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https://issues.apache.org/jira/browse/MAHOUT-1529?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13988508#comment-13988508
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Dmitriy Lyubimov commented on MAHOUT-1529:
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yes it's cleaner but it is not even clear if it is achievable, and if it is, it
is expensive. Like i said, you are welcome to try -- if it works with Spark
identically to REPL, there will be no arguments not to use it in favor of REPL.
But my budget on this is very limited, so it is not most pragmatical path for
me to get things done.
> Finalize abstraction of distributed logical plans from backend operations
> -------------------------------------------------------------------------
>
> Key: MAHOUT-1529
> URL: https://issues.apache.org/jira/browse/MAHOUT-1529
> Project: Mahout
> Issue Type: Improvement
> Reporter: Dmitriy Lyubimov
> Fix For: 1.0
>
>
> We have a few situations when algorithm-facing API has Spark dependencies
> creeping in.
> In particular, we know of the following cases:
> (1) checkpoint() accepts Spark constant StorageLevel directly;
> (2) certain things in CheckpointedDRM;
> (3) drmParallelize etc. routines in the "drm" and "sparkbindings" package.
> (5) drmBroadcast returns a Spark-specific Broadcast object
> *Current tracker:*
> https://github.com/dlyubimov/mahout-commits/tree/MAHOUT-1529.
> *Pull requests are welcome*.
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