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

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-8703.
--------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.0

Issue resolved by pull request 7084
[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
>            Assignee: yuhao yang
>             Fix For: 1.5.0
>
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> Converts a text document to a sparse vector of token counts. Similar to http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html
> I can further add an estimator to extract vocabulary from corpus if that's appropriate.



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