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.
Tags: Videos, Webinars, Tutorials, Salford-Systems