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
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