Nonlinear fiting with posibility to fix some of the parameters

[Oto_Brzobohaty]

@SteffenPL

loss_function_projected(p2) = q -> loss_function( (q[1], p2, q[2]) )

q0 = [0.0, 0.0]
result =  optimize(loss_function_projected(1.0), q0 ) 

Oh thanks that is really nice. For fixing one of the parameter it works pretty nice.
But I don’t know how to fix more parametrs.

loss_function_projected(p2) = q -> loss_function( (p2[1], p2[2], q[2]) )

pp = [1, 2]
q0 = [0.0]
result =  optimize(loss_function_projected(pp), q0 ) 

gave me BoundsError: attempt to access 1-element Vector{Float64} at index [2]

So I probably miss the concept of the function projection.