I was going to suggest numdifftools; its a very capable package in my
experience. Indeed it would be nice to have it integrated into scipy.
Also, in case trying to calculate a numerical gradient is a case of 'the
math getting too bothersome' rather than no closed form gradient actually
existing:
Indeed this isn't numpy, and I don't see how your collegues opinions have
bearing on that issue; but anyway..
There isn't a 'python' way to do this, the best method involves some form
of parsing library. Undoubtly there is a one-line regex to do this kind of
thing, but regexes are themselves the
On Thu, Mar 27, 2014 at 10:11 PM, Alex Goodman
alex.good...@colostate.eduwrote:
Hi Robert,
That did the trick, thanks!
Alex
On Thu, Mar 27, 2014 at 3:02 PM, Robert Kern robert.k...@gmail.comwrote:
On Thu, Mar 27, 2014 at 8:50 PM, David Cournapeau courn...@gmail.com
wrote:
On Thu,
On Mon, Apr 21, 2014 at 3:13 AM, Eelco Hoogendoorn
hoogendoorn.ee...@gmail.com wrote:
As far as I can tell, [Theano] is actually the only tensor/ndarray aware
differentiator out there
And AlgoPy, a tensor/ndarray aware arbitrary order automatic
differentiator (https://pythonhosted.org/algopy/)
