def test_non_stationary(self):
kernel = ScaleKernel(LinearKernel())
self.assertFalse(kernel.is_stationary)
def kernel_fun(rbf_var, rbf_lengthscale, lin_var):
return (gpytorch.kernels.ScaleKernel(
RBFKernel(lengthscale=torch.tensor(rbf_lengthscale)),
outputscale=torch.tensor(rbf_var)) +
ScaleKernel(LinearKernel(), outputscale=torch.tensor(lin_var)))
def create_kernel_no_ard(self, **kwargs):
return LinearKernel(**kwargs)
def test_non_stationary_base(self):
base_kernel = LinearKernel()
with self.assertRaisesRegex(
RuntimeError,
"The base_kernel for GridKernel must be stationary."):
GridKernel(base_kernel, grid)
