Working with ML model templates

This section provides instructions on working with ML model templates.

You can create a template of an existing ML model to reuse its algorithm structure, set of elements, and training state at the time of the template creation. You can use a created template to add new ML models.

If the original ML model used as a template was created manually, you can add neural network elements and/or elements based on diagnostic rules to the ML model created based on such template, as well as modify or delete them.

If the original ML model used to create a template was imported to Kaspersky MLAD, the set of elements of the ML model created based on such a template cannot be changed.

Before inference, the ML model needs to train all its neural network elements. You can also start inference if the ML model has been published.