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to update out-of-date models and improve model performance.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.
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 Decision Manager.