[ https://issues.apache.org/jira/browse/SPARK-4111?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng resolved SPARK-4111. ---------------------------------- Resolution: Fixed Fix Version/s: 1.2.0 Issue resolved by pull request 2978 [https://github.com/apache/spark/pull/2978] > [MLlib] Implement regression model evaluation metrics > ----------------------------------------------------- > > Key: SPARK-4111 > URL: https://issues.apache.org/jira/browse/SPARK-4111 > Project: Spark > Issue Type: New Feature > Components: MLlib > Affects Versions: 1.2.0 > Reporter: Yanbo Liang > Assignee: Yanbo Liang > Fix For: 1.2.0 > > > Supervised machine learning include classification and regression. There is > classification metrics (BinaryClassificationMetrics) in MLlib, we also need > regression metrics to evaluate the regression model and tunning parameter. -- 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