Hi,
Thanks a lot for your very nice & useful package.
I see the minimize function returns the eventual value of the objective function and the minimal. Since I am going to use your package to perform the MLE, finding the approximated variance estimator would be quite helpful. Hence, I was wondering whether pytorch.minimize could return also the inverse Hessian matrix as what scipy's optimize.minimize would give.
Hi, Thanks a lot for your very nice & useful package.
I see the minimize function returns the eventual value of the objective function and the minimal. Since I am going to use your package to perform the MLE, finding the approximated variance estimator would be quite helpful. Hence, I was wondering whether pytorch.minimize could return also the inverse Hessian matrix as what scipy's optimize.minimize would give.
Many thanks.