Scikit API is professional professionally crafted state-of-art. Recommender system API service service which run 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.
Currently it’s currently under development and all are welcome to contribute!.
docker run 99xt/scikit-api
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.
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.
