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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-24283) Make standard scaler work without legacy MLlib
Date Wed, 01 Aug 2018 09:09:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-24283?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16565020#comment-16565020
] 

Apache Spark commented on SPARK-24283:
--------------------------------------

User 'sujithjay' has created a pull request for this issue:
https://github.com/apache/spark/pull/21942

> Make standard scaler work without legacy MLlib
> ----------------------------------------------
>
>                 Key: SPARK-24283
>                 URL: https://issues.apache.org/jira/browse/SPARK-24283
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.4.0
>            Reporter: holdenk
>            Priority: Trivial
>              Labels: starter
>
> Currently StandardScaler converts Spark ML vectors to MLlib vectors during prediction,
we should skip that step.



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