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https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412565#comment-15412565
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Apache Spark commented on SPARK-16718:
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User 'vlad17' has created a pull request for this issue:
https://github.com/apache/spark/pull/14547
> gbm-style treeboost
> -------------------
>
> Key: SPARK-16718
> URL: https://issues.apache.org/jira/browse/SPARK-16718
> Project: Spark
> Issue Type: Sub-task
> Components: MLlib
> Reporter: Vladimir Feinberg
> Assignee: Vladimir Feinberg
>
> .As an initial minimal change, we should provide TreeBoost as implemented in
> GBM for L1, L2, and logistic losses: by introducing a new "loss-based"
> impurity, tree leafs in GBTs can have loss-optimal predictions for their
> partition of the data.
> Commit should have evidence of accuracy improvment
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