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