Working With SPM® Command Line
This two-part series demonstrates the convenient facilities available for automation and command line processing in the Salford Predictive Modeler®.
Restoring Model Settings
In this video, we will review an easy method for restoring model settings. We walk through saving and resubmitting a command file. The advantage of saving the predictor and categorical variable list is that we can quickly restore information for future runs. (By taking advantage of saving a predictor list and a list of categorical variables, we can quickly restore information for future runs.) We can take advantage of saving a predictor and categorical variable list in order to quickly restore information for future runs.
This video will highlight how to reproduce a run using the Command file. We show how to edit and simplify the Command file. We then issue a command to create a Classic Output file. We create a Grove file that contains the model we are building, and finally, we recreate our run from a fresh start in SPM and demonstrate how to build another run with different settings.