stats.py 文件源码

def random_combinations(points_in_class):
    n_cl = len(points_in_class)
    max_points = 2 * n_cl # as used by by Orriols-Puig et al., 2010
    all_combinations = []
    for i, j in itertools.combinations(points_in_class, r = 2):
        all_combinations.append((i, j))

    points_i = 0
    n = len(all_combinations)
    for i in range(n):

        point = np.random.choice(len(all_combinations), 1)[0]

        yield all_combinations[point]

        del all_combinations[point]
        if points_i > max_points or len(all_combinations) == 0:
            break
        points_i = points_i + 1