Mapie is a Python package compatible with Scikit-learn. It provides conformal prediction methods for quantifying uncertainty in regression and classification models. It uses a model-agnostic approach, making it easy to wrap around Scikit-learn models. The package supports prediction intervals and sets with theoretical guarantees through techniques like split conformal prediction and cross-validation. Mapie is applied in fields such as healthcare, finance, and engineering, where reliable predictions and risk management are critical. It is particularly useful for presenting confidence intervals in diagnostics and risk assessments in financial markets.
