functions.rsm.rsm_opt

functions.rsm.rsm_opt(
    x,
    d_object,
    prediction_funcs,
    space='square',
    alpha=1.682,
)

Optimization function to calculate desirability. Optimizers minimize, so we return negative desirability.

Parameters

Name	Type	Description	Default
x	list or np.ndarray	Input parameters (e.g., time, temperature, catalyst).	required
d_object	DOverall	Overall desirability object.	required
prediction_funcs	list of callables	List of prediction functions to calculate outcomes.	required
space	str	Design space (“square” or “circular”).	`'square'`
alpha	float	Axial distance for the design space. Default is 1.682 for a rotatable CCD.	`1.682`

Returns

Name	Type	Description
float	float	Negative desirability.

Raises

Name	Type	Description
	ValueError	If `space` is not “square” or “circular”.

Examples

from spotdesirability import DOverall, rsm_opt, DTarget, conversion_pred, activity_pred
d_object = DOverall(DTarget(0, 0.5, 1), DTarget(0, 0.5, 1))
prediction_funcs = [conversion_pred, activity_pred]
x = [1.0, 2.0, 3.0]
desirability = rsm_opt(x, d_object, prediction_funcs)
print(desirability)

0.0