Deployment steps

IBM Watson Machine Learning enables you to deploy your Decision Optimization prescriptive model and associated master data once and then submit job requests to this deployment with only the related transactional data. This can be achieved using the Watson Machine Learning REST API or using the Watson Machine Learning Python client.

See REST API example for a code example, and Python client example for a link to a Python notebook available from the Community page of IBM Watson Studio.

Overview

The steps to deploy and submit jobs for a Decision Optimization model are as follows. These steps are detailed in later sections.

  1. Create a Watson Machine Learning service instance.
  2. Authenticate your Watson Machine Learning service instance.
  3. Deploy your model with master data.
  4. Create and monitor jobs to this deployed model.

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