Importing Projects

SAS Model Studio can be used to import projects that have been created from another forecasting application. If you have projects from SAS Forecast Studio, see Importing Projects from SAS Forecast Server.

You can import SAS Visual Forecasting projects that you own. SAS administrators can import any project. The project must be in ZIP format.

• Projects from a release of SAS Visual Forecasting prior to the SAS Viya 4 platform must be imported using SAS Environment Manager. See Promotions and Upgrades within the SAS Viya Platform for complete instructions.
• The owners of projects that are being imported must sign in to the target environment before the projects can be imported.
• The source data for the project must already be loaded to the server before importing the project. If the project has additional attributes or eventan incident that disrupts the normal flow of any process that generates the time series. Examples of events are holidays, retail promotions, and natural disasters. definitions from an external data source, those items must also be loaded to the server. SAS Visual Forecasting can load these tables to CAS during the import.
• If the project requires any custom pipeline or node templates, these must be promoted to The Exchange on the server before importing the project.
• If the project is shared and the same users should access the project on the target environment, the project sharing must be re-created after it is imported. Project sharing permissions are not imported.
• If the project uses any pluggable modeling nodes, the modeling nodes are not updated to support any new features for the new release. For more information, see Pluggable Modeling Nodes.

Follow these steps to import a project to SAS Visual Forecasting.

1. From the Projects page, click the menu icon () over the right side of the project list and select ImportForecasting.

   The Import Forecasting Project window is displayed.

2. For the File (zip or far) field, click Browse to provide the location and name of the ZIP file of the project to be uploaded.
3. For Data, click Browse to provide the location on the target server where the project data is located. The variables in the selected data set must match the variables in the uploaded project.
4. Use the Destination field to select the folder where the project is stored. Select from one of the following options.
   • Use the project's original location — Choose this option to store the project using the name of the folder where it was stored in the previous deployment. If the folder does not exist, it is created for you.
   • Select the import location — If you select this option, the project is initially stored in My Folder or the folder that you last selected to store a project in. The drop-down list includes up to five of the most recently selected folders, if any.

     If you click Browse, the Choose a Location window opens for you to choose a different folder to store the project in.

     To create a new folder, select My Folder on the left and then click in the upper right corner.

     Select the folder to store the project in and click OK to return to the Import Forecasting Project window.

     Note: Many of the folders listed on the left side of the Choose a Location window can be selected but should be avoided. Selecting these folders makes the project visible to other users but does not grant access to all resources used within the project to the other users. This can unintentionally make the project available for other users. It can also lead to errors encountered when other users open and attempt to edit your project. For best results, use either My Folder or a folder that you or your system administrator has created for your use.

     Click OK to return to the Import Forecasting Project window.

5. Click Import.

The following message is displayed: The import process has started. You are notified when the import is complete.

You are notified when the project is successfully imported. The project can be opened from the Projects page in SAS Model Studio. When you open the project, the variable assignments on the Data tab are the same as the original project.

All of the original pipelines are available on the Pipelines tab. The pipelines must be run again. If a champion pipeline was manually selected in the original project, that selection is not preserved in the uploaded project. After uploading a project from another SAS Visual Forecasting server and running the pipelines, any existing overrides must be resubmitted.

After a project ZIP file is imported, only the original owner of the project can access it. The owner can share the project with other user groups. If the owner is not available, the SAS administrator can share it.

See Also

• Imported Project Does Not Show Out-of-Sample Region
• Modeling Node Fails When the Pipeline Is Run