Skip to main content

Basic library for Machine learning operations

Project description

To build and install the library locally, run:

  • pip install wheel setuptools

  • python setup.py bdist_wheel

  • pip install /dist/ (press tab, press enter when *.whl comes up on terminal)

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

kedab-0.1.5-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file kedab-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: kedab-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for kedab-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 011efd56b066f70856f4973d090328ee6b810b0b53d27dba2d7ef97785360cab
MD5 bc813d50eab478813c57e71fcbf0ed0d
BLAKE2b-256 b96960ea15fc4c3f06344a382eed2a9a1ac711406d206536d66a4508d835d557

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