conflict with "ScikitLearn" package about jumper.jl HOT 16 CLOSED

using JuMP, JuMPeR
model = RobustModel()
@variable(model,x)
@objective(model,Min,x)
@constraint(model, x>= 0)
@uncertain(model,u >= 0)
@constraint(model, x == u)
solve(model) # Solves correctly

using JuMP, JuMPeR, Scikitlearn
model = RobustModel()
@variable(model,x)
@objective(model,Min,x)
@constraint(model, x>= 0)
solve(model)  
# :Optimal

@uncertain(model,u >= 0)
@constraint(model, x == u)
solve(model) 
# ERROR: JuMPeR.BasicUncertaintySet has not implemented setup_set!
 in error at /Applications/Julia-0.4.3.app/Contents/Resources/julia/lib/julia/sys.dylib
 in _solve_robust at /Users/brad-sturt/.julia/v0.4/JuMPeR/src/solve.jl:65
 in solve at /Users/brad-sturt/.julia/v0.4/JuMP/src/solvers.jl:114

julia> methods(JuMPeR.setup_set)
# 3 methods for generic function "setup_set":
setup_set(us::JuMPeR.BasicUncertaintySet, rm::JuMP.Model, idxs::Array{Int64,1}, scens_requested::Bool, other_prefs::Dict{Symbol,Any}) at /Users/brad-sturt/.julia/v0.4/JuMPeR/src/uncsets_basic.jl:82
setup_set(us::JuMPeR.BudgetUncertaintySet, rm::JuMP.Model, idxs::Array{Int64,1}, scens_requested::Bool, other_prefs::Dict{Symbol,Any}) at /Users/brad-sturt/.julia/v0.4/JuMPeR/src/uncsets_budget.jl:58
setup_set(us::JuMPeR.AbstractUncertaintySet, rm::JuMP.Model, idxs::Array{Int64,1}, scens_requested::Bool, other_prefs) at /Users/brad-sturt/.julia/v0.4/JuMPeR/src/uncsets.jl:33

using JuMP, JuMPeR

model = RobustModel()
@variable(model, x)
@uncertain(model, u)
@constraint(model, u >= 0)
@constraint(model, u <= 1)
@constraint(model, x >= u)
@objective(model, Min, x)
@show solve(model)

using ScikitLearn

model = RobustModel()
@variable(model, x)
@uncertain(model, u)
@constraint(model, u >= 0)
@constraint(model, u <= 1)
@constraint(model, x >= u)
@objective(model, Min, x)
@show solve(model)

using JuMP, JuMPeR
using ScikitLearn

model = RobustModel()
@variable(model, x)
@uncertain(model, u)
@constraint(model, u >= 0)
@constraint(model, u <= 1)
@constraint(model, x >= u)
@objective(model, Min, x)
@show solve(model)

using JuMP, JuMPeR

model = RobustModel()
solve(model)

using ScikitLearn

model = RobustModel()
@variable(model, x)
@uncertain(model, u)
@constraint(model, u >= 0)
@constraint(model, u <= 1)
@constraint(model, x >= u)
@objective(model, Min, x)
@show solve(model)