> For the complete documentation index, see [llms.txt](https://docs.opsmx.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.opsmx.com/opsmx-1/opsmx-context-engine/additional-resources/previous-releases/isd-3.10/data-and-intelligence-module-autopilot/continuous-verification/supervised-learning.md).

# Supervised Learning

{% hint style="info" %}
This is an older version of the document. To view the most recent version of the document, click [here](https://docs.opsmx.com/products/data-and-intelligence-module-autopilot/autopilot/supervised-learning).
{% endhint %}

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.

![](/files/-MS1WKJTk0jeX27mZX_g)

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


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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-1/opsmx-context-engine/additional-resources/previous-releases/isd-3.10/data-and-intelligence-module-autopilot/continuous-verification/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.