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Posted to issues@opennlp.apache.org by "Jason Baldridge (JIRA)" <ji...@apache.org> on 2011/06/08 06:37:59 UTC

[jira] [Reopened] (OPENNLP-155) unreliable training set accuracy in perceptron

     [ https://issues.apache.org/jira/browse/OPENNLP-155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jason Baldridge reopened OPENNLP-155:
-------------------------------------


There were some problems with the implementation, both in terms of the original one and some of the changes I had made to address this issue. Code commit of a extensive rewrite of the perceptron to follow, with copious notes describing the changes.

> 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
>             Fix For: tools-1.5.1-incubating, maxent-3.0.1-incubating
>
>   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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