Skip to main content

Algorithmic Lie Detector

Project description

===============
Emergenet
===============

.. image:: https://zenodo.org/badge/526971595.svg
:target: https://zenodo.org/badge/latestdoi/526971595

.. image:: http://zed.uchicago.edu/logo/truthnet.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: Algorithmic Lie Detector (https://pypi.org/project/truthnet/)
:Documentation: https://zeroknowledgediscovery.github.io/truthnet/

**Usage:**

.. code-block::

from emergenet.emergenet import Enet, save_model, load_model



Project details


Download files

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

Source Distribution

truthnet-0.0.17.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

truthnet-0.0.17-py3-none-any.whl (5.0 kB view details)

Uploaded Python 3

File details

Details for the file truthnet-0.0.17.tar.gz.

File metadata

  • Download URL: truthnet-0.0.17.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.7.5

File hashes

Hashes for truthnet-0.0.17.tar.gz
Algorithm Hash digest
SHA256 187217bfad53ccb76295646c20add39b8b4516bedc189b4329deb6a564e75887
MD5 7c1454d13b9e7453bd6a07df10f11c77
BLAKE2b-256 cdb99c48f812dcf9e7bcc53ab23348e49ccefdedc7d6fc4d9a3f194176a60ba6

See more details on using hashes here.

File details

Details for the file truthnet-0.0.17-py3-none-any.whl.

File metadata

  • Download URL: truthnet-0.0.17-py3-none-any.whl
  • Upload date:
  • Size: 5.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.7.5

File hashes

Hashes for truthnet-0.0.17-py3-none-any.whl
Algorithm Hash digest
SHA256 207ff69f7af7f60ca8733f90514a980555e8aa2829a0733058cfa119aa9d938f
MD5 90b1d30a70a8dae70329929e993dafee
BLAKE2b-256 54904cd79a15204da0958317537626fa93d5ee63fd04d3ab45e25db7cafd7cc2

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