alex wrote:
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
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:
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/)
Awhile back there were good signs that SciPy
would end up with a `diff` module:
https://github.com/scipy/scipy/issues/2035
Is this still moving forward?
It would certainly be nice for SciPy to have intuitive
numerical gradients, Jacobians, and Hessians. The last
two are I think missing
