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https://issues.apache.org/jira/browse/LUCENE-5699?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14106609#comment-14106609
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Tommaso Teofili commented on LUCENE-5699:
-----------------------------------------
thanks Michael, I've fixed the missing javadoc. For the question on backporting
to 4.0 I'm generally +1 on that, just this introduces a new API which needs
better testing (a patch covering it should be available in LUCENE-5698) before
merging into the stable branch IMHO.
> Lucene classification score calculation normalize and return lists
> ------------------------------------------------------------------
>
> Key: LUCENE-5699
> URL: https://issues.apache.org/jira/browse/LUCENE-5699
> Project: Lucene - Core
> Issue Type: Sub-task
> Components: modules/classification
> Reporter: Gergő Törcsvári
> Assignee: Tommaso Teofili
> Labels: gsoc2014
> Fix For: 5.0
>
> Attachments: 06-06-5699.patch, 0730.patch, 0803-base.patch,
> 0810-base.patch
>
>
> Now the classifiers can return only the "best matching" classes. If somebody
> want it to use more complex tasks he need to modify these classes for get
> second and third results too. If it is possible to return a list and it is
> not a lot resource why we dont do that? (We iterate a list so also.)
> The Bayes classifier get too small return values, and there were a bug with
> the zero floats. It was fixed with logarithmic. It would be nice to scale the
> class scores sum vlue to one, and then we coud compare two documents return
> score and relevance. (If we dont do this the wordcount in the test documents
> affected the result score.)
> With bulletpoints:
> * In the Bayes classification normalized score values, and return with result
> lists.
> * In the KNN classifier possibility to return a result list.
> * Make the ClassificationResult Comparable for list sorting.
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