机器学习实战代码勘误
2.2.1第二段代码
L2：datingDataMat,datingLabels = kNN.file2matrix('datingTestSet.txt') -> datingDataMat,datingLabels = kNN.file2matrix('datingTestSet.txt')
2.2.5 Listing 2.5
L5:ffMiles = float(raw_input("frequent flier miles earned per year?")) -> ffMiles = float(input("frequent flier miles earned per year?"))
L6、L7同上
3.2.2 Listing 3.6
L3: firstStr = myTree.keys()[0] -> firstStr = myTree.keys()[0]
L13: firstStr = myTree.keys()[0] -> firstStr = myTree.keys()[0]
3.3.2 Listing 3.9
L4: fw = open(filename,'w')->fw = open(filename,'wb')
L10: fr = open(filename)->fr = open(filename, 'rb)
4.6.1第二段代码
L2:regEx = re.compile('\\W*') -> regEx = re.compile('\\W+')
4.6.2 Listing 4.5
L13:wordList = textParse(open('email/ham/%d.txt' % i, encoding='ISO-8859-15').read())->wordList = textParse(open('email/ham/%d.txt' % i).read())
4.7.1 第一段代码
在cmd下，将路径切换到python安装路径的scripts文件下，例如：C:\Users\xxx\anaconda3\Scripts，（很关键）通过pip install feedparser进行安装
这个方法亲测不成功，feedParser下不下来
6.2.1 公式2
公式中的ahpha和a可以看作是同一个符号
6.2.1 公式4、公式5
i-1 -> i=1
8.2 公式2 分子少了一个平方符号
9.2 Listing9.1
L13: mat0 = dataSet[nonzero(dataSet[:,feature] > value)[0],:][0] -> mat0 = dataSet[nonzero(dataSet[:, feature] <= value)[0], :]
L14同上
13.2.2 Listing 13.1
L6：datArr = [map(float,line) for line in stringArr] -> datArr = [list(map(float,line)) for line in stringArr]