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-0.1.13-py3-none-any.whl (4.6 MB view details)

Uploaded Python 3

File details

Details for the file interpret-0.1.13-py3-none-any.whl.

File metadata

  • Download URL: interpret-0.1.13-py3-none-any.whl
  • Upload date:
  • Size: 4.6 MB
  • 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-0.1.13-py3-none-any.whl
Algorithm Hash digest
SHA256 2a8eb405f04b1c230a56bf6077c91761e4c2f211584a45e8ec539949afe925d0
MD5 db1b21edb3f7050ac56b896d7af27300
BLAKE2b-256 3ef592a42128e7eb37016f878ad33c91225b330eb124a090bad7aa758e839803

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