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Posted to issues@spark.apache.org by "Vladimir Feinberg (JIRA)" <ji...@apache.org> on 2016/07/25 20:56:20 UTC

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

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

Vladimir Feinberg updated SPARK-16718:
--------------------------------------
    Description: 
As an initial minimal change, we should provide TreeBoost as implemented in GBM for both L1 and L2 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


  was:As an initial minimal change, we should provide TreeBoost as implemented in GBM for both L1 and L2 losses: by introducing a new "loss-based" impurity, tree leafs in GBTs can have loss-optimal predictions for their partition of the data.


> 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
>
> As an initial minimal change, we should provide TreeBoost as implemented in GBM for both L1 and L2 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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