This repo contains example notebooks and accompanying documentation for using Fiddler.

Examples

The goal of these example notebooks is to give you a quick start on various Fiddler capabilities using different model tasks, data types, and use cases. You can also use these as a reference guide for setting up the monitoring of your own models in Fiddler.

To get started

Use the projects in this repo to onboard models and data to illustrate model monitoring and explainability.
This repo contains the example notebooks listed below. You can launch them in a Google Colab environment right from here:

The Basics

1. ML - Simple Monitoring Quickstart
2. LLM - Simple Monitoring Quickstart
3. Managing Model Versions with Fiddler
4. User-defined Feature Impact Upload

Use Case Specific

1. Image/Computer Vision Model Monitoring
2. NLP Model Monitoring - Multiclass Classification
3. Class Imbalance Drift Detection
4. Ranking Model - Monitoring and Explainability

License

This project is licensed under the MIT license. See the LICENSE file for more info.

Want to learn more?

Additional useful links:

• Documentation
• Fiddler Blog
• Fiddler Resource Library