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https://issues.apache.org/jira/browse/MAHOUT-1464?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13974188#comment-13974188
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Pat Ferrel commented on MAHOUT-1464:
------------------------------------
It looks like our setups are pretty much identical as far as I can tell. The
primary difference is in using the IDE to launch and that may be causing the
problem.
Therefore I'll put the testing aside for awhile and work on getting Dmitriy's
Spark Scala shell working since we know that write from there is working--at
least writeDRM is.
As I've said, it looks like the cluster cooccurrence computation (both cross
and self similarity) is being executed properly on the epinions data but I'm
unable to get a file output.
> Cooccurrence Analysis on Spark
> ------------------------------
>
> Key: MAHOUT-1464
> URL: https://issues.apache.org/jira/browse/MAHOUT-1464
> Project: Mahout
> Issue Type: Improvement
> Components: Collaborative Filtering
> Environment: hadoop, spark
> Reporter: Pat Ferrel
> Assignee: Sebastian Schelter
> Fix For: 1.0
>
> Attachments: MAHOUT-1464.patch, MAHOUT-1464.patch, MAHOUT-1464.patch,
> MAHOUT-1464.patch, MAHOUT-1464.patch, MAHOUT-1464.patch, run-spark-xrsj.sh
>
>
> Create a version of Cooccurrence Analysis (RowSimilarityJob with LLR) that
> runs on Spark. This should be compatible with Mahout Spark DRM DSL so a DRM
> can be used as input.
> Ideally this would extend to cover MAHOUT-1422. This cross-cooccurrence has
> several applications including cross-action recommendations.
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