import torch import numpy as np from torch.utils.data import Dataset from torch.utils.data import DataLoader from sklearn.model_selection import train_test_split # 读取原始数据,并划分训练集和测试集,分割符号为逗号,数据类型为float raw_data = np.loadtxt('diabetes.csv', delimiter=',', dtype=np...