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Add a function that can assess the identifiability of an optimisation result and return an informative message to the user.
To help users consider the identifiability of an optimal point.
Compute a finite difference approximation of the Hessian matrix around the result of an optimisation and classify the eigenvalues.
Useful webpage related to this issue: https://sethna.lassp.cornell.edu/Sloppy/WhatAreSloppyModels.html
The text was updated successfully, but these errors were encountered:
NicolaCourtier
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Feature description
Add a function that can assess the identifiability of an optimisation result and return an informative message to the user.
Motivation
To help users consider the identifiability of an optimal point.
Possible implementation
Compute a finite difference approximation of the Hessian matrix around the result of an optimisation and classify the eigenvalues.
Additional context
Useful webpage related to this issue: https://sethna.lassp.cornell.edu/Sloppy/WhatAreSloppyModels.html
The text was updated successfully, but these errors were encountered: