> For the complete documentation index, see [llms.txt](https://docs.nannyml.com/cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring.md).

# Model Monitoring

- [Quickstart](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/quickstart.md): Get familiar with NannyML Cloud by monitoring a hotel booking cancellation prediction model.
- [Data Preparation](https://docs.nannyml.com/cloud/v0.23.0/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/v0.23.0/model-monitoring/data-preparation/how-to-get-data-ready-for-nannyml.md)
- [Tutorials](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/tutorials.md)
- [Monitoring a tabular data model](https://docs.nannyml.com/cloud/v0.23.0/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/v0.23.0/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/v0.23.0/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/v0.23.0/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/v0.23.0/model-monitoring/how-it-works.md)
- [Probabilistic Adaptive Performance Estimation (PAPE)](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/how-it-works/probabilistic-adaptive-performance-estimation-pape.md)
- [Reverse Concept Drift (RCD)](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/how-it-works/reverse-concept-drift-rcd.md)
- [Custom Metrics](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/custom-metrics.md): Monitoring Models with Custom Metrics
- [Creating Custom Metrics](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/custom-metrics/creating-custom-metrics.md): How do I create a custom metric
- [Writing Functions for Binary Classification](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/custom-metrics/creating-custom-metrics/writing-functions-for-binary-classification.md): Writing the functions needed to create a custom binary classification metric.
- [Writing Functions for Multiclass Classification](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/custom-metrics/creating-custom-metrics/writing-functions-for-multiclass-classification.md): Writing the functions needed to create a custom multiclass classification metric.
- [Writing Functions for Regression](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/custom-metrics/creating-custom-metrics/writing-functions-for-regression.md): Writing the functions needed to create a custom regression metric.
- [Handling Missing Values](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/custom-metrics/creating-custom-metrics/handling-missing-values.md): Advanced Tutorial. Handling missing values with your custom metric functions.
- [Advanced Tutorial: Creating a MTBF Custom Metric](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/custom-metrics/creating-custom-metrics/advanced-tutorial-creating-a-mtbf-custom-metric.md): Creating a MTBF custom metric using the timestamp column from chunk data.
- [Adding a Custom Metric through NannyML SDK](https://docs.nannyml.com/cloud/v0.23.0/model-monitoring/custom-metrics/adding-a-custom-metric-through-nannyml-sdk.md): Adding Custom Metrics programmatically through NannML SDK