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![]() This PR adds a user guide to AIR for using Ray Train. It provides a high level overview of the trainers and removes redundant sections. The main file to review is here: doc/source/ray-air/trainer.rst. Signed-off-by: xwjiang2010 <xwjiang2010@gmail.com> Signed-off-by: Richard Liaw <rliaw@berkeley.edu> Signed-off-by: Kai Fricke <kai@anyscale.com> Co-authored-by: Richard Liaw <rliaw@berkeley.edu> Co-authored-by: Kai Fricke <kai@anyscale.com> |
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ai_runtime.jpg | ||
air-ecosystem.svg | ||
air-preprocessor.svg | ||
air_arch_1.png | ||
air_arch_2.png | ||
checkpoints.jpg | ||
data-sharing.svg | ||
ingest.svg | ||
predictors.png | ||
ray-air.svg | ||
session.svg | ||
train.svg | ||
tuner.svg | ||
why-air.png |