Metadata-Version: 2.1
Name: pytorch-crf
Version: 0.7.2
Summary: Conditional random field in PyTorch
Home-page: https://github.com/kmkurn/pytorch-crf
Author: Kemal Kurniawan
Author-email: kemal@kkurniawan.com
License: MIT
Keywords: torch
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.6, <4

pytorch-crf
===========

Conditional random field in `PyTorch <http://pytorch.org/>`_.

.. image:: https://badge.fury.io/py/pytorch-crf.svg
   :target: https://badge.fury.io/py/pytorch-crf

.. image:: https://travis-ci.org/kmkurn/pytorch-crf.svg?branch=master
   :target: https://travis-ci.org/kmkurn/pytorch-crf

.. image:: https://coveralls.io/repos/github/kmkurn/pytorch-crf/badge.svg?branch=master
   :target: https://coveralls.io/github/kmkurn/pytorch-crf?branch=master

.. image:: https://cdn.rawgit.com/syl20bnr/spacemacs/442d025779da2f62fc86c2082703697714db6514/assets/spacemacs-badge.svg
   :target: http://spacemacs.org

This package provides an implementation of `conditional random field
<https://en.wikipedia.org/wiki/Conditional_random_field>`_ (CRF) in PyTorch.
This implementation borrows mostly from `AllenNLP CRF module
<https://github.com/allenai/allennlp/blob/master/allennlp/modules/conditional_ra
ndom_field.py>`_ with some modifications.

Documentation
=============

https://pytorch-crf.readthedocs.io/

License
=======

MIT

Contributing
============

Contributions are welcome! Please follow these instructions to install
dependencies and running the tests and linter.

Installing dependencies
-----------------------

Make sure you setup a virtual environment with Python and PyTorch
installed. Then, install all the dependencies in ``requirements.txt`` file and
install this package in development mode.

::

    pip install -r requirements.txt
    pip install -e .

Setup pre-commit hook
---------------------

Simply run::

    ln -s ../../pre-commit.sh .git/hooks/pre-commit

Running tests
-------------

Run ``pytest`` in the project root directory.

Running linter
--------------

Run ``flake8`` in the project root directory. This will also run ``mypy``,
thanks to ``flake8-mypy`` package.


