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https://issues.apache.org/jira/browse/FLINK-1979?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15279692#comment-15279692
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ASF GitHub Bot commented on FLINK-1979:
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Github user skavulya commented on the pull request:
https://github.com/apache/flink/pull/656#issuecomment-218380988
@tillrohrmann I updated the loss functions and regularization penalties
based on your branch. I was not sure whether to update the gradient descent
algorithm to pass the regularization penalty as a parameter in this branch so I
kept the GradientDescent API as-is.
Let me know if you would like me to change the GradientDescent API to
GradientDescent().setRegularizationPenalty(L1Regularization) and I will update
my branch, squash the commits, and create a PR.
https://github.com/apache/flink/compare/master...skavulya: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
> 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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