C# RealFeatures类代码示例

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本文整理汇总了C#中RealFeatures类的典型用法代码示例。如果您正苦于以下问题：C# RealFeatures类的具体用法？C# RealFeatures怎么用？C# RealFeatures使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

RealFeatures类属于命名空间，在下文中一共展示了RealFeatures类的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的C#代码示例。

示例1: run

    public virtual object run(IList para)
    {
        modshogun.init_shogun_with_defaults();
        int cardinality = (int)((int?)para[0]);
        int size_cache = (int)((int?)para[1]);

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

        RealFeatures feats_train = new RealFeatures(traindata_real);
        RealFeatures feats_test = new RealFeatures(testdata_real);

        ANOVAKernel kernel = new ANOVAKernel(feats_train, feats_train, cardinality, size_cache);

        DoubleMatrix km_train = kernel.get_kernel_matrix();
        kernel.init(feats_train, feats_test);
        DoubleMatrix km_test = kernel.get_kernel_matrix();

        ArrayList result = new ArrayList();
        result.Add(km_train);
        result.Add(km_test);
        result.Add(kernel);

        modshogun.exit_shogun();
        return (object)result;
    }

开发者ID:orico，项目名称:shogun，代码行数:26，代码来源:kernel_anova_modular.cs

示例2: Main

    public static void Main()
    {
        modshogun.init_shogun_with_defaults();
        double C = 0.9;
        double epsilon = 1e-3;

        Math.init_random(17);
        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();
        feats_train.set_feature_matrix(traindata_real);
        RealFeatures feats_test = new RealFeatures();
        feats_test.set_feature_matrix(testdata_real);

        BinaryLabels labels = new BinaryLabels(trainlab);

        LibLinear svm = new LibLinear(C, feats_train, labels);
        svm.set_liblinear_solver_type(LIBLINEAR_SOLVER_TYPE.L2R_L2LOSS_SVC_DUAL);
        svm.set_epsilon(epsilon);
        svm.set_bias_enabled(true);
        svm.train();
        svm.set_features(feats_test);
        double[] out_labels = BinaryLabels.obtain_from_generic(svm.apply()).get_labels();

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

        modshogun.exit_shogun();
    }

开发者ID:behollis，项目名称:muViewBranch，代码行数:33，代码来源:classifier_liblinear_modular.cs

示例3: Main

    public static void Main()
    {
        modshogun.init_shogun_with_defaults();
        double width = 2.1;
        double epsilon = 1e-5;
        double C = 1.0;

        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_multiclass.dat");

        RealFeatures feats_train = new RealFeatures();
        feats_train.set_feature_matrix(traindata_real);
        RealFeatures feats_test = new RealFeatures();
        feats_test.set_feature_matrix(testdata_real);

        GaussianKernel kernel = new GaussianKernel(feats_train, feats_train, width);

        MulticlassLabels labels = new MulticlassLabels(trainlab);

        MulticlassLibSVM svm = new MulticlassLibSVM(C, kernel, labels);
        svm.set_epsilon(epsilon);
        svm.train();

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

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

        modshogun.exit_shogun();
    }

开发者ID:joseph-chan，项目名称:rqpersonalsvn，代码行数:33，代码来源:classifier_multiclasslibsvm_modular.cs

示例4: Main

    public static void Main()
    {
        modshogun.init_shogun_with_defaults();
        double degree = 1.0;

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

        RealFeatures feats_train = new RealFeatures(traindata_real);
        RealFeatures feats_test = new RealFeatures(testdata_real);

        EuclidianDistance distance = new EuclidianDistance(feats_train, feats_train);

        PowerKernel kernel = new PowerKernel(feats_train, feats_test, degree, distance);

        double[,] km_train = kernel.get_kernel_matrix();
        kernel.init(feats_train, feats_test);
        double[,] km_test = kernel.get_kernel_matrix();

        foreach (double item in km_train)
            Console.Write(item);

        foreach (double item in km_test)
            Console.Write(item);

        modshogun.exit_shogun();
    }

开发者ID:joseph-chan，项目名称:rqpersonalsvn，代码行数:27，代码来源:kernel_power_modular.cs

示例5: Main

    static void Main(string[] argv)
    {
        modshogun.init_shogun_with_defaults();
        double width = 1.4;
        int size_cache = 10;

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

        RealFeatures feats_train = new RealFeatures(traindata_real);
        RealFeatures feats_test = new RealFeatures(testdata_real);

        RandomFourierGaussPreproc preproc = new RandomFourierGaussPreproc();
        preproc.init(feats_train);
        feats_train.add_preprocessor(preproc);
        feats_train.apply_preprocessor();
        feats_test.add_preprocessor(preproc);
        feats_test.apply_preprocessor();

