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Currently the algorithm will always either increase or decrease the ensemble size by a minimum of one, every time, because of the convergence metric we're using. A really simple way to address this would be to upper and lower bound the tolerance, which is a little ugly but might be the best way to go for now.
The text was updated successfully, but these errors were encountered:
Currently the algorithm will always either increase or decrease the ensemble size by a minimum of one, every time, because of the convergence metric we're using. A really simple way to address this would be to upper and lower bound the tolerance, which is a little ugly but might be the best way to go for now.
The text was updated successfully, but these errors were encountered: