You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@lucene.apache.org by "Tommaso Teofili (JIRA)" <ji...@apache.org> on 2017/05/15 12:17:04 UTC
[jira] [Resolved] (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:all-tabpanel ]
Tommaso Teofili resolved LUCENE-7823.
-------------------------------------
Resolution: Fixed
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@lucene.apache.org
For additional commands, e-mail: dev-help@lucene.apache.org