Skip to main content

Infering Emergent Dependency Structures In Survey Responses

Project description

https://zenodo.org/badge/388924904.svg cognet logo
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 details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cognet-0.0.190.tar.gz (26.4 MB view details)

Uploaded Source

Built Distribution

cognet-0.0.190-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file cognet-0.0.190.tar.gz.

File metadata

  • Download URL: cognet-0.0.190.tar.gz
  • Upload date:
  • Size: 26.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.0

File hashes

Hashes for cognet-0.0.190.tar.gz
Algorithm Hash digest
SHA256 d27213b8bbaf21c3100335d8e5c0c5b096ba269b4692d39f78045d896b81df28
MD5 bcb6c928501d182d50f5ecc63f38bf52
BLAKE2b-256 a2eb8f81a8e10da83a93434ceabd0e0057139d4dfdd2a95c372c8f97b4421e0f

See more details on using hashes here.

File details

Details for the file cognet-0.0.190-py3-none-any.whl.

File metadata

  • Download URL: cognet-0.0.190-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.0

File hashes

Hashes for cognet-0.0.190-py3-none-any.whl
Algorithm Hash digest
SHA256 7d7ec58fa7c60ecb60d45e34edc6231f697807e40cfcdf7a3844c6f02459139d
MD5 8682a5ed8e15beef9268a69715c7d74e
BLAKE2b-256 d8aaed0aa94ff6b18a208f9e397f26408f2d3d38b856830253639cbd9d0edb4b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page