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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-6227) PCA and SVD for PySpark
Date Wed, 05 Aug 2015 18:05:06 GMT

     [ https://issues.apache.org/jira/browse/SPARK-6227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiangrui Meng updated SPARK-6227:
---------------------------------
    Target Version/s: 1.6.0

> PCA and SVD for PySpark
> -----------------------
>
>                 Key: SPARK-6227
>                 URL: https://issues.apache.org/jira/browse/SPARK-6227
>             Project: Spark
>          Issue Type: Sub-task
>          Components: MLlib, PySpark
>    Affects Versions: 1.2.1
>            Reporter: Julien Amelot
>
> 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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