pytorch-crf

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.