Package com.github.pmerienne.trident.ml.nlp

Examples of com.github.pmerienne.trident.ml.nlp.KLDClassifier.classify()

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    kldClassifier.update(0, tokenizer.tokenize(NOSQL_WIKI));
    kldClassifier.update(0, tokenizer.tokenize(MYSQL_WIKI));
    kldClassifier.update(1, tokenizer.tokenize(LILIUM_WIKI));
    kldClassifier.update(1, tokenizer.tokenize(ROSE_WIKI));

    assertEquals(0, (int) kldClassifier.classify(tokenizer.tokenize(DATABASE_WIKI)));
    assertEquals(1, (int) kldClassifier.classify(tokenizer.tokenize(FLOWER_WIKI)));
  }

  @Test
  public void testWithReuters() {
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    kldClassifier.update(0, tokenizer.tokenize(MYSQL_WIKI));
    kldClassifier.update(1, tokenizer.tokenize(LILIUM_WIKI));
    kldClassifier.update(1, tokenizer.tokenize(ROSE_WIKI));

    assertEquals(0, (int) kldClassifier.classify(tokenizer.tokenize(DATABASE_WIKI)));
    assertEquals(1, (int) kldClassifier.classify(tokenizer.tokenize(FLOWER_WIKI)));
  }

  @Test
  public void testWithReuters() {
    List<TextInstance<Integer>> training = DatasetUtils.getTrainingFolds(0, 10, Datasets.getReutersSamples());
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    // Eval
    double evalSize = 0.0;
    double errorCount = 0.0;
    for (TextInstance<Integer> instance : eval) {
      int actual = kldClassifier.classify(instance.tokens);
      if (actual != instance.label) {
        errorCount++;
      }
      evalSize++;
    }
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