Setting up training for metric anomaly detection
Set up training for this AI algorithm to detect anomalous behaviour in your metrics and notify you by generating an alert when they occur.
For more information on the metric anomaly detection AI algorithm, see About metric anomaly detection.
About this task
There are multiple parts to this task:
- Starting the training setup
- Getting started
- Deciding how to run the training
- Deciding how to deploy the training
- What to do next
Starting the training setup
Go to the AI Model Management and complete some setup tasks.
- In the Cloud Pak for AIOps home page, click the navigation icon at the upper-left corner of the screen to go to the main navigation menu.
- In the main navigation menu, click Operate > AI model management to open the AI Model Management.
- In the AI algorithms tab, click Set up training within the Metric anomaly detection tile.
Getting started
Review the information on this page. It explains what this AI algorithm is, how it will help in your production environment, and provides information on the data needed for the algorithm.
- Review the information on this panel to understand more about metric anomaly detection.
- Click Next to move to the next panel.
Schedule the training
Decide whether to run the training setup on demand or to schedule it to run on an ongoing basis.
- Proceed as follows:
- To run the training setup on demand, ensure that Schedule to run is set to Off, and go to step 3.
- To run the training setup on a schedule, set Schedule to run to Yes, and go to the next step.
- Schedule the run. Click this option to specify a schedule. You can specify a start date with an optional end date, a frequency, and a time based on Coordinated Universal Time (UTC).
- Click Next to move to the next panel.
Deciding how to deploy the training
The option to review training results before deployment is disabled for this algorithm. The metric anomalies generated by training the algorithm will automatically be displayed in the Alert Viewer when training is complete.
Click Done to save the training setup for the algorithm.
What to do next
Now that the training setup is complete, you can train the algorithm. For more details, see Generating AI models.