This is the code for the paper "Learning Linear Cyclic Gaussian Graphical Models: Filter, Rank, and Prune"
This code is written in Python
. To use it, you need to install packages introduced in environment.yml
via conda
. To do this,
conda env create --file environment.yml
To run the code, you need to activate the environment first.
conda activate frp
Then, you can look at intro.ipynb
for a quick start.
To run the tests, run the following in the main directory (code
).
pytest