Raw Metadata XML
<pkgmetadata>
<maintainer type="project">
<email>sci@gentoo.org</email>
<name>Gentoo Science Project</name>
</maintainer>
<maintainer type="person">
<email>apn-pucky@gentoo.org</email>
<name>Alexander Puck Neuwirth</name>
</maintainer>
<longdescription lang="en">
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 supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily. The main intended application of Autograd is gradient-based optimization.
</longdescription>
<upstream>
<remote-id type="pypi">autograd</remote-id>
<remote-id type="github">HIPS/autograd</remote-id>
</upstream>
</pkgmetadata>