bdaae33d6e345738f9d55c777e04ad121f63b1ff,Orange/tests/test_sgd.py,SGDRegressionTest,test_SGDRegression,#SGDRegressionTest#,9
 
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 = Orange.regression.SGDRegressionLearner()
        clf = learn(t)
        z = clf(x2)
        self.assertTrue((abs(z.reshape(-1, 1) - y2) < 4.0).all())
After Change
class SGDRegressionTest(unittest.TestCase):
    def test_SGDRegression(self):
        nrows, ncols = 500, 5
        X = np.random.rand(nrows, ncols)
        y = X.dot(np.random.rand(ncols))
        data = Orange.data.Table(X, y)
        sgd = Orange.regression.SGDRegressionLearner()

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 11
Instances
 Project Name: biolab/orange3
 Commit Name: bdaae33d6e345738f9d55c777e04ad121f63b1ff
 Time: 2015-02-09
 Author: lan.zagar@fri.uni-lj.si
 File Name: Orange/tests/test_sgd.py
 Class Name: SGDRegressionTest
 Method Name: test_SGDRegression
 Project Name: biolab/orange3
 Commit Name: 6993ef8bcf62f1e9c33a1a7b25b835e6406b0725
 Time: 2015-02-16
 Author: lan.zagar@fri.uni-lj.si
 File Name: Orange/tests/test_svm.py
 Class Name: SVMTest
 Method Name: test_NuSVR
 Project Name: biolab/orange3
 Commit Name: bdaae33d6e345738f9d55c777e04ad121f63b1ff
 Time: 2015-02-09
 Author: lan.zagar@fri.uni-lj.si
 File Name: Orange/tests/test_sgd.py
 Class Name: SGDRegressionTest
 Method Name: test_SGDRegression
 Project Name: biolab/orange3
 Commit Name: 6993ef8bcf62f1e9c33a1a7b25b835e6406b0725
 Time: 2015-02-16
 Author: lan.zagar@fri.uni-lj.si
 File Name: Orange/tests/test_svm.py
 Class Name: SVMTest
 Method Name: test_SVR