FFP17: Computational Studies of Adja Magatte Fall Internship
This repository contains supplementary material for the reproducibiliy of computational studies performed in the report Learning high dimensional gaussian graphical models written by Adja Magatte Fall under the supervision of:
- Pierre Fernique,
- Jean Peyhardi.
Test it !
Online with Binder
To reproduce the studies online, use this server.
On your computer with Docker
docker run -i -t -p 8888:8888 statiskit/ffp17:latest
Then, follow the given instructions.
Install it !
You can also install required packages on your computer to reproduce these studies. In order to ease the installation of these packages on multiple operating systems, the Conda package and environment management system is used. For more information refers to the StatisKit software suite documentation concerning prerequisites to the installation step. Then, to install the required packages, proceed as as follows:
Clone this repository,
git clone https://github.com/StatisKit/FFP17
Enter the cloned repository,
Install the given Conda environment,
conda env create -f environment.yml
Activate the Conda environment as precised in your terminal.
Launch the Jupyter the index.ipynb notebook,
jupyter notebook index.ipynb
Execute the index.ipynb notebook to execute all examples or navigate among referenced notebooks to execute them separatly.