Tracking a Python function

Track Python functions in an AI use case to meet governance and compliance goals.

You can add a Python function to an AI use case from a deployment space.

1. Open the deployment space that contains the Python function that you want to govern.
2. In the Asset column, click the Python function.
3. Click the AI Factsheet tab.
4. Click Track in AI use case.
5. Select an existing AI use case or follow the prompts to create a new one.
6. Choose an existing approach or create a new approach. An approach creates a version set for all assets in the same approach.
7. Choose a version numbering scheme. All of the assets in an approach share a common version. Choose from:
   • Experimental if you plan to update frequently.
   • Stable if the assets are not changing rapidly.
   • Custom if you want to start a new version number. Version numbering must follow a schema of major.minor.patch.

The factsheet now shows the AI use case and information about the tracked Python function. All collaborators for the use case can review details for the asset.

For a Python function, facts include creation details and information from evaluation metrics.