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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-15882) Discuss distributed linear algebra in spark.ml package
Date Thu, 14 Jun 2018 00:31:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-15882?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16511845#comment-16511845
] 

Joseph K. Bradley commented on SPARK-15882:
-------------------------------------------

I'm afraid I don't have time to prioritize this work now.  It'd be awesome if others could
pick it up, but I'm having to step back a bit from this work at this time.

> Discuss distributed linear algebra in spark.ml package
> ------------------------------------------------------
>
>                 Key: SPARK-15882
>                 URL: https://issues.apache.org/jira/browse/SPARK-15882
>             Project: Spark
>          Issue Type: Brainstorming
>          Components: ML
>            Reporter: Joseph K. Bradley
>            Priority: Major
>
> This JIRA is for discussing how org.apache.spark.mllib.linalg.distributed.* should be
migrated to org.apache.spark.ml.
> Initial questions:
> * Should we use Datasets or RDDs underneath?
> * If Datasets, are there missing features needed for the migration?
> * Do we want to redesign any aspects of the distributed matrices during this move?



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