        Chi2Kernel kernel = new Chi2Kernel(feats_train, feats_train, width, size_cache);

        DoubleMatrix km_train = kernel.get_kernel_matrix();
        kernel.init(feats_train, feats_test);
        DoubleMatrix km_test = kernel.get_kernel_matrix();

        Console.WriteLine(km_train.ToString());
        Console.WriteLine(km_test.ToString());

        modshogun.exit_shogun();
    }

开发者ID:orico，项目名称:shogun，代码行数:30，代码来源:preprocessor_randomfouriergausspreproc_modular.cs

示例6: Main

	public static void Main() {
		modshogun.init_shogun_with_defaults();
		double width = 2.1;
		double epsilon = 1e-5;
		double C = 1.0;

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

		RealFeatures feats_train = new RealFeatures();
		feats_train.set_feature_matrix(traindata_real);
		RealFeatures feats_test = new RealFeatures();
		feats_test.set_feature_matrix(testdata_real);

		GaussianKernel kernel = new GaussianKernel(feats_train, feats_train, width);

		LibSVMOneClass svm = new LibSVMOneClass(C, kernel);
		svm.set_epsilon(epsilon);
		svm.train();

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

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

		modshogun.exit_shogun();
	}

开发者ID:Anshul-Bansal，项目名称:gsoc，代码行数:28，代码来源:classifier_libsvmoneclass_modular.cs

示例7: Main

	public static void Main() {

		modshogun.init_shogun_with_defaults();
		double width = 0.8;
		int C = 1;
		double epsilon = 1e-5;
		double tube_epsilon = 1e-2;

		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);

		LibSVR svr = new LibSVR(C, epsilon, kernel, labels);
		svr.set_tube_epsilon(tube_epsilon);
		svr.train();

		kernel.init(feats_train, feats_test);
		double[] out_labels = svr.apply().get_labels();
		
		foreach (double item in out_labels)
		    Console.Write(out_labels);

		modshogun.exit_shogun();

	}

开发者ID:Anshul-Bansal，项目名称:gsoc，代码行数:32，代码来源:regression_libsvr_modular.cs

示例8: Main

    public static void Main()
    {
        modshogun.init_shogun_with_defaults();
        double width = 0.8;
        int C = 1;
        double epsilon = 1e-5;
        double tube_epsilon = 1e-2;
        int num_threads = 3;

        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);

        RegressionLabels labels = new RegressionLabels(trainlab);

        SVRLight svr = new SVRLight(C, epsilon, kernel, labels);
        svr.set_tube_epsilon(tube_epsilon);
        //svr.parallel.set_num_threads(num_threads);
        svr.train();

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

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

        modshogun.exit_shogun();
    }

开发者ID:behollis，项目名称:muViewBranch，代码行数:33，代码来源:regression_svrlight_modular.cs

示例9: Main

    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();
    }

开发者ID:joseph-chan，项目名称:rqpersonalsvn，代码行数:29，代码来源:regression_krr_modular.cs

示例10: Main

    static void Main(string[] argv)
    {
        modshogun.init_shogun_with_defaults();
        double width = 2.1;
        double epsilon = 1e-5;
        double C = 1.0;

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

        RealFeatures feats_train = new RealFeatures();
        feats_train.set_feature_matrix(traindata_real);
        RealFeatures feats_test = new RealFeatures();
        feats_test.set_feature_matrix(testdata_real);

        GaussianKernel kernel = new GaussianKernel(feats_train, feats_train, width);

        LibSVMOneClass svm = new LibSVMOneClass(C, kernel);
        svm.set_epsilon(epsilon);
        svm.train();

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

        modshogun.exit_shogun();
    }

开发者ID:orico，项目名称:shogun，代码行数:27，代码来源:classifier_libsvmoneclass_modular.cs

示例11: Main

	public static void Main() {
		modshogun.init_shogun_with_defaults();
		double width = 1.6;

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

		RealFeatures feats_train = new RealFeatures(train_real);
		GaussianKernel subkernel = new GaussianKernel(feats_train, feats_train, width);

		Labels labels = new Labels(trainlab);

		AUCKernel kernel = new AUCKernel(0, subkernel);
		kernel.setup_auc_maximization(labels);

		double[,] km_train = kernel.get_kernel_matrix();
		
		int numRows = km_train.GetLength(0);
		int numCols = km_train.GetLength(1);
		
