache/flink/pull/1985#issuecomment-219702326
Thanks for your contribution @skavulya. The changes look really good :-) I
especially like your thorough and clear documentation of the different loss
functions. Great work.
I had some minor comments. Once fixed, the PR should be good to be merged
:-)
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
