Overview of Retraining Models

Using SAS Model Manager, you can retrain models to respond to data and market changes. Retraining models enables you to update out-of-date models and improve model performance. When you define a model retrain task, you can select multiple models to be retrained at the same time. The definition of the model retrain task includes the destination version and training data source. The destination version is an existing version or new version that is associated with the selected project and stores the retrained model information.
The training data source contains new data for retraining the selected models. You can also specify a location to store the comparison reports and retrain results. When you select the models to include in the comparison report, you can use the training data source or select a different data source to compare the performance of the new models. You can also specify the report options, including the name, format and style of the comparison report. E-mail notifications can also be defined for a model retrain task and are sent after you execute a model retrain task.
By default, the champion model in the default version for the selected project is retrained if a model is not selected. After you execute a model retrain task, if the Register new trained model option was selected, SAS Model Manager registers the new models to the destination version. The comparison report is stored in the Model Retrain folder, as well as in the report folder on the SAS Workspace Server that was specified when the model retrain task was defined.
Note: Only models that are created by using SAS Enterprise Miner or R models can be retrained.
To retrain models in SAS Model Manager, take the following steps: