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)
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-0.0.201.tar.gz
(43.1 MB
view details)
Built Distribution
File details
Details for the file cognet-0.0.201.tar.gz.
File metadata
- Download URL: cognet-0.0.201.tar.gz
- Upload date:
- Size: 43.1 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 | a3fb86c7bb292c9db33828f90b4ae516aa5683f49145f815a5609c57aaa8d176 |
|
| MD5 | 9ad6a4c1cfd2f969b7297d1dd6c5859d |
|
| BLAKE2b-256 | ec2df45d1057f90d1ab3abf549fa8aaa4e70545de339144fb8f3bb871df47d45 |
File details
Details for the file cognet-0.0.201-py3-none-any.whl.
File metadata
- Download URL: cognet-0.0.201-py3-none-any.whl
- Upload date:
- Size: 1.7 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 | cfd67751b2a93428399473cd101c341d851b659dbfb1c92d0f39acfdac1a4fb4 |
|
| MD5 | 17958c51e56c368926dbd5294d45df49 |
|
| BLAKE2b-256 | 6ef6ab3aa4a5e57b0df03d995a8c248427e27275a338a4c989b59fd81a839dc8 |
