SetHint() from the OR-tools linear solver I am trying to pass a feasible solution to my problem. But I receive the following warning:
WARNING: ignore partial solution (0) because unknown rate is too large (0.862233 > 0.85)
What is the unknown rate and how can I reduce it?
I firstly thought, "unknown rate" refers to the proportion of variables that I provide a value for. But even when providing a value for all variables, I receive the warning above.
Background: I am dealing with a VRP and its split delivery generalization. First, I calculate a solution without splits passing it with
SetHint(variables, values) to the generalized model. I have done this before with Gurobi (warm start), but wanted to try the same with the OR-Tools SCIP solver. I am working with Python.