Examples of GaussianGenerator

fr.lip6.jkernelmachines.util.generators.GaussianGenerator

Class for generating toys subject to binary classification tasks, using Gaussian distribution.

Toys are sampled from 2 Gaussian distributions (one for the positive samples, the other for the negtive samples). The positive samples have a mean of p on each component, while the negative samples have a mean of -p on each component. The number of dimension, the spacing p and the standard deviation of the Gaussian can be adjusted.
Generated lists are shuffled.
@author picard
org.uncommons.maths.random.GaussianGenerator
kipedia.org/wiki/Normal_distribution" target="_top">Normally distributed random sequence. @author Daniel Dyer

Examples of fr.lip6.jkernelmachines.util.generators.GaussianGenerator

  /**
   * @throws java.lang.Exception
   */
  @Before
  public void setUp() throws Exception {
    GaussianGenerator g = new GaussianGenerator(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    svm = new DoubleSGD();
  }

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Examples of fr.lip6.jkernelmachines.util.generators.GaussianGenerator

   */
  @Test
  public final void testValueOfIntegerInteger() {
    
    // generate data
    GaussianGenerator gen = new GaussianGenerator(2);
    List<TrainingSample<double[]>> list = gen.generateList(5, 10);
    
    DoubleLinear lin = new DoubleLinear();
    double[][] matrix = lin.getKernelMatrix(list);
    
    double[][] train = new double[5][5];

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Examples of fr.lip6.jkernelmachines.util.generators.GaussianGenerator

  /**
   * @throws java.lang.Exception
   */
  @Before
  public void setUp() throws Exception {
    GaussianGenerator g = new GaussianGenerator(2, 1, 0.5);
    list = g.generateList(nb_samples);
    dk = new DoubleGaussL2();
    nk = new NystromKernel<double[]>(dk);
  }

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Examples of org.uncommons.maths.random.GaussianGenerator

   * @param sd
   *          a double standard deviation
   * @return a double sample
   */
  public static double rNorm(double mean, double sd) {
    GaussianGenerator dist = new GaussianGenerator(mean, sd, random);
    return dist.nextValue();
  }

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Examples of org.uncommons.maths.random.GaussianGenerator

    }




    protected GaussianGenerator createValueGenerator(Random rng)
    {
        return new GaussianGenerator(mean, standardDeviation, rng);
    }

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Examples of org.uncommons.maths.random.GaussianGenerator

   * @param sd
   *          a double standard deviation
   * @return a double sample
   */
  public static double rNorm(double mean, double sd) {
    GaussianGenerator dist = new GaussianGenerator(mean, sd, RANDOM);
    return dist.nextValue();
  }

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Examples of org.uncommons.maths.random.GaussianGenerator

   * @param mean a double mean value
   * @param sd a double standard deviation
   * @return a double sample
   */
  public static double rNorm(double mean, double sd) {
    GaussianGenerator dist = new GaussianGenerator(mean, sd, random);
    return dist.nextValue();
  }

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Examples of org.uncommons.maths.random.GaussianGenerator

   * @param mean a double mean value
   * @param sd   a double standard deviation
   * @return a double sample
   */
  public static double rNorm(double mean, double sd) {
    GaussianGenerator dist = new GaussianGenerator(mean, sd, random);
    return dist.nextValue();
  }

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Examples of org.uncommons.maths.random.GaussianGenerator

        operators.add(new MovePolygonMutation(movePolygonControl.getNumberGenerator()));
        operators.add(new ListOperator<ColouredPolygon>(new RemoveVertexMutation(canvasSize,
                                                                                 removeVertexControl.getNumberGenerator())));
        operators.add(new ListOperator<ColouredPolygon>(new AdjustVertexMutation(canvasSize,
                                                                                 moveVertexControl.getNumberGenerator(),
                                                                                 new GaussianGenerator(0, 3, rng))));
        operators.add(new ListOperator<ColouredPolygon>(new AddVertexMutation(canvasSize,
                                                                              addVertexControl.getNumberGenerator())));
        operators.add(new ListOperator<ColouredPolygon>(new PolygonColourMutation(changeColourControl.getNumberGenerator(),
                                                                                  new GaussianGenerator(0, 20, rng))));
        operators.add(new AddPolygonMutation(addPolygonControl.getNumberGenerator(), factory, 50));
        return new EvolutionPipeline<List<ColouredPolygon>>(operators);
    }

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Examples of org.uncommons.maths.random.GaussianGenerator

   * @param sd
   *          a double standard deviation
   * @return a double sample
   */
  public static double rNorm(double mean, double sd) {
    GaussianGenerator dist = new GaussianGenerator(mean, sd, RANDOM);
    return dist.nextValue();
  }

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