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
Description of changes:
Simply pass through **kwargs from the method call to its internal method call, which will allow passing through inference_kwargs that may be required for inference (for example future_covariates).
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Issue #116
Description of changes: Simply pass through **kwargs from the method call to its internal method call, which will allow passing through inference_kwargs that may be required for inference (for example future_covariates).
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.