MLE/MAP with start values gives ambiguity

[karajan9]

Using MLE/MAP with a start values (to help conversion) results in the following ambiguity error:

julia> optimize(m, MLE(), [178.0, 25.0])
ERROR: MethodError: optimize(::DynamicPPL.Model{var"###evaluator#316",(:heights,),Tuple{Array{Float64,1}},(),DynamicPPL.ModelGen{var"###generator#317",(:heights,),(),Tuple{}}}, ::MLE, ::Array{Float64,1}) is ambiguous. Candidates:
  optimize(model::DynamicPPL.Model, ::MLE, args...; kwargs...) in Turing at C:\Users\Jens.Adam\.julia\packages\Turing\GMBTf\src\modes\ModeEstimation.jl:258
  optimize(f, g, initial_x::AbstractArray; inplace, autodiff, kwargs...) in Optim at C:\Users\Jens.Adam\.julia\packages\Optim\L5T76\src\multivariate\optimize\interface.jl:68
Possible fix, define
  optimize(::DynamicPPL.Model, ::MLE, ::AbstractArray)

I hope this is the right place for this issue.