Registering models for tracking with AI Factsheets

Tracking a model from the model details page of a project, space, or catalog

1. Click a model name to view the model details in a project, space, or catalog.

2. Click Track this model.

3. Choose to associate the model with an existing model use case or create a new use case.

4. When you save the tracking information, a link to the model inventory is added to the model details page. Click the link to open the model use case in the inventory.

5. Optionally update the model use case. For example, add tags, supporting documentation, or other details.

When you view the model detail page, tracking information is displayed.

Registering a model in a notebook

If your model is in a notebook, you can insert code similar to this sample code at the end of the notebook to register the model with a model use case:

model = facts_client.assets.get_model(model_id=<model id>,container_type="space or project",container_id=<space id or project id>)

model.add_tracking_model_usecase(model_usecase_name=<name>,model_usecase_desc=<description>,model_usecase_catalog_id=<catalog id where model use case should be created>)

For details on using Python commands to interact with the model inventory, see Python client documentation and the IBM_AIGOV_FACTS_CLIENT documentation.

Removing a model from an use case (untracking)

Click Untrack to disassociate the model from the model use case.