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https://issues.apache.org/jira/browse/SPARK-28081?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-28081.
-------------------------------
Resolution: Fixed
Fix Version/s: 2.4.4
2.3.4
3.0.0
Issue resolved by pull request 24893
[https://github.com/apache/spark/pull/24893]
> word2vec 'large' count value too low for very large corpora
> -----------------------------------------------------------
>
> Key: SPARK-28081
> URL: https://issues.apache.org/jira/browse/SPARK-28081
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.4.3
> Reporter: Sean Owen
> Assignee: Sean Owen
> Priority: Minor
> Fix For: 3.0.0, 2.3.4, 2.4.4
>
>
> The word2vec implementation operates on word counts, and uses a hard-coded
> value of 1e9 to mean "a very large count, larger than any actual count".
> However this causes the logic to fail if, in fact, a large corpora has some
> words that really do occur more than this many times. We can probably improve
> the implementation to better handle very large counts in general.
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