Probabilities as a Service
Available as a docker container with docker pull sdehaan/robby. The docker container allow the for the following environment variables:
REDIS_HOST, defaults to 127.0.0.1
REDIS_PORT, defaults to 6379
REDIS_DB, defaults to 1
ROBBY_PORT, defaults to 8080
ROBBY_PREFIX, the prefix for Redis keys, defaults to robby
ROBBY_STEMMING_LANGUAGE, defaults to english
ROBBY_TOKENIZER, the python callable to use for tokenizing. Defaults to robby.utils.english_tokenizer, robby.utils.dumb_tokenizer is also available.
Or pip install robby and run directly:
robby \
--redis-uri redis://127.0.0.1:6379/1 \
--interface 0.0.0.0 \
--port 8080 \
--prefix robby \
--stemming \
--stemming-language=english \
--tokenizer=robby.utils.english_tokenizer \
--debug
API
To train it:
$ curl -d 'training sample' http://localhost:8080/train/bucket-name/category
To untrain it:
$ curl -d 'training sample' http://localhost:8080/untrain/bucket-name/category
To train it in batches:
$ curl -d '[{"category": "category", "content": "training sample"}]' http://localhost:8080/batch/train/bucket-name
To classify:
$ curl -d 'sample message' http://localhost:8080/classify/bucket-name
{
"category": "category"
}
To get scoring:
$ curl -d 'sample message' http://localhost:8080/score/bucket-name
{
"category": 0.01
}
To get clear the db:
$ curl -X DELETE http://localhost:8080/flush/bucket-name
1 maintainer
Metadata
1 maintainer
Release files for robby 0.5.5
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Total release size: 26.3 kB
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