更新 function.py

function.py

@@ -32,7 +32,7 @@ def sigmoid(z):
     """Sigmoid 激活函数。"""
     return 1.0 / (1 + np.exp(-z))
 
-def train_logreg(X, y, learning_rate=0.05, iterations=1500, batch_size=64, reg_lambda=0.01):
+def train_logreg(X, y, learning_rate=0.001, iterations=1500, batch_size=64, reg_lambda=0.01):
     """训练逻辑回归模型的函数，使用梯度下降算法。"""
     m, n = X.shape
     weights = np.random.randn(n) * 0.01  # 初始化权重