Package fr.lip6.jkernelmachines.util.generators

Examples of fr.lip6.jkernelmachines.util.generators.GaussianGenerator.generateList()

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  @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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   * @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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    MultiClassGaussianGenerator mcg = new MultiClassGaussianGenerator();
    mcg.setSigma(0.5);
    mcg.setNbclasses(10);
   
    //generate the list
    List<TrainingSample<double[]>> list = mcg.generateList(100);
   
    //build classifier based on GaussL2 lasvm with c=10
    DoubleGaussL2 k =new DoubleGaussL2(2);
    LaSVM<double[]> svm = new LaSVM<double[]>(k);
    svm.setC(10);
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  @Before
  public void setUp() throws Exception {
    MultiClassGaussianGenerator mcgg = new MultiClassGaussianGenerator(4);
    mcgg.setP(10);
    mcgg.setSigma(1);
    train = mcgg.generateList(5);
   
    DoubleGaussL2 k = new DoubleGaussL2();
    k.setGamma(0.5);
    LaSVM<double[]> svm = new LaSVM<double[]>(k);
    svm.setC(10);
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  @Before
  public void setUp() throws Exception {
    MultiClassGaussianGenerator mcgg = new MultiClassGaussianGenerator(4);
    mcgg.setP(10);
    mcgg.setSigma(1);
    train = mcgg.generateList(5);
   
    DoubleGaussL2 k = new DoubleGaussL2();
    k.setGamma(0.5);
    LaSVM<double[]> svm = new LaSVM<double[]>(k);
    svm.setC(10);
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