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add ssgplvm model test

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This commit is contained in:
Zhenwen Dai 2016-03-10 18:14:25 +00:00
parent 00e4ac152a
commit e9cc56e8e8
1 changed files with 13 additions and 1 deletions
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14
GPy/testing/model_tests.py
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@ -704,7 +704,19 @@ class GradientTests(np.testing.TestCase):
lik = GPy.likelihoods.Gaussian() lik = GPy.likelihoods.Gaussian()
m = GPy.models.GPVariationalGaussianApproximation(X, Y, kernel=kern, likelihood=lik) m = GPy.models.GPVariationalGaussianApproximation(X, Y, kernel=kern, likelihood=lik)
self.assertTrue(m.checkgrad()) self.assertTrue(m.checkgrad())
def test_ssgplvm(self):
from GPy import kern
from GPy.models import SSGPLVM
from GPy.examples.dimensionality_reduction import _simulate_matern
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)
self.assertTrue(m.checkgrad())
if __name__ == "__main__": if __name__ == "__main__":
print("Running unit tests, please be (very) patient...") print("Running unit tests, please be (very) patient...")