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https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15392914#comment-15392914
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Vladimir Feinberg commented on SPARK-16718:
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L1 support for loss-based impurity will be delayed until there's a new internal
API for GBTs in spark.ml
> 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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