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Hello!
Is this binding able to solve linear problems? Mainly asking because I get an error when I try to get a dual for a problem.
The error is:
ERROR: MathOptInterface.GetAttributeNotAllowed{MathOptInterface.ConstraintDual}:
## Cause
Getting attribute MathOptInterface.ConstraintDual(1) cannot be performed because:
SCIP.Optimizer does not support getting the attribute MathOptInterface.ConstraintDual(1).
## Fixing this error
An `MOI.NotAllowedError` error occurs when you have tried to do something that
is not implemented by the solver.
The most common way to fix this error is to wrap the optimizer in a
`MOI.Utilities.CachingOptimizer`.
For example, if you are using `JuMP.Model` or `JuMP.set_optimizer`, do:
```julia
model = JuMP.Model(optimizer; with_cache_type = Float64)
model = JuMP.GenericModel{T}(optimizer; with_cache_type = T)
JuMP.set_optimizer(model, optimizer; with_cache_type = Float64)
Similarly, if you are using MOI.instantiate, do:
model = MOI.instantiate(optimizer; with_cache_type = Float64)My understanding is that my problem is not solved as a linear problem, but as a MILP. But then, how can I retrieve the dual variables?
My idea was to use SCIP as the master problem in a column generation algorithm, but without the dual variables I'm a bit stuck. If something can be done similarly to the SCIP tutorial in C++ I'm happy to follow that way.
Thank you!
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