A Python library that turns the predictions of any model into confidence intervals — When you build a predictive model for a numeric target variable, classical Python libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost, Keras yield point predictions. Unfortunately, Point predictions are always wrong. In fact, suppose that you have a model that predicts the selling price of houses in San Francisco. The model…