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Cannot access MIPGap attribute



1 comment

  • Eli Towle
    Gurobi Staff Gurobi Staff

    The example problem is a continuous linear problem, so it is not solved as a MIP and there is no MIPGap to report. The model status is \(\texttt{GRB.OPTIMAL}\), meaning the problem was solved to optimality. You can check if a problem is solved as a MIP by querying the value of the IsMIP model attribute:

    print("IsMIP:", prob.IsMIP)

    If you were to change the model so Gurobi solves the problem as a MIP (e.g., by changing a variable to be integer or introducing a non-convex quadratic constraint like you mentioned), you should be able to query the MIP gap.

    I used to be able to do this before but I don't know why I can't do this anymore.

    Do you mean you used to be able to query the MIP gap of a continuous linear problem like this? It's expected that the MIP gap is not available for such problems.


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