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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/06/29 13:53:04 UTC

[jira] [Commented] (SPARK-8703) Add CountVectorizer as a ml transformer to convert document to words count vector

    [ https://issues.apache.org/jira/browse/SPARK-8703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14605503#comment-14605503 ] 

Apache Spark commented on SPARK-8703:
-------------------------------------

User 'hhbyyh' has created a pull request for this issue:
https://github.com/apache/spark/pull/7084

> Add CountVectorizer as a ml transformer to convert document to words count vector
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-8703
>                 URL: https://issues.apache.org/jira/browse/SPARK-8703
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: yuhao yang
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> Converts a text document to a sparse vector of token counts.
> I can further add an estimator to extract vocabulary from corpus if that's appropriate.



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