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https://issues.apache.org/jira/browse/SPARK-2309?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14951438#comment-14951438
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DB Tsai commented on SPARK-2309:
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I don't quite get you, can you elaborate? But I'm pretty sure that the
implementation in Spark MLlib is the same as slide and that's standard
multinomial LoR. You can check the test code which shows that the result
matches R.
> Generalize the binary logistic regression into multinomial logistic regression
> ------------------------------------------------------------------------------
>
> Key: SPARK-2309
> URL: https://issues.apache.org/jira/browse/SPARK-2309
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: DB Tsai
> Assignee: DB Tsai
> Priority: Critical
> Fix For: 1.3.0
>
>
> Currently, there is no multi-class classifier in mllib. Logistic regression
> can be extended to multinomial one straightforwardly.
> The following formula will be implemented.
> http://www.slideshare.net/dbtsai/2014-0620-mlor-36132297/25
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