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With 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.

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2 Answers 2

Reset to default
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Try:

SetSolverSpecificParametersAsString("heuristics/completesol/maxunknownrate = 0.9")

References:

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  • $\begingroup$ This is it, thank you! $\endgroup$
    – Dav
    May 11, 2021 at 5:54
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I believe the warning comes from SCIP. So check the documentation there.

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    $\begingroup$ This may be better suited as a comment (as is). $\endgroup$
    – ə̷̶̸͇̘̜́̍͗̂̄︣͟ ♦
    May 10, 2021 at 20:10
  • $\begingroup$ I think this answer is likely to be a downvote magnet. As pointed out, it should be a comment since it doesn't really answer the question and simply directs the OP to "the documentation." $\endgroup$
    – SecretAgentMan
    May 10, 2021 at 20:27
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    $\begingroup$ OK. How do you reply when the warning comes from a dependency? $\endgroup$
    – Laurent Perron
    May 11, 2021 at 9:07

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