Factual package intelligence from PyPI

affectlog-widgets 0.0.6 package intelligence

Interactive visualizations to assess fairness, explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.

pip install affectlog-widgets

Current version
0.0.6
Python requirement
>=3.7
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
64.7 KiB
Release history
7 releases with files
Median release cadence
0 days

affectlog-widgets dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <=1.26.2,>=1.17.2
  2. pandas <2.0.0,>=0.25.1
  3. scipy >=1.4.1
  4. tai-core-flask >=0.7.6
  5. scikit-learn >=0.22.1
  6. lightgbm >=2.0.11
  7. affectlog-erroranalysis >=0.5.4
  8. fairlearn ==0.7.0
  9. affectlog-utils >=0.4.2
  10. trustworthyai ==0.0.6

Compatibility and release files

affectlog-widgets publishes 1 wheel and 1 source archive for version 0.0.6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .