|
|
|
@ -1,21 +1,35 @@ |
|
|
|
|
PyCTBN |
|
|
|
|
====== |
|
|
|
|
|
|
|
|
|
.. image:: https://codecov.io/gh/madlabunimib/PyCTBN/branch/master/graph/badge.svg |
|
|
|
|
:target: https://codecov.io/gh/madlabunimib/PyCTBN |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
A Continuous Time Bayesian Networks Library |
|
|
|
|
|
|
|
|
|
Installation/Usage |
|
|
|
|
******************* |
|
|
|
|
Download the release in .tar.gz or .whl format and simply use pip install to install it:: |
|
|
|
|
|
|
|
|
|
The library has been tested on Linux and Windows with Python 3.8 and it relies on the following Python modules: |
|
|
|
|
|
|
|
|
|
- numpy |
|
|
|
|
- pandas |
|
|
|
|
- networkx |
|
|
|
|
- scipy |
|
|
|
|
- matplotlib |
|
|
|
|
- tqdm |
|
|
|
|
|
|
|
|
|
**Pip installation** |
|
|
|
|
|
|
|
|
|
Download the release in .tar.gz or .whl format and simply use pip install to install it: |
|
|
|
|
|
|
|
|
|
$ pip install PyCTBN-1.0.tar.gz |
|
|
|
|
|
|
|
|
|
Coverage |
|
|
|
|
******** |
|
|
|
|
Please refer to https://app.codecov.io/gh/madlabunimib/PyCTBN/ for a detailed report of test coverage. |
|
|
|
|
|
|
|
|
|
Documentation |
|
|
|
|
************* |
|
|
|
|
Please refer to https://github.com/madlabunimib/PyCTBN/ for the full project documentation. |
|
|
|
|
Please refer to https://madlabunimib.github.io/PyCTBN/ for the full project documentation. |
|
|
|
|
|
|
|
|
|
Implementing your own data importer |
|
|
|
|
*********************************** |
|
|
|
|