Examples with Attribute smile.data.Attribute used on opensource projects

Example 31 with Attribute

use of smile.data.Attribute in project smile by haifengl.

the class FeatureSetTest method testAttributes.

/**
     * Test of attributes method, of class FeatureSet.
     */
@Test
public void testAttributes() {
    System.out.println("attributes");
    try {
        ArffParser parser = new ArffParser();
        AttributeDataset data = parser.parse(smile.data.parser.IOUtils.getTestDataFile("weka/regression/abalone.arff"));
        double[][] x = data.toArray(new double[data.size()][]);
        FeatureSet<double[]> features = new FeatureSet<>();
        features.add(new Nominal2Binary(data.attributes()));
        features.add(new NumericAttributeFeature(data.attributes(), 0.05, 0.95, x));
        Attribute[] attributes = features.attributes();
        assertEquals(11, attributes.length);
        for (int i = 0; i < attributes.length; i++) {
            System.out.println(attributes[i]);
            assertEquals(Attribute.Type.NUMERIC, attributes[i].getType());
        }
    } catch (Exception ex) {
        System.err.println(ex);
    }
}

Example 32 with Attribute

use of smile.data.Attribute in project smile by haifengl.

the class Nominal2BinaryTest method testAttributes.

/**
     * Test of attributes method, of class Nominal2Binary.
     */
@SuppressWarnings("unused")
@Test
public void testAttributes() {
    System.out.println("attributes");
    ArffParser arffParser = new ArffParser();
    arffParser.setResponseIndex(4);
    try {
        AttributeDataset weather = arffParser.parse(smile.data.parser.IOUtils.getTestDataFile("weka/weather.nominal.arff"));
        double[][] x = weather.toArray(new double[weather.size()][]);
        Nominal2Binary n2b = new Nominal2Binary(weather.attributes());
        Attribute[] attributes = n2b.attributes();
        assertEquals(10, attributes.length);
        for (int i = 0; i < attributes.length; i++) {
            System.out.println(attributes[i]);
            assertEquals(Attribute.Type.NUMERIC, attributes[i].getType());
        }
    } catch (Exception ex) {
        System.err.println(ex);
    }
}

Example 33 with Attribute

use of smile.data.Attribute in project smile by haifengl.

the class Nominal2BinaryTest method testF.

/**
     * Test of f method, of class Nominal2Binary.
     */
@Test
public void testF() {
    System.out.println("f");
    double[][] result = { { 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0 }, { 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0 }, { 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0 }, { 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 1.0 }, { 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0 }, { 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0 }, { 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0 }, { 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 1.0 }, { 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0 }, { 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0 }, { 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 1.0, 0.0 }, { 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0 }, { 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0 }, { 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0 } };
    ArffParser arffParser = new ArffParser();
    arffParser.setResponseIndex(4);
    try {
        AttributeDataset weather = arffParser.parse(smile.data.parser.IOUtils.getTestDataFile("weka/weather.nominal.arff"));
        double[][] x = weather.toArray(new double[weather.size()][]);
        Nominal2Binary n2b = new Nominal2Binary(weather.attributes());
        Attribute[] attributes = n2b.attributes();
        for (int i = 0; i < x.length; i++) {
            double[] y = new double[attributes.length];
            for (int j = 0; j < y.length; j++) {
                y[j] = n2b.f(x[i], j);
                assertEquals(result[i][j], y[j], 1E-7);
            }
        }
    } catch (Exception ex) {
        System.err.println(ex);
    }
}

Example 34 with Attribute

use of smile.data.Attribute in project smile by haifengl.

the class IsotonicMDSDemo method learn.

/**
     * Execute the MDS algorithm and return a swing JComponent representing
     * the clusters.
     */
public JComponent learn() {
    JPanel pane = new JPanel(new GridLayout(1, 2));
    double[][] data = dataset[datasetIndex].toArray(new double[dataset[datasetIndex].size()][]);
    String[] labels = dataset[datasetIndex].toArray(new String[dataset[datasetIndex].size()]);
    if (labels[0] == null) {
        Attribute[] attr = dataset[datasetIndex].attributes();
        labels = new String[attr.length];
        for (int i = 0; i < labels.length; i++) {
            labels[i] = attr[i].getName();
        }
    }
    long clock = System.currentTimeMillis();
    IsotonicMDS isomds = new IsotonicMDS(data, 2);
    System.out.format("Learn Kruskal's Nonmetric MDS (k=2) from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    PlotCanvas plot = ScatterPlot.plot(isomds.getCoordinates(), labels);
    plot.setTitle("Kruskal's Nonmetric MDS (k = 2)");
    pane.add(plot);
    clock = System.currentTimeMillis();
    isomds = new IsotonicMDS(data, 3);
    System.out.format("Learn Kruskal's Nonmetric MDS (k=3) from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    plot = ScatterPlot.plot(isomds.getCoordinates(), labels);
    plot.setTitle("Kruskal's Nonmetric MDS (k = 3)");
    pane.add(plot);
    return pane;
}

Example 35 with Attribute

use of smile.data.Attribute in project smile by haifengl.

the class MDSDemo method learn.

/**
     * Execute the MDS algorithm and return a swing JComponent representing
     * the clusters.
     */
public JComponent learn() {
    JPanel pane = new JPanel(new GridLayout(1, 2));
    double[][] data = dataset[datasetIndex].toArray(new double[dataset[datasetIndex].size()][]);
    String[] labels = dataset[datasetIndex].toArray(new String[dataset[datasetIndex].size()]);
    if (labels[0] == null) {
        Attribute[] attr = dataset[datasetIndex].attributes();
        labels = new String[attr.length];
        for (int i = 0; i < labels.length; i++) {
            labels[i] = attr[i].getName();
        }
    }
    long clock = System.currentTimeMillis();
    MDS mds = new MDS(data, 2);
    System.out.format("Learn MDS (k=2) from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    PlotCanvas plot = ScatterPlot.plot(mds.getCoordinates(), labels);
    plot.setTitle("MDS (k = 2)");
    pane.add(plot);
    clock = System.currentTimeMillis();
    mds = new MDS(data, 3);
    System.out.format("Learn MDS (k=3) from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    plot = ScatterPlot.plot(mds.getCoordinates(), labels);
    plot.setTitle("MDS (k = 3)");
    pane.add(plot);
    return pane;
}