This workflow trains an auto-regressive model for anomaly detection: - Filter the data to training data covering only normal functioning - Loop over each frequency column at a time - Train an auto-regressive model using 10 past values as predictors - Calculate in-sample prediction error statistics - Save the model and prediction error statistics for deployment