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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/05/17 13:29:04 UTC

[jira] [Resolved] (SPARK-14661) Trim PCAModel by required explained variance

     [ https://issues.apache.org/jira/browse/SPARK-14661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-14661.
-------------------------------
    Resolution: Won't Fix

> Trim PCAModel by required explained variance
> --------------------------------------------
>
>                 Key: SPARK-14661
>                 URL: https://issues.apache.org/jira/browse/SPARK-14661
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML, MLlib
>            Reporter: Piotr Suszyński
>            Priority: Trivial
>
> PCA is often used to trim the number of features by using the minimal variance retained by those features. It would be very convenient to have a method in PCAModel that would return a trimmed model, especially given that the PCAModel constructor is private so doing this somewhere in the user code is not possible.



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