Saving scenarios for deployment from a Decision Optimization experiment

After you build and solve your model in your Decision Optimization experiment, you are then ready to deploy the model. You can save both model and data in a scenario for deployment. The data types set in the Prepare data view and, if you set any run configuration parameters for that scenario, these parameters are also saved in the deployment.

To save your model for deployment:

1. In the Decision Optimization experiment UI, either from the Scenario or from the Overview pane, click the menu icon for the scenario that you want to deploy, and select Save for deployment
2. Specify a name for your model and add a description, if needed, then click Next.
   1. Review the Input and Output schema and select the tables that you want to include in the schema.
   2. Review the Run parameters and add, modify, or delete any parameters as necessary.
   3. Review the Environment and Model files that are listed in the Review and save window.
      Any environment that you specified to run your model with is shown in this window. This environment is then used when you deploy your model in Watson Machine Learning (both when you save your model for deployment and when you promote it to your deployment space).
   4. Click Save.