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https://issues.apache.org/jira/browse/OPENNLP-641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13920970#comment-13920970
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Joern Kottmann commented on OPENNLP-641:
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The beam size parameters can now be specified during training time. We still
need to see how we maintain backward compatibility with users, who set it
manually before.
I suggest that if the user trained a MaxentModel, then the passed in beam size
parameter will be used, if the model, doesn't contain a beam size parameter.
All constructors taking the beam size should be deprecated.
> Add sequence classification support
> -----------------------------------
>
> Key: OPENNLP-641
> URL: https://issues.apache.org/jira/browse/OPENNLP-641
> Project: OpenNLP
> Issue Type: Improvement
> Components: Machine Learning
> Reporter: Joern Kottmann
> Assignee: Joern Kottmann
> Fix For: 1.6.0
>
>
> The current machine learning integration doesn't support sequence models.
> That are models which classify an entire sequence at once compared to the
> classification support we have right now which can only make a single
> decision at a time.
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