- Point Explainability — explain a single prediction and the feature contributions behind it
- Global Explainability — understand overall feature impact across your model
- Artifacts and Surrogates — how Fiddler uses model artifacts and surrogate models to generate explanations
- Flexible Model Deployment — deploy model artifacts for full explainability support
Explainability
Fiddler’s explainability (XAI) capabilities help you understand why your models make the predictions they do — at both the individual-prediction and whole-model level — so you can debug, validate, and build trust in production models.