Skip to main content

ACME - Accelerated Model Explainability

Project description

The author of this package has not provided a project description

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

statwolfACME-1.1.2-py2.py3-none-any.whl (9.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file statwolfACME-1.1.2-py2.py3-none-any.whl.

File metadata

  • Download URL: statwolfACME-1.1.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 9.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.6.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5

File hashes

Hashes for statwolfACME-1.1.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 466fc7ddad55a51d00e861cc28e018fe3a4283c770e8f3b3ae68e308c5e3032a
MD5 e019cace4725de5c54065c317940bccf
BLAKE2b-256 5805d9a53f2055ac29a754849bf36c05defeae6ad960ec06f083574dbc8ab846

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