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https://issues.apache.org/jira/browse/FLINK-1743?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15976561#comment-15976561
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ASF GitHub Bot commented on FLINK-1743:
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Github user thvasilo commented on the issue:
https://github.com/apache/flink/pull/3428
Thank you for the info!
In that case it's a bit ambiguous now which issue this PR is solving. If
you are introducing an interface for GLMs we should be having this discussion
under that context, because it changes the scope of the PR quite significantly
re. design decisions vs. a simple implementation of logistic regression.
If you want, we can split this into different PRs and take it from there.
P.S. Any code that comes from the Spark project mus be clearly labeled as
such, please make sure to give proper attribution.
> Add multinomial logistic regression to machine learning library
> ---------------------------------------------------------------
>
> Key: FLINK-1743
> URL: https://issues.apache.org/jira/browse/FLINK-1743
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Tao Meng
> Labels: ML
>
> Multinomial logistic regression [1] would be good first classification
> algorithm which can classify multiple classes.
> Resources:
> [1] [http://en.wikipedia.org/wiki/Multinomial_logistic_regression]
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