[ https://issues.apache.org/jira/browse/SPARK-9493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-9493: --------------------------------- Shepherd: Joseph K. Bradley > Chain logistic regression with isotonic regression under the pipeline API > ------------------------------------------------------------------------- > > Key: SPARK-9493 > URL: https://issues.apache.org/jira/browse/SPARK-9493 > Project: Spark > Issue Type: Improvement > Components: ML > Affects Versions: 1.5.0 > Reporter: Xiangrui Meng > Assignee: Xiangrui Meng > > One use case of isotonic regression is to calibrate the probabilities output > by logistic regression. We should make this easier in the pipeline API. -- 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