Ch04
所属分类：人工智能/神经网络/深度学习
开发工具：Python
文件大小：28KB
下载次数：1
上传日期：2018-09-10 21:07:54
上 传 者：
金小
说明： 贝叶斯算法使用python ,内含测试数据文件，数据为多个txt格式的邮件文件。
(The bayesian algorithm USES python, which contains test data files that are multiple mail files in TXT format.)
文件列表:
Ch04\bayes.py (7247, 2010-10-24)
Ch04\bayes.pyc (6957, 2011-12-19)
Ch04\email\ham\1.txt (148, 2010-10-23)
Ch04\email\ham\10.txt (86, 2010-10-23)
Ch04\email\ham\11.txt (130, 2010-10-23)
Ch04\email\ham\12.txt (182, 2010-10-23)
Ch04\email\ham\13.txt (174, 2010-10-23)
Ch04\email\ham\14.txt (172, 2010-10-23)
Ch04\email\ham\15.txt (531, 2010-10-23)
Ch04\email\ham\16.txt (90, 2010-10-23)
Ch04\email\ham\17.txt (464, 2010-10-23)
Ch04\email\ham\18.txt (175, 2010-10-23)
Ch04\email\ham\19.txt (161, 2010-10-23)
Ch04\email\ham\2.txt (234, 2010-10-23)
Ch04\email\ham\20.txt (208, 2010-10-23)
Ch04\email\ham\21.txt (234, 2010-10-23)
Ch04\email\ham\22.txt (330, 2010-10-23)
Ch04\email\ham\23.txt (608, 2010-10-23)
Ch04\email\ham\24.txt (42, 2010-10-23)
Ch04\email\ham\25.txt (89, 2010-10-23)
Ch04\email\ham\3.txt (371, 2010-10-23)
Ch04\email\ham\4.txt (207, 2010-10-23)
Ch04\email\ham\5.txt (114, 2010-10-23)
Ch04\email\ham\6.txt (1464, 2010-10-23)
Ch04\email\ham\7.txt (109, 2010-10-23)
Ch04\email\ham\8.txt (638, 2010-10-23)
Ch04\email\ham\9.txt (146, 2010-10-23)
Ch04\email\spam\1.txt (238, 2010-10-23)
Ch04\email\spam\10.txt (217, 2010-10-23)
Ch04\email\spam\11.txt (414, 2010-10-23)
Ch04\email\spam\12.txt (188, 2010-10-23)
Ch04\email\spam\13.txt (252, 2010-10-23)
Ch04\email\spam\14.txt (210, 2010-10-23)
Ch04\email\spam\15.txt (338, 2010-10-23)
Ch04\email\spam\16.txt (338, 2010-10-23)
Ch04\email\spam\17.txt (254, 2010-10-23)
Ch04\email\spam\18.txt (258, 2010-10-23)
Ch04\email\spam\19.txt (398, 2010-10-23)
Ch04\email\spam\2.txt (298, 2010-10-23)
Ch04\email\spam\20.txt (362, 2010-10-23)
... ...
This folder contains the code used to create the plots in the examples.
The code is not very difficult, however I never meant for it to go out to readers.
It’s not the cleanest code nor very well documented. Most of the time I threw
together a dirty hack to make the plots look right, with no thoughts about
efficiency or readability. I’m providing it as-is, if you have a question on
how it works or why I did something please ask, I will be more than happy to answer
any questions.
Peter Harrington
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