Autonomous Scoring
Last updated
Last updated
Autonomous scoring works even if there is no baseline. It can work on a single file, i.e., only on v2 log files. Autonomous scoring works based on the following factors:
Autonomous scoring is ideal for scenarios where you only have the v2 log files but it will also work if you have both v1 and v2 logs.
Hence, Autonomous scoring will also work if no v1 log file is provided.
Score reduction is done only on clusters that are unique to v2 logs.
Clusters belonging to v1 logs are ignored for score reduction.
Score reduction is normalized by the total number of unexpected clusters in v2 and v1v2.
Score Reduction is higher at higher sensitivity levels.
Score Reduction is higher for clusters with higher criticality.
By default, autonomous scoring will give a score of 0 (fail) whenever there is a critical error.
To set the Autonomous Scoring Algorithm follow the steps below:
Users can select the Autonomous Scoring algorithm while creating a "Log Template". Users can set the Autonomous Scoring algorithm after creating an application.
If you haven’t created an application already, click here.
To know more about how to create a Log Template, refer here.
From the application dashboard, click "Setup" and click “Analysis Templates” and then click "+New Template" button.
After clicking “+New Template” button, two options appear for you to choose the type of template you want to create. Select the “Log Template” from the available options as shown in the below image.
Click the Scoring Algorithm drop-down and select Autonomous Scoring as shown in the image below:
