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On-premise users: click in-app to access the full platform documentation for your version of DataRobot.

NextGen experience > Registry > Models

Models

On the Models tab in the Registry, models are listed as registered models containing deployment-ready model packages as versions. Each package functions the same way, regardless of the origin of its model. From the Models tab, you can generate compliance documentation to provide evidence that the components of the model work as intended and the model is appropriate for its intended business purpose. You can also deploy the model to production.

Topic Description
Register a DataRobot model Add a DataRobot model, from Classic or Workbench, to the Registry.
Register an external model Add an external model to the Registry.
Register a custom model Add a custom model from the model workshop to the Registry.
View and manage registered models View and manage registered models and model versions.
Generate compliance documentation Generate compliance documentation for a DataRobot model in the Registry.
View model insights View the Feature Impact insight to understand which features are driving model decisions, calculated using permutation importance or SHAP.
View and manage key values View and manage key values for a registered model version in the Registry.
Deploy a registered model Deploy a registered model version from the Registry.
Access global models Access and deploy pre-trained, global models for predictive or generative use cases.
Import model packages into the Registry Self-Managed AI Platform Import a model package (.mlpkg file) into the Registry in standalone, self-managed MLOps environments.
Updated March 5, 2025