6993ef8bcf62f1e9c33a1a7b25b835e6406b0725,Orange/tests/test_svm.py,SVMTest,test_OneClassSVM,#SVMTest#,63

Before Change

        x2 = np.r_[x2 + 2, x2 - 2]
        learn = OneClassSVMLearner(kernel="rbf", nu=0.1, gamma=0.1)
        clf = learn(t)
        z = clf(x2)
        self.assertTrue(np.sum(z == 1) > 0.7*len(z))

After Change

        X = np.r_[X + 2, X - 2]
        table = Orange.data.Table(X, None)
        learn = OneClassSVMLearner(kernel="rbf")
        m = learn(table[:100])
        z = m(table[100:])
        self.assertTrue(0.1 < np.sum(z == 1) < 0.5 * len(z))

Instances