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From "yuhao yang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-8703) Add CountVectorizer as a ml transformer to convert document to words count vector
Date Tue, 30 Jun 2015 03:13:04 GMT

    [ https://issues.apache.org/jira/browse/SPARK-8703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14606909#comment-14606909
] 

yuhao yang commented on SPARK-8703:
-----------------------------------

Appreciate the suggestion. I've sent an update to use the extension. 

> 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. 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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