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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 -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org