Anomaly Detection. Time Series AR Deployment

This workflow deploys a previously trained auto-regressive model for anomaly detection:
- Select the date for deployment. Two months of its past values must be available.
- Loop over each frequency column
- Apply the previously trained auto-regressive model to the data
- Calculate 1st level alarms based on the prediction errors
- Calculate 2nd level alarms as the moving average of the 1st level alarms
- Trigger an action if a 2nd level alarm is active