trains calibration models on the training set of predicted/actual value pairs.model_idx specifies which models should be trained.
calibrate_me(actual, predicted, model_idx)vector of observed class labels (0/1)
vector of uncalibrated predictions
a single number from 1 to 5, indicating which calibration model should be implemented, 1=hist_scaled, 2=hist_transformed, 3=BBQ_scaled, 4=BBQ_transformed, 5=GUESS
depending on the value of model_idx, the respective calibration model is build on the input from actual and predicted