explainy is a library for generating explanations for machine learning models in Python. It uses methods from Machine Learning Explainability and provides a standardized API to create feature importance explanations for samples. The explanations are generated in the form of plots and text.
Project description
explainy - model explanations for humans
explainy is a library for generating machine learning models explanations in Python. It uses methods from Machine Learning Explainability and provides a standardized API to create feature importance explanations for samples. The explanations are generated in the form of plots and text.
Free software: MIT license
Documentation
Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2021-07-27)
First release on PyPI.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for explainy-0.1.7-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 803c60ca5fdf7147cf928b55cda8f16623aa59d35c41fd5cb01f2c3dd0c16488 |
|
| MD5 | 5c38177b97f4a3a85f70964d01423a30 |
|
| BLAKE2b-256 | eef42eec5b5d8f97d636922fa64dc559fc279c04ca10f0602d8f72f6773b1d21 |
