[
https://issues.apache.org/jira/browse/MAHOUT-826?focusedWorklogId=1000347&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-1000347
]
ASF GitHub Bot logged work on MAHOUT-826:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 15/Jan/26 17:29
Start Date: 15/Jan/26 17:29
Worklog Time Spent: 10m
Work Description: guan404ming merged PR #832:
URL: https://github.com/apache/mahout/pull/832
Issue Time Tracking
-------------------
Worklog Id: (was: 1000347)
Time Spent: 1h 20m (was: 1h 10m)
> Bayes/CBayes classification on a non-existing feature
> -----------------------------------------------------
>
> Key: MAHOUT-826
> URL: https://issues.apache.org/jira/browse/MAHOUT-826
> Project: Mahout
> Issue Type: Bug
> Affects Versions: 0.5
> Reporter: Andre-Philippe Paquet
> Assignee: Robin Anil
> Priority: Minor
> Fix For: 0.7
>
> Attachments: mahout-826.patch, mahout-826.patch
>
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> (see http://comments.gmane.org/gmane.comp.apache.mahout.user/9597)
> Using CBayes or Bayes, when trying to classify a feature/word that doesn't
> exist in the model, instead of returning the default/unknown label, the
> algorithm returns all labels with a constant score (ex: 12.386649147018964).
> After a quick look in CBayesAlgorithm, I found the problem in the
> featureWeight function that returns the theta normalized weight even if the
> feature didn't have any match (result=0).
> As a fix, I overrided the function in a subclass and return 0 if the weight
> of the current feature in the current label is 0.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
