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In the training period before the anomaly alerts are enabled, the machine learning algorithms will use the data to learn different patterns (baselines) for all metrics that are included in the anomaly detection.
Even after the initial 7 days of training is done, the ML will continue to learn on new data for increased accuracy of anomaly detection.
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