This article explains about how to Create Training Definition for Log Anomaly detection in Watson AIOps.
The article is based on the the following
- RedHat OpenShift 4.6 on IBM Cloud (ROKS)
- Watson AI-Ops 3.1.0
-
Goto the page
Data and Model Management
-
Click on
Log anomaly detection
card
- Click on
Create training definition
to create a new training definition.
- Click on
Add data
button
- Click on
Add
button to add the data set.
Here last 7 days is choosen by default. Make sure you click the list box and choose the current day + 1 for the training.
The training definition is created.
- Click on
Next
button.
-
Enter value in
Name your training definition
text box. You can enter any value here for your reference. -
Click on
Next
- Review the values and Click on
Create
button.
- The training definition is created for the log anomaly detection.