Factual package intelligence from PyPI

explainy 0.2.12 package intelligence

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

pip install explainy

Current version
0.2.12
Python requirement
>=3.9
License
MIT license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
667.1 KiB
Release history
20 releases with files
Median release cadence
8 days

explainy dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn ==1.5.0
  2. pandas
  3. mlxtend ==0.23.0
  4. shap ==0.44.0
  5. matplotlib ==3.7.1
  6. graphviz ==0.16
  7. numpy ==1.23.1
  8. matplotlib-inline ==0.1.2
  9. ipykernel
  10. ipython
  11. ipywidgets

Compatibility and release files

explainy publishes 1 wheel and 1 source archive for version 0.2.12. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Release activity and sources

PyPI lists 20 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .