v0.3: Explainer API - Githubissues

marcoancona / DeepExplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

https://arxiv.org/abs/1711.06104

MIT License

720 stars 133 forks source link

v0.3: Explainer API #35

Closed marcoancona closed 5 years ago

marcoancona commented 5 years ago

Explainer API to produce to evaluate a method multiple times on different data without creating new graph operations. See README for instructions on how to use it. #31 #34 #32