[
https://issues.apache.org/jira/browse/SPARK-19535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15886897#comment-15886897
]
Apache Spark commented on SPARK-19535:
--------------------------------------
User 'sueann' has created a pull request for this issue:
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
>
> 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: [email protected]
For additional commands, e-mail: [email protected]
