Autogluon-cloud aims to provide user tools to train, fine-tune and deploy AutoGluon backed models on the cloud. With just a few lines of codes, users could train a model and perform inference on the cloud without worrying about MLOps details such as resource management
Apache License 2.0
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Move Ray to optional dependency, update versions #135
Ray should be an optional dependency, and should be lazily imported only when used.
Additionally, the version ranges are outdated. They should match AutoGluon's version ranges.