Python version of the original MATLAB code of Information Geometric Causal Inference (IGCI).
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
- NumPy
- SciPy
We test the code using Anaconda 4.3.30 64-bit for python 2.7 on windows. Any later version should still work perfectly.
Import IGCI using
from IGCI import igci
Apply IGCI on your data
f = igci(x, y, refMeasure=1, estimator=2)
Input of function igci()
| Argument | Description |
|---|---|
| x | Obeservations of the first variable. L by 1 numpy array. |
| y | Obeservations of the second variable. L by 1 numpy array. |
| refMeasure | 1 - uniform reference measure; 2 - Gaussian reference measure |
| estimator | 1 - entropy; 2 - integral approximation |
Output of function igci()
| Argument | Description |
|---|---|
| f | f < 0 - x causes y; f > 0 - y causes x; None - incorrect inputs |
- Shoubo Hu - shoubo DOT sub AT gmail DOT com
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE file for details.
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