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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/01/16 16:31:26 UTC

[jira] [Assigned] (SPARK-19247) improve ml word2vec save/load

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

Apache Spark reassigned SPARK-19247:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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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