删除重复数据集

.idea/misc.xml

@@ -1,4 +1,4 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
-  <component name="ProjectRootManager" version="2" project-jdk-name="C:\anaconda\envs\pytorch" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="pytorch_gpu" project-jdk-type="Python SDK" />
 </project>

.idea/pytorch2.iml

@@ -2,7 +2,7 @@
 <module type="PYTHON_MODULE" version="4">
   <component name="NewModuleRootManager">
     <content url="file://$MODULE_DIR$" />
-    <orderEntry type="jdk" jdkName="C:\anaconda\envs\pytorch" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="pytorch_gpu" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
 </module>

浙江电压等级电量/电压等级_输出为3.py

@@ -0,0 +1,27 @@
+import torch
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+from torch import nn
+import os
+torch.manual_seed(42)
+os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"  # 解决OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
+
+class LSTM(nn.Module):
+    def __init__(self,input_size,hidden_size,output_size,num_layers=2):
+        super().__init__()
+        self.lstm = nn.LSTM(input_size,hidden_size,num_layers=2)
+        self.fc1 = nn.Linear(hidden_size,64)
+        self.ReLu = nn.ReLU()
+        self.fc2 = nn.Linear(64,output_size)
+
+    def forward(self,x):
+        output,_ = self.lstm(x)
+        s,b,h = output.shape
+        output = output.reshape(-1,h)
+        output = self.ReLu(self.fc1(output))
+        output = self.fc2(output)
+        return output
+
+# 创建数据集
+