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Feature description
In most cases, the set of summary statistics and their dimensions should coincide between all simulations and the observed data. Thus, add a check somewhere (Model class?) for consistency, allowing for an optional override if that is not desirable (non-default), e.g. if simulation dimensions can vary.
Motivation/Application
E.g. numpy is quite generous due to broadcasting, which may hide errors.
The text was updated successfully, but these errors were encountered:
Feature description
In most cases, the set of summary statistics and their dimensions should coincide between all simulations and the observed data. Thus, add a check somewhere (Model class?) for consistency, allowing for an optional override if that is not desirable (non-default), e.g. if simulation dimensions can vary.
Motivation/Application
E.g. numpy is quite generous due to broadcasting, which may hide errors.
The text was updated successfully, but these errors were encountered: