机器学习实战 笔记 debug（一） kNN

代码

from numpy import *import operatordef createDataSet():    group = array([[1.0,1.1],[1.0,1.0],[0,0],[0,0.1]])    labels = ['A','A','B','B']    return group, labelsdef classify0(inX, dataSet, labels, k):    dataSetSize = dataSet.shape[0]    diffMat = tile(inX, (dataSetSize,1)) - dataSet    sqDiffMat = diffMat**2    sqDistances = sqDiffMat.sum(axis=1)    distances = sqDistances**0.5    sortedDistIndices = distances.argsort()    classCount = {}    for i in range(k):        voteIlabel = labels[sortedDistIndices[i]]        classCount[voteIlabel] = classCount.get(voteIlabel,0) + 1    sortedClassCount = sorted(classCount.iteritems(),                              key=operator.itemgetter(1), reverse=True)    return sortedClassCount[0][0]

bug
1.pycharm console 在tool里
2.console中 输入kNN.classify0([0,0],group,labels,3)报错

module 'kNN' has no attribute 'classify0'

确保kNN.py在工作路径，在console中import kNN 或者 from kNN import *；编辑kNN.py后可能需要重启pycharm，或者使用reload

多次重复使用import语句时，不会重新加载被指定的模块，只是把对该模块的内存地址给引用到本地变量环境。

3.console中 输入kNN.classify0([0,0],group,labels,3)报错

‘dict' object has no attribute 'iteritems'

因为python2和python3的不兼容，需要将iteritems变为items

结果