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https://issues.apache.org/jira/browse/LUCENE-4782?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13583060#comment-13583060
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Tommaso Teofili commented on LUCENE-4782:
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thanks Robert, that may make sense but I'm not really sure as in 4.x we still
support 3x codecs in general.
Also I noticed that other methods used in the classification module that depend
on the underlying codec may return -1 (unsupported).
I'll have a deeper look and see if it really make sense to 'fallback' such
calls or either it'd be safer and reasonable to follow your suggestion.
> Let the NaiveBayes classifier have a fallback docCount method if codec
> doesn't support Terms#docCount()
> -------------------------------------------------------------------------------------------------------
>
> Key: LUCENE-4782
> URL: https://issues.apache.org/jira/browse/LUCENE-4782
> Project: Lucene - Core
> Issue Type: Bug
> Components: modules/classification
> Reporter: Tommaso Teofili
> Assignee: Tommaso Teofili
> Fix For: 4.2, 5.0
>
>
> In _SimpleNaiveBayesClassifier_ _docsWithClassSize_ variable is initialized
> to _MultiFields.getTerms(this.atomicReader,
> this.classFieldName).getDocCount()_ which may be -1 if the codec doesn't
> support doc counts, therefore there should be an alternative way to
> initialize such a variable with the documents count.
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