Annotator based on Spacy NER
Project description
pyannotators_spacyner
Annotator based on Facebook's SpacyNER
Installation
You can simply pip install pyannotators_spacyner
.
Developing
Pre-requesites
You will need to install flit
(for building the package) and tox
(for orchestrating testing and documentation building):
python3 -m pip install flit tox
Clone the repository:
git clone https://github.com/oterrier/pyannotators_spacyner
Running the test suite
You can run the full test suite against all supported versions of Python (3.8) with:
tox
Building the documentation
You can build the HTML documentation with:
tox -e docs
The built documentation is available at `docs/_build/index.html.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for pyannotators_spacyner-0.5.222.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | c8f46714ce46dba1133a2631ebcea2ca4253968a77035181f808500d9c87f7fd |
|
MD5 | 0bd3b03ea7b86069d94a3b280fbbe33b |
|
BLAKE2b-256 | c2fa53f7e8d7f4bb47a1e5cb3242d77ffbc469928c3f81d02d54b022c066cda1 |
Close
Hashes for pyannotators_spacyner-0.5.222-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 095114791a6fe394a955ae6fbda191a6cbaf45f07fc5cd1d7dd4e37378cadd06 |
|
MD5 | e88b86ad224f025222264e357df8eb40 |
|
BLAKE2b-256 | 95e66e3228a24ff658443a17c0a31eac2c3c7c02f2f919511869f79dd00bc5ee |