pytropic 1.0.0

Train and predict string entropy based on character n-grams

Pytropic

[](https://github.com/willf/pytropic/actions/workflows/test.yml)

<img alt=”An python with a lot of entropy” src=”https://user-images.githubusercontent.com/37049/192400489-7a2fdc49-b29a-4299-a1c6-97c8b97b2eaf.png” width=150>

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

Train a model on a corpus of text

..ipython::

In [1]: from pytropic import pytropic

In [2]: en = pytropic.Model(name=’English 3-gram’, size=3)

In [3]: fr = pytropic.Model(name=’French 3-gram’, size=3)

In [4]: with open(‘./corpora/bible-english.txt’) as f: …: en.train(f) …:

In [5]: with open(‘./corpora/bible-french.txt’) as f: …: fr.train(f) …:

In [6]: t = {‘en’: en, ‘fr’: fr}

In [7]: min(t, key=lambda x: t[x].entropy(“this is a test”)) Out[7]: ‘en’

In [8]: min(t, key=lambda x: t[x].entropy(“c’est un test”)) Out[8]: ‘fr’

History

0.1.0 (2018-02-19)

• First release on PyPI.