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This intervention came from a policy optmization:static_parameter_interventions(optimization_result["policy"]) = {27.3639: {'NPI_mult': tensor(0.5000)}}, but when I go to sample from the model with the intervention applied, I get the following error if NPI_mult is a constant parameter (but not when it is defined with uncertainty).
@sabinala , can you create a draft PR with a test that fails because of this issue?
I suspect this is actually an issue in the output processing when the parameter is deterministic, and that the intervention is being correctly applied in the simulation.
This intervention came from a policy optmization:
static_parameter_interventions(optimization_result["policy"]) = {27.3639: {'NPI_mult': tensor(0.5000)}}
, but when I go to sample from the model with the intervention applied, I get the following error ifNPI_mult
is a constant parameter (but not when it is defined with uncertainty).The text was updated successfully, but these errors were encountered: