Overview of Deploying Models

The goal of a modeling project is to identify a champion model that a scoring application uses to predict an outcome. SAS Model Manager provides tools to evaluate candidate models, declare champion models, and inform your scoring officer that a predictive model is ready for validation or production.

To deploy a model from SAS Model Manager, you might use the following scenario:

Identify the model that outperforms other candidate models and declare this model to be a champion model. You can also flag challenger models for the champion model.
Test and validate the model before you declare the model ready for production.
Freeze the model version to prevent changes to the model.
Update your life cycle milestones.
Publish the champion model and challenger models (optional) so that you can deploy them to a production environment.

The following figure illustrates activities that might occur before a model is deployed.

Deploying Analytical Models

Note: Prior to SAS Model Manager 12.1, all versions of a project could contain a champion model, and one of the tasks in deploying models was to set the version that contained the champion model as the default version for a project. Beginning in Model Manager 12.1, when you set a champion model, SAS Model Manager sets the version that contains the champion model as the default version. A project can have only one champion model. Therefore, the task of setting a default version has been eliminated.