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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/09/10 17:44:45 UTC
[jira] [Assigned] (SPARK-10535) Support for
recommendUsersForProducts and recommendProductsForUsers in matrix
factorization model for PySpark
[ https://issues.apache.org/jira/browse/SPARK-10535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-10535:
------------------------------------
Assignee: Apache Spark
> 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: Improvement
> Components: MLlib, PySpark
> Affects Versions: 1.4.1
> Reporter: Vladimir Vladimirov
> Assignee: Apache Spark
>
> Scala and Java API provides recommendUsersForProducts recommendProductsForUsers methods, but PySpark MLlib API doesn't have them.
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