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https://issues.apache.org/jira/browse/OPENNLP-154?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13044736#comment-13044736
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Jörn Kottmann commented on OPENNLP-154:
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Can we do the following to fix the issue:
- Determine the maximum absolute prior value
- Divide all priors by the maximum value
This will result in priors ranging from -1 to 1 on which
we can safely perform the current normalization.
> normalization in perceptron
> ---------------------------
>
> Key: OPENNLP-154
> URL: https://issues.apache.org/jira/browse/OPENNLP-154
> Project: OpenNLP
> Issue Type: Bug
> Components: Maxent
> Affects Versions: maxent-3.0.1-incubating
> Reporter: Jason Baldridge
> Assignee: Jason Baldridge
> Priority: Minor
> Fix For: tools-1.5.2-incubating, maxent-3.0.2-incubating
>
> Original Estimate: 0h
> Remaining Estimate: 0h
>
> I found some issues with the way perceptron output was normalized. It was
> sort of a strange way to handle negative numbers that didn't really work.
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