Skip to content

Value Range

Why monitor value range?

Monitoring changes in the value range of numeric features / raw inputs helps to locate and examine anomalies in the model's input. For example, setting the monitor for a feature named hour_sin with the range -1 <= x <= 1 will help us discover issues in model input.

Detection Methods

For this monitor type, you can select the following detection methods:

Value Range Detection Methods

  • Absolute Values - The selected features / raw inputs are lower or higher than a specific value.
  • Change In Percentage - Detects change in a configured percentage between the values of the inspected data and the values reported in a time period before the data was collected.
  • Compared To Segment - Detects change in a configured percentage between the values of the inspected data and the values in a different data segment.
  • Compared To Training - Detects change in a configured percentage between the values of the inspected data and the values reported in the training set.

Configuration

Start from choosing the features / raw inputs you'd like to monitor. You can select as many as you want :-)

Value Range Configuration

Note that the monitor configuration may vary between the detection method you choose.