- Release Notes
- Requirements
- Installation
- Getting Started
- Projects
- Datasets
- ML Packages
- Pipelines
- ML Skills
- ML Logs
- Document Understanding in AI Fabric
- Basic Troubleshooting Guide
Examples
This section has example ML Packages to help you get started building your own.
process_data
. In addition, it offers an example on saving
artifacts to pipeline output.
You can download this retrainable example from here.
This is a template/boilerplate ML Package. The ML Package has all the functions needed to deploy and train however, it does not do anything functional. It is meant to be informative and can be used as a template to start building your own ML Packages. Like Iris Flower Classifier it shows an example on how to split data and save artifacts. This package also shows one way in which a model with transfer learning might be structured.
You can download this retrainable example from here.