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Posted to issues@opennlp.apache.org by "Jörn Kottmann (JIRA)" <ji...@apache.org> on 2011/08/22 12:29:29 UTC

[jira] [Created] (OPENNLP-258) Refactor cross validation and training code to always use the new Training Parameters object

Refactor cross validation and training code to always use the new Training Parameters object
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                 Key: OPENNLP-258
                 URL: https://issues.apache.org/jira/browse/OPENNLP-258
             Project: OpenNLP
          Issue Type: Improvement
            Reporter: Jörn Kottmann
            Priority: Trivial


For backward compatibility OpenNLP still needs to support the direct passing of the iterations and cutoff params to many methods in code which is related to training a component. The iterations and cutoff of parameters should always be wrapped in a Training Parameters object, and then the new methods should be called.

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[jira] [Closed] (OPENNLP-258) Refactor cross validation and training code to always use the new Training Parameters object

Posted by "Joern Kottmann (JIRA)" <ji...@apache.org>.

     [ https://issues.apache.org/jira/browse/OPENNLP-258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joern Kottmann closed OPENNLP-258.
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       Resolution: Fixed
    Fix Version/s: tools-1.5.2-incubating
         Assignee: Joern Kottmann

> Refactor cross validation and training code to always use the new Training Parameters object
> --------------------------------------------------------------------------------------------
>
>                 Key: OPENNLP-258
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-258
>             Project: OpenNLP
>          Issue Type: Improvement
>            Reporter: Joern Kottmann
>            Assignee: Joern Kottmann
>            Priority: Trivial
>             Fix For: tools-1.5.2-incubating
>
>
> For backward compatibility OpenNLP still needs to support the direct passing of the iterations and cutoff params to many methods in code which is related to training a component. The iterations and cutoff of parameters should always be wrapped in a Training Parameters object, and then the new methods should be called.

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