[jira] [Commented] (SPARK-22586) Feature selection
[ https://issues.apache.org/jira/browse/SPARK-22586?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=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 -- 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
[jira] [Updated] (SPARK-22586) Feature selection
[ https://issues.apache.org/jira/browse/SPARK-22586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jorge Gonzalez Lopez updated SPARK-22586: - Environment: (was: 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 > -- 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
[jira] [Created] (SPARK-22586) Feature selection
Jorge Gonzalez Lopez created SPARK-22586: Summary: 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 Environment: 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 Reporter: Jorge Gonzalez Lopez Priority: Minor -- 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
[jira] [Updated] (SPARK-22586) Feature selection
[ https://issues.apache.org/jira/browse/SPARK-22586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jorge Gonzalez Lopez updated SPARK-22586: - 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 -- 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
