更新 function.py

function.py

@@ -56,7 +56,7 @@ def classify0(inX, dataSet, labels):
 # 计算数据集的协方差矩阵的逆
     VI = np.linalg.inv(np.cov(dataSet.T))
 # 计算 Mahalanobis 距离
-    distances =npzeros(dataSetSize)
+    distances =np.zeros(dataSetSize)
     for i in range(dataSetSize):
         distances[i]=mahalanobis(inX,dataSet[i],VI)
 # 对距离排序，获取前 k 个最近的样本索引
@@ -67,7 +67,9 @@ def classify0(inX, dataSet, labels):
         voteLabel=labels[sortedDistIndices[i]]
         classCount[voteLabel]=classCount.get(voteLabel,0)+1
 # 返回出现次数最多的标签
-    sortedClasscount=sorted(classCount.items(),key=operator,itemgetter(1),reverse=True)
+    sortedClasscount=sorted(
+        classCount.items(), key=operator, itemgetter(1), reverse = True
+    )
     return sortedclassCount[0][0]