Factual package intelligence from PyPI
This package is a brief wrap-up toolkit built based on 2 explanation packages: LIME and SHAP. The package contains 2 explainers: LIMEBAG and SHAP. It takes data and fitted models as input and returns explanations about feature importance ranks and/or weights. (etc. what attribute
pip install lasexplanation
PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.
LASExplanation publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .