Working with markups

This section provides information on working with markups.

In the Models section, you can create, modify, and delete markups. If required, you can view the graph to see the data time intervals that the ML model will use for training and/or inference.

Markups are used as training or inference indicators to point to data time intervals that the ML model can use for training or inference. To generate an inference indicator, you can select previously created markups when creating or modifying ML model settings. To generate a learning indicator, you can select previously created markups when configuring the training settings of neural network elements of the ML model.

A set of criteria used to determine the data time intervals on which the ML model performs the training.

A set of criteria used to determine the data time intervals on which the ML model performs the inference.