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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19247) improve ml word2vec save/load
Date Tue, 17 Jan 2017 01:10:26 GMT

    [ 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.



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