py27-autograd - Efficiently computes derivatives of numpy code

Property Value
Distribution NetBSD 7.0
Repository NetBSD i386
Package filename py27-autograd-1.1.13.tgz
Package name py27-autograd
Package version 1.1.13
Package release -
Package architecture i386
Package type tgz
Category math python
License mit
Maintainer -
Download size 59.31 KB
Installed size 423.51 KB
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


Package Version Architecture Repository
py27-autograd-1.1.13.tgz 1.1.13 amd64 NetBSD
py27-autograd - - -


Name Value
py27-future >= 0.15.2
py27-numpy >= 1.12
py27-setuptools >= 0.8
python27 >= 2.7.1nb2


Type URL
Binary Package py27-autograd-1.1.13.tgz
Source Package py27-autograd

Install Howto

Install py27-autograd tgz package:

# pkg_add py27-autograd

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