Python client examples

You can deploy a Decision Optimization model, create and monitor jobs, and get solutions using the Watson Machine Learning Python Client. For more information, see Watson Machine Learning Python client documentation.

The Python notebook Deploying a Decision Optimization model in Watson Machine Learning, available from the IBM Watson Studio Gallery, illustrates how you can perform the following tasks:
  • Install the Watson Machine Learning client API
  • Create a client instance
  • Prepare your model archive
  • Upload your model on Watson Machine Learning
  • Create a deployment
  • Create and monitor a job with inline data for your deployed model
  • Display the solution