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Just writing stuff here as I get ideas, feel free to close/consolidate to single issues if easier to handle that way.
It could be neat to permit accessing a parameters (optimal) value from a PEtab result like:
res =calibrate_model_multistart(petab_problem, ...)
res[p1]
to get its value.
Long-term, if rerouting through OptimizationProblems this would be handled automatically. However, it seems unlikely that SciML/Optimization will have full support for desired stuff (e.g. saving traces for plotting) any time soon.
The text was updated successfully, but these errors were encountered:
I wonder if we need this anymore. Now PEtabOptmizationResult as well as PEtabMultistartResult output the result as a ComponentArray. This means that fitted parameters can be accessed as:
xmin = res.xmin
k2 = xmin[:k2] # or xmin.k2
What do you think? Maybe it is better to rather add a get_xmin function (where the user can also choose which scale to convert the parameters to)
Just writing stuff here as I get ideas, feel free to close/consolidate to single issues if easier to handle that way.
It could be neat to permit accessing a parameters (optimal) value from a PEtab result like:
to get its value.
Long-term, if rerouting through
OptimizationProblem
s this would be handled automatically. However, it seems unlikely that SciML/Optimization will have full support for desired stuff (e.g. saving traces for plotting) any time soon.The text was updated successfully, but these errors were encountered: