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https://issues.apache.org/jira/browse/MAHOUT-1420?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13918266#comment-13918266
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Pat Ferrel commented on MAHOUT-1420:
------------------------------------
If you want the code to be available on some committer's machine to fiddle with
before you commit (don't know your process). By far the easiest is to fork the
github repo and clone that to mahout-examples. It is self contained, with it's
own POM and script for running it.
If that sounds good, I'll change the packaging to reflect Apache ownership and
send you a link to the repo.
However you may want to consider a different way to approach this with several
more integrated patches:
1) We need a cross-RSJ created MAHOUT-1422. I'd suppose you would be the person
for the job and rumor has it that you will be very busy shortly.
2) I will integrate the cross-RSJ into the XRecommmenderJob, a parallel job to
RecommenderJob, this would be a single patch.
3) The code to use RecommenderJob and XRecommenderJob taking log file input and
generating Solr digestible output would be slightly refactored and would be a
second patch to be put in mahout-examples.
If we did it this way Mahout would end up with an XRSJ, XRecommenderJob
(written but uses matrix multiply and transpose instead of proposed XRSJ),
PrepareActionMatricesJob (already written), example input from log file code
(written), and output that takes DRMS to create Solr input (written).
This method of getting things integrated would be cleaner but is somewhat
dependant on #1.
Let me know how to proceed or if you want to IM, I use my occamsmachete email
address on Google Talk.
> Add solr-recommender to examples
> --------------------------------
>
> Key: MAHOUT-1420
> URL: https://issues.apache.org/jira/browse/MAHOUT-1420
> Project: Mahout
> Issue Type: New Feature
> Components: Examples
> Affects Versions: 0.9
> Reporter: Andrew Musselman
> Assignee: Andrew Musselman
> Priority: Minor
> Fix For: 1.0
>
>
> Write a new example that builds a solr-recommender based on Pat's code at
> https://github.com/pferrel/solr-recommender and which has the glue scripts
> needed to pipe all the way from start(raw data) to finish(running web service
> and UI page).
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