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-0.0.141.tar.gz (10.7 MB view details)

Uploaded Source

Built Distribution

cognet-0.0.141-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file cognet-0.0.141.tar.gz.

File metadata

  • Download URL: cognet-0.0.141.tar.gz
  • Upload date:
  • Size: 10.7 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-0.0.141.tar.gz
Algorithm Hash digest
SHA256 bd040415592216bcc72a20ea1992e06c2226ec6650479e659cb112503c861e66
MD5 a2573d1b8491d010395b4ff7fe3f894c
BLAKE2b-256 0b4585f106d2175bf3fade7d75b9121eec7d5d544a21f7daf290afd9449673fe

See more details on using hashes here.

File details

Details for the file cognet-0.0.141-py3-none-any.whl.

File metadata

  • Download URL: cognet-0.0.141-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-0.0.141-py3-none-any.whl
Algorithm Hash digest
SHA256 9e94da78a5fcf6db69518b11138182ae134ac024f23c55e7430e99b5d40f2049
MD5 5fa0dd7027e9c427996ef03277562bc9
BLAKE2b-256 bc19ca043ffcd58df14fe28c630fff5e2d85d67e277227b06411006ac8060538

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