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

Page top