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Saving and running models in Watson Machine Learning (SPSS Modeler)

Deploying models

You can deploy your models to Watson Machine Learning if you have the Watson Machine Learning service.

To deploy a model

After you save a model to the project, you can promote it to a deployment space. From the space, you can then create deployments and jobs to generate predictions for new data. For details, see Deploying assets.

For a list of which data sources are supported for SPSS Modeler with the Watson Machine Learning service, refer to the SPSS section under Batch deployment details.
Note: To deploy an SPSS Modeler flow that contains multiple import nodes, see Using multiple inputs for an SPSS job.
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