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As part of the IDAES end-to-end uncertainty discussion, it came to light that:
Parameter estimation requires uncertainty model parameters to be defined as Pyomo variables
Robust optimization (PyROS) requires uncertain model parameters to be defined as Pyomo parameters (mutable)
Recommendation/Feature Request:
Generalize parmest to support either params or variables for uncertainty parameters that need to be regressed
PyROS already has some code to handle this conversion under the hood
Long-term: develop general utility code to support this conversion under the hood, we can use such a utility in parmest, PyROS, and the entire end-to-end uncertainty framework
Rationale
The distinction between variables and parameters becomes confusing to users, especially new users.
The text was updated successfully, but these errors were encountered:
Summary
As part of the IDAES end-to-end uncertainty discussion, it came to light that:
Recommendation/Feature Request:
Rationale
The distinction between variables and parameters becomes confusing to users, especially new users.
The text was updated successfully, but these errors were encountered: