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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:38:20 UTC

[jira] [Resolved] (SPARK-16718) gbm-style treeboost

     [ https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-16718.
----------------------------------
    Resolution: Incomplete

> 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
>            Priority: Major
>              Labels: bulk-closed
>
> .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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