#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.