.. fahr documentation master file, created by sphinx-quickstart on Sun Mar 24 20:50:36 2019. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Fahr: building ML models on the cloud ===================================== ``fahr`` is a command-line tool for building machine learning models on cloud hardware with as little overhead as possible. ``fahr`` provides a simple unified interface to model training services like AWS SageMaker and Kaggle Kernels. By offloading model training to the cloud, `fahr` aims to make machine learning experimentation easy and fast. For a brief introduction refer to the `Quickstart`_. To learn more about the motivations for developing ``fahr``, read the "Introducing fahr" article (forthcoming). .. _Quickstart: https://residentmario.github.io/fahr/quickstart.html .. _API Reference: https://residentmario.github.io/fahr/fahr.html .. toctree:: :maxdepth: 1 installation.rst quickstart.rst User Guide Kaggle Driver SageMaker Driver API Reference Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`