更新 function.py

function.py

@@ -63,7 +63,6 @@ def classify(input_vector, dataSet, labels, k=3):
     predicted_label = np.bincount(nearest_labels).argmax()
     return predicted_label
 
-
 # 这里也写自己的代码实现
 def load_dataset(directory):
     """
@@ -88,7 +87,6 @@ def load_dataset(directory):
             data.append(vector)
     return np.array(data), np.array(labels)
 
-
 # 这里还写自己的代码实现
 def img_to_vector(filename):
     """
@@ -126,6 +124,4 @@ if __name__ == "__main__":
     # 打印准确率
     accuracy = correct_count / len(test_data) * 100
     print(f"测试集的准确率: {accuracy:.2f}%")
-    )
-