Changing the parameters of an element of an imported ML model
You can change some parameters of an element of an imported ML model.
System administrators and users who have the Edit model drafts permission from the Manage ML models group of rights can edit the settings of elements of imported ML models.
To change the parameters of an imported ML model element:
In the asset tree, select the ML model element that you want to change.
A list of options appears on the right.
In the upper-right corner of the window, click the Edit button.
In the Name field, specify the name of the ML model element.
Enter a description for the ML model element in the Description field.
If necessary, in the General element settings settings block, do the following:
In the Reminder period (sec) field, specify the period in seconds, upon reaching which the ML model will generate a repeated incident if anomalous behavior is retained in each UTG node.
The default value of this setting is 0, which corresponds to no reminders.
In the Period of recurring alert suppression (sec) field, specify the period in seconds during which the ML model does not log repeated incidents for the same element.
The default value of this setting is 0 (repeat incidents not suppressed).
In the Incident status drop-down list, select a status to be automatically assigned to incidents logged by the ML model element.
In the Incident cause drop-down list, select the cause to be automatically set for incidents logged by the ML model element.
In the Color of incident dot indicators field, select the color of the indicator points of the incidents logged by the ML model element on the graphs in the Monitoring and History sections.
In the Detection threshold field, specify a prediction error threshold value upon reaching which an incident is logged.
The detection threshold value was set after training an element of the imported ML model. Modifying this setting changes detector sensitivity.
In the Expert opinion field, specify the expert opinion to be automatically created for incidents logged by the ML model element.
In the upper-right corner of the window, click the Save button.