spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-13857) Feature parity for ALS ML with MLLIB
Date Tue, 05 Apr 2016 20:44:25 GMT

    [ https://issues.apache.org/jira/browse/SPARK-13857?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15227103#comment-15227103
] 

Joseph K. Bradley commented on SPARK-13857:
-------------------------------------------

Linking [SPARK-14412] which is the only other missing item I know of for ALS

> Feature parity for ALS ML with MLLIB
> ------------------------------------
>
>                 Key: SPARK-13857
>                 URL: https://issues.apache.org/jira/browse/SPARK-13857
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Nick Pentreath
>            Assignee: Nick Pentreath
>
> Currently {{mllib.recommendation.MatrixFactorizationModel}} has methods {{recommendProducts/recommendUsers}}
for recommending top K to a given user / item, as well as {{recommendProductsForUsers/recommendUsersForProducts}}
to recommend top K across all users/items.
> Additionally, SPARK-10802 is for adding the ability to do {{recommendProductsForUsers}}
for a subset of users (or vice versa).
> Look at exposing or porting (as appropriate) these methods to ALS in ML. 
> Investigate if efficiency can be improved at the same time (see SPARK-11968).



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message