InterpretML

Fit interpretable models. Explain blackbox machine learning.

Hosts static files specific to documentation.

A tool to convert EBM models to ONNX

Unified slicing for all Python data structures.

Generate Diverse Counterfactual Explanations for any machine learning model.

Testing Language Models for Memorization of Tabular Datasets.

Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

Create sparse and accurate risk scoring systems!

A Natural Language Interface to Explainable Boosting Machines

webpage for InterpretML