Skip to main content

Fit interpretable machine learning 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/interpretml/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-0.2.3-py3-none-any.whl (1.4 kB view details)

Uploaded Python 3

File details

Details for the file interpret-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: interpret-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 1.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.54.0 CPython/3.7.4

File hashes

Hashes for interpret-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 a95c282f8ff730aa35e367a9736dbf121cc496fd005c6b65325b3973d3a3d172
MD5 3d381a46928be2561bb52bb3134da511
BLAKE2b-256 b6402c52d5cd7fb79398288a044eea27318649044d43b28ab10a6ed55a4de936

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