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-0.0.96.tar.gz
(12.9 MB
view details)
Built Distribution
File details
Details for the file cognet-0.0.96.tar.gz.
File metadata
- Download URL: cognet-0.0.96.tar.gz
- Upload date:
- Size: 12.9 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 | d286cc26a96b5b84912db4422a978fc4da6d6f5ef18dd5ed761594dacf34e76c |
|
| MD5 | 3c7754565b72d48f6ff6e08ebdb08c43 |
|
| BLAKE2b-256 | b7d614969f09037c1ff37de1627d5ef1152fb31bcdefd2011a013917bf372ee3 |
File details
Details for the file cognet-0.0.96-py3-none-any.whl.
File metadata
- Download URL: cognet-0.0.96-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 | 4168bdae117eb231138e981a6f48d4f99b86c99e5391f70e0d911444f2d7b9a8 |
|
| MD5 | 201e5f8b26d5af1f33c66cc6e9f524f8 |
|
| BLAKE2b-256 | 0fea2c20048c90a77f24f5cf03f6bc00fd62fdd3f6d2813d6c4bb34fac02bd6f |
