(self, timestamp, scaling_modifier = 1)
| 233 | return self.get_scaling_t * scaling_modifier |
| 234 | |
| 235 | def get_marginal_t(self, timestamp, scaling_modifier = 1): # Standard |
| 236 | sigma = self.get_cov_t(scaling_modifier) |
| 237 | return torch.exp(-0.5*(self.get_t-timestamp)**2/sigma) # / torch.sqrt(2*torch.pi*sigma) |
| 238 | |
| 239 | def get_covariance(self, scaling_modifier = 1): |
| 240 | return self.covariance_activation(self.get_scaling, scaling_modifier, self._rotation) |