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https://issues.apache.org/jira/browse/SPARK-14661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15243007#comment-15243007
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Apache Spark commented on SPARK-14661:
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User 'psuszyns' has created a pull request for this issue:
https://github.com/apache/spark/pull/12419
> Trim PCAModel by required explained variance
> --------------------------------------------
>
> Key: SPARK-14661
> URL: https://issues.apache.org/jira/browse/SPARK-14661
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 2.0.0
> 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.
> I already have almost ready code here:
> https://github.com/psuszyns/spark/commit/072e9b50c29047700c6482e2c718969d9f6d9753
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