Metadata-Version: 2.1
Name: PyIF
Version: 0.1
Summary: An open source implementation to compute bi-variate Transfer Entropy.
Home-page: https://github.com/lcdm-uiuc/PyTE
Author: Kelechi Ikegwu, Jacob Trauger, Robert Brunner
Author-email: ikegwu2@illinois.edu, jtt2@illinois.edu, bigdog@illinois.edu
License: UNKNOWN
Description: # PyIF
        
        An open source implementation to compute bi-variate Transfer Entropy.
        
        
        Then `from PyIF import te_compute` to import the needed functions. Then all that is needed then is to call the `te_compute` function.
        
        ## Installation
        
        To install from pip all that is needed is run the line `pip install PyIF`.
        
        To install a the development release of Py-TE run the following command
        ```bash
        pip install -e .
        ```
        
        ## Example
        
        ``` python
        from PyIF import te_compute as te
        import numpy as np
        rand = np.random.RandomState(seed=23)
        
        X_1000 = rand.randn(1000, 1).flatten()
        Y_1000 = rand.randn(1000, 1).flatten()
        
        TE = te.te_compute(X_1000, Y_1000, k=1, embedding=1, safetyCheck=True, GPU=False)
        
        print(TE)
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: University of Illinois/NCSA Open Source License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
