[jira] [Commented] (SPARK-22586) Feature selection

["Jorge Gonzalez Lopez (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-22586?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16263498#comment-16263498 ] 

Jorge Gonzalez Lopez commented on SPARK-22586:
----------------------------------------------

Sorry, for posting on the wrong section. I'll forward the question to the mailing list.

> Feature selection 
> ------------------
>
>                 Key: SPARK-22586
>                 URL: https://issues.apache.org/jira/browse/SPARK-22586
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: Jorge Gonzalez Lopez
>            Priority: Minor
>
> Hello everyone, 
> I would like to know if there are plans to add different score functions to perform feature selection under the same interface. I saw two previous issues related to the topic:
> https://issues.apache.org/jira/browse/SPARK-6531
> https://issues.apache.org/jira/browse/SPARK-1473
> However, it seems nothing was added at the end. I would like to know if there was some problem then, because I wouldn't mind taking a closer look to it in case people would be interested. 
> Additionally, I think it would be interested to include a score metric between continuous attributes (for regression), and between continuous and discrete (for classification). This has already been done successfully on http://scikit-learn.org/stable/modules/feature_selection.html#univariate-feature-selection



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