Method log_prob

gpytorch/priors/prior.py:29–34

r""" :return: log-probability of the parameter value under the prior :rtype: torch.Tensor

(self, x)

        return self._transform(x) if self._transform is not None else x

    def log_prob(self, x):
        r"""
        :return: log-probability of the parameter value under the prior
        :rtype: torch.Tensor
        """
        return super().log_prob(self.transform(x))

    def load_state_dict(self, state_dict: Mapping[str, Any], *args, **kwargs):
        Module.load_state_dict(self, state_dict, *args, **kwargs)