Input and output data for Decision Optimization
You can access the input and output data you defined in the experiment UI by using the following dictionaries.
For Python DOcplex models, the data that you imported in the Prepare data
view in the experiment UI is accessible from the input dictionary. To
access your imported data you must define each table with the following syntax
inputs['tablename']. For example, in this line of code, food is an entity that is
defined from the table called diet_food:
food = inputs['diet_food']Similarly, to show tables in the Explore solution view of the experiment UI you must specify them using the syntax
outputs['tablename']. For example,
outputs['solution'] = solution_dfsolution. The entity solution_df in the Python model defines this
table.You can find this Diet example in the Model_Builder folder of the DO-samples. To import and run (solve) it in the experiment UI, see Solving and analyzing a Decision Optimization model: the diet problem.