Feeding solver parameters as a dictionary

Specific Domains Optimization (Mathematical)
1

I’d like to set solver parameters not manually but by just passing a dictionary and unpacking the keys and arguments using the splat operator. When I tried doing this: fRAN = Model(solver = GurobiSolver(parameters...))

I got the following error.
ERROR: LoadError: MethodError: no method matching Gurobi.GurobiSolver(::Pair{Symbol,Any}, ::Pair{Symbol,Any}, ::Pair{Symbol,Any}, ::Pair{Symbol,Any}, ::Pair{Symbol,Any}, ::Pair{Symbol,Any}, ::Pair{Symbol,Any}, ::Pair{Symbol,Any}, ::Pair{Symbol,Any})

Can these parameters be configured in an elegant manner?

Thanks

PS: I’m still using JuMP 0.18, Julia 0.6.3

2

Why not just use tuples instead? They are supposed to be holders for function arguments.

3

I’m still using JuMP 0.18, Julia 0.6.3

Update to the latest version, then use

model = Model(Gurobi.Optimizer)
for (key, val) in dict
    set_optimizer_attribute(model, key, val)
end
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