.. Rafiki documentation master file, created by sphinx-quickstart on Mon Sep 17 16:39:17 2018. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to Rafiki's Documentation! ==================================================================== What is Rafiki? -------------------------------------------------------------------- *Rafiki* is a distributed system that trains machine learning (ML) models and deploys trained models, built with ease-of-use in mind. To do so, it leverages on automated machine learning (AutoML). For *Application Developers* and *Application Users*, without any ML expertise, they can: - Create a model training job for supported tasks, with their own datasets - Deploy an ensemble of trained models for inference - Integrate model predictions in their apps over HTTP For *Model Developers*, they can: - Contribute to Rafiki's pool of model templates Check out :ref:`quick-setup` to deploy/develop Rafiki on your machine, and/or :ref:`quick-start` to use a deployed instance of Rafiki. Index -------------------------------------------------------------------- .. toctree:: :maxdepth: 2 src/user/index.rst src/dev/index.rst src/python/index.rst Issues ------------------------------------------------------------------ Report any issues at `Apache SINGA's JIRA `_ or `Rafiki's Github Issues `_. Acknowledgements ------------------------------------------------------------------ The research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its National Cybersecurity R\&D Programme (Grant No. NRF2016NCR-NCR002-020), National Natural Science Foundation of China (No. 61832001), National Key Research and Development Program of China (No. 2017YFB1201001), China Thousand Talents Program for Young Professionals (3070011 181811).