关于数据维度的问题 #14
Description
您好，当我下载了seed4数据集时，我按照remade的要求运行代码，但是出现了维度不匹配的问题，
Traceback (most recent call last):
File "f:\CNN\MS-MDA-mai_1\msmdaer.py", line 345, in <module>
data, label = utils.load_data(dataset_name)
File "f:\CNN\MS-MDA-mai_1\utils.py", line 320, in load_data
return np.array(data), np.array(label)
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (3, 15) + inhomogeneous part.
这是出现的错误，具体是在这个函数
def load_data(dataset_name):
path, allmats = get_allmats_name(dataset_name)
data = [([0] * 15) for i in range(3)]
label = [([0] * 15) for i in range(3)]
for i in range(len(allmats)):
for j in range(len(allmats[0])):
mat_path = path + "/" + str(i + 1) + "/" + allmats[i][j]
one_data, one_label = get_data_label_frommat(mat_path, dataset_name, i)
print(one_data.shape, one_label.shape)
data[i][j] = one_data.copy()
label[i][j] = one_label.copy()
return np.array(data), np.array(label)
我把data和lable的形状打印出来后，三个session的输出如下，
(851, 310) (851, 1)
(832, 310) (832, 1)
(822, 310) (822, 1)，
这导致数组无法转换为numpy
请问我该如何解决，可以直接截断多余的部分吗