./math/py-autograd, Efficiently computes derivatives of numpy code

[ CVSweb ] [ Homepage ] [ RSS ] [ Required by ] [ Add to tracker ]

Branch: pkgsrc-2018Q4, Version: 1.1.13, Package name: py27-autograd-1.1.13, Maintainer: pkgsrc-users

Autograd can automatically differentiate native Python and Numpy
code. It can handle a large subset of Python's features, including
loops, ifs, recursion and closures, and it can even take derivatives
of derivatives of derivatives. It uses reverse-mode differentiation
(a.k.a. backpropagation), which means it can efficiently take
gradients of scalar-valued functions with respect to array-valued
arguments. The main intended application is gradient-based
optimization.


Required to run:
[devel/py-future] [devel/py-setuptools] [lang/python27] [math/py-numpy]

Master sites:

SHA1: f19d160875032bbdb8f993bb52bd6cca72e6d9af
RMD160: b70b5229408ee6bc147f7192f794286a5715fe39
Filesize: 26.017 KB

Version history: (Expand)