Examples with LOOCV smile.validation.LOOCV used on opensource projects

Example 16 with LOOCV

use of smile.validation.LOOCV in project smile by haifengl.

the class RidgeRegressionTest method testPredict.

/**
     * Test of predict method, of class RidgeRegression.
     */
@Test
public void testPredict() {
    System.out.println("predict");
    for (int lambda = 0; lambda <= 20; lambda += 2) {
        int n = longley.length;
        LOOCV loocv = new LOOCV(n);
        double rss = 0.0;
        for (int i = 0; i < n; i++) {
            double[][] trainx = Math.slice(longley, loocv.train[i]);
            double[] trainy = Math.slice(y, loocv.train[i]);
            RidgeRegression ridge = new RidgeRegression(trainx, trainy, 0.01 * lambda);
            double r = y[loocv.test[i]] - ridge.predict(longley[loocv.test[i]]);
            rss += r * r;
        }
        System.out.format("LOOCV MSE with lambda %.2f = %.3f%n", 0.01 * lambda, rss / n);
    }
}

Example 17 with LOOCV

use of smile.validation.LOOCV in project smile by haifengl.

the class DecisionTreeTest method testWeather.

/**
     * Test of learn method, of class DecisionTree.
     */
@Test
public void testWeather() {
    System.out.println("Weather");
    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()][]);
        int[] y = weather.toArray(new int[weather.size()]);
        int n = x.length;
        LOOCV loocv = new LOOCV(n);
        int error = 0;
        for (int i = 0; i < n; i++) {
            double[][] trainx = Math.slice(x, loocv.train[i]);
            int[] trainy = Math.slice(y, loocv.train[i]);
            DecisionTree tree = new DecisionTree(weather.attributes(), trainx, trainy, 3);
            if (y[loocv.test[i]] != tree.predict(x[loocv.test[i]]))
                error++;
        }
        System.out.println("Decision Tree error = " + error);
        assertEquals(5, error);
    } catch (Exception ex) {
        System.err.println(ex);
    }
}

Example 18 with LOOCV

use of smile.validation.LOOCV in project smile by haifengl.

the class GradientTreeBoostTest method testIris2.

/**
     * Test of predict method, of class GradientTreeBoost.
     */
@Test
public void testIris2() {
    System.out.println("Iris binary");
    ArffParser arffParser = new ArffParser();
    arffParser.setResponseIndex(4);
    try {
        AttributeDataset iris = arffParser.parse(smile.data.parser.IOUtils.getTestDataFile("weka/iris.arff"));
        double[][] x = iris.toArray(new double[iris.size()][]);
        int[] y = iris.toArray(new int[iris.size()]);
        for (int i = 0; i < y.length; i++) {
            if (y[i] == 2) {
                y[i] = 1;
            } else {
                y[i] = 0;
            }
        }
        int n = x.length;
        LOOCV loocv = new LOOCV(n);
        int error = 0;
        for (int i = 0; i < n; i++) {
            double[][] trainx = Math.slice(x, loocv.train[i]);
            int[] trainy = Math.slice(y, loocv.train[i]);
            GradientTreeBoost boost = new GradientTreeBoost(iris.attributes(), trainx, trainy, 100);
            if (y[loocv.test[i]] != boost.predict(x[loocv.test[i]]))
                error++;
        }
        System.out.println("Gradient Tree Boost error = " + error);
    //assertEquals(6, error);
    } catch (Exception ex) {
        System.err.println(ex);
    }
}

Example 19 with LOOCV

use of smile.validation.LOOCV in project smile by haifengl.

the class GradientTreeBoostTest method testIris.

/**
     * Test of learn method, of class GradientTreeBoost.
     */
@Test
public void testIris() {
    System.out.println("Iris");
    ArffParser arffParser = new ArffParser();
    arffParser.setResponseIndex(4);
    try {
        AttributeDataset iris = arffParser.parse(smile.data.parser.IOUtils.getTestDataFile("weka/iris.arff"));
        double[][] x = iris.toArray(new double[iris.size()][]);
        int[] y = iris.toArray(new int[iris.size()]);
        int n = x.length;
        LOOCV loocv = new LOOCV(n);
        int error = 0;
        for (int i = 0; i < n; i++) {
            double[][] trainx = Math.slice(x, loocv.train[i]);
            int[] trainy = Math.slice(y, loocv.train[i]);
            GradientTreeBoost boost = new GradientTreeBoost(iris.attributes(), trainx, trainy, 100);
            if (y[loocv.test[i]] != boost.predict(x[loocv.test[i]]))
                error++;
        }
        System.out.println("Gradient Tree Boost error = " + error);
    //assertEquals(6, error);
    } catch (Exception ex) {
        System.err.println(ex);
    }
}

Example 20 with LOOCV

use of smile.validation.LOOCV in project smile by haifengl.

the class LDATest method testLearn.

/**
     * Test of learn method, of class LDA.
     */
@Test
public void testLearn() {
    System.out.println("learn");
    ArffParser arffParser = new ArffParser();
    arffParser.setResponseIndex(4);
    try {
        AttributeDataset iris = arffParser.parse(smile.data.parser.IOUtils.getTestDataFile("weka/iris.arff"));
        double[][] x = iris.toArray(new double[iris.size()][]);
        int[] y = iris.toArray(new int[iris.size()]);
        int n = x.length;
        LOOCV loocv = new LOOCV(n);
        int error = 0;
        double[] posteriori = new double[3];
        for (int i = 0; i < n; i++) {
            double[][] trainx = Math.slice(x, loocv.train[i]);
            int[] trainy = Math.slice(y, loocv.train[i]);
            LDA lda = new LDA(trainx, trainy);
            if (y[loocv.test[i]] != lda.predict(x[loocv.test[i]], posteriori))
                error++;
        //System.out.println(posteriori[0]+"\t"+posteriori[1]+"\t"+posteriori[2]);
        }
        System.out.println("LDA error = " + error);
        assertEquals(22, error);
    } catch (Exception ex) {
        System.err.println(ex);
    }
}