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

   */
  @Before
  public void setUp() throws Exception {
    


    GaussianGenerator gen = new GaussianGenerator(dim);
    list = gen.generateList(nbSamples);
    
    
    pca = new DoublePCA();
    pca.train(list);

View Full Code Here

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

  LaSVM<double[]> svm;


  @Before
  public void setUp() throws Exception {
    
    GaussianGenerator g = new GaussianGenerator(10, 5.0f, 0.1);
    train = g.generateList(50);
    
    DoubleGaussL2 k = new DoubleGaussL2(1.0);
    svm = new LaSVM<double[]>(k);
    svm.setC(1.0);
  }

View Full Code Here

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);
    
    DoubleGaussL2 k = new DoubleGaussL2(1.0);
    svm = new LaSVMI<double[]>(k);
  }

View Full Code Here

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

  /**
   * @throws java.lang.Exception
   */
  @Before
  public void setUp() throws Exception {
    GaussianGenerator gen = new GaussianGenerator(2, 2, 1.0);
    List<TrainingSample<double[]>> list = gen.generateList(100, 100);
    train = new ArrayList<double[]>();
    for (TrainingSample<double[]> t : list) {
      train.add(t.sample);
    }
  }

View Full Code Here

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

  LaSVM<double[]> svm;


  @Before
  public void setUp() throws Exception {
    
    GaussianGenerator g = new GaussianGenerator(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    DoubleGaussL2 k = new DoubleGaussL2(1.0);
    svm = new LaSVM<double[]>(k);
  }

View Full Code Here

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

  /**
   * @throws java.lang.Exception
   */
  @Before
  public void setUp() throws Exception {
    GaussianGenerator gen = new GaussianGenerator(8, 2, 0.1);
    List<TrainingSample<double[]>> list = gen.generateList(1000, 1000);
    train = new ArrayList<double[]>();
    for(TrainingSample<double[]> t : list) {
      train.add(t.sample);
    }
  }

View Full Code Here

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(100);
    
    svm = new DoubleLLSVM();
    svm.setK(4);
    svm.setNn(2);
  }

View Full Code Here

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

  /**
   * @throws java.lang.Exception
   */
  @Before
  public void setUp() throws Exception {
    GaussianGenerator gen = new GaussianGenerator(2, 2, 1.0);
    List<TrainingSample<double[]>> list = gen.generateList(100, 100);
    train = new ArrayList<double[]>();
    for (TrainingSample<double[]> t : list) {
      train.add(t.sample);
    }
  }

View Full Code Here

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

  /**
   * @throws java.lang.Exception
   */
  @Before
  public void setUp() throws Exception {
    GaussianGenerator g = new GaussianGenerator(2, 50.0f, 1.0);
    train = g.generateList(10);


    svm = new S3VMLightPegasos();
  }

View Full Code Here

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 GradMKL<double[]>();
    svm.addKernel(new DoubleGaussL2());
  }

View Full Code Here

0 1 2 3 4

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.