[ 
https://issues.apache.org/jira/browse/SPARK-19247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joseph K. Bradley reassigned SPARK-19247:
-----------------------------------------

    Assignee: Asher Krim

> Improve ml word2vec save/load scalability
> -----------------------------------------
>
>                 Key: SPARK-19247
>                 URL: https://issues.apache.org/jira/browse/SPARK-19247
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: Asher Krim
>            Assignee: Asher Krim
>
> ml word2vec models can be somewhat large (~4gb is not uncommon). The current 
> save implementation saves the model as a single large datum, which can cause 
> rpc issues and fail to save the model.
> On the loading side, there are issues with loading this large datum as well. 
> This was already solved for mllib word2vec in 
> https://issues.apache.org/jira/browse/SPARK-11994, but the change was never 
> ported to the ml word2vec implementation.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

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

Reply via email to