Sampling and Intervening on Constant Parameters

[Tom-Szendrey]

When running a sample call on a model that has a constant parameter, I am unable to include an intervention on that parameter.
Specifically I am running into this: https://github.com/ciemss/pyciemss/blob/main/pyciemss/integration_utils/result_processing.py#L374

I suspect it is because when I run a sample call with a model that has a constant parameter this constant parameter is not in the df that is being passed back.

Looking at one of your test folders I can see that the Out[4] here does not contain these constant parameters while it does contain the parameters that have distributions
https://github.com/ciemss/pyciemss/blob/main/docs/source/interfaces.ipynb
https://github.com/DARPA-ASKEM/simulation-integration/blob/main/data/models/SEIRHD_NPI_Type1_petrinet.json#L260-L273

An example of a missing parameter in this Out[4] would be
persistent_beta_s_param

This would presumably prevent us from having an intervention on this beta_s

[Tom-Szendrey]

Already resolved
#597