[jira] [Created] (SPARK-17017) Add a chiSquare Selector based on False Positive Rate (FPR) test

["Peng Meng (JIRA)" <ji...@apache.org>]

Peng Meng created SPARK-17017:
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             Summary: 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
    Affects Versions: 2.0.0
            Reporter: Peng Meng
            Priority: Minor


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



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