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mseeger avatar mseeger commented on May 29, 2024

The idea would be that we allow for list-valued hyperparameters in a config space. Each component can be a Domain or a fixed value.

Internally, this would be flattened when it comes to searchers and encodings.

This can certainly be done, but we should warn folks that high-D HPO is often failing if no special structure is present and assumed by the surrogate model.

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mseeger avatar mseeger commented on May 29, 2024

One technical blocker is that command line arguments for SageMaker training jobs are limited in length. What is possible is to pass parameters to a script as JSON file config.json. We could maybe provide some tooling to load this file inside a training script.

This is not a simple change.

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mseeger avatar mseeger commented on May 29, 2024

https://github.com/awslabs/syne-tune/blob/main/benchmarking/nursery/tuning_with_hyperparameter_file

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mseeger avatar mseeger commented on May 29, 2024

Example of how to read config from JSON file. This works for the local backend only at the moment. I can try and support this for the SageMaker backend as well.

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mseeger avatar mseeger commented on May 29, 2024

#577 is adressing this issue to some extent. It allows to pass fixed lists to the training script, but all hyperparameters to be optimized still have to be elementary types.

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mseeger avatar mseeger commented on May 29, 2024

I am closing this, since #577 is addressing the request partly. Since HPO methods are not ready to jointly tune many hyperparameters, we hesitate to offer list-valued domains, as this may send the wrong signal.

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