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Create Training Definition for Log Anomaly

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
  1. Goto the page Data and Model Management

  2. Click on Log anomaly detection card

  1. Click on Create training definition to create a new training definition.

  1. Click on Add data button

  1. 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.

  1. Click on Next button.

  1. Enter value in Name your training definition text box. You can enter any value here for your reference.

  2. Click on Next

  1. Review the values and Click on Create button.

  1. The training definition is created for the log anomaly detection.