更新 function.py

function.py

@@ -82,9 +82,17 @@ def accuracy(X, y, weights):
     return np.mean(predictions == y)
 
 
+    # 以下代码可用于测试，可自行随意修改
 if __name__ == '__main__':
-    X_train, y_train = load_data("./horse-colic.data")
-    X_test, y_test = load_data("./horse-colic.test")
-    final_weights = train_logreg(X_train, y_train)
-    final_accuracy = accuracy(X_test, y_test, final_weights)
-    print(f"最终测试集的准确率: {final_accuracy:.4f}")
+    # 加载训练集
+    X_train, y_train = load_data("./data/horse-colic.data")
+
+    # 加载测试集
+    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)
+
+    # 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]}")