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Disclosure: I work at Google on Kubeflow

Interesting! I read up on Sagemaker here[1] and didn't see any AutoML style training/tuning features, but you would certainly know better than me :)

[1] https://aws.amazon.com/blogs/aws/sagemaker/

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As far as I know, they haven't implemented the HPO on Sagemaker. They're planning to implement it soon. There's still no date announced.

HPO means Hyper Parameter Optimization? Because AutoML has nothing to do with it, AutoML is mostly about the architecture of the model, not about Hyper Parameter Optimization.

model shape is a hyperparameter ;)

for the same logic the researcher is another hyperparameter

(I know you are right, but so many people here think AutoML is exactly the same that the HPO they were doing since long time ago)

That's fair, yes automl is not simply tuning the learning rate and picking your favorite nonlinearity, its fancier than that, but its still tuning hyperparamters.

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