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Sean Owen resolved SPARK-22871. ------------------------------- Resolution: Won't Fix > Add GBT+LR Algorithm in MLlib > ----------------------------- > > Key: SPARK-22871 > URL: https://issues.apache.org/jira/browse/SPARK-22871 > Project: Spark > Issue Type: New Feature > Components: MLlib > Affects Versions: 2.2.1 > Reporter: Fangzhou Yang > > GBTLRClassifier is a hybrid model of Gradient Boosting Trees and Logistic > Regression. > It is quite practical and popular in many data mining competitions. In this > hybrid model, input features are transformed by means of boosted decision > trees. The output of each individual tree is treated as a categorical input > feature to a sparse linear classifer. Boosted decision trees prove to be very > powerful feature transforms. > Model details about GBTLR can be found in the following paper: > <a href="https://dl.acm.org/citation.cfm?id=2648589">Practical Lessons from > Predicting Clicks on Ads at Facebook</a> -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org