System.out.println("Accuracy: " + validator.getDocumentAccuracy() + "\n" + "Number of documents: " + validator.getDocumentCount());
@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); }
System.out.println("Accuracy: " + validator.getDocumentAccuracy() + "\n" + "Number of documents: " + validator.getDocumentCount());
System.out.println("Accuracy: " + validator.getDocumentAccuracy() + "\n" + "Number of documents: " + validator.getDocumentCount());