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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/09/28 08:11:20 UTC

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

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

Apache Spark reassigned SPARK-17704:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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
>
> 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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