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-0.0.27.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

truthnet-0.0.27-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file truthnet-0.0.27.tar.gz.

File metadata

  • Download URL: truthnet-0.0.27.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.10.8

File hashes

Hashes for truthnet-0.0.27.tar.gz
Algorithm Hash digest
SHA256 b4d6e5637a8c87928f4726038ddbae700b34625fd2c006c146eb8360e79ba4a6
MD5 e73315bab5299e978a7264da2556da02
BLAKE2b-256 391c9f973601731f1c95adc8f4fe5038e8c1cf6955e2640fec54ae81c2210d41

See more details on using hashes here.

File details

Details for the file truthnet-0.0.27-py3-none-any.whl.

File metadata

  • Download URL: truthnet-0.0.27-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.10.8

File hashes

Hashes for truthnet-0.0.27-py3-none-any.whl
Algorithm Hash digest
SHA256 10e5fa071ebac0090459854fac35b0f7d85648e08fd9dc7502d92e38099c85d6
MD5 1347c592cb8088a0c34ec53998d5532f
BLAKE2b-256 c86afd07c5d06807b76b775e9e2ac4b4853d248647602b6efa272ced821bd326

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page