cost_fn

pyoptex.doe.cost_optimal.cost.cost_fn(*args, **kwargs)[source]

Parameters

ffunc(Y, params) or func(Y): The cost function to be wrapped.
factorslist(Factor): A list of factors for the design.
denormalizebool: Whether to denormalize (and decode) the data before passing it to f.
decodedbool: Whether to only decode, but not denormalize the data before passing it to f.
contains_paramsbool: Whether the cost function requires the Parameters. This prevents numba compilation.