Infering Emergent Dependency Structures In Survey Responses
Project description
- 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:
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-0.0.134.tar.gz
(10.7 MB
view details)
Built Distribution
File details
Details for the file cognet-0.0.134.tar.gz
.
File metadata
- Download URL: cognet-0.0.134.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
Algorithm | Hash digest | |
---|---|---|
SHA256 | e30088695b80c195996a44f525cb6ab0c3632eb73df68fbe289f0b5df56ba712 |
|
MD5 | 4529967fa3a2280a8d80ff1659d058b6 |
|
BLAKE2b-256 | da5159f9087662654fe5644cb9ebd1bec54bb14237812a79fcd98b8ae7aea9fe |
File details
Details for the file cognet-0.0.134-py3-none-any.whl
.
File metadata
- Download URL: cognet-0.0.134-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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4e2ef4c0bb83c0d3392f5c2c770774ed676f7f2fbe56c21a61d121d0757abd25 |
|
MD5 | a3b345a9e5758a708cbb1ca8abfae89f |
|
BLAKE2b-256 | 194efea7861949423de43b4a8bddedeaae6c6540bb5df146d789011f4d8a3f9e |