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https://issues.apache.org/jira/browse/SPARK-6227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14647893#comment-14647893
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K S Sreenivasa Raghavan commented on SPARK-6227:
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Hi,
I have worked with pySpark in EdX courses. The course coordinators distributed
some sparkVM to all participants of the course. I am interested in developing
this package. I have even learnt scala. I have few doubts:
1. Please give me proper steps to install spark on my ubuntu desktop as I have
no idea how to modify the spark code in VM. I tried all the methods given (as
given by google search), But they failed.
2. For Pyspark, where should we write/ modify the codes?
> 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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