Kaspersky Machine Learning for Anomaly Detection

Modifying an ML model predictive element

You can edit the settings of an ML model predictive element.

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 edit an ML model predictive element:

1. In the main menu, select the Models section.
2. In the asset tree, select the predictive element 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 settings of the predictive ML model element, if needed. For a description of the settings, see the instructions on adding a predictive ML model element.

   Editing the Reminder period (sec), Period of recurring alert suppression (sec), Anomaly observation interval (sec), Anomaly duration share in interval, Detection threshold, and/or Smoothing factor 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 you have edited the neural network element architecture settings, and the options in Main settings and/or Window settings, confirm that you want to save the changes.

   After changes are made to these parameters, the ML model element must be retrained.

The element will be assigned the Not trained status.