I am looking for examples to understand what kind of benefits a model-and-run framework solver offers that a more programmatic solver doesn't do or doesn't do as well.
What distinguishes a model-and-run framework?
Context: I am trying to understand what OptaPlanner is missing to be used as a model-and-run solver. I presume it's more than just Jupyter notebook integration (which is already supported for OptaPy)?
pom.xml) is telling: it is comfortable for programmers, but not for data scientists. – Geoffrey De Smet Sep 28 '22 at 14:18