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fixed seed in pep test script #448
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@ -9,6 +9,7 @@ class PEPgradienttest(unittest.TestCase):
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def setUp(self):
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######################################
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# # 1 dimensional example
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np.random.seed(10)
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N = 20
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# sample inputs and outputs
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@ -26,6 +27,7 @@ class PEPgradienttest(unittest.TestCase):
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# # more datapoints, check in alpha limits, the log marginal likelihood
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# # is consistent with FITC and VFE/Var_DTC
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M = 5
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np.random.seed(42)
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self.X1 = np.c_[np.linspace(-1., 1., N)]
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self.Y1 = np.sin(self.X1) + np.random.randn(N, 1) * 0.05
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self.kernel = GPy.kern.RBF(input_dim=1, lengthscale=0.5, variance=1)
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