修复预测脚本和训练脚本的执行bug

FC_ML_Data/FC_ML_Data_Load/Data_Load_Excel.py

@@ -182,7 +182,7 @@ def get_data_from_csv_feature(data_path,skip_rows = 100,sample_rows = 100,normal
         sampled_indices = torch.arange(0, len(data_ori), skip_rows)  # 记录行号
         return label_name,source_data,normalizer.params["min"],normalizer.params["max"],normalizer.params["mean"],sampled_indices,data_sample
 
-def get_train_data_from_csv(data_path,normalization = false,normalization_type = 'minmax'):
+def get_train_data_from_csv(data_path,normalization = True,normalization_type = 'minmax'):
     """读取csv数据文件并生成标准化训练数据
     Args:
         data_path (str): 文件绝对路径
@@ -196,6 +196,8 @@ def get_train_data_from_csv(data_path,normalization = false,normalization_type =
 
     Examples:
         get_data_from_csv_feature("D://test.excel")
+        :param normalization_type:
+        :param normalization:
     """
     # 读取前xx行数据
     df = pd.read_csv(data_path,encoding='gbk')