		Console.Write("km_train:\n");
		
		for(int i = 0; i < numRows; i++){
			for(int j = 0; j < numCols; j++){
				Console.Write(km_train[i,j] +" ");
			}
			Console.Write("\n");
		}
		
		modshogun.exit_shogun();
	}

开发者ID:Anshul-Bansal，项目名称:gsoc，代码行数:31，代码来源:kernel_auc_modular.cs

示例12: Main

    static void Main(string[] argv)
    {
        modshogun.init_shogun_with_defaults();
        double C = 0.9;
        double epsilon = 1e-3;

        org.shogun.Math.init_random(17);
        DoubleMatrix traindata_real = Load.load_numbers(".../data/fm_train_real.dat");
        DoubleMatrix testdata_real = Load.load_numbers("../data/toy/fm_test_real.dat");

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

        RealFeatures feats_train = new RealFeatures();
        feats_train.set_feature_matrix(traindata_real);
        RealFeatures feats_test = new RealFeatures();
        feats_test.set_feature_matrix(testdata_real);

        Labels labels = new Labels(trainlab);

        LibLinear svm = new LibLinear(C, feats_train, labels);
        svm.set_liblinear_solver_type(L2R_L2LOSS_SVC_DUAL);
        svm.set_epsilon(epsilon);
        svm.set_bias_enabled(true);
        svm.train();
        svm.set_features(feats_test);
        DoubleMatrix out_labels = svm.apply().get_labels();
        Console.WriteLine(out_labels.ToString());

        modshogun.exit_shogun();
    }

开发者ID:orico，项目名称:shogun，代码行数:30，代码来源:classifier_liblinear_modular.cs

示例13: Main

    static void Main(string[] argv)
    {
        modshogun.init_shogun_with_defaults();

        List<DoubleMatrix> result = new List<DoubleMatrix>(4);

        DoubleMatrix inputRealMatrix = Load.load_numbers("../data/fm_train_real.dat");
        RealFeatures realFeatures = new RealFeatures(inputRealMatrix);
        DoubleMatrix outputRealMatrix = realFeatures.get_feature_matrix();

        result.Add(inputRealMatrix);
        result.Add(outputRealMatrix);

        DoubleMatrix inputByteMatrix = Load.load_numbers("../data/fm_train_byte.dat");
        ByteFeatures byteFeatures = new ByteFeatures(inputByteMatrix);
        DoubleMatrix outputByteMatrix = byteFeatures.get_feature_matrix();

        result.Add(inputByteMatrix);
        result.Add(outputByteMatrix);

        DoubleMatrix inputLongMatrix = Load.load_numbers("../data/fm_train_byte.dat");
        LongFeatures byteFeatures = new LongFeatures(inputLongMatrix);
        DoubleMatrix outputLongMatrix = longFeatures.get_feature_matrix();

        result.Add(inputByteMatrix);
        result.Add(outputByteMatrix);

        Console.WriteLine(result);

        modshogun.exit_shogun();
    }

开发者ID:orico，项目名称:shogun，代码行数:31，代码来源:features_simple_modular.cs

示例14: Main

    public static void Main()
    {
        modshogun.init_shogun_with_defaults();
        double learn_rate = 1.0;
        int max_iter = 1000;

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

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

        RealFeatures feats_train = new RealFeatures();
        feats_train.set_feature_matrix(traindata_real);
        RealFeatures feats_test = new RealFeatures();
        feats_test.set_feature_matrix(testdata_real);

        Labels labels = new Labels(trainlab);

        Perceptron perceptron = new Perceptron(feats_train, labels);
        perceptron.set_learn_rate(learn_rate);
        perceptron.set_max_iter(max_iter);
        perceptron.train();

        perceptron.set_features(feats_test);
        //  already tried double[][]
        double[] out_labels = perceptron.apply().get_labels();

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

        modshogun.exit_shogun();
    }

开发者ID:joseph-chan，项目名称:rqpersonalsvn，代码行数:33，代码来源:classifier_perceptron_modular.cs

示例15: Main

    public static void Main()
    {
        modshogun.init_shogun_with_defaults();
        double width = 1.3;

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

        RealFeatures feats_train = new RealFeatures(traindata_real);
        RealFeatures feats_test = new RealFeatures(testdata_real);

        GaussianKernel kernel = new GaussianKernel(feats_train, feats_train, width);

        double[,] km_train = kernel.get_kernel_matrix();
        kernel.init(feats_train, feats_test);
        double[,] km_test = kernel.get_kernel_matrix();

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

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

        modshogun.exit_shogun();
    }

开发者ID:JingheZ，项目名称:shogun，代码行数:27，代码来源:kernel_gaussian_modular.cs

示例16: Main

    public static void Main()
    {
        modshogun.init_shogun_with_defaults();

        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_multiclass.dat");

