9d2281355cbf35e6f7468d01e4f6a1c23a9710d0,testing/test_kerns.py,TestArcCosine,test_3d,#TestArcCosine#,67

Before Change

        rng = np.random.RandomState(1)
        X_data = rng.randn(N, D)
        for order in orders:
            self.evalKernelError(D, variance, weight_variances,
                                bias_variance, order, ARD, X_data)


class TestPeriodic(unittest.TestCase):
    def evalKernelError(self, D, lengthscale, variance, period, X_data):

After Change

        variance = 1e-2
        ARD = True
        orders = GPflow.kernels.ArcCosine.implemented_orders
        layers = {1, 2, 6}

        rng = np.random.RandomState(1)
        X_data = rng.randn(N, D)
        for order in orders:
            for layer in layers:
                self.evalKernelError(D, variance, weight_variances,
                                     bias_variance, order, layer, ARD, X_data)


class TestPeriodic(unittest.TestCase):
    def evalKernelError(self, D, lengthscale, variance, period, X_data):
        kernel = GPflow.kernels.PeriodicKernel(D, period=period, variance=variance, lengthscales=lengthscale)

Instances