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-0.0.6-py3-none-any.whl (3.2 MB view details)

Uploaded Python 3

File details

Details for the file interpret-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: interpret-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 3.2 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-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 5d8fdb0de5663c8044049041ab025993b4a809e672f30c5d1e037a23f140d83c
MD5 92cf1c61d77911a8176590ed5739f95b
BLAKE2b-256 c234480b1f3f38fe507880d76fd3f7b53dfe59facc8988e0f6603121e9f569d9

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