logistic_calage.py (5.0 KB)
I have a calibration problem which resemble a lot the one described in the logistic calibration example in the Openturns documentation
Only i have had some trouble using Openturns because the input parameters that are supposedly frozen during the calibration procedure (i.e. the observed years) are slightly changed. not very much changed, just around the fifth or sixth decimal but sufficiently so to make for some useless calls to the function. You can see such a problem in the file included, which comes from the OT documentation with the addition of a print call within the calibrated function, in order to monitor on what inputs the function is being called
Given that my function is a bit costly to compute, it becomes quite cumbersome and renders any memoization measure useless
is there a way to ensure that the frozen input parameters are effectively frozen during the calibration procedure?