===============
python-crfsuite
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python-crfsuite is a python binding to CRFsuite_.
Installation
Using pip
::
pip install python-crfsuite
Using conda
::
conda install -c conda-forge python-crfsuite
Usage
See docs_ and an example_.
.. _docs: http://python-crfsuite.rtfd.org/
.. _example: https://github.com/scrapinghub/python-crfsuite/blob/master/examples/CoNLL%202002.ipynb
See Also
sklearn-crfsuite_ is a python-crfsuite wrapper which provides
API similar to scikit-learn.
.. _sklearn-crfsuite: https://github.com/TeamHG-Memex/sklearn-crfsuite
Contributing
- Source code: https://github.com/scrapinghub/python-crfsuite
- Issue tracker: https://github.com/scrapinghub/python-crfsuite/issues
Feel free to submit ideas, bugs reports, pull requests or regular patches.
In order to run tests, install Cython_ (> 0.24.1) and tox_, then type
::
./update_cpp.sh; tox
from the source checkout.
Please don't commit generated cpp files in the same commit as other files.
.. _Cython: http://cython.org/
.. _tox: http://tox.testrun.org
Authors and Contributors
Original authors are Terry Peng pengtaoo@gmail.com and
Mikhail Korobov kmike84@gmail.com. Many other people contributed;
some of them can be found at github Contributors_ page.
Bundled CRFSuite_ C/C++ library is by Naoaki Okazaki & contributors.
.. _Contributors: https://github.com/scrapinghub/python-crfsuite/graphs/contributors
License
python-crfsuite is licensed under MIT license.
CRFsuite_ library is licensed under BSD license.
.. _CRFsuite: https://github.com/chokkan/crfsuite
Alternatives
- https://github.com/chokkan/crfsuite/tree/master/swig/python - official
Python wrapper, exposes C++ API using SWIG. - https://github.com/jakevdp/pyCRFsuite - uses C API instead of C++ API;
allows to use scipy sparse matrices as an input. At the time of writing
it is unmaintained. - https://github.com/bosondata/crfsuite-rs - uses a Rust wrapper with CFFI instead of C++ API;
allows to tag with GIL released for better performance.
This package (python-crfsuite) wraps CRFsuite C++ API using Cython.
It is faster than official SWIG wrapper and has a simpler codebase than
a more advanced pyCRFsuite. python-crfsuite works in Python 2 and Python 3,
doesn't have external dependencies (CRFsuite is bundled, numpy/scipy stack
is not needed) and workarounds some of the issues with C++ CRFsuite library.