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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/03/15 15:47:41 UTC

[jira] [Commented] (SPARK-19962) add DictVectorizor for DataFrame

    [ https://issues.apache.org/jira/browse/SPARK-19962?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15926393#comment-15926393 ] 

Sean Owen commented on SPARK-19962:
-----------------------------------

Can you describe what this does, and give an example of input/output? I'm not sure what this describes or whether it already exists in Spark.

> add DictVectorizor for DataFrame
> --------------------------------
>
>                 Key: SPARK-19962
>                 URL: https://issues.apache.org/jira/browse/SPARK-19962
>             Project: Spark
>          Issue Type: Wish
>          Components: ML
>    Affects Versions: 2.1.0
>            Reporter: yu peng
>              Labels: features
>
> it's really useful to have something like sklearn.feature_extraction.DictVectorizor
> Since out features lives in json/data frame like format and classifier/regressors only take vector input. so there is a gap between them.



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