[SPARK-16718] gbm-style treeboost

• Type: Sub-task
• Status: Resolved
• Priority: Major
• Resolution: Incomplete
• Component/s: MLlib
• Labels: bulk-closed
• Assignee: Vladimir Feinberg
• Reporter: Vladimir Feinberg
• Created: 25/Jul/16 20:52
• Updated: 21/May/19 04:37
• Resolved: 21/May/19 04:37

Description

.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

Issue Links

• links to: [Github] Pull Request #14547 (vlad17)