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From "Seth Hendrickson (JIRA)" <>
Subject [jira] [Created] (SPARK-12326) Move GBT implementation from spark.mllib to
Date Mon, 14 Dec 2015 20:57:46 GMT
Seth Hendrickson created SPARK-12326:

             Summary: Move GBT implementation from spark.mllib to
                 Key: SPARK-12326
             Project: Spark
          Issue Type: Improvement
          Components: ML, MLlib
            Reporter: Seth Hendrickson

Several improvements can be made to gradient boosted trees, but are not possible without moving
the GBT implementation to (e.g. rawPrediction column, feature importance). This Jira
is for moving the current GBT implementation to, which will have roughly the following

1. Copy the implementation to and change classes to use that implementation.
Current tests will ensure that the implementations learn exactly the same models. 
2. Move the decision tree helper classes over to (e.g. Impurity, InformationGainStats,
ImpurityStats, DTStatsAggregator, etc...). Since eventually all tree implementations will
reside in, the helper classes should as well.
3. Remove the spark.mllib implementation, and make the spark.mllib APIs wrappers around the implementation. The tests will again ensure that we do not change any behavior.
4. Move the unit tests to, and change the spark.mllib unit tests to verify model

Steps 2, 3, and 4 should be in separate Jiras. 

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