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https://issues.apache.org/jira/browse/LUCENE-3174?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13047954#comment-13047954
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David Mark Nemeskey commented on LUCENE-3174:
---------------------------------------------

Ok, let's go with EasySimilarity then.

TODOs (according to the irc chat):
- move sumOfSquaredWeights() and normalize to Stats, so that Weight doesn't 
need to know about IDF
- rename sumOfSquaredWeights()
- make BooleanWeight & friends independent of the normalization method? 
(currently BooleanWeight expects the sqrt() in DefaultSimilarityProvider).

> Similarity.Stats class for term & collection statistics
> -------------------------------------------------------
>
>                 Key: LUCENE-3174
>                 URL: https://issues.apache.org/jira/browse/LUCENE-3174
>             Project: Lucene - Java
>          Issue Type: Sub-task
>          Components: core/search
>    Affects Versions: flexscoring branch
>            Reporter: David Mark Nemeskey
>            Assignee: David Mark Nemeskey
>            Priority: Minor
>             Fix For: flexscoring branch
>
>         Attachments: LUCENE-3174.patch, LUCENE-3174.patch
>
>
> In order to support ranking methods besides TF-IDF, we need to make the 
> statistics they need available. These statistics could be computed in 
> computeWeight (soon to become computeStats) and stored in a separate object 
> for easy access. Since this object will be used solely by subclasses of 
> Similarity, it should be implented as a static inner class, i.e. 
> Similarity.Stats.
> There are two ways this could be implemented:
> - as a single Similarity.Stats class, reused by all ranking algorithms. In 
> this case, this class would have a member field for all statistics;
> - as a hierarchy of Stats classes, one for each ranking algorithm. Each 
> subclass would define only the statistics needed for the ranking algorithm.
> In the second case, the Stats class in DefaultSimilarity would have a single 
> field, idf, while the one in e.g. BM25Similarity would have idf and average 
> field/document length.

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