markovipy 0.3.0

马尔科夫

当你给她完整的课文后，她试着用连贯的句子和你进行引人注目的对话。不，她不会抱怨你的语料库有多大。另外，不要问她是否能通过图灵测试。她可能不会再和你说话了。

我wrote a blog post如果你感兴趣的话，我会解释动机以及幕后的原因

安装

要安装markovipy，请在终端中运行此命令：

$ pip install markovipy

这是安装markovipy的首选方法，因为它总是安装最新的稳定版本。

如果您没有安装pip，这个Python installation guide可以指导您 你完成了整个过程。

用法

在项目中使用markovipy：

>>> from markovipy import MarkoviPy
>>>
>>> # create MarkoviPy object
>>> obj = MarkoviPy("/Users/tasrahma/development/projects/markovipy/corpus/ts_eliot/Gerontion_utf8.txt", 3)
>>>
>>>
>>> # arguments passed, is the initial corpus file and the markov chain length(defaults to 2 if nothing passed)
>>> obj.generate_sentence()
'Cammel, whirled Beyond the circuit of the shuddering Bear In fractured atoms.'
>>>
>>> obj.generate_sentence()
'After such knowledge, what forgiveness? Think now History has many cunning passages, contrived corridors And issues, deceives with whispering ambitions, Guides us by vanities.'
>>>
>>> obj.generate_sentence()
'Gull against the wind, in the windy straits Of Belle Isle, or running on the Horn, White feathers in the snow, the Gulf claims, And an old man, a dull head among windy spaces.'
>>>
>>> obj.generate_sentence()
'Silvero With caressing hands, at Limoges Who walked all night in the field overhead; Rocks, moss, stonecrop, iron, merds.'
>>>
>>> obj.generate_sentence()
"Gives too soon Into weak hands, what's thought can be dispensed with Till the refusal propagates a fear."

• 自由软件：GNU通用公共许可v3
• 文档：https://markovipy.readthedocs.io。

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