Threshold-based anomaly alerting

[milhtp]

Is your feature request related to a problem? Please describe. In anomaly detection, it would be helpful to have a configuration available where anomaly alerts are only triggered if the metric value exceeds a specific threshold. For example, I might want to detect anomalies in row counts but only alert if the count is over 20 (to reduce noise from small fluctuations in low-volume tables).

Describe the solution you'd like Optional config that allows you to set upper / lower thresholds. When set, values will only be flagged as anomalies when they cross those thresholds within the detection period, AND have a significant anomaly_score.

        data_tests:
          - elementary.column_anomalies:
              upper_anomaly_threshold: 20
              lower_anomaly_threshold: 5

Describe alternatives you've considered where_expression applies to the whole model, not just the detection period

Would you be willing to contribute this feature? No

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