Metadata-Version: 2.1
Name: cognet
Version: 0.0.175
Summary: Infering Emergent Dependency Structures In Survey Responses
Home-page: https://github.com/zeroknowledgediscovery/cognet
Author: zed.uchicago.edu
Author-email: ishanu@uchicago.edu
License: LICENSE
Download-URL: https://github.com/zeroknowledgediscovery/cognet/archive/0.0.175.tar.gz
Keywords: computational social science,decision trees,machine learning,cognitive dissonance
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
License-File: LICENSE

===============
Cognet
===============

.. image:: https://zenodo.org/badge/388924904.svg
   :target: https://zenodo.org/badge/latestdoi/388924904


.. image:: http://zed.uchicago.edu/logo/cognet_logo.png
   :height: 300px
   :scale: 25%
   :alt: cognet logo
   :align: center

.. class:: no-web no-pdf

:Info: Draft link will be posted here
:Author: ZeD@UChicago <zed.uchicago.edu>
:Description: Application of quasinets (https://pypi.org/project/quasinet/) for analysis of emergent structures in survey responses with application in  adversarial contexts. 
:Documentation: https://zeroknowledgediscovery.github.io/cognet/


**Usage:**

.. code-block::

    from cognet.cognet import cognet as cg
    from cognet.dataFormatter import dataFormatter
    from cognet.model import model 


    data = dataFormatter(samples=GSSDATA,
                test_size=0.5)



