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https://issues.apache.org/jira/browse/MAHOUT-1626?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14579109#comment-14579109
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ASF GitHub Bot commented on MAHOUT-1626:
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Github user gcapan commented on the pull request:
https://github.com/apache/mahout/pull/62#issuecomment-110407430
It seems it does, let me try.
Thanks, Dmitriy
Sent from my iPhone
On Jun 8, 2015, at 23:31, Dmitriy Lyubimov <notificati...@github.com> wrote:
ok i introduced allreduceBlock() in #135
<https://github.com/apache/mahout/pull/135> but that, like spark's reduce,
ends up in the driver collection, and supports only tensor types which is
what i think we really should be constraining ourselves with (otherwise it
would create with serialization requirements to the engines). Everything
non-tensor and non-key i guess will have to be native engine code.
now, very speculatively, allreduceBlock (think spark's map+reduce on matrix
blocks) should cover what you are talking about.
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Reply to this email directly or view it on GitHub
<https://github.com/apache/mahout/pull/62#issuecomment-110128740>.
> Support for required quasi-algebraic operations and starting with aggregating
> rows/blocks
> -----------------------------------------------------------------------------------------
>
> Key: MAHOUT-1626
> URL: https://issues.apache.org/jira/browse/MAHOUT-1626
> Project: Mahout
> Issue Type: New Feature
> Components: Math
> Affects Versions: 1.0.0
> Reporter: Gokhan Capan
> Assignee: Gokhan Capan
> Labels: DSL, scala, spark
> Fix For: 0.11.0
>
>
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