I trained an XGBoost regressor, and I'm looking for a way to interpret new instances that the model will receive in production.There's a nice solution for classification models (Lime), but it doesn't offer explanations to regression problems. Does anyone know of an existing explainer for regressions?
Explaining instances of a machine learning regressor
machine learning;regression