__init__(self, data, dimension): 

evaluate(self, points, **kwargs): 

Evaluates the function at the points based off of “data”

• points: Any

• :returns: _

__call__(self, gridpoints, **kwargs): 

• gridpoints: np.ndarray

• kwargs: Any

• :returns: _

minimize(self, initial_guess, function_options=None, **opts): 

Just calls into scipy.optimize.minimize as the default implementation

• initial_guess: np.ndarray

  starting position for the minimzation

• function_options: dict | None

• opts: Any

• :returns: _