Hi Regis, Sofiane, thanks for your answers
my sample is not constant
I generated it with a DOE and saved it in a CSV file, and I reload this CSV file to use these points to perform some statistics, try to build a metamodel etc
Some precisions : I have a numerical model with 2D finite element method
I choose 7 input parameters and more than 10 results to study
It’s a test case “just to see” what I can do with openturns
my sample has 100 points (I have another sample with 1000 points)
[100 points because with 7 input parameters I thought it was enough to build a “good” metamodel]
my results sample, called “output_sample” is not constant, I can compute mean, median, standard deviation, quantile values that show this is not constant
But maybe I have to build a metamodel for each result apart ?
Today I work at home so I can’t execute my openturns python script
I will try your suggestion about SmallSampleSize / LargeSampleSize
I did not change default values (a priori 1000 / 10000)
Next step is to try to build a kriging metamodel
Which covariance models can I try, which basis can I try to build a kriging metamodel ?
I see in examples;
- basis generated with ConstantBasisFactory, LinearBasisFactory, Quadratic…
- allways covariance model = SquaredExponential
some other ideas to suggest ?
Thanks a lot for all !