[ 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 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org