This article explains about how create to AI-Model Definition for the following in Watson AIOps.
- Log Anomaly detection
- Similar Incidents
- Enabling Story Creation Policy
The article is based on the the following
- RedHat OpenShift 4.8 on IBM Cloud (ROKS)
- Watson AIOps 3.3.0
1. Create AI-Model Definition for log anomaly
- Click on
AI Model Management
link

- Click on
Configure
link in Log anomaly detection - natural language
card

- Click on
Next

- Enter the below field values
- Configuration Name
- Configuration Description
- Click on
Next

- Enter the below field values
- Custom : On
- Start Date: Yesterday date
- End Date: Tomorrow date
(While training, the logs date should fall under this date range)
- Click on
Next

- Click on
Next

- Click on
Next

- Enter the below field values
- Deployment Type : On Completion
- Click on
Done

- See the status as
Configured

- Click on
Manage
tab.
The Log Anomaly model training definition is displayed.

2. Create AI-Model Definition for Similar Incidents
- Goto the page
AI Model Management

- Click on
Configure
link in Similar Incidents
card

- Click on
Next

- Enter the below field values
- Configuration Name
- Configuration Description
- Click on
Next

- Click on
Next

-
Click on Done
-
Similar incidents training definition is created

- Click on
Manage
tab.
The Similar incidents training definition is displayed.

3. Enabling Story Creation Policy
This section about how to enable a Default story creation policy for high severity alerts
in Watson AIOps.
-
Goto Automation > Policies
-
Click on Disabled
for the policy Default story creation policy for high severity alerts
This will enable the policy.

- The policy is enabled

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