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https://github.com/accraze/python-ia-markov

Train Markov models on Internet Archive text files.
https://github.com/accraze/python-ia-markov

markov-chain markov-model markov-text nlp text-generation text-generator

Last synced: 23 days ago
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Train Markov models on Internet Archive text files.

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README

        

========
Overview
========

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* - docs
- |docs|
* - tests
- | |travis| |requires|
| |coveralls| |codecov|
* - package
- |version| |wheel| |supported-versions| |supported-implementations|

.. |docs| image:: https://readthedocs.org/projects/python-ia-markov/badge/?style=flat
:target: https://readthedocs.org/projects/python-ia-markov
:alt: Documentation Status

.. |travis| image:: https://travis-ci.org/accraze/python-ia-markov.svg?branch=master
:alt: Travis-CI Build Status
:target: https://travis-ci.org/accraze/python-ia-markov

.. |requires| image:: https://requires.io/github/accraze/python-ia-markov/requirements.svg?branch=master
:alt: Requirements Status
:target: https://requires.io/github/accraze/python-ia-markov/requirements/?branch=master

.. |coveralls| image:: https://coveralls.io/repos/accraze/python-ia-markov/badge.svg?branch=master&service=github
:alt: Coverage Status
:target: https://coveralls.io/r/accraze/python-ia-markov

.. |codecov| image:: https://codecov.io/github/accraze/python-ia-markov/coverage.svg?branch=master
:alt: Coverage Status
:target: https://codecov.io/github/accraze/python-ia-markov

.. |version| image:: https://img.shields.io/pypi/v/ia-markov.svg?style=flat
:alt: PyPI Package latest release
:target: https://pypi.python.org/pypi/ia-markov

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:alt: PyPI Package monthly downloads
:target: https://pypi.python.org/pypi/ia-markov

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:alt: PyPI Wheel
:target: https://pypi.python.org/pypi/ia-markov

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:alt: Supported versions
:target: https://pypi.python.org/pypi/ia-markov

.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/ia-markov.svg?style=flat
:alt: Supported implementations
:target: https://pypi.python.org/pypi/ia-markov

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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:

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- - Windows
- ::

set PYTEST_ADDOPTS=--cov-append
tox

- - Other
- ::

PYTEST_ADDOPTS=--cov-append tox