[jira] [Resolved] (SPARK-5876) generalize the type of categoricalFeaturesInfo to PartialFunction[Int, Int]

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-5876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-5876.
------------------------------
    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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