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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/10/01 20:12:21 UTC
[jira] [Resolved] (SPARK-17704) ChiSqSelector performance
improvement.
[ https://issues.apache.org/jira/browse/SPARK-17704?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-17704.
-------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15299
[https://github.com/apache/spark/pull/15299]
> 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
> 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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