Fit GP model on existing population from optimization problem

[flo-schu]

the idea is that it's better to sample the whole / relevant parameter space instead of only finding the optimal solution

• take results from OptimizationResults
  • .population_all all ever evaluated parameter samples
• build GP model from sklearn