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《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering

License: MIT License

Jupyter Notebook 95.63% Roff 0.03% CSS 0.01% Python 3.78% Dockerfile 0.03% Makefile 0.36% Batchfile 0.15% Shell 0.01%

docker machine-learning python software-engineering

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book-ml-sem's Issues

第一章缩进问题

书本中第一章，页数27，增加先验的注释下，第7行代码self.train()开始到结束，均需要缩进四行。

第一章勘误2有误

def judge(score_dict):
'''二分类'''
keys = self.CAT #list(score_dict.keys())

应该是

def judge(score_dict):
'''二分类'''
keys = EmailClassifier.CAT

第一章 7.预测与验证中的文件路径问题

s = '../data/processed/spam_400/'
h = '../data/processed/ham_1120/'
clf = EmailClassifier(s, h)
clf.train()

请问这里的s和h的路径是哪里来的？我翻了上下文和仓库里的数据包，都没有找到这个文件路径

第一章 “增加先验” 无法通过单元测试

书中第27页的代码

def score(self, email_file):
    if self.total_count[self.CAT[0]] == 0 or self.total_count[self.CAT[1]] == 0:
        self.train()

    result = self.P.copy()
    for ww in EmailClassifier.get_words_from_file(email_file):
        for cc in self.CAT:
            v = self.training[cc][ww]
            p = (v + 1) / (self.total_count[cc] + 1)
            result[cc] *= p

这段代码无法通过单元测试，存在两个问题，

AssertionError: None is not an instance of <class 'dict'> : Second argument is not a dictionary
AssertionError: {'ham': 0.0034722, 'spam': 0.0019436} != {'ham': 0.003472222222222222, 'spam': 0.0019436345966958213}

{'ham': 0.0034722, 'spam': 0.0019436}

{'ham': 0.003472222222222222, 'spam': 0.0019436345966958213}
? +++++++++++ ++++++++++++

建议修改如下：

def score(self, email_file):
    if self.total_count[self.CAT[0]] == 0 or self.total_count[self.CAT[1]] == 0:
        self.train()

    result = self.P.copy()
    for ww in EmailClassifier.get_words_from_file(email_file):
        for cc in self.CAT:
            v = self.training[cc][ww]
            p = (v + 1) / (self.total_count[cc] + 1)
            result[cc] *= p
            result[cc] = round(result[cc], 7)
    return result

chansonz / book-ml-sem Goto Github PK

book-ml-sem's People

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book-ml-sem's Issues

第一章缩进问题

第一章勘误2有误

第一章 7.预测与验证中的文件路径问题

第一章 “增加先验” 无法通过单元测试

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