Skip to main content

Generate your anomaly test with Elementary AI

Let our Slack chatbot create the anomaly test you need.
 
detection_delay:
  period: < time period > # supported periods: hour, day, week, month
  count: < number of periods >
The duration for retracting the detection period. That’s useful in cases which the latest data should be excluded from the test. For example, this can happen because of scheduling issues- if the test is running before the table is populated for some reason. The detection delay is the period of time to ignore, after the detection period.
  • Default: 0
  • Relevant tests: Anomaly detection tests with timestamp_column
Detection Delay 
models:
  - name: this_is_a_model
    data_tests:
      - elementary.volume_anomalies:
          arguments:
            detection_delay:
              period: day
              count: 1

​
How it works?

The detection_delay param only works for tests that have timestamp_column configuration. It does not affect the other duration parameters, like detection_period or training_period.
⌘I