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scikit-api

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#Scikit API

Official page at https://99xt.github.io/scikit-api/.

Overview

Scikit API is a professionally-crafted state-of-art recommender system API service which runs as a simplified web service. It is based on popular python machine learning library known as Scikit-learn. As the entire service is developed inside a Docker container, anyone can easily up and run the service without worrying about underlying infrastructure and low level details.

SciKit API is highly recommended to be used as a boilerplate for beginners in Docker Services, Machine Learning and Application Development using AngularJS2.

Currently it’s under development and all are welcome to contribute!

Install Plugin

docker run 99xt/scikit-api

Contributing

If you'd like to contribute to scikit-api, that's awesome, and we <3 you. There's a guide to contributing to scikit-api (both code and general help) over in CONTRIBUTING.

Code of Conduct

Everyone interacting in the scikit-api project’s codebases, issue trackers, chat rooms, and mailing lists is expected to follow the Scikit-api code of conduct.

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Recommender system API service which runs as a simplified web service.

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