Creating a Decision Optimization experiment
This example shows you how to create a Decision Optimization experiment.
Before you begin
- Requirements
- To edit and run Decision
Optimization models, you must have the following prerequisites:
- Admin or Editor roles
- You must have Admin or Editor roles in the project. Viewers of shared projects can only see experiments, but cannot modify or run them
- Machine Learning service
- You must have a Machine Learning service that is associated with your project. You can add one when you create a Decision Optimization experiment.
- Deployment space
- You must have a deployment space that is associated with your Decision Optimization experiment. You can choose a deployment space when you create a Decision Optimization experiment.
About this task
You can create a Decision Optimization experiment from scratch or from a sample file.
Procedure
To create a Decision Optimization experiment:
- Open your project or create an empty project.
- Select the Assets tab.
- Select New asset > Solve optimization problems in the Work with models section.
- In the Create a Decision
Optimization
experiment window that opens, enter a
name to create a model from scratch. You can alternatively choose Local file
and select a
.zip
file to upload an existing experiment. - If you haven't already associated a Machine Learning service with your project, you must first select Add a Machine Learning service to select or create one before you choose a deployment space for your experiment.
- Click New deployment space, enter a name, and click Create (or select an existing space from the drop-down menu).
- Click Create.
Results
For more information about scenarios, see Scenarios in a Decision Optimization experiment.