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https://issues.apache.org/jira/browse/SOLR-651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Grant Ingersoll updated SOLR-651:
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Attachment: SOLR-651.patch
Here's a start at making this support distributed. Still needs testing. I'm
not sure if I'm doing the distributed right, but there ain't a whole lot of
docs on it just yet, so I'm going based off of what I see in the other
components. I'm especially not clear if I am understanding the stages
correctly.
Also, would be handy if there was a better way of testing the distributed
stuff. So far, I call directly into the component to call distributedProcess,
but would also be nice to have a harness that does what TestDistributedSearch
does (i.e. setup a couple of Jetty instances and actually run them)
> A SearchComponent for fetching TF-IDF values
> --------------------------------------------
>
> Key: SOLR-651
> URL: https://issues.apache.org/jira/browse/SOLR-651
> Project: Solr
> Issue Type: New Feature
> Affects Versions: 1.3
> Reporter: Noble Paul
> Assignee: Grant Ingersoll
> Priority: Minor
> Fix For: 1.4
>
> Attachments: SOLR-651.patch, SOLR-651.patch, SOLR-651.patch
>
>
> A SearchComponent that can return TF-IDF vector for any given document in the
> SOLR index
> Query : A Document Number / a query identifying a Document
> Response : A Map of term vs.TF-IDF value of every term in the Selected
> Document
> Why ?
> Most of the Machine Learning Algorithms work on TFIDF representation of
> documents, hence adding a Request Handler proving the TFIDF representation
> will pave the way for incorporating Learning Paradigms to SOLR framework.
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