I am trying to implement optimization function for the radial basis using surrogate_optimize in the following example.
x = [1, 3, 4, 6, 7, 7.5, 8]
y = [2, 3, 6, 6, 7, 8.5, 9]
z = [1, 2, 4, 7, 8, 2, 4]
XY = zip(x,y) |> collect
lb, ub = vcat(minimum(x),minimum(y)), vcat(maximum(x), maximum(y))
radial = Surrogates.RadialBasis(XY, z, lb, ub)
# I have tried using the surrogate_optimize directly, but i know it requires objective function,
surrogate_optimize(z, SRBF(), lb, ub, radial, UniformSample(), maxiters=50)
As the above implementation is wrong, hence I would like to know how to implement surrogate optimize function on the above mentioned script?
Documentation reference:
http://surrogates.sciml.ai/stable/radials/
http://surrogates.sciml.ai/stable/optimizations/
Thanks!