更新 function.py

function.py

@@ -27,6 +27,8 @@ id = "202210423629"
 name = "Tanjunfeng"
 
 # 这里写自己的代码实现
+import numpy as np
+
 def sigmoid(z):
     return 1 / (1 + np.exp(-z))
 
@@ -83,9 +85,20 @@ def load_data(filepath):
     - np.array: 特征数据。
     - np.array: 标签数据。
     """
-    data = np.loadtxt(filepath, delimiter=',')
-    X = data[:, :-1]
-    y = data[:, -1]
+    data = []
+    with open(filepath, 'r') as f:
+        for line in f:
+            row = []
+            values = line.strip().split()
+            for value in values:
+                try:
+                    row.append(float(value))
+                except ValueError:
+                    row.append(-1)
+            data.append(row)
+    np_data = np.array(data)
+    X = np_data[:, :-1]
+    y = np_data[:, -1]
     return X, y
 
 if __name__ == "__main__":
@@ -101,5 +114,4 @@ if __name__ == "__main__":
 
     # 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]}")
-
+    print(f"预测结果: {y_pred}, 实际结果: {y_test[11]}")