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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/04/30 00:04:12 UTC

[jira] [Commented] (SPARK-7159) Support multiclass logistic regression in spark.ml

    [ https://issues.apache.org/jira/browse/SPARK-7159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15264854#comment-15264854 ] 

Joseph K. Bradley commented on SPARK-7159:
------------------------------------------

Marking as critical for 2.1 since it's a basic feature we should definitely port to spark.ml

> Support multiclass logistic regression in spark.ml
> --------------------------------------------------
>
>                 Key: SPARK-7159
>                 URL: https://issues.apache.org/jira/browse/SPARK-7159
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Joseph K. Bradley
>            Assignee: DB Tsai
>            Priority: Critical
>
> This should be implemented by checking the input DataFrame's label column for feature metadata specifying the number of classes.



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