spacy-api-docker
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Is it possible to train data?
Is it possible to use the spacy-api-docker image also to train data? For example I want to send training data for custom entities like:
TRAIN_DATA = [
(
"Horses are too tall and they pretend to care about your feelings",
{"entities": [(0, 6, MY_ANIMAL)]},
),
("Do they bite?", {"entities": []}),
(
"horses are too tall and they pretend to care about your feelings",
{"entities": [(0, 6, MY_ANIMAL)]},
),
]
Hi,
my company is also interested in using your service. Do you have any time estimate when training dockerized spacy will be integrated as a feature?
Best Alexander
I was eventually able to set up a Docker image with fastapi and spacy to provide the interfaces. You may find some ideas in our project Imixs-ML. https://github.com/imixs/imixs-ml/tree/master/imixs-ml-spacy