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
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.
Free software: MIT license
Documentation: https://explainy.readthedocs.io.
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.
Project details
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-0.1.3-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7345f628706a9a14716a16163ca8988d2c87d324eeb229df598e25c54c9062cb |
|
MD5 | 8124e0d762279a71e903b58707f6305d |
|
BLAKE2b-256 | 4118eafd066a7a09b7066d202bcf13f5314015958d4a5b014bea1838b12a8dab |