我在YouTube上观看了Google开发者关于机器学习的教程视频后，编写了这段代码，并尝试在Jupyter Python3笔记本中运行。链接：https://www.youtube.com/watch?v=AoeEHqVSNOw

我无法得到结果，因为我遇到了这个错误 ‘<‘ not supported between instances of ‘function’ and ‘function’

from scipy.spatial import distancedef euc(a,b):    return distance.euclideanclass KNN():    def fit(self,X_train,y_train):        self.X_train=X_train        self.y_train=y_train    def predict(self,X_test):        predictions=[]        for row in X_test:            label=self.closest(row)            predictions.append(label)        return predictions    def closest(self,row):        best_dist=euc(row, self.X_train[0])        best_index=0        for i in range(1,len(self.X_train)):            dist=euc(row,self.X_train[i])            if (dist < best_dist): # <--error here                best_dist=dist                best_index=i        return self.y_train[best_index]#KNeighbors Classifiermy_classifier=KNN()my_classifier.fit(X_train,y_train)predictions=my_classifier.predict(X_test)from sklearn.metrics import accuracy_scoreprint(accuracy_score(y_test,predictions))

回答：

def euc(a,b):    return distance.euclidean

您的函数 euc 返回的是 函数 distance.euclidean 的引用。

您应该 调用 它：

def euc(a,b):    return distance.euclidean(a, b)