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https://issues.apache.org/jira/browse/OPENNLP-1546?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17836897#comment-17836897
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ASF GitHub Bot commented on OPENNLP-1546:
-----------------------------------------

mawiesne opened a new pull request, #595:
URL: https://github.com/apache/opennlp/pull/595

   Changes
   -
   - adjusts NER training code example to be complete and consistent with 2.x
   
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> NER training code example in documentation needs updated
> --------------------------------------------------------
>
>                 Key: OPENNLP-1546
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-1546
>             Project: OpenNLP
>          Issue Type: Documentation
>          Components: Documentation
>            Reporter: Jeff Zemerick
>            Assignee: Martin Wiesner
>            Priority: Major
>
> The NER training code example needs updated.
> [https://opennlp.apache.org/docs/2.3.2/manual/opennlp.html#tools.namefind.training.api]
>  * The `TokenNameFinderFactory nameFinderFactory` part won't compile.
>  * This code might be outdated in general.
> {code:java}
> ObjectStream<String> lineStream =
>               new PlainTextByLineStream(new 
> MarkableFileInputStreamFactory(new File("en-ner-person.train")), 
> StandardCharsets.UTF_8);
> TokenNameFinderModel model;
> try (ObjectStream<NameSample> sampleStream = new 
> NameSampleDataStream(lineStream)) {
>   model = NameFinderME.train("eng", "person", sampleStream, 
> TrainingParameters.defaultParams(), nameFinderFactory);
> }
> try (ObjectStream modelOut = new BufferedOutputStream(new 
> FileOutputStream(modelFile)){
>   model.serialize(modelOut);
> }
>                        {code}
> For reference (but not tested):
> {code:java}
>         final InputStreamFactory in = new 
> MarkableFileInputStreamFactory(convertedTrainingFile);
>         final ObjectStream<NameSample> sampleStream = new 
> NameSampleDataStream(new PlainTextByLineStream(in, StandardCharsets.UTF_8));
>         final TokenNameFinderModel nameFinderModel = NameFinderME.train("en", 
> null, sampleStream, TrainingParameters.defaultParams(), 
> TokenNameFinderFactory.create(null, null, Collections.emptyMap(), new 
> BioCodec())); {code}
>  
>  



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