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https://issues.apache.org/jira/browse/SPARK-22586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jorge Gonzalez Lopez updated SPARK-22586:
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Description:
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
> 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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