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New Values

Why monitor new values?

Monitoring new values of categorical features / raw inputs helps to locate and examine changes in the model's input. For example, setting the monitor for a feature named state will help us discover a new region for which the model asked to predict results.

Detection Methods

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

New Values Detection Methods

  • Change In Percentage - Detects change in a configured percentage or number of new values 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 or number of new values between the values of the inspected data and the values in a different data segment.
  • Compared To Training - Detects change in a configured percentage or number of new values 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 :-)

New Values Configuration

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