Overview of Retraining Models

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 Retraining models enables you to update out-of-date models and improve model performance.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 edit a model retrain definition, you can select multiple models to be retrained at the same time. The retrain definition for a model 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. Email notifications can also be specified as part of a model retrain definition and are sent after you execute a model retrain definition.
By default, the champion model for the selected project is selected for retrain. If the Register new trained model option was selected after you execute a model retrain definition, the new models are registered to the destination version. The comparison report is available on the Results tab of the Retrain page. The definition is executed on the SAS Application Server that is specified. The report folder is stored on the SAS Content Server.
Retrain Page Overview
Note: Only R models and those that are created by using SAS Enterprise Miner, SAS/STAT, and SAS/ETS can be retrained. Retraining of SAS Factory Miner models is currently not supported in SAS Model Manager.
Last updated: February 14, 2017