Conformal Prediction, Machine Learning, Uncertainty, Forecasting, Open Source.
trains the underlying model, in this case, the popular Random Forest that turns to output good results without tuning out of the box. learner = RandomForestRegressor() learner.fit(X_prop_train, y_prop_train) y_hat_test = learner.predict(X_test) Step 2. The learned model is applied to the