更新 function.py

function.py

@@ -85,16 +85,20 @@ def load_data(filepath):
     data = []
     labels = []
     with open(filepath, 'r') as file:
-        lines = file.readlines()
-        for line in lines:
-            line = line.strip().split()
-            if '?' not in line:  # 只处理不包含缺失值的行
-                features = [float(x) for x in line[:-1]]
-                label = float(line[-1])
-                if label == 0:
-                    label = -1  # 将类别0转换为 -1 ，符合SVM二分类的约定
-                data.append(features)
-                labels.append(label)
+         lines = file.readlines()
+         for line in lines:
+            try:
+                line = line.strip().split()
+                if '?' not in line:  # 只处理不包含缺失值的行
+                    features = [float(x) for x in line[:-1]]
+                    label = float(line[-1])
+                    if label == 0:
+                        label = -1  # 将类别0转换为 -1 ，符合SVM二分类的约定
+                    data.append(features)
+                    labels.append(label)
+            except ValueError:
+                print(f"数据解析出现问题，跳过该行数据: {line}")
+                continue
     return np.array(data), np.array(labels)
 
 if __name__ == "__main__":
@@ -111,5 +115,4 @@ if __name__ == "__main__":
 
     for i in range(len(X_test)):
         y_pred = predict_svm(X_test[i], weights)
-        print(f"预测结果: {y_pred}, 实际结果: {y_test[i]}")
-    print(f"预测结果: {y_pred}, 实际结果: {y_test[11]}")
+        print(f"预测结果: {y_pred}, 实际结果: {y_test[i]}")