Prerequisites for Retraining a Model

Before you can retrain a model, 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, and is available in the Data category view.
  • Verify that the appropriate project and model properties are set:
    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
    For more information, see Project Properties and Scoring Model Properties.
  • 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 list of model files. The retrain file must appear on the Model Properties page for the model that you want to retrain. Ensure that the content is correct.
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Last updated: February 22, 2017