Skip to main content

A package for learning interpretable prototypes for prediction tasks.

Project description

prototype_learning

A package for learning interpretable prototypes for prediction tasks.

Installation

$ pip install prototype_learning

Usage

  • TODO

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

prototype_learning was created by Anton Matsson. It is licensed under the terms of the MIT license.

Credits

prototype_learning was created with cookiecutter and the py-pkgs-cookiecutter template.

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

prototype_learning-0.1.1.tar.gz (5.8 kB view details)

Uploaded Source

Built Distribution

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

prototype_learning-0.1.1-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file prototype_learning-0.1.1.tar.gz.

File metadata

  • Download URL: prototype_learning-0.1.1.tar.gz
  • Upload date:
  • Size: 5.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.9.13 Darwin/21.5.0

File hashes

Hashes for prototype_learning-0.1.1.tar.gz
Algorithm Hash digest
SHA256 8a334d5435a98358e3dc65ec631671fd6a8fc1f02b884dd756bb265b8166bc26
MD5 91224526892f6efb7a7b2456d603c67e
BLAKE2b-256 70fceaac2f5f342f6f4b7d8ed1d4ed4d3d3037d473074725662cc1d395a568fc

See more details on using hashes here.

File details

Details for the file prototype_learning-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: prototype_learning-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.9.13 Darwin/21.5.0

File hashes

Hashes for prototype_learning-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e38d0d89b67892ec601bc6b72978f3a61730346b7416df141f38fed69a225e59
MD5 6871c9a7bc541b4b915ba95685bdd508
BLAKE2b-256 778580406a614f132341eff3592465a6ea71f51e6018ed21f57cfbaa7ec79e63

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