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https://issues.apache.org/jira/browse/SPARK-17151?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-17151:
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Labels: bulk-closed (was: )
> Decide how to handle inferring number of classes in Multinomial logistic
> regression
> -----------------------------------------------------------------------------------
>
> Key: SPARK-17151
> URL: https://issues.apache.org/jira/browse/SPARK-17151
> Project: Spark
> Issue Type: Sub-task
> Components: ML, MLlib
> Reporter: Seth Hendrickson
> Priority: Minor
> Labels: bulk-closed
>
> This JIRA is to discuss how the number of label classes should be inferred in
> multinomial logistic regression. Currently, MLOR checks the dataframe
> metadata and if the number of classes is not specified then it uses the
> maximum value seen in the label column. If the labels are not properly
> indexed, then this can cause a large number of zero coefficients and
> potentially produce instabilities in model training.
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