Skip to main content

A Markov model trained on Internet Archive text files.

Project description

Create Markov models trained on Internet Archive text files.

  • Free software: BSD license


pip install ia-markov

Quick Start

from ia_markov import MarkovModel

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


To run the all tests run:


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

set PYTEST_ADDOPTS=--cov-append
PYTEST_ADDOPTS=--cov-append tox


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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

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

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page