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/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 Distribution

interpret-0.6.0.tar.gz (1.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

interpret-0.6.0-py3-none-any.whl (1.4 kB view details)

Uploaded Python 3

File details

Details for the file interpret-0.6.0.tar.gz.

File metadata

  • Download URL: interpret-0.6.0.tar.gz
  • Upload date:
  • Size: 1.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for interpret-0.6.0.tar.gz
Algorithm Hash digest
SHA256 4004dcb99e09aa154e6dd417f16bfcb9bc9f4f03d06bfcfac4d59817134c33e3
MD5 39456c495cb2359e08519ed208370adc
BLAKE2b-256 cdbf9c6692c927d3c16705494162aa22a59ea8ea9eac1071a3b0bf75fbed17e3

See more details on using hashes here.

File details

Details for the file interpret-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: interpret-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 1.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for interpret-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9b4eb6ca6f4a0aeb08a0f01be07f579f11b8dc9554007b7db1afda7c062442ac
MD5 a7e68903343649ff2fa7db519102265b
BLAKE2b-256 0b68935ab01be504d65491ff7254fce3f2615e7c42b25f1dd08b6eb99c821585

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page