Creating jobs in deployment spaces for SPSS Modeler flows

You can create a job to run your SPSS Modeler flow in a deployment space. To run a batch job for your SPSS Modeler flow, you must create a job for the flow from your deployment space by configuring the job details, flow parameters, schedule, and mapping the source and target connections.

Before you begin

You must either promote the SPSS Modeler flow to the deployment space or export and then import the project with the flow in to the deployment space.
You must promote the data assets and connections which are used by the SPSS Modeler flow from your project to your deployment space.
You must set up your task credentials by generating an API key. For more information, see Managing task credentials.

Procedure

Follow these steps to create a job for an SPSS Modeler flow:

In your deployment space, select the Assets tab.
For your SPSS Modeler flow, click the Menu icon and select New job.
In the New job dialog box, configure the settings for your deployment job:
- In the Define details tab, enter your job details and select the runtime environment for your job.
- In the Flow parameters tab, review your flow parameters and update the parameter values if necessary.
- In the Configuration tab, select the configuration for flows that should be promoted within the job.
- In the Schedule tab, add a one-time or repeating schedule.
- In the Connect data tab, review the mapping of the data assets in the SPSS Modeler flow with the target connections within your deployment space.
Tip:
SPSS Modeler automatically maps the data assets and their taget connections. For troubleshooting errors with the automatic mapping of data assets and their taget connections, see Troubleshoot watsonx.ai Runtime.
- Optional: In the Notifications tab, toggle the Off button to turn on notifications associated with this job.
- In the Review and create tab, review your batch job details and edit the details if necessary. You can choose between running immediately or running the job later as defined in the Schedule tab:
  - To run the job as scheduled, click Create.
  - To run the job immediately, click Create and run.

Learn more

Parent topic: Deploying machine learning assets