# Supervised Learning

The canary score calculation is based on the ‘String pattern’ and its ‘Topic’ provided in the template.

The system can be trained to learn from supervised learning.

### How to train <a href="#how-to-train" id="how-to-train"></a>

To train the system, from the ‘Reclassify’ option of the ‘Log Score’, instruct the system to

* Ignore an Error or Warning
* Mark an Error as Warning or vise versa
* Even move the log from ignored list in to error or warning

Now the system is ready for ‘Rerun’ equipped with the new learning.

![](https://2047464521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MBEa1hoX6SqpDj-ymNs%2Fuploads%2FnKYetekaPz0F1ujTDjgA%2F125.png?alt=media\&token=d19da5c0-1e54-4c8e-b2cf-e0f95d0b4cda)

The system will intelligently classify similar logs as that of the user provided feedback for efficient scoring.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.opsmx.com/opsmx-context-graph-and-data-fabric/additional-resources/previous-releases/isd-3.12/data-and-intelligence-module-autopilot/autopilot/supervised-learning.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.