[
https://issues.apache.org/jira/browse/SPARK-19247?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15824807#comment-15824807
]
Joseph K. Bradley commented on SPARK-19247:
-------------------------------------------
Is this an actual problem? If this is just a nicety, I would prefer not to
change it until after we put it unit tests for backwards compatibility
(SPARK-15573)
> improve ml word2vec save/load
> -----------------------------
>
> Key: SPARK-19247
> URL: https://issues.apache.org/jira/browse/SPARK-19247
> Project: Spark
> Issue Type: Bug
> Reporter: 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
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
