Transformer 时间序列预测实战

 项目视频讲解：Transformer的时间序列预测 价格预测产量预测 精讲完整代码数据 毕业设计_哔哩哔哩_bilibili

完整代码如下：

#pip install openpyxl -i https://pypi.tuna.tsinghua.edu.cn/simple/
import numpy as np
import pandas as pd
from tqdm import tqdm
import torch
from torch import nn
import torch.utils.data as data
import torch.nn.functional as F
from torch import tensor
import torch.utils.data as Data
import math
from matplotlib import pyplot
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings("ignore")
import torch
import torch.nn as nn
import math
from datetime import datetime, timedelta
plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号

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