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https://issues.apache.org/jira/browse/LUCENE-5699?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14021231#comment-14021231
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Shawn Heisey commented on LUCENE-5699:
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bq. This patch is including all the mentioned features. It is contains some 
really ugly modification because of the auto-formating in eclipse and auto 
organizing imports.

Eclipse will not automatically reformat or organize imports unless you have 
changed its default configuration to turn these options on.  Can you re-do your 
changes and save without these options turned on?

It also looks like the some of the new formatting is using a different format 
specification than the one that comes with Lucene/Solr. The correct 
specification is automatically used when you run "ant eclipse" and import the 
project into eclipse.  Some of it looks correct, which is very odd.


> 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
>         Attachments: 06-06-5699.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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