Infering Emergent Dependency Structures In Survey Responses
Project description
===============
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)
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)
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