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.'
Documentation
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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