create_parameters

pyoptex.doe.fixed_structure.wrapper.create_parameters(factors, fn, nruns, block_effects=(), prior=None, grps=None)[source]

Creates the parameters object by preprocessing the inputs. This is a utility function to transform each variable to its correct representation.

Parameters

factorslist(Factor): The list of factors.
fnFunctionSet: A set of operators for the algorithm.
nrunsint: Total number of runs (prior + new when augmenting).
block_effectslist(RandomEffect): Any additional blocking effects, not assigned to a factor.
priorNone or pd.DataFrame: Optional prior design for augmentation. Must be denormalized and decoded; rows correspond to the first len(prior) rows of the new design.
grpsNone or list(np.ndarray or None): Optional list of additional group indices to optimize per factor (on top of automatically determined new groups when prior is given).