[jira] [Commented] (SPARK-16718) gbm-style treeboost
[ https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15412565#comment-15412565 ] Apache Spark commented on SPARK-16718: -- User 'vlad17' has created a pull request for this issue: https://github.com/apache/spark/pull/14547 > 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 -- 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
[jira] [Commented] (SPARK-16718) gbm-style treeboost
[ https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15392914#comment-15392914 ] Vladimir Feinberg commented on SPARK-16718: --- 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 -- 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
[jira] [Commented] (SPARK-16718) gbm-style treeboost
[ https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15392662#comment-15392662 ] Joseph K. Bradley commented on SPARK-16718: --- 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 -- 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
