#计算机科学#Fit interpretable models. Explain blackbox machine learning.
webpage for InterpretML
interpretML
#计算机科学#A notebook exploring the paper "InterpretML: A Unified Framework for Machine Learning Interpretability" (H. Nori, S. Jenkins, P. Koch, and R. Caruana 2019).
Explainable Boosting Machine (EBM) Multiclass Classifier with Shapley Explanations
#计算机科学#Generate Diverse Counterfactual Explanations for any machine learning model.
A tool to convert EBM models to ONNX
#计算机科学#Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
#自然语言处理#A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.