% for the coefficient calculation strategy:
MetaOpts.Method = 'LARS';
% Specify a sparse truncation scheme (hyperbolic norm with $q = 0.75$):
MetaOpts.TruncOptions.qNorm = 0.75;
% Specify the range of the degrees to be compared
% by the adaptive algorithm:
MetaOpts.Degree = 2:10;
%%
% UQLab will automatically determine the appropriate quadrature level.
X_ED = X;
% Evaluate the full model on the current experimental design
Y_ED = Y;
% Use the sample as the experimental design for the PCE
MetaOpts.ExpDesign.X = X_ED;
MetaOpts.ExpDesign.Y = Y_ED;
% Create the quadrature-based PCE metamodel:
myPCE = uq_createModel(MetaOpts);
Dear professors, when I was creating the agent model with UQlab, I encountered an error from matlab. The error command is: myPCE = uq_createModel(MetaOpts)
.Is it because I have too many variables? My variables are 217. Matlab Error:number of permutations too high: would require 1.859578e+04 MB, while the specified max is 8192 MB.
How can I solve it? Thank you