Skip to main content

Superfast Risk Estimation of Emerging Pathogens

Project description

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

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

.. image:: http://zed.uchicago.edu/logo/emergenet.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: Superfast risk estimation for emerging strains (https://pypi.org/project/emergenet/) fo.
:Documentation: https://zeroknowledgediscovery.github.io/emergenet/

**Usage:**

.. code-block::

from emergenet.emergenet import Enet, save_model, load_model


**Usage:**
**Usage:**


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

emergenet-0.0.9.tar.gz (5.4 kB view details)

Uploaded Source

Built Distribution

emergenet-0.0.9-py3-none-any.whl (6.4 kB view details)

Uploaded Python 3

File details

Details for the file emergenet-0.0.9.tar.gz.

File metadata

  • Download URL: emergenet-0.0.9.tar.gz
  • Upload date:
  • Size: 5.4 kB
  • 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/4.64.0 CPython/3.10.5

File hashes

Hashes for emergenet-0.0.9.tar.gz
Algorithm Hash digest
SHA256 91247b1af30a3d52303830bb7bed28014ff8651563d116a063d378645af94907
MD5 b5c4ac5c244a4876424244d9a498fd90
BLAKE2b-256 64cd356b4a467f17df337330223342d19dfc1ce7bb82435213ef9b59c2b7fbbd

See more details on using hashes here.

File details

Details for the file emergenet-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: emergenet-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • 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/4.64.0 CPython/3.10.5

File hashes

Hashes for emergenet-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 4d673a93fe47f1fe6219e2f189cb7ee47bdc53985fac015e7fa219c7daee5c67
MD5 933f88c4dbaba6e695a5a8b7fd19eda9
BLAKE2b-256 dec14432da405f90cf990bc302f94d4139b39a25520ecf2f29bccb2e2ed7822b

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