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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-7823) Have a naive bayes classifier which uses plain BM25 scores instead of plain frequencies
Date Fri, 07 Jul 2017 10:17:00 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-7823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16077912#comment-16077912
] 

ASF subversion and git services commented on LUCENE-7823:
---------------------------------------------------------

Commit 25229f21ec7b7d79c9fd7408e88290de29065672 in lucene-solr's branch refs/heads/branch_7_0
from [~teofili]
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=25229f2 ]

LUCENE-7823, LUCENE-7838 - added missing entires in changes.txt

(cherry picked from commit 8ccb61c)


> 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: 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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