Results

class boulderopal.closed_loop.Results(parameters, costs, cost_uncertainties=None)

Results from evaluating the closed-loop optimization cost function.

Parameters:

parameters (np.ndarray) – The parameters at which the cost function was evaluated as a 2D array of shape (test_point_count, parameter_count).
costs (np.ndarray) – The evaluated costs from the cost function as a 1D array of shape (test_point_count,).
cost_uncertainties (np.ndarray or None, optional) – The uncertainties associated with the costs. If provided, must have the same shape as costs. Defaults to None, in which case there is no uncertainty associated to the costs.