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Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models

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Filter, Rank, and Prune (FRP)

Introduction

This is the code for the paper "Learning Linear Cyclic Gaussian Graphical Models: Filter, Rank, and Prune"

Installation

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

Usage

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

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Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models

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