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Try to fix the issue with model_tests

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Zhenwen Dai 2017-10-11 16:06:22 +01:00 • committed by GitHub
parent 673405d203
commit 6eccb3764b
1 changed files with 9 additions and 5 deletions
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14
GPy/testing/model_tests.py
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@ -962,7 +962,7 @@ class GradientTests(np.testing.TestCase):
self.assertTrue(m.checkgrad())
def test_multiout_regression(self):
np.random.seed(1234)
np.random.seed(0)
import GPy
N = 10
@ -994,11 +994,13 @@ class GradientTests(np.testing.TestCase):
Qc = x.shape[1]
m_mr = GPy.models.GPMultioutRegression(x,y,Xr_dim=Qr, kernel_row=GPy.kern.RBF(Qr,ARD=True), num_inducing=(Mc,Mr),init='GP')
m_mr.optimize_auto(max_iters=10)
m_mr.optimize_auto(max_iters=1)
m_mr.randomize()
self.assertTrue(m_mr.checkgrad())
m_mr = GPy.models.GPMultioutRegression(x,y,Xr_dim=Qr, kernel_row=GPy.kern.RBF(Qr,ARD=True), num_inducing=(Mc,Mr),init='rand')
m_mr.optimize_auto(max_iters=10)
m_mr.optimize_auto(max_iters=1)
m_mr.randomize()
self.assertTrue(m_mr.checkgrad())
def test_multiout_regression_md(self):
@ -1071,11 +1073,13 @@ class GradientTests(np.testing.TestCase):
Mr, Mc, Qr, Qc = 4,3,2,1
m = GPy.models.GPMultioutRegressionMD(x_flat,y_flat,indexD,Xr_dim=Qr, kernel_row=GPy.kern.RBF(Qr,ARD=False), num_inducing=(Mc,Mr))
m.optimize_auto(max_iters=10)
m.optimize_auto(max_iters=1)
m.randomize()
self.assertTrue(m.checkgrad())
m = GPy.models.GPMultioutRegressionMD(x_flat,y_flat,indexD,Xr_dim=Qr, kernel_row=GPy.kern.RBF(Qr,ARD=False), num_inducing=(Mc,Mr),init='rand')
m.optimize_auto(max_iters=10)
m.optimize_auto(max_iters=1)
m.randomize()
self.assertTrue(m.checkgrad())
if __name__ == "__main__":