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-0.1.15-py3-none-any.whl (4.6 MB view details)

Uploaded Python 3

File details

Details for the file interpret-0.1.15-py3-none-any.whl.

File metadata

  • Download URL: interpret-0.1.15-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-0.1.15-py3-none-any.whl
Algorithm Hash digest
SHA256 8a77defbf1c817b424f198824163473da806eebebc29bc90e0ed3f66759869f7
MD5 8019da518724fe04734c96bb863d6e6f
BLAKE2b-256 7251573718cb3623937b73c19737a96ada8fb0ecbaa19e57c08b1b84ccc7444f

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