Filter Models List

Use filters on the Models page to quickly narrow the list by model status or by project. This helps you focus on models that are ready for deployment (registered) or models within a specific project workspace.

Statuses

• Registered: The model has been registered (e.g., to the platform registry or Data Pipeline).

• Unregistered: The model exists in the Models list but has not been registered yet.

Access Filters

1. Open Data Science Lab > Models.

2. The Fitler option is located on the top right side of the Models list.

3. At the top of the Models list, locate the filter controls:

   • Status: Registered / Unregistered

   • Project: Project selector (drop-down)

Filter by Status

1. On the Models page, open the Status drop-down.

2. Select Registered or Unregistered.

3. The list updates to show only models matching the chosen status.

Tip: Use Registered to see models that are ready for reuse, deployment, or pipeline execution.

Filter by Project

1. On the Models page, open the Project drop-down.

2. Select the target project.

3. The list updates to show only models created or imported within that project.

Note: External (imported) models appear with E and Ext badges for quick identification.

Combine Filters (Status + Project)

1. Choose a Project in the project selector.

2. Choose a Status (Registered or Unregistered).

3. The list applies both filters, showing only models that satisfy both criteria.

Clear or Reset Filters

• Use the Reset option to clear the applied filter criteria.

• The entire model list will be displayed again with all the available models.

Best Practices

• Before deployment: Filter by Registered to confirm candidates for pipeline or production use.

• During curation: Filter by Unregistered within a specific project to find models that still need review or registration.

• Model hygiene: Periodically filter by Unregistered to register, archive, or delete stale models.