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(2, 10.0f, 1.0);
    train = g.generateList(10);
    test = g.generateList(10);


    svm = new S3VMLightSGDQN();
  }

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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(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    svm = new SimpleMKL<double[]>();
    svm.addKernel(new DoubleGaussL2());
  }

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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(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    svm = new DoubleQNPKL();
  }

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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, 10.0f, 1.0);
    train = g.generateList(10);
    test = g.generateList(10);


    DoubleGaussL2 k = new DoubleGaussL2(1.0);
    svm = new S3VMLight<double[]>(k);
  }

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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(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    svm = new DoubleSAG();
  }

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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(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    DoubleGaussL2 k = new DoubleGaussL2(1.0);
    svm = new SMOSVM<double[]>(k);
  }

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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(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    svm = new DoublePegasosSVM();
  }

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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(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    svm = new DoubleSGDQN();
  }

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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(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    DoubleGaussL2 k = new DoubleGaussL2(1.0);
    svm = new NystromLSSVM<double[]>(k);
    svm.setPercent(0.8);
    svm.setIteration(2);

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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(10, 5.0f, 1.0);
    train = g.generateList(10);
    
    svm = new TSMKL<double[]>();
    svm.addKernel(new DoubleGaussL2());
  }

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