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Posted to dev@lucene.apache.org by "ASF subversion and git services (JIRA)" <ji...@apache.org> on 2017/05/11 14:27:04 UTC
[jira] [Commented] (LUCENE-7823) Have a naive bayes classifier
which uses plain BM25 scores instead of plain frequencies
[ https://issues.apache.org/jira/browse/LUCENE-7823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16006511#comment-16006511 ]
ASF subversion and git services commented on LUCENE-7823:
---------------------------------------------------------
Commit 89905001831de12dd8cb18647d3d54944899ccdf in lucene-solr's branch refs/heads/master from [~teofili]
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=8990500 ]
LUCENE-7823 - added bm25 nb classifier
> Have a naive bayes classifier which uses plain BM25 scores instead of plain frequencies
> ---------------------------------------------------------------------------------------
>
> Key: LUCENE-7823
> URL: https://issues.apache.org/jira/browse/LUCENE-7823
> Project: Lucene - Core
> Issue Type: Improvement
> Components: modules/classification
> Reporter: Tommaso Teofili
> Assignee: Tommaso Teofili
> Fix For: master (7.0)
>
>
> {{SimpleNaiveBayesClassifier}} users term frequencies with add one smoothing to calculate likelihood and just tf for prior. Given Lucene has switched to BM25 it would be better to have a different impl which uses BM25
> scoring as a probability measure of both prior and likelihood.
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