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new gradcheck for more stability in mrd_tests

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Max Zwiessele 2013-04-15 16:26:03 +01:00
parent 8af4ddabf1
commit 2b2edae083
1 changed files with 2 additions and 2 deletions
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4
GPy/testing/mrd_tests.py
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@ -14,16 +14,16 @@ class MRDTests(unittest.TestCase):
def test_gradients(self): def test_gradients(self):
num_m = 3 num_m = 3
N, M, Q, D = 20, 8, 5, 50 N, M, Q, D = 20, 8, 6, 20
X = np.random.rand(N, Q) X = np.random.rand(N, Q)
k = GPy.kern.linear(Q) + GPy.kern.bias(Q) + GPy.kern.white(Q) k = GPy.kern.linear(Q) + GPy.kern.bias(Q) + GPy.kern.white(Q)
K = k.K(X) K = k.K(X)
Ylist = [np.random.multivariate_normal(np.zeros(N), K, D).T for _ in range(num_m)] Ylist = [np.random.multivariate_normal(np.zeros(N), K, D).T for _ in range(num_m)]
m = GPy.models.MRD(*Ylist, Q=Q, kernel=k, M=M) m = GPy.models.MRD(*Ylist, Q=Q, kernel=k, M=M)
m.ensure_default_constraints() m.ensure_default_constraints()
m.randomize()
self.assertTrue(m.checkgrad()) self.assertTrue(m.checkgrad())