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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:

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)

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for davidyangnyc from gravatar.com davidyangnyc Avatar for ishanuc from gravatar.com ishanuc

Credits

Author: zed.uchicago.edu

License

MIT License (LICENSE)

Requires

Python >=3.6

Tags

computational social science decision trees machine learning cognitive dissonance

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for davidyangnyc from gravatar.com davidyangnyc Avatar for ishanuc from gravatar.com ishanuc

Credits

Author: zed.uchicago.edu

License

MIT License (LICENSE)

Requires

Python >=3.6

Tags

computational social science decision trees machine learning cognitive dissonance

Classifiers

Report project as malware

Release files for cognet 0.0.207

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for cognet 0.0.207
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Table of built distributions (wheels) for cognet 0.0.207
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Total release size: 44.9 MB

Release files / cognet-0.0.207.tar.gz

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Release files / cognet-0.0.207-py3-none-any.whl

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Size 1.7 MB
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