[jira] Commented: (LUCENE-901) DefaultSimilarity.queryNorm() should never return Infinity

["Hoss Man (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/LUCENE-901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12500576 ] 

Hoss Man commented on LUCENE-901:
---------------------------------

I'm not sure if i agree with this concept. Do we really want the curve of values from queryNorm to have a step drop down from really *huge* values when sumOfSquaredWeights is "near" zero to "1" when sumOfSquaredWeights becomes so close to zero it can only be represented as 0.0f ?

Float.MAX_VALUE seems like a better choice then 1, but I haven't really thought through wether or not that will still trigger NaN scores.

> DefaultSimilarity.queryNorm() should never return Infinity
> ----------------------------------------------------------
>
>                 Key: LUCENE-901
>                 URL: https://issues.apache.org/jira/browse/LUCENE-901
>             Project: Lucene - Java
>          Issue Type: Bug
>          Components: Search
>            Reporter: Michael Busch
>            Priority: Trivial
>
> Currently DefaultSimilarity.queryNorm() returns Infinity if sumOfSquaredWeights=0.
> This can result in a score of NaN (e. g. in TermScorer) if boost=0.0f.
> A simple fix would be to return 1.0f in case zero is passed in.
> See LUCENE-698 for discussions about this.

-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.


---------------------------------------------------------------------
To unsubscribe, e-mail: java-dev-unsubscribe@lucene.apache.org
For additional commands, e-mail: java-dev-help@lucene.apache.org