Deleting the training setup for an algorithm
You can delete the training setup for any of the existing algorithms.
About this tasks
If an algorithm training setup has associated AI models, then the action of deleting the training setup for the algorithm automatically removes any currently deployed model generated based on that training setup. It then deletes all of the models associated with this training setup.
Before you begin
You must have saved at least one algorithm training setup, as described in Setting up training for trainable AI algorithms.
Procedure
- From the AI Model Management, click the options menu for the algorithm training setup that you want to delete.
- Click Delete.
Reference information
The following information is referenced in this task.
List of training setups for an algorithm
| Column | Description |
|---|---|
| Version | Latest version of the model. A new version of the model is generated every time the training setup for the algorithm is run. |
| Deployed version | Currently deployed version of the model. If training is scheduled and deployment is automatic, then the value in this field always matches the value in the Version field. |
| AI algorithm | The AI algorithm related to this record. Possible values are: Change risk, Log anomaly detection, Similar tickets, and Temporal grouping. |
| Schedule | Displays the schedule frequency (Daily, Weekly, Biweekly, or Monthly). If no schedule was set, then this field displays the text Run manually. |
| Last trained | Date and time this training setup was last run. If it has never been run then this field is blank. |
| Status | Displays one of the following status values: (a) Not started: this training setup has not yet been run; (b) Training: the training setup is currently running; (c) Training queued: training is currently waiting on another training job to complete; (d) Training complete: the most recent training setup ran was successful; (e) Failed: Training failed. |