Skip to main content

Fit interpretable models. Explain blackbox machine learning.

Project description

In the beginning machines learned in darkness, and data scientists struggled in the void to explain them.

Let there be light.

https://github.com/microsoft/interpret

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

interpret-0.1.18-py3-none-any.whl (1.4 kB view details)

Uploaded Python 3

File details

Details for the file interpret-0.1.18-py3-none-any.whl.

File metadata

  • Download URL: interpret-0.1.18-py3-none-any.whl
  • Upload date:
  • Size: 1.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.7.3

File hashes

Hashes for interpret-0.1.18-py3-none-any.whl
Algorithm Hash digest
SHA256 54e8abaacc83260fd3b6b08242eaae5a717a9f765d79c043cf3197e68eb38e65
MD5 cc0e76eb436771a2dc842708a718ab38
BLAKE2b-256 f5133432201f4bb13574b7cb62159c0af1cb3bc14018b820cc313dbfc096f29d

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