models:
  - name: model_name
    config:
      elementary:
        timestamp_column: updated_at
    tests:
      - elementary.dimension_anomalies:
          dimensions:
            - device_os
            - device_browser
          exclude_final_results: 'value > 1000 or average > 10'

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exclude_final_results: [SQL where expression on fields value / average]

Failures in dimension anomaly tests consist of outliers in row count of each dimension. Some dimensions may be considered insignificant compared to others, and you may prefer not to receive alerts for them. With this parameter, you can exclude these dimensions from the results set and avoid such failures.

  1. value - Max row count of a dimension during the detection period.
  2. average - The average rows count of a dimension during the training period.
  • Supported values: valid SQL where expression on the columns value / average
  • Relevant tests: Dimension anomalies
models:
  - name: model_name
    config:
      elementary:
        timestamp_column: updated_at
    tests:
      - elementary.dimension_anomalies:
          dimensions:
            - device_os
            - device_browser
          exclude_final_results: 'value > 1000 or average > 10'