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Posted to issues@spark.apache.org by "Huaxin Gao (Jira)" <ji...@apache.org> on 2020/03/22 06:02:00 UTC

[jira] [Updated] (SPARK-31185) implement VarianceThresholdSelector

     [ https://issues.apache.org/jira/browse/SPARK-31185?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Huaxin Gao updated SPARK-31185:
-------------------------------
    Issue Type: New Feature  (was: Bug)

> implement VarianceThresholdSelector
> -----------------------------------
>
>                 Key: SPARK-31185
>                 URL: https://issues.apache.org/jira/browse/SPARK-31185
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>    Affects Versions: 3.1.0
>            Reporter: Huaxin Gao
>            Assignee: Huaxin Gao
>            Priority: Major
>             Fix For: 3.1.0
>
>
> Implement a Feature selector that removes all low-variance features. Features with a
>  variance lower than the threshold will be removed. The default is to keep all features with non-zero variance, i.e. remove the features that have the same value in all samples.



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