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:
  1. Identify the model that outperforms other candidate models and declare this model to be a champion model.
  2. Freeze the model version to prevent changes to the model.
  3. Test and validate the model before you declare the model ready for production.
  4. Set the model version as the default version and update your life cycle milestones.
  5. Publish or export the model so that you can deploy the champion model to a production environment.
The following figure illustrates activities that might occur before a model is deployed.
Deploying Analytical Models
Model Deployment Steps