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you to update out-of-date models and improve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 Model Manager.