更新 function.py

function.py

@@ -4,8 +4,7 @@ id = "202210423224"
 name = "吴杨洋"
 
 def sigmoid(z):
-    z = np.clip(z, -500, 500)  # 限制 z 的值范围以避免溢出
-    return 1 / (1 + np.exp(-z))
+    return 1 / (1 + np.exp(-np.clip(z, -500, 500)))
 
 def train_logreg(X, y, numIter=1000, learning_rate=0.01, lambda_reg=0.01, batch_size=64):
     m, n = X.shape
@@ -55,8 +54,7 @@ def load_data(filepath):
     data_number = len(y)
     y_train = np.array([1 if y[j] == '2' or y[j] == '3' else 0 for j in range(data_number)])
     X = np.array(data_list)
-    X_train = np.insert(X, 0, 1, axis=1)  # 添加偏置项
-    return X_train, y_train
+    return X, y_train
 
 def standardize(X):
     mean = X.mean(axis=0)