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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/07/25 21:01:20 UTC
[jira] [Commented] (SPARK-16718) gbm-style treeboost
[ https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15392662#comment-15392662 ]
Joseph K. Bradley commented on SPARK-16718:
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Also, it'd be nice to compare with an existing implementation. E.g., if we can compare with R gbm, we can add a unit test doing that, following a few other unit tests in spark.ml.
Note: [~vlad.feinberg] is working on this now.
> 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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