更新 function.py

function.py

@@ -18,7 +18,7 @@ def compute_gradient(X_batch, y_batch, weights, lambda_reg):
     gradient += (lambda_reg / len(y_batch)) * weights  # L2正则化
     return gradient
 
-def train_logreg(X, y, learning_rate=0.001, iterations=10000, batch_size=64, lambda_reg=0.1):
+def train_logreg(X, y, learning_rate=0.001, iterations=10000, batch_size=32, lambda_reg=0.1):
     """对率回归训练函数。"""
     m, n = X.shape
     weights = np.random.randn(n) * np.sqrt(2. / n)  # He初始化
@@ -76,7 +76,7 @@ def load_data(filepath):
     print(f"数据加载成功，数据形状: {data.shape}, 标签形状: {target_variable.shape}")
     return data, target_variable
 
-def k_fold_cross_validation(X, y, k=5, learning_rate=0.001, iterations=10000, batch_size=64, lambda_reg=0.1):
+def k_fold_cross_validation(X, y, k=5, learning_rate=0.001, iterations=10000, batch_size=32, lambda_reg=0.1):
     """K折交叉验证。"""
     m = X.shape[0]
     fold_size = m // k