pytorch-crf
Conditional random field in PyTorch.
This package provides an implementation of linear-chain conditional random field (CRF) in PyTorch. This implementation borrows mostly from AllenNLP CRF module 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. 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.