Light REST API for machine learned models
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lightmlrestapi implements a light machine learning REST API based on falcon. You can test a dummy wsgi server by running:
start_mlrestapi --name=dummy
And then query it with:
import requests import ujson features = ujson.dumps({'X': [0.1, 0.2]}) r = requests.post('http://127.0.0.1:8081', data=features) print(r) print(r.json())
It should return:
{'Y': [[0.4994216179, 0.4514893599, 0.0490890222]]}
History
current - 2018-11-14 - 0.00Mb
6: allow a zip file which contains data and code (2018-11-13)
9: add version number to REST API (2018-11-13)
4: add authentification to the rest api (2018-11-13)
0.1.88 - 2018-11-05 - 0.11Mb
8: allow clear logs (2018-11-02)
5: add a load function (2018-11-02)
3: add ip address in the logging (2018-04-15)
2: add encrypted logging (2018-04-15)
1: fix gallery of examples (style) (2018-01-05)
0.1.37 - 2017-12-06 - 0.10Mb
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