Pytropic

Train and predict string entropy based on character n-grams

Features

• Train a model on a corpus of text
• multiple n-gram sizes
• Can name models

Example

>>> from pytropic import pytropic

>>> en = pytropic.Model(name='English 3-gram', size=3)
>>> fr = pytropic.Model(name='French 3-gram', size=3)

>>> with open('./corpora/bible-english.txt') as f:
        en.train(f)
>>> with open('./corpora/bible-french.txt') as f:
        fr.train(f)

>>> t = {'en': en, 'fr': fr}

>>> min(t, key=lambda x: t[x].entropy("this is a test"))
Out: 'en'

>>> min(t, key=lambda x: t[x].entropy("c'est un test"))
Out: 'fr'