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A Markov model trained on Internet Archive text files.

Project description

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.'

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

0.2.0 (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.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
ia_markov-0.2.1-py2.py3-none-any.whl (3.3 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Sep 2, 2018
ia-markov-0.2.1.tar.gz (18.2 kB) Copy SHA256 hash SHA256 Source None Sep 2, 2018

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