Dear all,
I am pleased to announce the release of BayesPy version 0.2.
BayesPy provides tools for Bayesian inference in Python. In particular,
it implements variational message passing framework, which enables
modular and efficient way to construct models and perform approximate
posterior
Hi Andrea
You should add a dimension argument in your Fortran code, also you should
write a f2py header in the same Fortran code.
Remember, numpy memory is C order wise.
You can specify in numpy the ordering of the matrices you pass when you
create them.
F2py automatically deals with matrices ,
On Thu, Aug 21, 2014 at 2:34 AM, James Crist crist...@umn.edu wrote:
All,
I have a C function func that takes in scalar arguments, and an array of
fixed dimension that is modified in place to provide the output. The
prototype is something like:
`void func(double a, double b, double c,
I have no stats on either anyone is looking at
http://yarikoptic.github.io/numpy-vbench besides me at times, so I
might be just crying into the wild:
I have moved running of numpy-vbench on a bit newer/more powerful box,
and that is why benchmark results are being reestimated (thus you might
