The old metric events had the same limitation as seems to have the davis anomaly detector:
I. have a "slow" metric/timeseries, where a metric data point is produced only every hour. In a normal Notebook/query I can easily apply the Anomaly Detection (Auto) with whatever window or datapoints I want, and it works fine.
However the Anomaly Detectors expect a metric resolution of 1 minute:
IMO for the anomlay detection it doesn't matter if the datapoints are far apart or not, it is just the amount of datapoints that is relevant, right? So for a "slow" metric I'd like to analyze a longer timeframe of 72h (=72 datapoints) and not just e.g 1h with - in a one minute requirement - 60 datapoints.
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