[ https://issues.apache.org/jira/browse/SPARK-19535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley resolved SPARK-19535. --------------------------------------- Resolution: Fixed Fix Version/s: 2.2.0 Issue resolved by pull request 17090 [https://github.com/apache/spark/pull/17090] > ALSModel recommendAll analogs > ----------------------------- > > Key: SPARK-19535 > URL: https://issues.apache.org/jira/browse/SPARK-19535 > Project: Spark > Issue Type: New Feature > Components: ML > Affects Versions: 2.2.0 > Reporter: Joseph K. Bradley > Assignee: Sue Ann Hong > Fix For: 2.2.0 > > > Add methods analogous to the spark.mllib MatrixFactorizationModel methods > recommendProductsForUsers/UsersForProducts. > The initial implementation should be very simple, using DataFrame joins. > Future work can add optimizations. > I recommend naming them: > * recommendForAllUsers > * recommendForAllItems -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org