Description:
acdhspacyal 0.3.6
Spacy Active learning====================.. image:: https://zenodo.org/badge/130271493.svg :target: https://zenodo.org/badge/latestdoi/130271493Django 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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