更新 function.py

function.py

@@ -85,7 +85,13 @@ def load_data(filepath):
     for line in lines:
         parts = line.strip().split(',')
         label = int(parts[-1])
-        features.append([float(x) for x in parts[:-1]])
+        feature_list = []
+        for x in parts[:-1]:
+            if x == '?':
+                feature_list.append(0)  # 用0代替缺失值
+            else:
+                feature_list.append(float(x))
+        features.append(feature_list)
         labels.append(label)
     return np.array(features), np.array(labels)
 
@@ -100,13 +106,3 @@ if __name__ == "__main__":
     predictions = [predict_logreg(X_train[i], weights) for i in range(X_train.shape[0])]
     # 打印预测结果
     print(predictions)
-
-    # 加载测试集
-    X_test, y_test = load_data("./data/horse-colic.test")
-
-    # 训练对率回归模型
-    weights = train_logreg(X_train, y_train, learning_rate=0.01, iterations=1000)
-
-    # 测试单个数据
-    y_pred = predict_logreg(X_test[11], weights)
-    print(f"预测结果: {y_pred}, 实际结果: {y_test[11]}")