Kaspersky Machine Learning for Anomaly Detection

Creating a template based on an ML model

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.

To create a template based on an ML model:

1. In the main menu, select the Models section.
2. Click the vertical menu  next to the ML model that you want to use as the basis for creating the template.
3. Select Create template.

   The Creating a template pane opens on the right.

4. Enter the template name in the Template name field.

   You can enter up to 100 characters.

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

   If the tags used in the ML model you are using to create the template were loaded or created under Settings → Tags, their names are automatically assigned to the tags in the template. If a tag used in the ML model was not detected in Kaspersky MLAD, this tag will be assigned the default name in the format Test <Model tag ID>.

   You can specify a template tag name different from the tag names in the Settings → Tags section. Template tags and tags in the Settings → Tags section are mapped based on the IDs of the ML model tags, which you can specify when creating an ML model from a template.

6. Click the Create button.

The created ML model template is displayed on the Templates tab.