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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/11/22 22:45:00 UTC
[jira] [Resolved] (SPARK-22586) Feature selection
[ https://issues.apache.org/jira/browse/SPARK-22586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-22586.
-------------------------------
Resolution: Invalid
This should be a question for 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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