[jira] [Updated] (SPARK-17704) ChiSqSelector performance improvement.

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17704?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen updated SPARK-17704:
------------------------------
    Priority: Minor  (was: Major)

> ChiSqSelector performance improvement.
> --------------------------------------
>
>                 Key: SPARK-17704
>                 URL: https://issues.apache.org/jira/browse/SPARK-17704
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>            Reporter: Yanbo Liang
>            Priority: Minor
>             Fix For: 2.1.0
>
>
> Several performance improvement for {{ChiSqSelector}}:
> 1, Keep {{selectedFeatures}} ordered ascendent.
> {{ChiSqSelectorModel.transform}} need {{selectedFeatures}} ordered to make prediction. We should sort it when training model rather than making prediction, since users usually train model once and use the model to do prediction multiple times. 
> 2, When training {{fpr}} type {{ChiSqSelectorModel}}, it's not necessary to sort the ChiSq test result by statistic.



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