Examples of train()

Examples of fr.lip6.jkernelmachines.classifier.DoubleSAG.train()

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      svm.setLambda(1. / (train.size() * Double
          .parseDouble(regularizationField.getText())));
      svm.setK(train.size() / 20);
      svm.setT(10 * train.size());
      svm.train(localTrain);

      // info
      classnameLabel.setText(svm.getClass().getSimpleName());
      svLabel.setText("N/A");

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Examples of fr.lip6.jkernelmachines.classifier.DoubleSAG.train()

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      }
      for (int d = 1; d < 5; d++) {
        svm.addKernel(new DoublePolynomial(d));
        svm.addKernel(new DoubleHPolynomial(d));
      }
      svm.train(localTrain);

      // info
      classnameLabel.setText(svm.getClass().getSimpleName());
      double[] alphas = svm.getAlphas();
      int sv = 0;
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Examples of fr.lip6.jkernelmachines.classifier.DoubleSAG.train()

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        .toString())) {
      DoubleQNPKL svm = new DoubleQNPKL();
      svm.setC(Double.parseDouble(regularizationField.getText()));
      DebugPrinter.setDebugLevel(2);

      svm.train(localTrain);
      // info
      classnameLabel.setText(svm.getClass().getSimpleName());
      double[] alphas = svm.getAlphas();
      int sv = 0;
      for (int s = 0; s < alphas.length; s++) {
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Examples of fr.lip6.jkernelmachines.classifier.transductive.S3VMLightPegasos.train()

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      tpeg.setT(T);
      tpeg.setT0(t0);
      tpeg.setBias(bias);
//      tpeg.setVerbosityLevel(3);
      tpeg.setNumplus(200);
      tpeg.train(train, test);
     

      //6. test svm
      int nbErr = 0;
      int tpegErr = 0;
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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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Examples of fr.lip6.jkernelmachines.density.DoubleGaussianMixtureModel.train()

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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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Examples of fr.lip6.jkernelmachines.projection.DoublePCA.train()

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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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Examples of fr.lip6.jkernelmachines.projection.DoublePCA.train()

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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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Examples of gannuCF.classifiers.Classifier.train()

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      else
      {
       
        c=(Classifier)Class.forName(this.getValue("classifier")).newInstance();
        c.addParameters(this.getParameterString());
        c.train(target);
        File dir=new File("./data/classifiers/"+this.dict.getCompleteName()+"/");
        if(!dir.exists())
          dir.mkdirs();
        Util.writeObject(f, c);
      }
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Examples of id3.ID3Inducer.train()

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  @Override
  public Categorizer getCategorizer(InstanceList instances) {
    ID3Inducer id3 = new ID3Inducer("ID3PerfClassSelector");
    id3.assign_data(instances);
    id3.train();
    id3.display_struct();
    return id3.get_categorizer();
  }
}
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