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-0.1.0-py3-none-any.whl (3.7 MB view details)

Uploaded Python 3

File details

Details for the file interpret-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: interpret-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for interpret-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 63487fa006b8e2e35a332381bd5f1553876b02f5eecda75509986eeada48bc09
MD5 9058fabb05f6e9184673266f7dda7e7c
BLAKE2b-256 3b44ddf99b04c3b61a4329bfc2aab25dfb535277a4d11b90c17b8abedf9de301

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