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LanguageDetectorCrossValidator.getDocumentAccuracy
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getDocumentAccuracy
method
in
opennlp.tools.langdetect.LanguageDetectorCrossValidator

Best Java code snippets using opennlp.tools.langdetect.LanguageDetectorCrossValidator.getDocumentAccuracy (Showing top 4 results out of 315)

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}
origin: apache/opennlp

System.out.println("Accuracy: " + validator.getDocumentAccuracy() + "\n" +
  "Number of documents: " + validator.getDocumentCount());
origin: apache/opennlp

@Test
public void evaluate() throws Exception {
 TrainingParameters params = new TrainingParameters();
 params.put(TrainingParameters.ITERATIONS_PARAM, 100);
 params.put(TrainingParameters.CUTOFF_PARAM, 5);
 params.put("PrintMessages", false);
 final AtomicInteger correctCount = new AtomicInteger();
 final AtomicInteger incorrectCount = new AtomicInteger();
 LanguageDetectorCrossValidator cv = new LanguageDetectorCrossValidator(params,
   new LanguageDetectorFactory(), new LanguageDetectorEvaluationMonitor() {
    @Override
    public void correctlyClassified(LanguageSample reference,
                    LanguageSample prediction) {
     correctCount.incrementAndGet();
    }
    @Override
    public void missclassified(LanguageSample reference,
                  LanguageSample prediction) {
     incorrectCount.incrementAndGet();
    }
   });
 LanguageDetectorSampleStream sampleStream = LanguageDetectorMETest.createSampleStream();
 cv.evaluate(sampleStream, 2);
 Assert.assertEquals(99, cv.getDocumentCount());
 Assert.assertEquals(0.98989898989899, cv.getDocumentAccuracy(), 0.01);
}
origin: org.apache.opennlp/opennlp-tools

System.out.println("Accuracy: " + validator.getDocumentAccuracy() + "\n" +
  "Number of documents: " + validator.getDocumentCount());
origin: ai.idylnlp/idylnlp-opennlp-tools-1.8.3

System.out.println("Accuracy: " + validator.getDocumentAccuracy() + "\n" +
  "Number of documents: " + validator.getDocumentCount());
opennlp.tools.langdetectLanguageDetectorCrossValidatorgetDocumentAccuracy

Javadoc

Retrieves the accuracy for all iterations.

Popular methods of LanguageDetectorCrossValidator

  • <init>
    Creates a LanguageDetectorCrossValidator with the given FeatureGenerators.
  • evaluate
    Starts the evaluation.
  • getDocumentCount
    Retrieves the number of words which where validated over all iterations. The result is the amount of

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