Package algo

Examples of algo.GradientAscent

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    super(name);

  }
  @Override
  protected void setUp() {
    ga = new GradientAscent();
  }
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  public LinearClassifier batchTrain(
      ArrayList<ClassificationInstance> trainingData) {
    Objective obj = new Objective(trainingData);
    // perform gradient descent
    @SuppressWarnings("unused")
    GradientAscent gaoptimizer;
    ConjugateGradient optimizer = new ConjugateGradient(obj
        .getNumParameters());
    @SuppressWarnings("unused")
    boolean success = optimizer.maximize(obj);
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  public static void main(String[] args) {
    double[] center = { 2, 3 };
    double[] skew = { 1, 100 };
    TestMaximization obj = new TestMaximization(center, skew);
    GradientAscent ga = new GradientAscent();
    ga.maximize(obj);
    System.out.println("Gradient descent found params (val="
        + obj.numValueCalls + " grad=" + obj.numGradientCalls + "): ");
    for (int i = 0; i < obj.params.length; i++) {
      System.out.print(obj.params[i] + " ");
    }
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  }

  public LinearTagger batchTrain(ArrayList<SequenceInstance> trainingData) {
    Objective obj = new Objective(trainingData);
    // perform gradient descent
    @SuppressWarnings("unused")
    GradientAscent gaoptimizer = new GradientAscent();
    @SuppressWarnings("unused")
    ConjugateGradient optimizer = new ConjugateGradient(obj
        .getNumParameters());
    @SuppressWarnings("unused")
    boolean success = optimizer.maximize(obj);
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Related Classes of algo.GradientAscent

  • classification.MaxEntropy
  • experiments.TestMaximization
  • sequence.CRF
  • types.TestDifferentiableObjective
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