更新 function.py

function.py

@@ -50,11 +50,16 @@ def classify0(inX, dataSet, labels,k=4):
     Returns:
     - int: 预测的分类标签。
     """
-    dataSetSize = dataSet.shape[0]  
-    diffMat = np.tile(inX, (dataSetSize, 1)) - dataSet  
+    if dataSet.shape[0] == 0:  
+        raise ValueError("数据集为空")  
+      
+    # 确保 k 不大于数据集的大小  
+    k = min(k, dataSet.shape[0])  
+      
+    # 计算测试样本与每个训练样本之间的距离  
+    diffMat = np.tile(inX, (dataSet.shape[0], 1)) - dataSet  
     sqDiffMat = diffMat ** 2  
-    sqDistances = sqDiffMat.sum(axis=1)  
-    distances = sqDistances ** 0.5  
+    distances = np.sqrt(sqDiffMat.sum(axis=1))  
       
     # 对距离进行排序，并获取索引  
     sortedDistIndicies = distances.argsort()