spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-17017) Add a chiSquare Selector based on False Positive Rate (FPR) test
Date Fri, 23 Sep 2016 12:04:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-17017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15516254#comment-15516254
] 

Apache Spark commented on SPARK-17017:
--------------------------------------

User 'yanboliang' has created a pull request for this issue:
https://github.com/apache/spark/pull/15214

> Add a chiSquare Selector based on False Positive Rate (FPR) test
> ----------------------------------------------------------------
>
>                 Key: SPARK-17017
>                 URL: https://issues.apache.org/jira/browse/SPARK-17017
>             Project: Spark
>          Issue Type: New Feature
>            Reporter: Peng Meng
>            Assignee: Peng Meng
>            Priority: Minor
>             Fix For: 2.1.0
>
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> Univariate feature selection works by selecting the best features based on univariate
statistical tests. False Positive Rate (FPR) is a popular univariate statistical test for
feature selection. Is it necessary to add a chiSquare Selector based on False Positive Rate
(FPR) test, like it is implemented in scikit-learn. 
> http://scikit-learn.org/stable/modules/feature_selection.html#univariate-feature-selection



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message