An Analytical Framework for Monitoring Monthly Time‑Series Data and Identifying Atypical Changes
$ pip install m2risk- TODO
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
m2risk was created by Tomás Zaba. It is licensed under the terms of the MIT license.
m2risk was created with cookiecutter and the py-pkgs-cookiecutter template.