Kaspersky Machine Learning for Anomaly Detection

Changing an ML model element based on a diagnostic rule

You can change the settings of an ML model element based on a diagnostic rule.

Parameters cannot be changed if the ML model is assigned the Ready for publication or Published status.

System administrators and users who have the Edit untrained models permission from the Manage ML models group of rights can edit elements of ML models. The functionality is available after a license key is added.

To change an element of an ML model based on a diagnostic rule:

1. In the main menu, select the Models section.
2. In the asset tree, select the element based on a diagnostic rule that you want to edit.

   A list of options appears on the right.

3. In the upper-right corner of the window, click the Edit button.
4. Adjust the diagnostic rule settings, if needed. For a description of the settings, see the instructions on adding a diagnostic rule-based ML model element.

   Editing the Reminder period (sec), Period of recurring alert suppression (sec), Anomaly observation interval (sec), and/or Anomaly duration share in interval settings changes anomaly detection sensitivity. These parameters are unavailable for editing if the ML model is in the Historical inference in progress or Streaming inference in progress state.

5. In the upper-right corner of the window, click the Save button.
6. If Grid step (sec) has been edited, confirm the changes.