Using SAS Model Manager,
you can retrain models to respond to data and market changes. Retraining
models enables you to update models and to 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 that stores the retrained
model information. The training data source contains new data for
retraining the selected models.
The model retrain task
enables you to specify a location to store 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. The model
retrain task also enables you to specify the report options, including
the name, format, and style of the comparison report. When you define
e-mail notifications for a model retrain task, they are sent after
you execute a model retrain task.
By default, the champion
model 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, R models, or
SAS/STAT linear models
can be retrained.
In this tutorial, you
perform the following tasks:
-
define a model retrain task
-
execute the model retrain task
-
view the new retrained models and
comparison report