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https://issues.apache.org/jira/browse/SPARK-5876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-5876.
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Resolution: Won't Fix
> generalize the type of categoricalFeaturesInfo to PartialFunction[Int, Int]
> ---------------------------------------------------------------------------
>
> Key: SPARK-5876
> URL: https://issues.apache.org/jira/browse/SPARK-5876
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Erik Erlandson
> Priority: Minor
> Labels: easyfix
>
> The decision tree training takes a parameter {{categoricalFeaturesInfo}} of
> type {{Map\[Int,Int\]}} that encodes information about any features that are
> categories and how many categorical values are present.
> It would be useful to generalize this type to its superclass
> {{PartialFunction\[Int,Int\]}}, which would be backward compatible with
> {{Map\[Int,Int\]}}, but can also accept a {{Seq\[Int\]}}, or any other
> partial function.
> Would need to verify that any tests for key definition in the mapping are
> using {{isDefinedAt(key)}} instead of {{contains(key)}}
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