更新 function.py

function.py

@@ -55,9 +55,18 @@ def predict_logreg(inX, weights):
 # 从文件中加载数据  
 def load_data(filepath):
     data = pd.read_csv(filepath, header=None, na_values='?', delim_whitespace=True)
-    data.fillna(0, inplace=True)
-    X = data.iloc[:, :-1].to_numpy()  # 特征
-    y = data.iloc[:, -1].to_numpy()    # 标签
+    for col in data.columns:
+        if pd.api.types.is_numeric_dtype(data[col]):
+            data[col].fillna(data[col].median(), inplace=True)
+        else:  # 处理非数值列，例如用众数填充或其他策略
+            data[col].fillna(data[col].mode()[0], inplace=True)
+
+    X = data.iloc[:, :-1].to_numpy()
+    y = data.iloc[:, -1].to_numpy()
+
+    scaler = MinMaxScaler()
+    X = scaler.fit_transform(X)  # 缩放特征
+
     return X, y 
 # 准确率计算函数
 def calculate_accuracy(X, y, weights):