Skip to main content

Light REST API for machine learned models

Project description

README

Build status Build Status Windows https://circleci.com/gh/sdpython/lightmlrestapi/tree/master.svg?style=svg https://badge.fury.io/py/lightmlrestapi.svg MIT License Requirements Status https://codecov.io/github/sdpython/lightmlrestapi/coverage.svg?branch=master GitHub Issues Waffle Notebook Coverage

Links:

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
lightmlrestapi-0.1.111-py3-none-any.whl (128.8 kB) Copy SHA256 hash SHA256 Wheel 3.7

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page