from itertools import permutations def compute_distance_matrix(points): """计算点之间的欧氏距离矩阵""" points = np.array(points) diff = points[:, np.newaxis, :] - points[np.newaxis, :, :] return np.sqrt((diff**2).sum(axis=2)) def calculate_total_distance(path, dist_matrix): """...
(GAN) trained to detect non-genuine returns is applied to the return request. The GAN uses, among other this, the transaction history of the customer and the set of return policy rules as parameters of the GAN. Based on an output of the GAN, at least one return processing action is ...
The upside dual beta would be of a similar construct but with the inequalities reversed. Given the extensive amount of computational time it took to analyze the time series of returns in their various permutations and combinations, additional work could be undertaken to design an appropriate and ef...