Factual package intelligence from PyPI

lrp-pf-auc 0.1.6 package intelligence

Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.

pip install lrp-pf-auc

Current version
0.1.6
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
80.4 KiB
Release history
6 releases with files
Median release cadence
0 days

lrp-pf-auc dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib
  2. numpy
  3. opencv-contrib-python-headless
  4. scikit-learn
  5. torch >=1.10.0
  6. torchvision >=0.11.1

Compatibility and release files

lrp-pf-auc publishes 1 wheel and 1 source archive for version 0.1.6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.9.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .