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

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

Joseph K. Bradley created SPARK-10232:
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             Summary: 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


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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