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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..

Ben K
  • 37
  • 6

0 Answers0