[
https://issues.apache.org/jira/browse/SPARK-22871?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
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: [email protected]
For additional commands, e-mail: [email protected]
