Code for Bayesian inference for queueing networks with incomplete data.
The statistical methods are described in this paper:
C. Sutton and M. I. Jordan. Bayesian inference in queueing networks. Annals of Applied Statistics, 5(1):254–282, 2011. https://arxiv.org/abs/1001.3355
This code requires Python 2 and scipy. Also requires yaml.py
Significant portions of the time critical portions of the code are written in Cython. The C translations of the Cython modules are included in the git repo.
You will need to create the C shared libraries to use the Python code. If you have Cython properly installed, this can be done using
cd src/
make
Of course, there is no real documentation,
but I have created a Jupyter notebook that walks
through an example usage. This is in the examples/
directory.
I've saved the notebook both in native Jupyter format, so you can run the code one your machine, and as a static HTML page, in case you do not have Jupyter installed.
Hopefully this is enough to get started.
(unfortunately this part is from memory)
To test if you have compiled correctly, you can run the unit
tests. These are all in the src/ directory and their
names begin with test_. Why I decided not to put them
in separate directory, who knows.
The most important one is test_qnet.py. So just
cd src/
python2 test_qnet.py
should work. A dozen of the tests will fail because I just removed some unused (but moderately testing) functionality to make the package a lot easier to install.