Once training has successfully completed for a model, it can then be deployed or undeployed.
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Launch the SAP Fiori launchpad.
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Open the Intelligent Scenario Management app.
The Intelligent Scenarios Management app opens with all the available intelligent scenarios.
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Click the intelligent scenario that you want to work with.
A list of all the available versions for the selected intelligent scenario are displayed in the Version section.
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Click the version that you want.
A list of all the training for the selected version is displayed in the Training section.
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Select the training that you want to deploy.
Ensure that the selected training is in the completed status.
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Click Deploy.
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Alternatively, you can click Deploy and Monitor.
With this option, you create deployment and navigate to the Deployment tab for monitoring purpose.
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In the Configuration section, enter the following:
Field
Description
Description
Displays a short description for the deployment. You can either change the description for the deployment.
Parameter Name
Enter the parameter value.
Artifact Name
Enter the artifact value.
The parameters and artifacts are derived from the Inference Pipeline in the remote machine learning provider. So, the parameter, artifact names, or the number of parameters and artifacts are displayed as configured in the remote machine learning provider.
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Click Deploy.
To undeploy, click the Deployments tab. Select the deployment that you want to undeploy and click Undeploy. Before you undeploy, ensure that you deactivate deployment for your user, other users, and all users.