[ https://issues.apache.org/jira/browse/SPARK-10535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Davies Liu resolved SPARK-10535. -------------------------------- Resolution: Fixed Fix Version/s: 1.6.0 Issue resolved by pull request 8700 [https://github.com/apache/spark/pull/8700] > Support for recommendUsersForProducts and recommendProductsForUsers in > matrix factorization model for PySpark > -------------------------------------------------------------------------------------------------------------- > > Key: SPARK-10535 > URL: https://issues.apache.org/jira/browse/SPARK-10535 > Project: Spark > Issue Type: New Feature > Components: MLlib, PySpark > Affects Versions: 1.4.1, 1.5.0 > Reporter: Vladimir Vladimirov > Assignee: Vladimir Vladimirov > Fix For: 1.6.0 > > > Scala and Java API provides recommendUsersForProducts > recommendProductsForUsers methods, but PySpark MLlib API doesn't have them. -- 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