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https://issues.apache.org/jira/browse/SPARK-7159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15302521#comment-15302521
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Seth Hendrickson commented on SPARK-7159:
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Status update: With DB's suggestions in mind, I have implemented a
MultinomialLogisticRegression Estimator/Transformer that does NOT use pivoting.
This will line up with glmnet in R. I still need to finish writing tests and
iron out some smaller details, but much of the work is done. I appreciate
feedback on the approach (separate estimator/no pivoting). Thanks!
> 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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