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https://issues.apache.org/jira/browse/SOLR-651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12642157#action_12642157
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Grant Ingersoll commented on SOLR-651:
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{quote}
If the user has asked for tf=true&idf=true user implies give me both computation
so the output would be
<float name="display">1.0</float>
{quote}
Ah, so you are expecting Solr to do the computation tf*idf when you specify
those two options, right? My interpretations (and implmentation) is that it
means return those two values in the response. See
http://wiki.apache.org/solr/TermVectorComponentExampleOptions
I suppose we could add something like &tf-idf=true in which case Solr does the
computation. Otherwise, I think it is useful to be able to deliver them
separately, as I think it gives the most flexibility. Would adding a tf-idf
option suit your needs? Such that, when it is true, Solr returns that
computation?
> 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,
> 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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