Package classification

Examples of classification.CompleteFeatureFunction


  }

  public static LinearClassifier trainMaxEnt(
      ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA) {
    MaxEntropy maxent = new MaxEntropy(10.0, xA, yA,
        new CompleteFeatureFunction(xA, yA));
    LinearClassifier h = maxent.batchTrain(train);
    return h;
  }
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  public static LinearClassifier trainPerceptron(boolean doAveraging,
      int numIters, ArrayList<ClassificationInstance> train, Alphabet xA,
      Alphabet yA) {
    Perceptron p = new Perceptron(doAveraging, numIters, xA, yA,
        new CompleteFeatureFunction(xA, yA));
    LinearClassifier h = p.batchTrain(train);
    return h;
  }
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  }

  public static LinearClassifier trainAdaBoost(int numIters,
      ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA) {
    AdaBoost b = new AdaBoost(numIters, xA, yA,
        new CompleteFeatureFunction(xA, yA));
    LinearClassifier h = b.batchTrain(train);
    return h;
  }
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  }

  public static LinearClassifier trainMaxEnt(
      ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA) {
    MaxEntropy maxent = new MaxEntropy(10.0, xA, yA,
        new CompleteFeatureFunction(xA, yA));
    LinearClassifier h = maxent.batchTrain(train);
    return h;
  }
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  public static LinearClassifier trainPerceptron(boolean doAveraging,
      int numIters, ArrayList<ClassificationInstance> train, Alphabet xA,
      Alphabet yA) {
    Perceptron p = new Perceptron(doAveraging, numIters, xA, yA,
        new CompleteFeatureFunction(xA, yA));
    LinearClassifier h = p.batchTrain(train);
    return h;
  }
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Related Classes of classification.CompleteFeatureFunction

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