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https://issues.apache.org/jira/browse/SPARK-6227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath resolved SPARK-6227.
-----------------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17621
[https://github.com/apache/spark/pull/17621]
> PCA and SVD for PySpark
> -----------------------
>
> Key: SPARK-6227
> URL: https://issues.apache.org/jira/browse/SPARK-6227
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, PySpark
> Affects Versions: 1.2.1
> Reporter: Julien Amelot
> Assignee: Manoj Kumar
> Fix For: 2.2.0
>
>
> The Dimensionality Reduction techniques are not available via Python (Scala +
> Java only).
> * Principal component analysis (PCA)
> * Singular value decomposition (SVD)
> Doc:
> http://spark.apache.org/docs/1.2.1/mllib-dimensionality-reduction.html
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