ia-markov 0.3.1

A Markov model trained on Internet Archive text files.

Create Markov models trained on Internet Archive text files.

• Free software: BSD license

Installation

pip install ia-markov

Quick Start

from ia_markov import MarkovModel

m = MarkovModel()
m.train_model('FuturistManifesto')
m.model.make_sentence()
'Courage, audacity, and revolt will be drunk with love and admiration for us.'

Documentation

https://python-ia-markov.readthedocs.io/

Development

To run the all tests run:

tox

Note, to combine the coverage data from all the tox environments run:

Windows	set PYTEST_ADDOPTS=--cov-append tox
Other	PYTEST_ADDOPTS=--cov-append tox

Changelog

0.3.1 (2018-10-14)

• Added tests to sentence_split method - @danhenriquesc

0.3.0 (2018-10-05)

• Added MarkovModel.make_sentence - @Abelarm
• Use Spacy instead of NLTK for POS - @ex00
• Added pipenv for dependency management - @alxwrd
• Removed breaking coverage combine call in Travis CI build - @accraze

0.2.1 (2018-9-01)

• Updated NLTK to v3.3
• Updated markovify to v0.7.1
• Updated internetarchive to 1.8.1

0.2.0 (2018-7-29)

• Added ability to set custom hidden state sizes
• Fix flaky model test

0.1.3 (2018-7-22)

• EOL Py2.7 and Windows support
• Fix docs CI build

0.1.2 (2018-7-21)

• Test mocks when downloading corpus
• Deprecate Windows/appveyor support

0.1.1 (2018-7-14)

• Fixed failing flake8 check tests
• Updated travis CI build config

0.1.0 (2016-11-27)

• First release on PyPI.