Examples with EuclideanDistance smile.math.distance.EuclideanDistance used on opensource projects

Example 11 with EuclideanDistance

use of smile.math.distance.EuclideanDistance in project smile by haifengl.

the class RBFNetworkTest method testBank32nh.

/**
     * Test of learn method, of class RBFNetwork.
     */
@Test
public void testBank32nh() {
    System.out.println("bank32nh");
    ArffParser parser = new ArffParser();
    parser.setResponseIndex(31);
    try {
        AttributeDataset data = parser.parse(smile.data.parser.IOUtils.getTestDataFile("weka/regression/bank32nh.arff"));
        double[] datay = data.toArray(new double[data.size()]);
        double[][] datax = data.toArray(new double[data.size()][]);
        Math.standardize(datax);
        int n = datax.length;
        int k = 10;
        CrossValidation cv = new CrossValidation(n, k);
        double rss = 0.0;
        for (int i = 0; i < k; i++) {
            double[][] trainx = Math.slice(datax, cv.train[i]);
            double[] trainy = Math.slice(datay, cv.train[i]);
            double[][] testx = Math.slice(datax, cv.test[i]);
            double[] testy = Math.slice(datay, cv.test[i]);
            double[][] centers = new double[20][];
            RadialBasisFunction[] basis = SmileUtils.learnGaussianRadialBasis(trainx, centers, 5.0);
            RBFNetwork<double[]> rbf = new RBFNetwork<>(trainx, trainy, new EuclideanDistance(), basis, centers);
            for (int j = 0; j < testx.length; j++) {
                double r = testy[j] - rbf.predict(testx[j]);
                rss += r * r;
            }
        }
        System.out.println("10-CV MSE = " + rss / n);
    } catch (Exception ex) {
        System.err.println(ex);
    }
}

Example 12 with EuclideanDistance

use of smile.math.distance.EuclideanDistance in project smile by haifengl.

the class CLARANSTest method testUSPS.

/**
     * Test of learn method, of class CLARANS.
     */
@Test
public void testUSPS() {
    System.out.println("USPS");
    DelimitedTextParser parser = new DelimitedTextParser();
    parser.setResponseIndex(new NominalAttribute("class"), 0);
    try {
        AttributeDataset train = parser.parse("USPS Train", smile.data.parser.IOUtils.getTestDataFile("usps/zip.train"));
        AttributeDataset test = parser.parse("USPS Test", smile.data.parser.IOUtils.getTestDataFile("usps/zip.test"));
        double[][] x = train.toArray(new double[train.size()][]);
        int[] y = train.toArray(new int[train.size()]);
        double[][] testx = test.toArray(new double[test.size()][]);
        int[] testy = test.toArray(new int[test.size()]);
        AdjustedRandIndex ari = new AdjustedRandIndex();
        RandIndex rand = new RandIndex();
        CLARANS<double[]> clarans = new CLARANS<>(x, new EuclideanDistance(), 10, 50, 8);
        double r = rand.measure(y, clarans.getClusterLabel());
        double r2 = ari.measure(y, clarans.getClusterLabel());
        System.out.format("Training rand index = %.2f%%\tadjusted rand index = %.2f%%%n", 100.0 * r, 100.0 * r2);
        assertTrue(r > 0.8);
        assertTrue(r2 > 0.28);
        int[] p = new int[testx.length];
        for (int i = 0; i < testx.length; i++) {
            p[i] = clarans.predict(testx[i]);
        }
        r = rand.measure(testy, p);
        r2 = ari.measure(testy, p);
        System.out.format("Testing rand index = %.2f%%\tadjusted rand index = %.2f%%%n", 100.0 * r, 100.0 * r2);
        assertTrue(r > 0.8);
        assertTrue(r2 > 0.25);
    } catch (Exception ex) {
        System.err.println(ex);
    }
}

Example 13 with EuclideanDistance

use of smile.math.distance.EuclideanDistance in project smile by haifengl.

the class MECTest method testUSPS.

/**
     * Test of learn method, of class MEC.
     */
@Test
public void testUSPS() {
    System.out.println("USPS");
    DelimitedTextParser parser = new DelimitedTextParser();
    parser.setResponseIndex(new NominalAttribute("class"), 0);
    try {
        AttributeDataset train = parser.parse("USPS Train", smile.data.parser.IOUtils.getTestDataFile("usps/zip.train"));
        AttributeDataset test = parser.parse("USPS Test", smile.data.parser.IOUtils.getTestDataFile("usps/zip.test"));
        double[][] x = train.toArray(new double[train.size()][]);
        int[] y = train.toArray(new int[train.size()]);
        double[][] testx = test.toArray(new double[test.size()][]);
        int[] testy = test.toArray(new int[test.size()]);
        AdjustedRandIndex ari = new AdjustedRandIndex();
        RandIndex rand = new RandIndex();
        MEC<double[]> mec = new MEC<>(x, new EuclideanDistance(), 10, 8.0);
        double r = rand.measure(y, mec.getClusterLabel());
        double r2 = ari.measure(y, mec.getClusterLabel());
        System.out.format("Training rand index = %.2f%%\tadjusted rand index = %.2f%%%n", 100.0 * r, 100.0 * r2);
        assertTrue(r > 0.85);
        assertTrue(r2 > 0.35);
        int[] p = new int[testx.length];
        for (int i = 0; i < testx.length; i++) {
            p[i] = mec.predict(testx[i]);
        }
        r = rand.measure(testy, p);
        r2 = ari.measure(testy, p);
        System.out.format("Testing rand index = %.2f%%\tadjusted rand index = %.2f%%%n", 100.0 * r, 100.0 * r2);
        assertTrue(r > 0.85);
        assertTrue(r2 > 0.35);
    } catch (Exception ex) {
        System.err.println(ex);
    }
}

Example 14 with EuclideanDistance

use of smile.math.distance.EuclideanDistance in project smile by haifengl.

the class CoverTreeTest method testKnn1.

/**
     * Test of knn method, of class CoverTree. The data has only one elements
     */
@Test
public void testKnn1() {
    System.out.println("knn1");
    double[][] data1 = { data[0] };
    EuclideanDistance d = new EuclideanDistance();
    coverTree = new CoverTree<>(data1, d);
    Neighbor[] n1 = coverTree.knn(data[1], 1);
    assertEquals(1, n1.length);
    assertEquals(0, n1[0].index);
    assertEquals(data[0], n1[0].value);
    assertEquals(d.d(data[0], data[1]), n1[0].distance, 1E-7);
}

Example 15 with EuclideanDistance

use of smile.math.distance.EuclideanDistance in project smile by haifengl.

the class ValidationTest method testCv_4args_2.

/**
     * Test of cv method, of class Validation.
     */
@Test
public void testCv_4args_2() {
    System.out.println("cv");
    ArffParser parser = new ArffParser();
    parser.setResponseIndex(6);
    try {
        AttributeDataset data = parser.parse(smile.data.parser.IOUtils.getTestDataFile("weka/cpu.arff"));
        double[] y = data.toArray(new double[data.size()]);
        double[][] x = data.toArray(new double[data.size()][]);
        Math.standardize(x);
        RBFNetwork.Trainer<double[]> trainer = new RBFNetwork.Trainer<>(new EuclideanDistance());
        trainer.setNumCenters(20);
        double rmse = Validation.cv(10, trainer, x, y);
        System.out.println("RMSE = " + rmse);
    } catch (Exception ex) {
        System.err.println(ex);
    }
}