Working with manually created ML models

This section provides information about working with manually created ML models and their elements.

If you create an ML model manually, you can add elements of ML models based on neural networks and/or diagnostic rules, modify or delete them.

The ML model needs to be trained before you can run inference on it. To do this, all neural network elements within the ML model need to be pretrained. If necessary, you can view the training results of the neural network elements. Elements based on diagnostic rules are considered as trained.

You can also start inference after publishing the ML model. After inference is started, Kaspersky MLAD will register incidents.

In this section Creating an ML model Adding a neural network element to an ML model Modifying a neural network element of the ML model Adding an ML model element based on a diagnostic rule Changing an ML model element based on a diagnostic rule Removing an ML model element

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