Prerequisites

The exercises in this tutorial depend on some of the properties of the specific project, version, and models that were added in Tutorial 3: Importing Models, Scheduling Scoring Tasks, and Creating Reports and Tutorial 5: Creating Performance Monitoring Reports and Using Dashboard Reports. The folder path in the Project Tree is MMRootthen selectTutorial3then selectLoanthen select2012.
Before you define a model retrain task, complete the following tasks:
  • If you want to retrain the project champion model, ensure that the champion model is set.
  • Verify that the training data set that is used in Tutorial 3 has been registered in the SAS Metadata Repository using SAS Management Console, so that you use the same data set as the training data source.
  • Verify that the appropriate project and model properties are set.
    Here is a list of properties:
    Classification Project Properties
    • Training Target Variable: BAD
    • Target Event Value: 1
    • Class Target Level: Binary
    • Output Event Probability Variable: score
    Prediction Project Properties
    • Training Target Variable: DEBTINC
    • Class Target Level: Interval
    • Output Precdiction Variable: P_DEBTINC
    Model Properties
    • Score Code Type: DATA step
  • Verify that all of the project output variables are mapped to the corresponding model output variables.