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https://issues.apache.org/jira/browse/SPARK-6617?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15233025#comment-15233025
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Joseph K. Bradley edited comment on SPARK-6617 at 4/8/16 10:32 PM:
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[~mengxr] Does this still need to stay open?
was (Author: josephkb):
[~mengxr] Does this still need to stay open? Is this issue with numerical
precision only, or does partitioning play a bigger role than that? (I haven't
looked into the implementation deeply.)
> Word2Vec is nondeterministic
> ----------------------------
>
> Key: SPARK-6617
> URL: https://issues.apache.org/jira/browse/SPARK-6617
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.3.0
> Reporter: Xiangrui Meng
> Priority: Minor
>
> Word2Vec uses repartition:
> https://github.com/apache/spark/blob/v1.3.0/mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala#L291,
> which doesn't provide deterministic ordering. This makes QA a little harder.
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