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-0.1.19-py3-none-any.whl (1.4 kB view details)

Uploaded Python 3

File details

Details for the file interpret-0.1.19-py3-none-any.whl.

File metadata

  • Download URL: interpret-0.1.19-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-0.1.19-py3-none-any.whl
Algorithm Hash digest
SHA256 4d495aed45bb69775bda18d2d2fcb675bccd878d50d0cb45b49f1c5853f55474
MD5 91c476a3d638cef763c7ff5f85762c32
BLAKE2b-256 d6b3e53fb0ecf09fc4a443a9c7da15a56916544b544c9f134d0496b1152be795

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