测试文件

.idea/vcs.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

FC_ML_Baseline/FC_ML_Baseline_Data_Handler/Data_Load.py

@@ -49,13 +49,25 @@ export const sourceCurveData = {
 '''
 import argparse
 
+import sys
+import os
+
+# 获取当前脚本（Data_Load.py）所在的目录
+current_script_dir = os.path.dirname(__file__)  # 结果：/home/app/model/ModelTrainingPython/FC_ML_Baseline/FC_ML_Baseline_Data_Handler
+
+# 从当前目录回退 2 级，得到项目根目录 ModelTrainingPython
+root_path = os.path.abspath(os.path.join(current_script_dir, "..", ".."))
+
+# 将根目录添加到 Python 搜索路径
+sys.path.append(root_path)
+
 from FC_ML_Data.FC_ML_Data_Load.Data_Load_Excel import get_data_from_csv_feature
 from FC_ML_Model.Model_Train_Data import TrainData
 from FC_ML_Tool.Serialization import parse_json_file
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(description='导入数据文件参数')
-    parser.add_argument('--param', default='D:\liyong\project\TVS_ML\FC_ML_Baseline\FC_ML_Baseline_Test\param.json',
+    parser.add_argument('--param', default=r'D:\liyong\project\TVS_ML\FC_ML_Baseline\FC_ML_Baseline_Test\param.json',
                         help='配置参数文件绝对路径')
     parser.add_argument('--export', default='source.json',
                         help='导出JSON文件名')

FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/param-linux.json

@@ -0,0 +1,4 @@
+{
+  "files": ["sample1.CSV"],
+  "path": "/home/app/model/ModelTrainingPython/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/"
+}

FC_ML_Baseline/FC_ML_Baseline_Test/Train/param-linux.json

@@ -0,0 +1,23 @@
+{
+  "files":["sample1.CSV"],
+  "path": "/home/app/model/ModelTrainingPython/FC_ML_Baseline/FC_ML_Baseline_Test/Train/",
+  "algorithmParam": {
+    "inputSize": 8,
+    "outputSize": 8,
+    "algorithm": "多项式拟合",
+    "activateFun": "sigmod",
+    "lossFun": "l1",
+    "optimizeFun": "sgd",
+    "exportFormat": ".onnx",
+    "trainingRatio": 80,
+    "loadSize": 32,
+    "studyPercent": 0.001,
+    "stepCounts": 3,
+    "roundPrint": 11,
+    "round": 1001,
+    "preDisposeData": false,
+    "disposeMethod": "minmax",
+    "dataNoOrder": false
+  },
+  "algorithm": "基础神经网络NN"
+}

FC_ML_Baseline/FC_ML_Baseline_Train/Train_Proxy_Model.py

@@ -4,7 +4,7 @@
  * 传参：python xxx.py 源文件路径 文件名  /xx/xx/param.json
  * param.json 包含：
  *          {
- *
+ *            files:[xxx.excel,xxx.excel,xxx.excel],
  *            path: '/xx/xx/xx',//源文件路径
  *            algorithmParam:{
                 algorithm: '多项式拟合',
@@ -35,6 +35,18 @@
  */
 '''
 import argparse
+import sys
+import os
+
+# 获取当前脚本（Data_Load.py）所在的目录
+current_script_dir = os.path.dirname(__file__)  # 结果：/home/app/model/ModelTrainingPython/FC_ML_Baseline/FC_ML_Baseline_Data_Handler
+
+# 从当前目录回退 2 级，得到项目根目录 ModelTrainingPython
+root_path = os.path.abspath(os.path.join(current_script_dir, "..", ".."))
+
+# 将根目录添加到 Python 搜索路径
+sys.path.append(root_path)
+
 from locale import normalize
 
 import torch