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There should be tests that make sure that the results of the algorithms are sensible.
These don't necessarily need to be part of automated CI tests,
as mentioned in #40, but rather the examples.
I suggest to use a trivial case, for example, for DA:
5d, no dynamics, observe (directly) 1 component.
posterior mean/cov should nearly match theoretical.
test all of the methods
test for different configs (ensemble size, iteration numbers, with and without localisation)
For optimisation, for example: a 5d quadratic objective
Check optimum is found
Check number of iterations not excessive.
The text was updated successfully, but these errors were encountered:
There should be tests that make sure that the results of the algorithms are sensible.
These don't necessarily need to be part of automated CI tests,
as mentioned in #40, but rather the examples.
I suggest to use a trivial case, for example, for DA:
5d, no dynamics, observe (directly) 1 component.
For optimisation, for example: a 5d quadratic objective
The text was updated successfully, but these errors were encountered: