Package opennlp.tools.postag

Examples of opennlp.tools.postag.POSTaggerEvaluationMonitor


    Charset encoding = params.getEncoding();

    POSModel model = new POSModelLoader().load(params.getModel());
   
    POSTaggerEvaluationMonitor missclassifiedListener = null;
    if (params.getMisclassified()) {
      missclassifiedListener = new POSEvaluationErrorListener();
    }

    POSEvaluator evaluator = new POSEvaluator(
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    ObjectStream<POSSample> sampleStream = POSTaggerTrainerTool.openSampleData(
        "Training Data", trainingDataInFile, params.getEncoding());

    POSTaggerCrossValidator validator;
   
    POSTaggerEvaluationMonitor missclassifiedListener = null;
    if (params.getMisclassified()) {
      missclassifiedListener = new POSEvaluationErrorListener();
    }
   
    if (mlParams == null) {
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  public void run(String format, String[] args) {
    super.run(format, args);

    POSModel model = new POSModelLoader().load(params.getModel());
   
    POSTaggerEvaluationMonitor missclassifiedListener = null;
    if (params.getMisclassified()) {
      missclassifiedListener = new POSEvaluationErrorListener();
    }

    POSTaggerFineGrainedReportListener reportListener = null;
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    mlParams = CmdLineUtil.loadTrainingParameters(params.getParams(), false);
    if (mlParams == null) {
      mlParams = ModelUtil.createTrainingParameters(params.getIterations(), params.getCutoff());
    }

    POSTaggerEvaluationMonitor missclassifiedListener = null;
    if (params.getMisclassified()) {
      missclassifiedListener = new POSEvaluationErrorListener();
    }

    POSTaggerFineGrainedReportListener reportListener = null;
View Full Code Here

  public void run(String format, String[] args) {
    super.run(format, args);

    POSModel model = new POSModelLoader().load(params.getModel());

    POSTaggerEvaluationMonitor missclassifiedListener = null;
    if (params.getMisclassified()) {
      missclassifiedListener = new POSEvaluationErrorListener();
    }

    POSTaggerFineGrainedReportListener reportListener = null;
View Full Code Here

    mlParams = CmdLineUtil.loadTrainingParameters(params.getParams(), false);
    if (mlParams == null) {
      mlParams = ModelUtil.createDefaultTrainingParameters();
    }

    POSTaggerEvaluationMonitor missclassifiedListener = null;
    if (params.getMisclassified()) {
      missclassifiedListener = new POSEvaluationErrorListener();
    }

    POSTaggerFineGrainedReportListener reportListener = null;
View Full Code Here

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