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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (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:all-tabpanel
]

Apache Spark reassigned SPARK-24283:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>            Priority: Trivial
>              Labels: starter
>
> Currently StandardScaler converts Spark ML vectors to MLlib vectors during prediction,
we should skip that step.



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