# Model Monitoring

- [Quickstart](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/quickstart.md): Get familiar with NannyML Cloud by monitoring a hotel booking cancellation prediction model.
- [Data Preparation](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/data-preparation.md): How to prepare your data before using NannyML
- [How to get data ready for NannyML](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/data-preparation/how-to-get-data-ready-for-nannyml.md)
- [Tutorials](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/tutorials.md)
- [Monitoring a tabular data model](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/tutorials/monitoring-a-tabular-data-model.md): This tutorial explains how to monitor a tabular use case with NannyML
- [Monitoring with segmentation](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/tutorials/monitoring-with-segmentation.md): This tutorial explains what segmentation is, why you should use it, how you can use it, and its limitations.
- [Monitoring a text classification model](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/tutorials/monitoring-a-text-classification-model.md): Tutorial explaining how to monitor text classification models with NannyML
- [Monitoring a computer vision model](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/tutorials/monitoring-a-computer-vision-model.md): The tutorial explaining how to monitor computer vision models with NannyML.
- [How it works](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/how-it-works.md)
- [Probabilistic Adaptive Performance Estimation (PAPE)](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/how-it-works/probabilistic-adaptive-performance-estimation-pape.md)
- [Reverse Concept Drift (RCD)](https://docs.nannyml.com/cloud/v0.22.0/model-monitoring/how-it-works/reverse-concept-drift-rcd.md)


---

# 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.nannyml.com/cloud/v0.22.0/model-monitoring.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.
