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[model tests] added seeds for model tests for stability

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This commit is contained in:
Max Zwiessele 2016-04-05 10:17:08 +01:00
parent e9bc9393b1
commit 13cf717231
1 changed files with 4 additions and 0 deletions
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4
GPy/testing/model_tests.py
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@ -730,6 +730,7 @@ class GradientTests(np.testing.TestCase):
self.assertTrue( np.allclose(var1, var2) )
def test_gp_VGPC(self):
np.random.seed(10)
num_obs = 25
X = np.random.randint(0, 140, num_obs)
X = X[:, None]
@ -737,6 +738,7 @@ class GradientTests(np.testing.TestCase):
kern = GPy.kern.Bias(1) + GPy.kern.RBF(1)
lik = GPy.likelihoods.Gaussian()
m = GPy.models.GPVariationalGaussianApproximation(X, Y, kernel=kern, likelihood=lik)
m.randomize()
self.assertTrue(m.checkgrad())
def test_ssgplvm(self):
@ -744,12 +746,14 @@ class GradientTests(np.testing.TestCase):
from GPy.models import SSGPLVM
from GPy.examples.dimensionality_reduction import _simulate_matern
np.random.seed(10)
D1, D2, D3, N, num_inducing, Q = 13, 5, 8, 45, 3, 9
_, _, Ylist = _simulate_matern(D1, D2, D3, N, num_inducing, False)
Y = Ylist[0]
k = kern.Linear(Q, ARD=True) # + kern.white(Q, _np.exp(-2)) # + kern.bias(Q)
# k = kern.RBF(Q, ARD=True, lengthscale=10.)
m = SSGPLVM(Y, Q, init="rand", num_inducing=num_inducing, kernel=k, group_spike=True)
m.randomize()
self.assertTrue(m.checkgrad())
if __name__ == "__main__":