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Decision Optimization Java models can now be deployed in Watson Machine Learning. By using the Java worker API, you can create optimization models with OPL, CPLEX, and CP Optimizer Java APIs. You can now easily create your models locally, package them and deploy them on Watson Machine Learning by using the boilerplate that is provided in the public Java worker GitHub. For more information, see Deploying Java models for Decision Optimization in Cloud Pak for Data as a Service, or Deploying Java models for Decision Optimization in watsonx.ai.
For more information about Java worker parameters, see the Java documentation.
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