How AI describes What-If Tool

The What-If Tool is an open-source tool that visually probes trained ML models with minimal coding, enabling users to test performance on hypothetical inputs, analyze feature importance, and compare model behavior across subsets and fairness metrics. It integrates with Colab, Jupyter, Cloud AI Notebooks, TensorBoard, TFMA, and Fairness Indicators, and supports models served by TF Serving, Cloud AI Platform, TF Estimators, or wrapped in Python functions across binary classification, multiclass classification, and regression on tabular, image, and text data. Users can ask questions about models, features, and data points, access tutorials and demos, and contribute to development via GitHub.