Metadata-Version: 2.1
Name: pycute
Version: 0.1.0
Summary: Information-Theoretic Causal Inference on Event Sequences
Home-page: https://github.com/kailashbuki/pycute
Author: Kailash Budhathoki
Author-email: kailash.buki@gmail.com
License: MIT License
Description: Pycute
        -------
        
        Pycute is a infromation-theoretic causal inference method for event sequences based on Granger-causality.
        
        Pycute Module Installation
        ----------------------------
        
        The recommended way to install the `pycute` module is to simply use `pip`:
        
        ```console
        $ pip install pycute
        ```
        Pycute officially supports Python >= 3.6.
        
        How to use pycute?
        ------------------
        ```pycon
        >>> X = [1] * 1000
        >>> Y = [-1] * 1000
        >>> from pycute import cute, tent, simulations
        >>> cute.cute(X, Y)                                                   # CUTE
        (0.0, 0.0)
        >>> tent.tent(X, Y)                                                   # TENT
        (0.0, 0.0)
        >>> simulations.simulate_decision_rate_against_data_type('/results/dir/')
        # for decision rate vs causal relationship type plots
        ...
        ```
        
        How to cite the paper?
        ----------------------
        Todo: Add the citation to thesis.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
