Seth Hendrickson created SPARK-17151:
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Summary: 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
Reporter: Seth Hendrickson
Priority: Minor
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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