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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:04:26 UTC

[jira] [Updated] (SPARK-17934) Support percentile scale in ml.feature

     [ https://issues.apache.org/jira/browse/SPARK-17934?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-17934:
---------------------------------
    Labels: bulk-closed  (was: )

> Support percentile scale in ml.feature
> --------------------------------------
>
>                 Key: SPARK-17934
>                 URL: https://issues.apache.org/jira/browse/SPARK-17934
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Lei Wang
>            Priority: Major
>              Labels: bulk-closed
>
> Percentile scale is often used in feature scale.
> In my project, I need to use this scaler.
> Compared to MinMaxScaler, PercentileScaler will not produce unstable result due to anomaly large value.
> About percentile scale, refer to https://en.wikipedia.org/wiki/Percentile_rank



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