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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-15009) PySpark CountVectorizerModel should be able to construct from vocabulary list
Date Wed, 01 Feb 2017 19:52:51 GMT

    [ https://issues.apache.org/jira/browse/SPARK-15009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15848860#comment-15848860
] 

Apache Spark commented on SPARK-15009:
--------------------------------------

User 'BryanCutler' has created a pull request for this issue:
https://github.com/apache/spark/pull/16770

> 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
>            Priority: Minor
>
> 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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