Пример #1
0
    static void Main(string[] argv)
    {
        modshogun.init_shogun_with_defaults();
        double width = 0.8;
        double tau = 1e-6;

        DoubleMatrix traindata_real = Load.load_numbers("../data/fm_train_real.dat");
        DoubleMatrix testdata_real = Load.load_numbers("../data/fm_test_real.dat");

        DoubleMatrix trainlab = Load.load_labels("../data/label_train_twoclass.dat");

        RealFeatures feats_train = new RealFeatures(traindata_real);
        RealFeatures feats_test = new RealFeatures(testdata_real);
        GaussianKernel kernel = new GaussianKernel(feats_train, feats_train, width);

        Labels labels = new Labels(trainlab);

        KRR krr = new KRR(tau, kernel, labels);
        krr.train(feats_train);

        kernel.init(feats_train, feats_test);
        DoubleMatrix out_labels = krr.apply().get_labels();
        Console.WriteLine(out_labels.ToString());

        modshogun.exit_shogun();
    }
Пример #2
0
    public static void Main()
    {
        modshogun.init_shogun_with_defaults();
        double width = 0.8;
        double tau   = 1e-6;

        double[,] traindata_real = Load.load_numbers("../data/fm_train_real.dat");
        double[,] testdata_real  = Load.load_numbers("../data/fm_test_real.dat");

        double[] trainlab = Load.load_labels("../data/label_train_twoclass.dat");

        RealFeatures   feats_train = new RealFeatures(traindata_real);
        RealFeatures   feats_test  = new RealFeatures(testdata_real);
        GaussianKernel kernel      = new GaussianKernel(feats_train, feats_train, width);

        Labels labels = new Labels(trainlab);

        KRR krr = new KRR(tau, kernel, labels);

        krr.train(feats_train);

        kernel.init(feats_train, feats_test);
        double[] out_labels = krr.apply().get_labels();

        foreach (double item in out_labels)
        {
            Console.Write(item);
        }

        modshogun.exit_shogun();
    }
    public static void Main()
    {
        modshogun.init_shogun_with_defaults();
        double width = 0.8;
        double tau = 1e-6;

        double[,] traindata_real = Load.load_numbers("../data/fm_train_real.dat");
        double[,] testdata_real = Load.load_numbers("../data/fm_test_real.dat");

        double[] trainlab = Load.load_labels("../data/label_train_twoclass.dat");

        RealFeatures feats_train = new RealFeatures(traindata_real);
        RealFeatures feats_test = new RealFeatures(testdata_real);
        GaussianKernel kernel= new GaussianKernel(feats_train, feats_train, width);

        Labels labels = new Labels(trainlab);

        KRR krr = new KRR(tau, kernel, labels);
        krr.train(feats_train);

        kernel.init(feats_train, feats_test);
        double[] out_labels = krr.apply().get_labels();

        foreach(double item in out_labels) {
            Console.Write(item);
        }

        modshogun.exit_shogun();
    }