Prerequisites for Retraining a Model

Before you define and execute a model retrain task, complete the following prerequisites:
  • If you want to retrain the project champion model, ensure that the champion model is set. For more information, see Champion Models.
  • Verify that the training data set that you want to use as the training data source has been registered in the SAS Metadata Repository, either by using SAS Management Console or by defining a libref using the Edit Start-up Code window. For more information, see Train Tables.
  • Verify that the appropriate project and model properties are set. Here is a list of properties.
    Classification Model Project Properties
    • Training Target Variable
    • Target Event Value
    • Class Target Level
    • Output Event Probability Variable
    Prediction Model Project Properties
    • Training Target Variable
    • Class Target Level
    • Output Prediction Variable
    Model Properties
    • Score Code Type
  • Verify that all of the project output variables are mapped to the corresponding model output variables. For more information, see Map Model Variables to Project Variables.
  • Verify that the retrain file that is specified in the model template exists in the model folder that you want to retrain and that the content is correct.