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From "Nick Pentreath (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-20679) Let ML ALS recommend for a subset of users/items
Date Mon, 09 Oct 2017 08:44:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-20679?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Nick Pentreath resolved SPARK-20679.
------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.3.0

Issue resolved by pull request 18748
[https://github.com/apache/spark/pull/18748]

> Let ML ALS recommend for a subset of users/items
> ------------------------------------------------
>
>                 Key: SPARK-20679
>                 URL: https://issues.apache.org/jira/browse/SPARK-20679
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: Nick Pentreath
>             Fix For: 2.3.0
>
>
> SPARK-10802 is for {{mllib}}'s {{MatrixFactorizationModel}} to recommend for a subset
of user or item factors.
> Since {{mllib}} is in maintenance mode and {{ml}}'s {{ALSModel}} now supports the {{recommendForAllX}}
methods, this ticket tracks adding this functionality to {{ALSModel}}.



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