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Does it make sense to add "grounding" and "modifiers" metadata to the parameters after a model is stratified?
Akin to how state variables:
The above screenshots show a SEIRHD model that was stratified with key = 'location' and strata = <name list of US states and territories> and the modifiers were mapped from the name to the geonames curie.
The goal is to retain/store stratification metadata and permit richer, map-based visualizations of the parameters, beyond the current matrix or table view.
Does it make sense to add "grounding" and "modifiers" metadata to the parameters after a model is stratified?
Akin to how state variables:
The above screenshots show a SEIRHD model that was stratified with
key = 'location'
andstrata = <name list of US states and territories>
and the modifiers were mapped from the name to thegeonames
curie.The goal is to retain/store stratification metadata and permit richer, map-based visualizations of the parameters, beyond the current matrix or table view.
The full example AMR is here:
https://github.com/liunelson/mira/blob/nliu/experiment/notebooks/nliu/data/example_models/model_seirhd_travel_stateCurie.json
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