Table of contents

[Beta] Solving a model using the Modeling Assistant

Describes the overall process for solving a simple planning and scheduling example using the Modeling Assistant.

This example takes you through the basic process to create a model in IBM Decision Optimization for Data Science Experience and examine it under different scenarios. The basic workflow is as follows:

  1. Create a project
  2. Add a Decision Optimization model (a scenario is created by default).
  3. Add and import your data into the scenario.
  4. Create Natural Language model in the scenario and run it to solve it.
  5. Copy the scenario and edit the model.
  6. Rerun the new scenario to see the impact of the changes to the model.
Workflow showing the previously mentioned steps