Hi all,
i am trying to set up a hierarchical kriging surrogate model which takes 4 inputs and gives a vector output of size 81.
I built my low fidelity surrogate model called myKriging_LF, from a design of experiment (DOE) using a low fidelity numerical solver.
Now i want to set up the hierarchical kriging model, from a DOE with a high fidelity solver.
The set up for the hierarchical kriging is like this :
mf_KrOptions.Type = ‘Metamodel’ ;
mf_KrOptions.MetaType = ‘Kriging’ ;
mf_KrOptions.ExpDesign.Sampling = ‘User’ ;
mf_KrOptions.ExpDesign.X = myKriging_HF.ExpDesign.X ;
mf_KrOptions.ExpDesign.Y = myKriging_HF.ExpDesign.Y ;
mf_KrOptions.EstimMethod = ‘ML’ ;
mf_KrOptions.Trend.Type = ‘custom’ ;
mf_KrOptions.Trend.CustomF = @(X) uq_evalModel(myKriging_LF,X) ;
mf_KrOptions.Scaling = false ;
Note that the ExpDesign.Y is of size 153 x 81 : i have 153 training points and 81 quantities of interest.
The myKriging_LF kriging model is outputting also the 81 quantities of interest.
When creating the model I get the following error :
> Unable to perform assignment because the size of the left side is 153-by-1 and the size of the right side is 153-by-81.
> Error in uq_Kriging_eval_F (line 34)
> F(:,ii) = f_ii(X);
Would you have any idea how to say to the model that the handle function should return 81 outputs for the trend ?
What am i doing wrong ?
I thank you kindly by advance for any help on this.
Have a nice day !
cheers,
Elie