        RealFeatures feats_train = new RealFeatures();
        feats_train.set_feature_matrix(traindata_real);
        RealFeatures feats_test = new RealFeatures();
        feats_test.set_feature_matrix(testdata_real);
        Labels labels = new Labels(trainlab);

        GaussianNaiveBayes gnb = new GaussianNaiveBayes(feats_train, labels);
        gnb.train();
        double[] out_labels = gnb.apply(feats_test).get_labels();

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

        modshogun.exit_shogun();
    }

开发者ID:joseph-chan，项目名称:rqpersonalsvn，代码行数:25，代码来源:classifier_gaussiannaivebayes_modular.cs

示例17: Main

    static void Main(string[] argv)
    {
        modshogun.init_shogun_with_defaults();
        double width = 2.1;
        double epsilon = 1e-5;
        double C = 1.0;

        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_multiclass.dat");

        RealFeatures feats_train = new RealFeatures();
        feats_train.set_feature_matrix(traindata_real);
        RealFeatures feats_test = new RealFeatures();
        feats_test.set_feature_matrix(testdata_real);

        GaussianKernel kernel = new GaussianKernel(feats_train, feats_train, width);

        Labels labels = new Labels(trainlab);

        LaRank svm = new LaRank(C, kernel, labels);
        svm.set_batch_mode(false);
        svm.set_epsilon(epsilon);
        svm.train();
        DoubleMatrix out_labels = svm.apply(feats_train).get_labels();
        Console.WriteLine(out_labels.ToString());

        modshogun.exit_shogun();
    }

开发者ID:orico，项目名称:shogun，代码行数:30，代码来源:classifier_larank_modular.cs

示例18: Main

    static void Main(string[] argv)
    {
        modshogun.init_shogun_with_defaults();

        int num = 1000;
        double dist = 1.0;
        double width = 2.1;
        double C = 1.0;

        DoubleMatrix offs =ones(2, num).mmul(dist);
        DoubleMatrix x = randn(2, num).sub(offs);
        DoubleMatrix y = randn(2, num).add(offs);
        DoubleMatrix traindata_real = concatHorizontally(x, y);

        DoubleMatrix m = randn(2, num).sub(offs);
        DoubleMatrix n = randn(2, num).add(offs);
        DoubleMatrix testdata_real = concatHorizontally(m, n);

        DoubleMatrix o = ones(1,num);
        DoubleMatrix trainlab = concatHorizontally(o.neg(), o);
        DoubleMatrix testlab = concatHorizontally(o.neg(), o);

        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);
        LibSVM svm = new LibSVM(C, kernel, labels);
        svm.train();

        DoubleMatrix @out = svm.apply(feats_test).get_labels();

        Console.WriteLine("Mean Error = " + signum(@out).ne(testlab).mean());
        modshogun.exit_shogun();
    }

开发者ID:orico，项目名称:shogun，代码行数:34，代码来源:classifier_libsvm_minimal_modular.cs

示例19: Main

    public static void Main()
    {
        modshogun.init_shogun_with_defaults();
        double shift_coef = 1.0;

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

        RealFeatures feats_train = new RealFeatures(traindata_real);
        RealFeatures feats_test = new RealFeatures(testdata_real);

        EuclideanDistance distance = new EuclideanDistance(feats_train, feats_train);

        MultiquadricKernel kernel = new MultiquadricKernel(feats_train, feats_test, shift_coef, distance);

        double[,] km_train = kernel.get_kernel_matrix();
        kernel.init(feats_train, feats_test);
        double[,] km_test = kernel.get_kernel_matrix();

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

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

        modshogun.exit_shogun();
    }

开发者ID:JingheZ，项目名称:shogun，代码行数:29，代码来源:kernel_multiquadric_modular.cs

示例20: Main

    static void Main(string[] argv)
    {
        modshogun.init_shogun_with_defaults();
        double sigma = 1.0;

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

        RealFeatures feats_train = new RealFeatures(traindata_real);
        RealFeatures feats_test = new RealFeatures(testdata_real);

        EuclidianDistance distance = new EuclidianDistance(feats_train, feats_train);

        CauchyKernel kernel = new CauchyKernel(feats_train, feats_train, sigma, distance);

        DoubleMatrix km_train = kernel.get_kernel_matrix();

        kernel.init(feats_train, feats_test);
        DoubleMatrix km_test =kernel.get_kernel_matrix();

        Console.WriteLine(km_train.ToString());
        Console.WriteLine(km_test.ToString());

        modshogun.exit_shogun();
    }

开发者ID:orico，项目名称:shogun，代码行数:25，代码来源:kernel_cauchy_modular.cs

注：本文中的RealFeatures类示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。

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