更新 function.py

function.py

@@ -28,7 +28,7 @@ name = "董秋"
 
 
 # 这里写自己的代码实现
-def train_logreg(X, y, learning_rate=0.01, iterations=1000):
+def train_logreg(X, y, learning_rate=0.01, iterations=1000,lambda_reg=0.01):
     """
     对率回归训练函数。
 
@@ -98,7 +98,7 @@ if __name__ == "__main__":
     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)
+    weights = train_logreg(X_train, y_train, learning_rate=0.01, iterations=1000,lambda_reg=0.01)
 
     # 测试单个数据
     y_pred = predict_logreg(X_test[11], weights)