[ https://issues.apache.org/jira/browse/SPARK-24473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-24473. ---------------------------------- Resolution: Incomplete > It is no need to clip the predictive value by maxValue and minValue when > computing gradient on SVDplusplus model > ---------------------------------------------------------------------------------------------------------------- > > Key: SPARK-24473 > URL: https://issues.apache.org/jira/browse/SPARK-24473 > Project: Spark > Issue Type: Bug > Components: GraphX > Affects Versions: 2.3.0 > Reporter: caijianming > Priority: Major > Labels: bulk-closed > > I think it is no need to clip the predictive value. It will change the convex > loss function to non-convex, which might have a bad influence on convergence. > Other famous recommender systems and original paper also do not include this > step. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org