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Addon to Django apps that allows to retrain Spacy NER with active learning.

Project description

Spacy Active learning
====================

.. image:: https://zenodo.org/badge/130271493.svg
:target: https://zenodo.org/badge/latestdoi/130271493

Django app that uses active learning (deliberately picking the examples to annotate) to retrain the spaCy_ NER module more effectively.

Prerequisites
-------------

For spacyal to run you need a working Celery_ installation. Something along the lines of::

from __future__ import absolute_import, unicode_literals
import os
from celery import Celery

app = Celery('tasks')

# Using a string here means the worker doesn't have to serialize
# the configuration object to child processes.
# - namespace='CELERY' means all celery-related configuration keys
# should have a `CELERY_` prefix.
app.config_from_object('django.conf:settings', namespace='CELERY')

# Load task modules from all registered Django app configs.
app.autodiscover_tasks()


@app.task(bind=True)
def debug_task(self):
print('Request: {0!r}'.format(self.request))


Installation
------------

* Install the package
* include spacyal.urls and spacyal.api_urls in your main url definition
* ensure that you have a base template called base.html
* run python manage.py migrate
* and you should be good to go


.. _Celery: http://www.celeryproject.org/
.. _spaCy: https://www.spacy.io

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Filename, size & hash SHA256 hash help File type Python version Upload date
acdh-spacyal-0.3.6.tar.gz (30.0 kB) Copy SHA256 hash SHA256 Source None Aug 6, 2018

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