机器学习实战第二章knn算法(3)

def classifyPerson():
    resultList = ['not at all', 'in small doses', 'in large doses']
    percentTats = float(input("percentage of time spent playing video games ?")) 
    #raw_inout函数允许用户输入文本行命令并返回用户所输人的命令
    ffMiles = float(input("frequent filer miles earned per year?"))
    iceCream = float(input("liters of ice cream consumed per year?"))
    datingDataMat, datingLabels = file2matrix('datingTestSet2.txt')
    normMat, ranges, minVals = autoNorm(datingDataMat)
    inArr = array([ffMiles, percentTats, iceCream])
    classifierResult = classify0((inArr-minVals)/ranges,normMat,datingLabels, 3)
    print("You will probably like this person: ", resultList[classifierResult - 1])