Kaspersky Machine Learning for Anomaly Detection

Creating a template based on an ML model

System administrators and users who have the Create model templates permission from the Manage ML models group of rights can create templates based on ML models. The functionality is available after a license key is added.

You can create an ML model template based on a previously added ML model. The created templates retain the algorithm structure, set of elements, tag composition, and the training state of the source ML model.

You can generate a template from an existing ML model if all predictive and elliptic envelope-based elements have been trained, and conditions have been set for all diagnostic rule-based elements.

To create a template based on an ML model:

1. In the main menu, select the Models section.
2. In the asset tree, next to the name of the ML model based on which you want to create a template, open the vertical menu and select Create template.

   A list of options appears on the right.

3. Specify the name of the template in the Name field.

   You can enter up to 100 characters.

   By default, a template is assigned a name in the format Template_<ML model name>_<date and time of template creation>.

4. To change the names of the template tags, in the Template tag name column specify the new names for the relevant tags.

   The template tags are automatically assigned the names of the tags employed in the ML model that was used to create the template. You can specify any other names for template tags. For example, you can use the functional descriptions of the tag roles. The names of the template tags do not have to match the names of the tags of the ML model that was used to create the template.

5. Click the Save button.

The new ML model template appears in the Templates group of the asset tree. The Templates group is created automatically and displayed as part of the selected section of the asset tree.