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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/08/01 09:09:00 UTC
[jira] [Commented] (SPARK-24283) Make standard scaler work without
legacy MLlib
[ 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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