6993ef8bcf62f1e9c33a1a7b25b835e6406b0725,Orange/tests/test_svm.py,SVMTest,test_NuSVR,#SVMTest#,50

Before Change

        ncols = 5
        x = np.sort(10*np.random.rand(nrows, ncols))
        y = np.sum(np.sin(x), axis=1).reshape(nrows, 1)
        x1, x2 = np.split(x, 2)
        y1, y2 = np.split(y, 2)
        t = Orange.data.Table(x1, y1)
        learn = NuSVRLearner(kernel="rbf", C=1e3, gamma=0.1)
        clf = learn(t)
        z = clf(x2)
        self.assertTrue((abs(z.reshape(-1, 1) - y2) < 4.0).all())

    def test_OneClassSVM(self):
        nrows = 100

After Change

        self.assertLess(Orange.evaluation.RMSE(res)[0], 0.1)

    def test_NuSVR(self):
        nrows, ncols = 200, 5
        X = np.random.rand(nrows, ncols)
        y = X.dot(np.random.rand(ncols))
        data = Orange.data.Table(X, y)
        learn = NuSVRLearner(kernel="rbf", gamma=0.1)
        res = Orange.evaluation.CrossValidation(data, [learn], k=2)
        self.assertLess(Orange.evaluation.RMSE(res)[0], 0.1)

    def test_OneClassSVM(self):
        // TODO: improve the test - what does it check?

Instances