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https://issues.apache.org/jira/browse/OPENNLP-155?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13025025#comment-13025025
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Jason Baldridge commented on OPENNLP-155:
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That would be fine to do. This is a check that approximates whether the
parameters have remained stable for multiple iterations. It would probably
be better to allow equality plus or minus a small delta.
2011/4/22 Jörn Kottmann (JIRA) <[email protected]>
--
Jason Baldridge
Assistant Professor, Department of Linguistics
The University of Texas at Austin
http://www.jasonbaldridge.com
http://twitter.com/jasonbaldridge
> unreliable training set accuracy in perceptron
> ----------------------------------------------
>
> Key: OPENNLP-155
> URL: https://issues.apache.org/jira/browse/OPENNLP-155
> Project: OpenNLP
> Issue Type: Improvement
> Components: Maxent
> Affects Versions: maxent-3.0.1-incubating
> Reporter: Jason Baldridge
> Assignee: Jason Baldridge
> Priority: Minor
> Original Estimate: 0h
> Remaining Estimate: 0h
>
> The training accuracies reported during perceptron training were much higher
> than final training accuracy, which turned out to be an artifact of the way
> training examples were ordered.
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