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https://issues.apache.org/jira/browse/MAHOUT-1693?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14506421#comment-14506421
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ASF GitHub Bot commented on MAHOUT-1693:
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GitHub user andrewpalumbo opened a pull request:
https://github.com/apache/mahout/pull/123
MAHOUT-1693: Override toString() in AbstractMatrix using VectorView: 0.10.x
branch
already pushed to master
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/andrewpalumbo/mahout mahout-0.10.x-MAHOUT-1693
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/mahout/pull/123.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #123
----
commit 1291a519f5e3857eed15e1127acdbb70479cff09
Author: Andrew Palumbo <[email protected]>
Date: 2015-04-22T04:09:37Z
use Override toString() using VectorView
----
> FunctionalMatrixView materializes row vectors in scala shell
> ------------------------------------------------------------
>
> Key: MAHOUT-1693
> URL: https://issues.apache.org/jira/browse/MAHOUT-1693
> Project: Mahout
> Issue Type: Bug
> Components: Mahout spark shell, Math
> Affects Versions: 0.10.0
> Reporter: Suneel Marthi
> Assignee: Andrew Palumbo
> Priority: Blocker
> Fix For: 0.10.1
>
>
> FunctionalMatrixView materializes row vectors in scala shell.
> Problem first reported by a user Michael Alton, Intel:
> "When I first tried to make a large matrix, I got an out of Java heap space
> error. I increased the memory incrementally until I got it to work. “export
> MAHOUT_HEAPSIZE=8000” didn’t work, but “export MAHOUT_HEAPSIZE=64000” did.
> The question is why do we need so much memory? A 5000x5000 matrix of doubles
> should only take up ~200MB of space?"
> Problem has been narrowed down to not override toString() method in
> FunctionalMatrixView which causes it to materialize all of the row vectors
> when run in Mahout Spark Shell.
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