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https://issues.apache.org/jira/browse/SPARK-15009?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-15009.
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Resolution: Fixed
Fix Version/s: 2.4.0
Target Version/s: 2.4.0
Thanks for fixing this Bryan!
> PySpark CountVectorizerModel should be able to construct from vocabulary list
> -----------------------------------------------------------------------------
>
> Key: SPARK-15009
> URL: https://issues.apache.org/jira/browse/SPARK-15009
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Reporter: Bryan Cutler
> Assignee: Bryan Cutler
> Priority: Minor
> Fix For: 2.4.0
>
>
> Like the Scala version, PySpark CountVectorizerModel should be able to
> construct the model from given a vocabulary list.
> For example
> {noformat}
> cvm = CountVectorizerModel(["a", "b", "c"])
> {noformat}
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