This repo contains example notebooks and accompanying documentation for using Fiddler.
The goal of these example notebooks is to give you a quick start on various Fiddler capabilities using different model frameworks and data types. You can also use these as a reference guide to upload your dataset and model along with production traffic that you want to monitor or explain using Fiddler.
Use the projects in this repo to onboard models and data to illustrate model monitoring and explainability.
This repo contains the projects listed below. You can launch them in a Google Collab environment right from here:
- Model Monitoring Quickstart with Sample Data
- LLM/GenAI Monitoring Quickstart with Sample Data
- Managing Model Versions with Fiddler
- XAI with Surrogate Models
- Adding Model Artifacts for XAI
- Image/Computer Vision Model Monitoring
- NLP Model Monitoring - Multiclass Classification
- Class Imbalance Drift Detection
- Ranking Model - Monitoring and Explainability
This project is licensed under the MIT license. See the LICENSE file for more info.
Additional useful links: