Calculate the warped mean by using Gauss-Hermite quadrature.

def _get_warped_mean(self, mean, std, pred_init=None, deg_gauss_hermite=20):
        """
        Calculate the warped mean by using Gauss-Hermite quadrature.
        """
        gh_samples, gh_weights = np.polynomial.hermite.hermgauss(deg_gauss_hermite)
        gh_samples = gh_samples[:, None]
        gh_weights = gh_weights[None, :]
        return gh_weights.dot(self._get_warped_term(mean, std, gh_samples)) / np.sqrt(np.pi)