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Posted to issues@spark.apache.org by "Peng Meng (JIRA)" <ji...@apache.org> on 2016/08/02 03:04:20 UTC

[jira] [Updated] (SPARK-16843) Select features according to a percentile of the highest scores of ChiSqSelector

     [ https://issues.apache.org/jira/browse/SPARK-16843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Peng Meng updated SPARK-16843:
------------------------------
    Affects Version/s:     (was: 2.0.0)
                       2.1.0

> Select features according to a percentile of the highest scores of ChiSqSelector
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-16843
>                 URL: https://issues.apache.org/jira/browse/SPARK-16843
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>    Affects Versions: 2.1.0
>            Reporter: Peng Meng
>            Priority: Minor
>             Fix For: 2.0.1
>
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> It would be handy to add a percentile Param to ChiSqSelector, as in the scikit-learn one: http://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html



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