Kaspersky Machine Learning for Anomaly Detection
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Working with the main menu  >  Managing ML models  >  Working with manually created ML models

Working with manually created ML models

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

The functionality is available after a license key is added.

When creating an ML model manually, you can add predictive ML model elements, elliptic envelope-based elements, and/or diagnostic rule-based elements, and edit or delete these.

The ML model needs to be trained before you can run inference on it. To do this, all predictive elements and elliptic envelope-based elements within the ML model must be pretrained. If necessary, you can view the training results of the elements. Elements based on diagnostic rules do not need to be trained, so they are considered to be pretrained.

In this section

Creating an ML model

Adding a predictive element to an ML model

Modifying an ML model predictive element

Adding an ML model element based on a diagnostic rule

Changing an ML model element based on a diagnostic rule

Adding an elliptic envelope-based ML model element

Editing an elliptic envelope-based ML model element
Article ID: 262147, Last review: Nov 21, 2024
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