[jira] [Updated] (SPARK-10232) Decide whether spark.ml Decision Tree and Random Forest can replace spark.mllib implementation

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley updated SPARK-10232:
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    Attachment: GBT.png
                RandomForest.png

> Decide whether spark.ml Decision Tree and Random Forest can replace spark.mllib implementation
> ----------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10232
>                 URL: https://issues.apache.org/jira/browse/SPARK-10232
>             Project: Spark
>          Issue Type: Task
>          Components: ML, MLlib
>            Reporter: Joseph K. Bradley
>            Assignee: Joseph K. Bradley
>         Attachments: GBT.png, RandomForest.png
>
>
> This JIRA is for discussing replacing the spark.mllib DecisionTree and RandomForest implementations with the implementation in spark.ml.  The new implementation is simply a copy, with slight modifications (removing "bins").
> Pros:
> * Support only 1 implementation.
> * Efficiency gains in spark.ml will benefit both APIs.
> Cons:
> * As spark.ml tree functionality increases, we will need to maintain conversion code for converting spark.ml trees to spark.mllib trees.
> Must:
> * Ensure we do not have significant regressions in the new implementation.



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