Code. X, and y should be irrelevant..
ker = gp.kernels.RBF(input_dim=2,variance=torch.tensor(1.), lengthscale=torch.ones((2,)))
gpr = gp.models.GPModel(kernel=ker, X=x, y=y)
- Input:
list(gpr.parameters())
- Output:
[0]: [Parameter containing:
tensor(0., requires_grad=True),
Parameter containing:
tensor([0., 0.], requires_grad=True)]
The resulting tensors are 0. not 1. expected..