Package fr.lip6.jkernelmachines.density

Examples of fr.lip6.jkernelmachines.density.DoubleGaussianMixtureModel.train()

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    SDCADensity<double[]> sdca = new SDCADensity<double[]>(k);
    sdca.setC(100);
    sdca.train(train);

    DoubleGaussianMixtureModel gmm = new DoubleGaussianMixtureModel(1);
    gmm.train(train);

    SimpleMKLDensity<double[]> mkl = new SimpleMKLDensity<double[]>();
    for (int x = 0; x < dimension; x++) {
      mkl.addKernel(new IndexDoubleGaussL2(x));
    }
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   * Test method for {@link fr.lip6.jkernelmachines.density.DoubleGaussianMixtureModel#train(java.util.List)}.
   */
  @Test
  public final void testTrainListOfdouble() {
    DoubleGaussianMixtureModel gmm = new DoubleGaussianMixtureModel(2);
    gmm.train(train);
   
    for(double[] x : train) {
      assertTrue(gmm.valueOf(x) > 0);
      assertTrue(gmm.valueOf(x) <= 1);
    }
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      System.exit(-1);
    }
    // perform PCA
    if(hasPCA == 1) {
      DoublePCA pca = new DoublePCA();
      pca.train(list);
      list = pca.projectList(list);
    }
    else if(hasPCA == 2) {
      DoublePCA pca = new DoublePCA();
      pca.train(list);
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      pca.train(list);
      list = pca.projectList(list);
    }
    else if(hasPCA == 2) {
      DoublePCA pca = new DoublePCA();
      pca.train(list);
      list = pca.projectList(list, true);
    }

    // initialize CV
    AccuracyEvaluator<double[]> ev = new AccuracyEvaluator<double[]>();
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