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-2.0.0.3-py2.py3-none-any.whl (13.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file statwolfACME-2.0.0.3-py2.py3-none-any.whl.

File metadata

  • Download URL: statwolfACME-2.0.0.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 13.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.9.2 readme-renderer/34.0 requests/2.21.0 requests-toolbelt/0.10.1 urllib3/1.26.13 tqdm/4.46.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.9

File hashes

Hashes for statwolfACME-2.0.0.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 89d5e47e13fa3aaa9f857beb84f762f85b5fe1ef3c0f835829a410886698b679
MD5 e74cb1dcfb346e6ae0c2bc31735fe724
BLAKE2b-256 da180dc06b7475f6e8391d4f6ee6b1410c01bbc50f811687e5a773fea4e2c097

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