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From "Nick Pentreath (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-4981) Add a streaming singular value decomposition
Date Fri, 18 Aug 2017 12:34:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-4981?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16132118#comment-16132118
] 

Nick Pentreath commented on SPARK-4981:
---------------------------------------

Hey folks, as interesting as this would be, I think it's fairly clear that it won't be moving
ahead any time soon (and furthermore any ML-on-Structured-Streaming is not imminent). Shall
we close this off?

> Add a streaming singular value decomposition
> --------------------------------------------
>
>                 Key: SPARK-4981
>                 URL: https://issues.apache.org/jira/browse/SPARK-4981
>             Project: Spark
>          Issue Type: New Feature
>          Components: DStreams, MLlib
>            Reporter: Jeremy Freeman
>
> This is for tracking WIP on a streaming singular value decomposition implementation.
This will likely be more complex than the existing streaming algorithms (k-means, regression),
but should be possible using the family of sequential update rule outlined in this paper:
> "Fast low-rank modifications of the thin singular value decomposition"
> by Matthew Brand
> http://www.stat.osu.edu/~dmsl/thinSVDtracking.pdf



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